2025-08-26T20:07:14.3903348Z Current runner version: '2.328.0'
2025-08-26T20:07:14.3909412Z Runner name: 'i-01396842c8dc9f563'
2025-08-26T20:07:14.3910124Z Runner group name: 'default'
2025-08-26T20:07:14.3910972Z Machine name: 'ip-10-0-55-38'
2025-08-26T20:07:14.3913249Z ##[group]GITHUB_TOKEN Permissions
2025-08-26T20:07:14.3915570Z Contents: read
2025-08-26T20:07:14.3916087Z Metadata: read
2025-08-26T20:07:14.3916506Z ##[endgroup]
2025-08-26T20:07:14.3918780Z Secret source: Actions
2025-08-26T20:07:14.3919348Z Prepare workflow directory
2025-08-26T20:07:14.4337713Z Prepare all required actions
2025-08-26T20:07:14.4372693Z Getting action download info
2025-08-26T20:07:14.6982110Z Download action repository 'pytorch/test-infra@main' (SHA:0192d56cb596bb73b125bd368553908cc5c513f0)
2025-08-26T20:07:17.0102041Z Download action repository 'pytorch/pytorch@main' (SHA:9f6e1b8730d6a7a7d012be90ae08674294aa4933)
2025-08-26T20:07:33.2390773Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-26T20:07:33.6218027Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-26T20:07:33.8999152Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-26T20:07:34.0840146Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T20:07:34.3762674Z Getting action download info
2025-08-26T20:07:34.4761938Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-26T20:07:34.7766452Z Getting action download info
2025-08-26T20:07:34.8994620Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-26T20:07:35.1243613Z Getting action download info
2025-08-26T20:07:35.2570150Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-26T20:07:35.5283883Z Getting action download info
2025-08-26T20:07:35.6616983Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (262640fd220236042fbf4443cc163c8838c84c3d)
2025-08-26T20:07:35.6620929Z ##[group] Inputs
2025-08-26T20:07:35.6621260Z   build-environment: linux-jammy-py3.9-gcc11-build
2025-08-26T20:07:35.6623241Z   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"}]}
2025-08-26T20:07:35.6625402Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:07:35.6626016Z   sync-tag: 
2025-08-26T20:07:35.6626745Z   timeout-minutes: 240
2025-08-26T20:07:35.6626946Z   use-gha: 
2025-08-26T20:07:35.6627133Z   dashboard-tag: 
2025-08-26T20:07:35.6627342Z   s3-bucket: gha-artifacts
2025-08-26T20:07:35.6627562Z   aws-role-to-assume: 
2025-08-26T20:07:35.6627982Z   disable-monitor: false
2025-08-26T20:07:35.6628229Z   monitor-log-interval: 5
2025-08-26T20:07:35.6628788Z   monitor-data-collect-interval: 1
2025-08-26T20:07:35.6629159Z ##[endgroup]
2025-08-26T20:07:35.6629557Z Complete job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:07:35.7156985Z A job started hook has been configured by the self-hosted runner administrator
2025-08-26T20:07:35.7246626Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-26T20:07:35.7255264Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:35.7255782Z ##[endgroup]
2025-08-26T20:07:36.7417765Z Runner Type: linux.8xlarge.amx
2025-08-26T20:07:36.7418316Z Instance Type: m7i-flex.8xlarge
2025-08-26T20:07:36.7418680Z AMI Name: unknown
2025-08-26T20:07:36.7461266Z AMI ID: ami-05ffe3c48a9991133
2025-08-26T20:07:41.2019883Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-26T20:07:41.2020384Z with:
2025-08-26T20:07:41.2021135Z   github-secret: ***
2025-08-26T20:07:41.2021735Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-26T20:07:41.2022429Z   activate-with-label: false
2025-08-26T20:07:41.2022741Z   label: with-ssh
2025-08-26T20:07:41.2023007Z   remove-existing-keys: true
2025-08-26T20:07:41.2023302Z   fail-silently: true
2025-08-26T20:07:41.2023643Z env:
2025-08-26T20:07:41.2023881Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:41.2024211Z ##[endgroup]
2025-08-26T20:07:41.3272362Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-26T20:07:41.3273388Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-26T20:07:41.3518311Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-26T20:07:41.3518670Z with:
2025-08-26T20:07:41.3518869Z   no-sudo: true
2025-08-26T20:07:41.3519071Z   submodules: recursive
2025-08-26T20:07:41.3519292Z   fetch-depth: 0
2025-08-26T20:07:41.3519479Z env:
2025-08-26T20:07:41.3519653Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:41.3519891Z ##[endgroup]
2025-08-26T20:07:41.3596839Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:07:41.3597504Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:07:41.3605041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:41.3605324Z env:
2025-08-26T20:07:41.3605548Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:41.3605791Z ##[endgroup]
2025-08-26T20:07:41.3698282Z ##[group]Run # Use all available CPUs for fetching
2025-08-26T20:07:41.3698660Z # Use all available CPUs for fetching
2025-08-26T20:07:41.3698931Z cd "${GITHUB_WORKSPACE}"
2025-08-26T20:07:41.3699186Z git config --global fetch.parallel 0
2025-08-26T20:07:41.3699474Z git config --global submodule.fetchJobs 0
2025-08-26T20:07:41.3699751Z 
2025-08-26T20:07:41.3700034Z # Clean workspace. The default checkout action should also do this, but
2025-08-26T20:07:41.3700379Z # do it here as well just in case
2025-08-26T20:07:41.3700624Z if [[ -d .git ]]; then
2025-08-26T20:07:41.3700853Z   if [ -z "${NO_SUDO}" ]; then
2025-08-26T20:07:41.3701089Z     sudo git clean -ffdx
2025-08-26T20:07:41.3701301Z   else
2025-08-26T20:07:41.3701493Z     git clean -ffdx
2025-08-26T20:07:41.3701702Z   fi
2025-08-26T20:07:41.3701877Z fi
2025-08-26T20:07:41.3706827Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:07:41.3707113Z env:
2025-08-26T20:07:41.3707414Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:41.3707636Z   NO_SUDO: true
2025-08-26T20:07:41.3707815Z ##[endgroup]
2025-08-26T20:07:41.3820301Z ##[group]Run actions/checkout@v4
2025-08-26T20:07:41.3820553Z with:
2025-08-26T20:07:41.3820751Z   ref: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:07:41.3821172Z   fetch-depth: 0
2025-08-26T20:07:41.3821365Z   submodules: recursive
2025-08-26T20:07:41.3821563Z   show-progress: false
2025-08-26T20:07:41.3821773Z   repository: pytorch/pytorch
2025-08-26T20:07:41.3822104Z   token: ***
2025-08-26T20:07:41.3822280Z   ssh-strict: true
2025-08-26T20:07:41.3822455Z   ssh-user: git
2025-08-26T20:07:41.3822642Z   persist-credentials: true
2025-08-26T20:07:41.3822848Z   clean: true
2025-08-26T20:07:41.3823049Z   sparse-checkout-cone-mode: true
2025-08-26T20:07:41.3823268Z   fetch-tags: false
2025-08-26T20:07:41.3823448Z   lfs: false
2025-08-26T20:07:41.3823629Z   set-safe-directory: true
2025-08-26T20:07:41.3823839Z env:
2025-08-26T20:07:41.3824004Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:07:41.3824199Z ##[endgroup]
2025-08-26T20:07:41.4760515Z Syncing repository: pytorch/pytorch
2025-08-26T20:07:41.4761652Z ##[group]Getting Git version info
2025-08-26T20:07:41.4761977Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:07:41.4762451Z [command]/usr/bin/git version
2025-08-26T20:07:41.5018883Z git version 2.47.1
2025-08-26T20:07:41.5043850Z ##[endgroup]
2025-08-26T20:07:41.5053666Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/bdc05c3b-425e-4151-a860-c31909a2b3a2/.gitconfig'
2025-08-26T20:07:41.5080922Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bdc05c3b-425e-4151-a860-c31909a2b3a2' before making global git config changes
2025-08-26T20:07:41.5087008Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T20:07:41.5088362Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:07:41.5137730Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-26T20:07:41.5145599Z ##[group]Initializing the repository
2025-08-26T20:07:41.5151209Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:07:41.5205622Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-26T20:07:41.5207411Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-26T20:07:41.5207805Z hint: of your new repositories, which will suppress this warning, call:
2025-08-26T20:07:41.5208086Z hint:
2025-08-26T20:07:41.5208313Z hint: 	git config --global init.defaultBranch <name>
2025-08-26T20:07:41.5208548Z hint:
2025-08-26T20:07:41.5208777Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-26T20:07:41.5209163Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-26T20:07:41.5209437Z hint:
2025-08-26T20:07:41.5209615Z hint: 	git branch -m <name>
2025-08-26T20:07:41.5231359Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-26T20:07:41.5238759Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-26T20:07:41.5284921Z ##[endgroup]
2025-08-26T20:07:41.5290782Z ##[group]Disabling automatic garbage collection
2025-08-26T20:07:41.5296203Z [command]/usr/bin/git config --local gc.auto 0
2025-08-26T20:07:41.5324154Z ##[endgroup]
2025-08-26T20:07:41.5327873Z ##[group]Setting up auth
2025-08-26T20:07:41.5328277Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T20:07:41.5358813Z [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' || :"
2025-08-26T20:07:41.5738583Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T20:07:41.5767258Z [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' || :"
2025-08-26T20:07:41.6109342Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:07:41.6199726Z ##[endgroup]
2025-08-26T20:07:41.6200363Z ##[group]Fetching the repository
2025-08-26T20:07:41.6202584Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-26T20:08:31.2213786Z From https://github.com/pytorch/pytorch
2025-08-26T20:08:31.2214190Z  * [new branch]              160583                      -> origin/160583
2025-08-26T20:08:31.2214986Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-26T20:08:31.2215533Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-26T20:08:31.2216122Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-26T20:08:31.2216735Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-26T20:08:31.2217305Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-08-26T20:08:31.2217912Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-26T20:08:31.2218467Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-26T20:08:31.2218888Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-26T20:08:31.2219292Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-26T20:08:31.2220038Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-26T20:08:31.2220421Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-26T20:08:31.2220818Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-26T20:08:31.2221184Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-08-26T20:08:31.2221593Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-26T20:08:31.2222052Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-26T20:08:31.2222429Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-26T20:08:31.2222830Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-08-26T20:08:31.2223801Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-26T20:08:31.2224481Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-26T20:08:31.2225293Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-26T20:08:31.2226041Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-26T20:08:31.2227920Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-26T20:08:31.2228288Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-26T20:08:31.2228783Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-26T20:08:31.2229291Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-26T20:08:31.2229888Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-26T20:08:31.2230845Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-26T20:08:31.2231667Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-26T20:08:31.2232338Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-26T20:08:31.2234606Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-26T20:08:31.2235282Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-26T20:08:31.2240462Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-26T20:08:31.2241117Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-26T20:08:31.2241696Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-26T20:08:31.2242233Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-26T20:08:31.2242742Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-26T20:08:31.2243120Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-26T20:08:31.2243765Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-26T20:08:31.2244361Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-26T20:08:31.2244771Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-26T20:08:31.2245183Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-26T20:08:31.2245577Z  * [new branch]              angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing
2025-08-26T20:08:31.2246062Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-26T20:08:31.2246432Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-26T20:08:31.2250030Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-26T20:08:31.2250542Z  * [new branch]              angelayi/opoverload         -> origin/angelayi/opoverload
2025-08-26T20:08:31.2250949Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-08-26T20:08:31.2251309Z  * [new branch]              angelayi/save_error         -> origin/angelayi/save_error
2025-08-26T20:08:31.2251698Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-08-26T20:08:31.2252127Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
2025-08-26T20:08:31.2252808Z  * [new branch]              angelayi/tensor_nn_module_meta -> origin/angelayi/tensor_nn_module_meta
2025-08-26T20:08:31.2253210Z  * [new branch]              angelayi/test_cpp           -> origin/angelayi/test_cpp
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2025-08-26T20:08:31.5998825Z  * [new tag]                 ciflow/binaries/160229      -> ciflow/binaries/160229
2025-08-26T20:08:31.5999130Z  * [new tag]                 ciflow/binaries/160853      -> ciflow/binaries/160853
2025-08-26T20:08:31.5999268Z  * [new tag]                 ciflow/binaries/161257      -> ciflow/binaries/161257
2025-08-26T20:08:31.5999441Z  * [new tag]                 ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049
2025-08-26T20:08:31.5999594Z  * [new tag]                 ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049
2025-08-26T20:08:31.5999752Z  * [new tag]                 ciflow/binaries_wheel/158733 -> ciflow/binaries_wheel/158733
2025-08-26T20:08:31.5999904Z  * [new tag]                 ciflow/binaries_wheel/160207 -> ciflow/binaries_wheel/160207
2025-08-26T20:08:31.6000062Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-08-26T20:08:31.6000202Z  * [new tag]                 ciflow/h100-symm-mem/155923 -> ciflow/h100-symm-mem/155923
2025-08-26T20:08:31.6000348Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-08-26T20:08:31.6000502Z  * [new tag]                 ciflow/h100-symm-mem/159562 -> ciflow/h100-symm-mem/159562
2025-08-26T20:08:31.6000639Z  * [new tag]                 ciflow/h100-symm-mem/159889 -> ciflow/h100-symm-mem/159889
2025-08-26T20:08:31.6000784Z  * [new tag]                 ciflow/h100-symm-mem/160825 -> ciflow/h100-symm-mem/160825
2025-08-26T20:08:31.6000920Z  * [new tag]                 ciflow/h100-symm-mem/161008 -> ciflow/h100-symm-mem/161008
2025-08-26T20:08:31.6001065Z  * [new tag]                 ciflow/h100-symm-mem/161090 -> ciflow/h100-symm-mem/161090
2025-08-26T20:08:31.6001248Z  * [new tag]                 ciflow/h100-symm-mem/161214 -> ciflow/h100-symm-mem/161214
2025-08-26T20:08:31.6001396Z  * [new tag]                 ciflow/h100-symm-mem/161217 -> ciflow/h100-symm-mem/161217
2025-08-26T20:08:31.6001534Z  * [new tag]                 ciflow/h100-symm-mem/161232 -> ciflow/h100-symm-mem/161232
2025-08-26T20:08:31.6001836Z  * [new tag]                 ciflow/h100-symm-mem/161257 -> ciflow/h100-symm-mem/161257
2025-08-26T20:08:31.6002529Z  * [new tag]                 ciflow/h100-symm-mem/161309 -> ciflow/h100-symm-mem/161309
2025-08-26T20:08:31.6002811Z  * [new tag]                 ciflow/h100-symm-mem/161470 -> ciflow/h100-symm-mem/161470
2025-08-26T20:08:31.6002956Z  * [new tag]                 ciflow/h100-symm-mem/161471 -> ciflow/h100-symm-mem/161471
2025-08-26T20:08:31.6003100Z  * [new tag]                 ciflow/h100-symm-mem/161532 -> ciflow/h100-symm-mem/161532
2025-08-26T20:08:31.6003243Z  * [new tag]                 ciflow/h100-symm-mem/161533 -> ciflow/h100-symm-mem/161533
2025-08-26T20:08:31.6006862Z  * [new tag]                 ciflow/h100/159158          -> ciflow/h100/159158
2025-08-26T20:08:31.6007100Z  * [new tag]                 ciflow/h100/161225          -> ciflow/h100/161225
2025-08-26T20:08:31.6007511Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-26T20:08:31.6007800Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-08-26T20:08:31.6007979Z  * [new tag]                 ciflow/inductor-periodic/158137 -> ciflow/inductor-periodic/158137
2025-08-26T20:08:31.6008165Z  * [new tag]                 ciflow/inductor-periodic/160807 -> ciflow/inductor-periodic/160807
2025-08-26T20:08:31.6008330Z  * [new tag]                 ciflow/inductor-periodic/161461 -> ciflow/inductor-periodic/161461
2025-08-26T20:08:31.6008500Z  * [new tag]                 ciflow/inductor-periodic/161536 -> ciflow/inductor-periodic/161536
2025-08-26T20:08:31.6008880Z  * [new tag]                 ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> ciflow/inductor-periodic/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:08:31.6009489Z  * [new tag]                 ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed -> ciflow/inductor-periodic/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:08:31.6010224Z  * [new tag]                 ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073 -> ciflow/inductor-periodic/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:08:31.6010528Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-26T20:08:31.6010701Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-26T20:08:31.6011367Z  * [new tag]                 ciflow/inductor-rocm/160671 -> ciflow/inductor-rocm/160671
2025-08-26T20:08:31.6011861Z  * [new tag]                 ciflow/inductor-rocm/161180 -> ciflow/inductor-rocm/161180
2025-08-26T20:08:31.6012576Z  * [new tag]                 ciflow/inductor-rocm/161225 -> ciflow/inductor-rocm/161225
2025-08-26T20:08:31.6013338Z  * [new tag]                 ciflow/inductor-rocm/161521 -> ciflow/inductor-rocm/161521
2025-08-26T20:08:31.6014036Z  * [new tag]                 ciflow/inductor-windows/160406 -> ciflow/inductor-windows/160406
2025-08-26T20:08:31.6014381Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-26T20:08:31.6014843Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-26T20:08:31.6015315Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-26T20:08:31.6015767Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-26T20:08:31.6016253Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-26T20:08:31.6017043Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-26T20:08:31.6017196Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-26T20:08:31.6017773Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-26T20:08:31.6018134Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-26T20:08:31.6020299Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-26T20:08:31.6020585Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-26T20:08:31.6020837Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-26T20:08:31.6020989Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-26T20:08:31.6021153Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-26T20:08:31.6025410Z  * [new tag]                 ciflow/inductor/156875      -> ciflow/inductor/156875
2025-08-26T20:08:31.6025680Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-26T20:08:31.6025844Z  * [new tag]                 ciflow/inductor/157298      -> ciflow/inductor/157298
2025-08-26T20:08:31.6026056Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-26T20:08:31.6026217Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-26T20:08:31.6026854Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-26T20:08:31.6029125Z  * [new tag]                 ciflow/inductor/157767      -> ciflow/inductor/157767
2025-08-26T20:08:31.6029367Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-26T20:08:31.6029514Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-26T20:08:31.6029654Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-26T20:08:31.6029791Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-26T20:08:31.6029928Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-26T20:08:31.6030056Z  * [new tag]                 ciflow/inductor/158137      -> ciflow/inductor/158137
2025-08-26T20:08:31.6030192Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-26T20:08:31.6030475Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-26T20:08:31.6032689Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-26T20:08:31.6033308Z  * [new tag]                 ciflow/inductor/159003      -> ciflow/inductor/159003
2025-08-26T20:08:31.6033489Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-26T20:08:31.6033629Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-26T20:08:31.6033784Z  * [new tag]                 ciflow/inductor/159387      -> ciflow/inductor/159387
2025-08-26T20:08:31.6033924Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-26T20:08:31.6034056Z  * [new tag]                 ciflow/inductor/159664      -> ciflow/inductor/159664
2025-08-26T20:08:31.6037055Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-26T20:08:31.6037257Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-26T20:08:31.6037920Z  * [new tag]                 ciflow/inductor/159835      -> ciflow/inductor/159835
2025-08-26T20:08:31.6038266Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-26T20:08:31.6038417Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-26T20:08:31.6038559Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-26T20:08:31.6038855Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-26T20:08:31.6038995Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-26T20:08:31.6039130Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-26T20:08:31.6039274Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-26T20:08:31.6039440Z  * [new tag]                 ciflow/inductor/160180      -> ciflow/inductor/160180
2025-08-26T20:08:31.6040704Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-26T20:08:31.6041445Z  * [new tag]                 ciflow/inductor/160258      -> ciflow/inductor/160258
2025-08-26T20:08:31.6041783Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-26T20:08:31.6041938Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-26T20:08:31.6044049Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-26T20:08:31.6044332Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-26T20:08:31.6044590Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-26T20:08:31.6044741Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-26T20:08:31.6044930Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-26T20:08:31.6045365Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-26T20:08:31.6046762Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-26T20:08:31.6046932Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-26T20:08:31.6047170Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-26T20:08:31.6047812Z  * [new tag]                 ciflow/inductor/160449      -> ciflow/inductor/160449
2025-08-26T20:08:31.6049174Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-26T20:08:31.6049429Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-26T20:08:31.6049577Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-26T20:08:31.6049863Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-26T20:08:31.6050022Z  * [new tag]                 ciflow/inductor/160532      -> ciflow/inductor/160532
2025-08-26T20:08:31.6051622Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-26T20:08:31.6052271Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-26T20:08:31.6052589Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-26T20:08:31.6053043Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-26T20:08:31.6058022Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-26T20:08:31.6058347Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-26T20:08:31.6058521Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-26T20:08:31.6058681Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-26T20:08:31.6058812Z  * [new tag]                 ciflow/inductor/160690      -> ciflow/inductor/160690
2025-08-26T20:08:31.6059111Z  * [new tag]                 ciflow/inductor/160763      -> ciflow/inductor/160763
2025-08-26T20:08:31.6059289Z  * [new tag]                 ciflow/inductor/160772      -> ciflow/inductor/160772
2025-08-26T20:08:31.6061565Z  * [new tag]                 ciflow/inductor/160798      -> ciflow/inductor/160798
2025-08-26T20:08:31.6061887Z  * [new tag]                 ciflow/inductor/160807      -> ciflow/inductor/160807
2025-08-26T20:08:31.6062135Z  * [new tag]                 ciflow/inductor/160836      -> ciflow/inductor/160836
2025-08-26T20:08:31.6062286Z  * [new tag]                 ciflow/inductor/160861      -> ciflow/inductor/160861
2025-08-26T20:08:31.6062414Z  * [new tag]                 ciflow/inductor/160883      -> ciflow/inductor/160883
2025-08-26T20:08:31.6062552Z  * [new tag]                 ciflow/inductor/160888      -> ciflow/inductor/160888
2025-08-26T20:08:31.6062676Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-08-26T20:08:31.6062983Z  * [new tag]                 ciflow/inductor/160913      -> ciflow/inductor/160913
2025-08-26T20:08:31.6063704Z  * [new tag]                 ciflow/inductor/160941      -> ciflow/inductor/160941
2025-08-26T20:08:31.6068186Z  * [new tag]                 ciflow/inductor/160943      -> ciflow/inductor/160943
2025-08-26T20:08:31.6068355Z  * [new tag]                 ciflow/inductor/160991      -> ciflow/inductor/160991
2025-08-26T20:08:31.6068856Z  * [new tag]                 ciflow/inductor/160997      -> ciflow/inductor/160997
2025-08-26T20:08:31.6069016Z  * [new tag]                 ciflow/inductor/161003      -> ciflow/inductor/161003
2025-08-26T20:08:31.6069161Z  * [new tag]                 ciflow/inductor/161026      -> ciflow/inductor/161026
2025-08-26T20:08:31.6069295Z  * [new tag]                 ciflow/inductor/161032      -> ciflow/inductor/161032
2025-08-26T20:08:31.6069458Z  * [new tag]                 ciflow/inductor/161040      -> ciflow/inductor/161040
2025-08-26T20:08:31.6069591Z  * [new tag]                 ciflow/inductor/161055      -> ciflow/inductor/161055
2025-08-26T20:08:31.6069722Z  * [new tag]                 ciflow/inductor/161062      -> ciflow/inductor/161062
2025-08-26T20:08:31.6069861Z  * [new tag]                 ciflow/inductor/161069      -> ciflow/inductor/161069
2025-08-26T20:08:31.6069990Z  * [new tag]                 ciflow/inductor/161092      -> ciflow/inductor/161092
2025-08-26T20:08:31.6070130Z  * [new tag]                 ciflow/inductor/161093      -> ciflow/inductor/161093
2025-08-26T20:08:31.6070261Z  * [new tag]                 ciflow/inductor/161097      -> ciflow/inductor/161097
2025-08-26T20:08:31.6070389Z  * [new tag]                 ciflow/inductor/161098      -> ciflow/inductor/161098
2025-08-26T20:08:31.6070527Z  * [new tag]                 ciflow/inductor/161100      -> ciflow/inductor/161100
2025-08-26T20:08:31.6070804Z  * [new tag]                 ciflow/inductor/161107      -> ciflow/inductor/161107
2025-08-26T20:08:31.6070949Z  * [new tag]                 ciflow/inductor/161110      -> ciflow/inductor/161110
2025-08-26T20:08:31.6071082Z  * [new tag]                 ciflow/inductor/161117      -> ciflow/inductor/161117
2025-08-26T20:08:31.6071219Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-08-26T20:08:31.6071513Z  * [new tag]                 ciflow/inductor/161123      -> ciflow/inductor/161123
2025-08-26T20:08:31.6071658Z  * [new tag]                 ciflow/inductor/161124      -> ciflow/inductor/161124
2025-08-26T20:08:31.6075490Z  * [new tag]                 ciflow/inductor/161125      -> ciflow/inductor/161125
2025-08-26T20:08:31.6075642Z  * [new tag]                 ciflow/inductor/161126      -> ciflow/inductor/161126
2025-08-26T20:08:31.6075781Z  * [new tag]                 ciflow/inductor/161144      -> ciflow/inductor/161144
2025-08-26T20:08:31.6076032Z  * [new tag]                 ciflow/inductor/161148      -> ciflow/inductor/161148
2025-08-26T20:08:31.6076483Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-08-26T20:08:31.6077061Z  * [new tag]                 ciflow/inductor/161178      -> ciflow/inductor/161178
2025-08-26T20:08:31.6077243Z  * [new tag]                 ciflow/inductor/161190      -> ciflow/inductor/161190
2025-08-26T20:08:31.6077385Z  * [new tag]                 ciflow/inductor/161208      -> ciflow/inductor/161208
2025-08-26T20:08:31.6077680Z  * [new tag]                 ciflow/inductor/161225      -> ciflow/inductor/161225
2025-08-26T20:08:31.6088837Z  * [new tag]                 ciflow/inductor/161229      -> ciflow/inductor/161229
2025-08-26T20:08:31.6089464Z  * [new tag]                 ciflow/inductor/161237      -> ciflow/inductor/161237
2025-08-26T20:08:31.6089634Z  * [new tag]                 ciflow/inductor/161241      -> ciflow/inductor/161241
2025-08-26T20:08:31.6089787Z  * [new tag]                 ciflow/inductor/161246      -> ciflow/inductor/161246
2025-08-26T20:08:31.6090080Z  * [new tag]                 ciflow/inductor/161274      -> ciflow/inductor/161274
2025-08-26T20:08:31.6097102Z  * [new tag]                 ciflow/inductor/161278      -> ciflow/inductor/161278
2025-08-26T20:08:31.6097344Z  * [new tag]                 ciflow/inductor/161279      -> ciflow/inductor/161279
2025-08-26T20:08:31.6097548Z  * [new tag]                 ciflow/inductor/161288      -> ciflow/inductor/161288
2025-08-26T20:08:31.6097838Z  * [new tag]                 ciflow/inductor/161314      -> ciflow/inductor/161314
2025-08-26T20:08:31.6097999Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-08-26T20:08:31.6098215Z  * [new tag]                 ciflow/inductor/161336      -> ciflow/inductor/161336
2025-08-26T20:08:31.6098393Z  * [new tag]                 ciflow/inductor/161337      -> ciflow/inductor/161337
2025-08-26T20:08:31.6098522Z  * [new tag]                 ciflow/inductor/161338      -> ciflow/inductor/161338
2025-08-26T20:08:31.6098651Z  * [new tag]                 ciflow/inductor/161339      -> ciflow/inductor/161339
2025-08-26T20:08:31.6098776Z  * [new tag]                 ciflow/inductor/161340      -> ciflow/inductor/161340
2025-08-26T20:08:31.6098907Z  * [new tag]                 ciflow/inductor/161341      -> ciflow/inductor/161341
2025-08-26T20:08:31.6099051Z  * [new tag]                 ciflow/inductor/161342      -> ciflow/inductor/161342
2025-08-26T20:08:31.6099210Z  * [new tag]                 ciflow/inductor/161343      -> ciflow/inductor/161343
2025-08-26T20:08:31.6099349Z  * [new tag]                 ciflow/inductor/161344      -> ciflow/inductor/161344
2025-08-26T20:08:31.6099479Z  * [new tag]                 ciflow/inductor/161345      -> ciflow/inductor/161345
2025-08-26T20:08:31.6099627Z  * [new tag]                 ciflow/inductor/161346      -> ciflow/inductor/161346
2025-08-26T20:08:31.6099896Z  * [new tag]                 ciflow/inductor/161347      -> ciflow/inductor/161347
2025-08-26T20:08:31.6100025Z  * [new tag]                 ciflow/inductor/161348      -> ciflow/inductor/161348
2025-08-26T20:08:31.6100163Z  * [new tag]                 ciflow/inductor/161349      -> ciflow/inductor/161349
2025-08-26T20:08:31.6100292Z  * [new tag]                 ciflow/inductor/161350      -> ciflow/inductor/161350
2025-08-26T20:08:31.6100429Z  * [new tag]                 ciflow/inductor/161351      -> ciflow/inductor/161351
2025-08-26T20:08:31.6100577Z  * [new tag]                 ciflow/inductor/161353      -> ciflow/inductor/161353
2025-08-26T20:08:31.6100718Z  * [new tag]                 ciflow/inductor/161354      -> ciflow/inductor/161354
2025-08-26T20:08:31.6101087Z  * [new tag]                 ciflow/inductor/161355      -> ciflow/inductor/161355
2025-08-26T20:08:31.6102549Z  * [new tag]                 ciflow/inductor/161362      -> ciflow/inductor/161362
2025-08-26T20:08:31.6102732Z  * [new tag]                 ciflow/inductor/161363      -> ciflow/inductor/161363
2025-08-26T20:08:31.6102875Z  * [new tag]                 ciflow/inductor/161382      -> ciflow/inductor/161382
2025-08-26T20:08:31.6103044Z  * [new tag]                 ciflow/inductor/161383      -> ciflow/inductor/161383
2025-08-26T20:08:31.6103590Z  * [new tag]                 ciflow/inductor/161385      -> ciflow/inductor/161385
2025-08-26T20:08:31.6104099Z  * [new tag]                 ciflow/inductor/161396      -> ciflow/inductor/161396
2025-08-26T20:08:31.6104665Z  * [new tag]                 ciflow/inductor/161397      -> ciflow/inductor/161397
2025-08-26T20:08:31.6105971Z  * [new tag]                 ciflow/inductor/161404      -> ciflow/inductor/161404
2025-08-26T20:08:31.6106151Z  * [new tag]                 ciflow/inductor/161405      -> ciflow/inductor/161405
2025-08-26T20:08:31.6106475Z  * [new tag]                 ciflow/inductor/161406      -> ciflow/inductor/161406
2025-08-26T20:08:31.6107826Z  * [new tag]                 ciflow/inductor/161409      -> ciflow/inductor/161409
2025-08-26T20:08:31.6107982Z  * [new tag]                 ciflow/inductor/161410      -> ciflow/inductor/161410
2025-08-26T20:08:31.6111250Z  * [new tag]                 ciflow/inductor/161414      -> ciflow/inductor/161414
2025-08-26T20:08:31.6111421Z  * [new tag]                 ciflow/inductor/161416      -> ciflow/inductor/161416
2025-08-26T20:08:31.6111581Z  * [new tag]                 ciflow/inductor/161420      -> ciflow/inductor/161420
2025-08-26T20:08:31.6111721Z  * [new tag]                 ciflow/inductor/161431      -> ciflow/inductor/161431
2025-08-26T20:08:31.6111882Z  * [new tag]                 ciflow/inductor/161435      -> ciflow/inductor/161435
2025-08-26T20:08:31.6112014Z  * [new tag]                 ciflow/inductor/161440      -> ciflow/inductor/161440
2025-08-26T20:08:31.6112145Z  * [new tag]                 ciflow/inductor/161447      -> ciflow/inductor/161447
2025-08-26T20:08:31.6112758Z  * [new tag]                 ciflow/inductor/161452      -> ciflow/inductor/161452
2025-08-26T20:08:31.6112936Z  * [new tag]                 ciflow/inductor/161453      -> ciflow/inductor/161453
2025-08-26T20:08:31.6113212Z  * [new tag]                 ciflow/inductor/161458      -> ciflow/inductor/161458
2025-08-26T20:08:31.6113739Z  * [new tag]                 ciflow/inductor/161461      -> ciflow/inductor/161461
2025-08-26T20:08:31.6114143Z  * [new tag]                 ciflow/inductor/161464      -> ciflow/inductor/161464
2025-08-26T20:08:31.6114708Z  * [new tag]                 ciflow/inductor/161466      -> ciflow/inductor/161466
2025-08-26T20:08:31.6115067Z  * [new tag]                 ciflow/inductor/161468      -> ciflow/inductor/161468
2025-08-26T20:08:31.6115648Z  * [new tag]                 ciflow/inductor/161469      -> ciflow/inductor/161469
2025-08-26T20:08:31.6116103Z  * [new tag]                 ciflow/inductor/161474      -> ciflow/inductor/161474
2025-08-26T20:08:31.6116565Z  * [new tag]                 ciflow/inductor/161477      -> ciflow/inductor/161477
2025-08-26T20:08:31.6118725Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-08-26T20:08:31.6118893Z  * [new tag]                 ciflow/inductor/161486      -> ciflow/inductor/161486
2025-08-26T20:08:31.6119039Z  * [new tag]                 ciflow/inductor/161487      -> ciflow/inductor/161487
2025-08-26T20:08:31.6119173Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-08-26T20:08:31.6119796Z  * [new tag]                 ciflow/inductor/161497      -> ciflow/inductor/161497
2025-08-26T20:08:31.6120389Z  * [new tag]                 ciflow/inductor/161499      -> ciflow/inductor/161499
2025-08-26T20:08:31.6120563Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-08-26T20:08:31.6120910Z  * [new tag]                 ciflow/inductor/161521      -> ciflow/inductor/161521
2025-08-26T20:08:31.6121461Z  * [new tag]                 ciflow/inductor/161526      -> ciflow/inductor/161526
2025-08-26T20:08:31.6125146Z  * [new tag]                 ciflow/inductor/161530      -> ciflow/inductor/161530
2025-08-26T20:08:31.6125438Z  * [new tag]                 ciflow/inductor/161534      -> ciflow/inductor/161534
2025-08-26T20:08:31.6125623Z  * [new tag]                 ciflow/inductor/161536      -> ciflow/inductor/161536
2025-08-26T20:08:31.6125856Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-26T20:08:31.6126023Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-26T20:08:31.6126404Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-26T20:08:31.6126584Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-26T20:08:31.6130217Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-26T20:08:31.6130401Z  * [new tag]                 ciflow/linux-aarch64/160080 -> ciflow/linux-aarch64/160080
2025-08-26T20:08:31.6130547Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-26T20:08:31.6130680Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-26T20:08:31.6130802Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-26T20:08:31.6130919Z  * [new tag]                 ciflow/mps/160839           -> ciflow/mps/160839
2025-08-26T20:08:31.6131048Z  * [new tag]                 ciflow/mps/161511           -> ciflow/mps/161511
2025-08-26T20:08:31.6131199Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-26T20:08:31.6136031Z  * [new tag]                 ciflow/periodic-rocm-mi300/161180 -> ciflow/periodic-rocm-mi300/161180
2025-08-26T20:08:31.6140366Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-26T20:08:31.6144461Z  * [new tag]                 ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> ciflow/periodic/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:08:31.6148224Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-08-26T20:08:31.6150690Z  * [new tag]                 ciflow/periodic/161013      -> ciflow/periodic/161013
2025-08-26T20:08:31.6150991Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-26T20:08:31.6155556Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-26T20:08:31.6161933Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-26T20:08:31.6165839Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-26T20:08:31.6168274Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-26T20:08:31.6171784Z  * [new tag]                 ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> ciflow/periodic/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:08:31.6172153Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-26T20:08:31.6172328Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-26T20:08:31.6172691Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-26T20:08:31.6172863Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-26T20:08:31.6173049Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-26T20:08:31.6173238Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-26T20:08:31.6173391Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-26T20:08:31.6173524Z  * [new tag]                 ciflow/rocm-mi300/161040    -> ciflow/rocm-mi300/161040
2025-08-26T20:08:31.6173663Z  * [new tag]                 ciflow/rocm-mi300/161180    -> ciflow/rocm-mi300/161180
2025-08-26T20:08:31.6173795Z  * [new tag]                 ciflow/rocm-mi300/161225    -> ciflow/rocm-mi300/161225
2025-08-26T20:08:31.6173925Z  * [new tag]                 ciflow/rocm-mi300/161429    -> ciflow/rocm-mi300/161429
2025-08-26T20:08:31.6174063Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-26T20:08:31.6174189Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-26T20:08:31.6174319Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-26T20:08:31.6174514Z  * [new tag]                 ciflow/rocm/152526          -> ciflow/rocm/152526
2025-08-26T20:08:31.6174647Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-26T20:08:31.6174779Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-26T20:08:31.6174897Z  * [new tag]                 ciflow/rocm/158352          -> ciflow/rocm/158352
2025-08-26T20:08:31.6175024Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-26T20:08:31.6175140Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-26T20:08:31.6175264Z  * [new tag]                 ciflow/rocm/160671          -> ciflow/rocm/160671
2025-08-26T20:08:31.6175382Z  * [new tag]                 ciflow/rocm/160676          -> ciflow/rocm/160676
2025-08-26T20:08:31.6175499Z  * [new tag]                 ciflow/rocm/161180          -> ciflow/rocm/161180
2025-08-26T20:08:31.6175627Z  * [new tag]                 ciflow/rocm/161225          -> ciflow/rocm/161225
2025-08-26T20:08:31.6175749Z  * [new tag]                 ciflow/rocm/161277          -> ciflow/rocm/161277
2025-08-26T20:08:31.6175875Z  * [new tag]                 ciflow/rocm/161429          -> ciflow/rocm/161429
2025-08-26T20:08:31.6175991Z  * [new tag]                 ciflow/rocm/161496          -> ciflow/rocm/161496
2025-08-26T20:08:31.6176118Z  * [new tag]                 ciflow/s390/160893          -> ciflow/s390/160893
2025-08-26T20:08:31.6176254Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-26T20:08:31.6176394Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-26T20:08:31.6176743Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-26T20:08:31.6176867Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-26T20:08:31.6176998Z  * [new tag]                 ciflow/slow/161182          -> ciflow/slow/161182
2025-08-26T20:08:31.6177116Z  * [new tag]                 ciflow/slow/161395          -> ciflow/slow/161395
2025-08-26T20:08:31.6177243Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-26T20:08:31.6177364Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-26T20:08:31.6177528Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-26T20:08:31.6177686Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-26T20:08:31.6177809Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-26T20:08:31.6177935Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-26T20:08:31.6178056Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-26T20:08:31.6178176Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-26T20:08:31.6178494Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-26T20:08:31.6178616Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-26T20:08:31.6178746Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-26T20:08:31.6178870Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-26T20:08:31.6178996Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-26T20:08:31.6179116Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-26T20:08:31.6179437Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-26T20:08:31.6179588Z  * [new tag]                 ciflow/torchbench/158137    -> ciflow/torchbench/158137
2025-08-26T20:08:31.6179765Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-26T20:08:31.6179895Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-26T20:08:31.6180014Z  * [new tag]                 ciflow/trunk/153784         -> ciflow/trunk/153784
2025-08-26T20:08:31.6180140Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-26T20:08:31.6180261Z  * [new tag]                 ciflow/trunk/154864         -> ciflow/trunk/154864
2025-08-26T20:08:31.6180380Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-08-26T20:08:31.6180505Z  * [new tag]                 ciflow/trunk/157196         -> ciflow/trunk/157196
2025-08-26T20:08:31.6180625Z  * [new tag]                 ciflow/trunk/157537         -> ciflow/trunk/157537
2025-08-26T20:08:31.6180750Z  * [new tag]                 ciflow/trunk/157767         -> ciflow/trunk/157767
2025-08-26T20:08:31.6180873Z  * [new tag]                 ciflow/trunk/157944         -> ciflow/trunk/157944
2025-08-26T20:08:31.6180999Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-26T20:08:31.6181125Z  * [new tag]                 ciflow/trunk/158541         -> ciflow/trunk/158541
2025-08-26T20:08:31.6181243Z  * [new tag]                 ciflow/trunk/158733         -> ciflow/trunk/158733
2025-08-26T20:08:31.6181374Z  * [new tag]                 ciflow/trunk/158747         -> ciflow/trunk/158747
2025-08-26T20:08:31.6181493Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-26T20:08:31.6181619Z  * [new tag]                 ciflow/trunk/159387         -> ciflow/trunk/159387
2025-08-26T20:08:31.6181738Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-26T20:08:31.6181857Z  * [new tag]                 ciflow/trunk/159786         -> ciflow/trunk/159786
2025-08-26T20:08:31.6181987Z  * [new tag]                 ciflow/trunk/159835         -> ciflow/trunk/159835
2025-08-26T20:08:31.6182110Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-26T20:08:31.6182237Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-26T20:08:31.6182364Z  * [new tag]                 ciflow/trunk/160156         -> ciflow/trunk/160156
2025-08-26T20:08:31.6182483Z  * [new tag]                 ciflow/trunk/160180         -> ciflow/trunk/160180
2025-08-26T20:08:31.6182649Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-26T20:08:31.6182766Z  * [new tag]                 ciflow/trunk/160258         -> ciflow/trunk/160258
2025-08-26T20:08:31.6182943Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-26T20:08:31.6183062Z  * [new tag]                 ciflow/trunk/160448         -> ciflow/trunk/160448
2025-08-26T20:08:31.6183186Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-26T20:08:31.6183309Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-26T20:08:31.6183433Z  * [new tag]                 ciflow/trunk/160532         -> ciflow/trunk/160532
2025-08-26T20:08:31.6183561Z  * [new tag]                 ciflow/trunk/160671         -> ciflow/trunk/160671
2025-08-26T20:08:31.6186150Z  * [new tag]                 ciflow/trunk/160677         -> ciflow/trunk/160677
2025-08-26T20:08:31.6186800Z  * [new tag]                 ciflow/trunk/160692         -> ciflow/trunk/160692
2025-08-26T20:08:31.6186959Z  * [new tag]                 ciflow/trunk/160781         -> ciflow/trunk/160781
2025-08-26T20:08:31.6187293Z  * [new tag]                 ciflow/trunk/160825         -> ciflow/trunk/160825
2025-08-26T20:08:31.6187424Z  * [new tag]                 ciflow/trunk/160836         -> ciflow/trunk/160836
2025-08-26T20:08:31.6187550Z  * [new tag]                 ciflow/trunk/160866         -> ciflow/trunk/160866
2025-08-26T20:08:31.6187711Z  * [new tag]                 ciflow/trunk/160915         -> ciflow/trunk/160915
2025-08-26T20:08:31.6187833Z  * [new tag]                 ciflow/trunk/160991         -> ciflow/trunk/160991
2025-08-26T20:08:31.6190643Z  * [new tag]                 ciflow/trunk/160992         -> ciflow/trunk/160992
2025-08-26T20:08:31.6194221Z  * [new tag]                 ciflow/trunk/161004         -> ciflow/trunk/161004
2025-08-26T20:08:31.6194391Z  * [new tag]                 ciflow/trunk/161016         -> ciflow/trunk/161016
2025-08-26T20:08:31.6194535Z  * [new tag]                 ciflow/trunk/161023         -> ciflow/trunk/161023
2025-08-26T20:08:31.6194677Z  * [new tag]                 ciflow/trunk/161026         -> ciflow/trunk/161026
2025-08-26T20:08:31.6194799Z  * [new tag]                 ciflow/trunk/161032         -> ciflow/trunk/161032
2025-08-26T20:08:31.6194926Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-08-26T20:08:31.6195046Z  * [new tag]                 ciflow/trunk/161040         -> ciflow/trunk/161040
2025-08-26T20:08:31.6195169Z  * [new tag]                 ciflow/trunk/161094         -> ciflow/trunk/161094
2025-08-26T20:08:31.6195299Z  * [new tag]                 ciflow/trunk/161097         -> ciflow/trunk/161097
2025-08-26T20:08:31.6195425Z  * [new tag]                 ciflow/trunk/161098         -> ciflow/trunk/161098
2025-08-26T20:08:31.6195552Z  * [new tag]                 ciflow/trunk/161100         -> ciflow/trunk/161100
2025-08-26T20:08:31.6195673Z  * [new tag]                 ciflow/trunk/161106         -> ciflow/trunk/161106
2025-08-26T20:08:31.6195801Z  * [new tag]                 ciflow/trunk/161110         -> ciflow/trunk/161110
2025-08-26T20:08:31.6195920Z  * [new tag]                 ciflow/trunk/161114         -> ciflow/trunk/161114
2025-08-26T20:08:31.6196039Z  * [new tag]                 ciflow/trunk/161117         -> ciflow/trunk/161117
2025-08-26T20:08:31.6196167Z  * [new tag]                 ciflow/trunk/161123         -> ciflow/trunk/161123
2025-08-26T20:08:31.6196288Z  * [new tag]                 ciflow/trunk/161124         -> ciflow/trunk/161124
2025-08-26T20:08:31.6199607Z  * [new tag]                 ciflow/trunk/161126         -> ciflow/trunk/161126
2025-08-26T20:08:31.6199752Z  * [new tag]                 ciflow/trunk/161131         -> ciflow/trunk/161131
2025-08-26T20:08:31.6200320Z  * [new tag]                 ciflow/trunk/161143         -> ciflow/trunk/161143
2025-08-26T20:08:31.6200644Z  * [new tag]                 ciflow/trunk/161144         -> ciflow/trunk/161144
2025-08-26T20:08:31.6200773Z  * [new tag]                 ciflow/trunk/161164         -> ciflow/trunk/161164
2025-08-26T20:08:31.6200896Z  * [new tag]                 ciflow/trunk/161180         -> ciflow/trunk/161180
2025-08-26T20:08:31.6201030Z  * [new tag]                 ciflow/trunk/161214         -> ciflow/trunk/161214
2025-08-26T20:08:31.6201170Z  * [new tag]                 ciflow/trunk/161217         -> ciflow/trunk/161217
2025-08-26T20:08:31.6201605Z  * [new tag]                 ciflow/trunk/161225         -> ciflow/trunk/161225
2025-08-26T20:08:31.6201830Z  * [new tag]                 ciflow/trunk/161236         -> ciflow/trunk/161236
2025-08-26T20:08:31.6201952Z  * [new tag]                 ciflow/trunk/161237         -> ciflow/trunk/161237
2025-08-26T20:08:31.6202082Z  * [new tag]                 ciflow/trunk/161241         -> ciflow/trunk/161241
2025-08-26T20:08:31.6202210Z  * [new tag]                 ciflow/trunk/161262         -> ciflow/trunk/161262
2025-08-26T20:08:31.6202340Z  * [new tag]                 ciflow/trunk/161263         -> ciflow/trunk/161263
2025-08-26T20:08:31.6202669Z  * [new tag]                 ciflow/trunk/161279         -> ciflow/trunk/161279
2025-08-26T20:08:31.6202943Z  * [new tag]                 ciflow/trunk/161306         -> ciflow/trunk/161306
2025-08-26T20:08:31.6205692Z  * [new tag]                 ciflow/trunk/161311         -> ciflow/trunk/161311
2025-08-26T20:08:31.6205929Z  * [new tag]                 ciflow/trunk/161354         -> ciflow/trunk/161354
2025-08-26T20:08:31.6206118Z  * [new tag]                 ciflow/trunk/161355         -> ciflow/trunk/161355
2025-08-26T20:08:31.6206239Z  * [new tag]                 ciflow/trunk/161362         -> ciflow/trunk/161362
2025-08-26T20:08:31.6206358Z  * [new tag]                 ciflow/trunk/161363         -> ciflow/trunk/161363
2025-08-26T20:08:31.6206627Z  * [new tag]                 ciflow/trunk/161370         -> ciflow/trunk/161370
2025-08-26T20:08:31.6206766Z  * [new tag]                 ciflow/trunk/161383         -> ciflow/trunk/161383
2025-08-26T20:08:31.6206893Z  * [new tag]                 ciflow/trunk/161385         -> ciflow/trunk/161385
2025-08-26T20:08:31.6207029Z  * [new tag]                 ciflow/trunk/161389         -> ciflow/trunk/161389
2025-08-26T20:08:31.6207289Z  * [new tag]                 ciflow/trunk/161392         -> ciflow/trunk/161392
2025-08-26T20:08:31.6208804Z  * [new tag]                 ciflow/trunk/161395         -> ciflow/trunk/161395
2025-08-26T20:08:31.6208969Z  * [new tag]                 ciflow/trunk/161396         -> ciflow/trunk/161396
2025-08-26T20:08:31.6209103Z  * [new tag]                 ciflow/trunk/161409         -> ciflow/trunk/161409
2025-08-26T20:08:31.6210131Z  * [new tag]                 ciflow/trunk/161410         -> ciflow/trunk/161410
2025-08-26T20:08:31.6210407Z  * [new tag]                 ciflow/trunk/161435         -> ciflow/trunk/161435
2025-08-26T20:08:31.6210918Z  * [new tag]                 ciflow/trunk/161437         -> ciflow/trunk/161437
2025-08-26T20:08:31.6212189Z  * [new tag]                 ciflow/trunk/161451         -> ciflow/trunk/161451
2025-08-26T20:08:31.6212516Z  * [new tag]                 ciflow/trunk/161453         -> ciflow/trunk/161453
2025-08-26T20:08:31.6213883Z  * [new tag]                 ciflow/trunk/161454         -> ciflow/trunk/161454
2025-08-26T20:08:31.6214081Z  * [new tag]                 ciflow/trunk/161489         -> ciflow/trunk/161489
2025-08-26T20:08:31.6214217Z  * [new tag]                 ciflow/trunk/161517         -> ciflow/trunk/161517
2025-08-26T20:08:31.6216617Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-26T20:08:31.6216813Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-26T20:08:31.6216950Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-26T20:08:31.6217089Z  * [new tag]                 ciflow/win-arm64/160258     -> ciflow/win-arm64/160258
2025-08-26T20:08:31.6217698Z  * [new tag]                 ciflow/win-arm64/161504     -> ciflow/win-arm64/161504
2025-08-26T20:08:31.6218161Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-26T20:08:31.6218621Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-26T20:08:31.6219326Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-26T20:08:31.6220002Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-26T20:08:31.6220724Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-26T20:08:31.6220860Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-26T20:08:31.6221381Z  * [new tag]                 ciflow/xpu/160940           -> ciflow/xpu/160940
2025-08-26T20:08:31.6221559Z  * [new tag]                 ciflow/xpu/161041           -> ciflow/xpu/161041
2025-08-26T20:08:31.6225704Z  * [new tag]                 ciflow/xpu/161045           -> ciflow/xpu/161045
2025-08-26T20:08:31.6226018Z  * [new tag]                 ciflow/xpu/161142           -> ciflow/xpu/161142
2025-08-26T20:08:31.6226154Z  * [new tag]                 ciflow/xpu/161152           -> ciflow/xpu/161152
2025-08-26T20:08:31.6226284Z  * [new tag]                 ciflow/xpu/161246           -> ciflow/xpu/161246
2025-08-26T20:08:31.6226411Z  * [new tag]                 ciflow/xpu/161389           -> ciflow/xpu/161389
2025-08-26T20:08:31.6226530Z  * [new tag]                 ciflow/xpu/161392           -> ciflow/xpu/161392
2025-08-26T20:08:31.6226873Z  * [new tag]                 ciflow/xpu/161397           -> ciflow/xpu/161397
2025-08-26T20:08:31.6227007Z  * [new tag]                 ciflow/xpu/161477           -> ciflow/xpu/161477
2025-08-26T20:08:31.6227276Z  * [new tag]                 ciflow/xpu/161489           -> ciflow/xpu/161489
2025-08-26T20:08:31.6227527Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-26T20:08:31.6231534Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-26T20:08:31.6231784Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-26T20:08:31.6231995Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-26T20:08:31.6232151Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-26T20:08:31.6232326Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-26T20:08:31.6232435Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-26T20:08:31.6232705Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-26T20:08:31.6233365Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-26T20:08:31.6233673Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-26T20:08:31.6233812Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-26T20:08:31.6234216Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-26T20:08:31.6235177Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-26T20:08:31.6235313Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-26T20:08:31.6237603Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-26T20:08:31.6237773Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-26T20:08:31.6237968Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-26T20:08:31.6238121Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-26T20:08:31.6238596Z  * [new tag]                 flight_5                    -> flight_5
2025-08-26T20:08:31.6240003Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-26T20:08:31.6240297Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-26T20:08:31.6240555Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-26T20:08:31.6241201Z  * [new tag]                 forpull1                    -> forpull1
2025-08-26T20:08:31.6242593Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-26T20:08:31.6242750Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-26T20:08:31.6243218Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-26T20:08:31.6245281Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-26T20:08:31.6245476Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-26T20:08:31.6245618Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-26T20:08:31.6246064Z  * [new tag]                 trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1 -> trunk/00efeabc295e072fb9d6e68b008a31fb04201fd1
2025-08-26T20:08:31.6246666Z  * [new tag]                 trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf -> trunk/037c43d3b24d4db733011cb904c385eaa6e11bcf
2025-08-26T20:08:31.6247942Z  * [new tag]                 trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff -> trunk/0533ff2ccba7e77622ac3c6758f1032bdc10feff
2025-08-26T20:08:31.6248227Z  * [new tag]                 trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2 -> trunk/05e8fac4f374c4dbf0cd0e85e925e9112cf234a2
2025-08-26T20:08:31.6249300Z  * [new tag]                 trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8 -> trunk/089ad1d88bf31ddab769a4f87750b474ed1214c8
2025-08-26T20:08:31.6249778Z  * [new tag]                 trunk/0924304e728b9507a54eced28c812fbd5b13c397 -> trunk/0924304e728b9507a54eced28c812fbd5b13c397
2025-08-26T20:08:31.6250331Z  * [new tag]                 trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89 -> trunk/0a5ab612dd2b9fc5bb2e1281ec7ca8730c5c3c89
2025-08-26T20:08:31.6250863Z  * [new tag]                 trunk/0d19541284c38212235f78db24e3ac3ae4787e45 -> trunk/0d19541284c38212235f78db24e3ac3ae4787e45
2025-08-26T20:08:31.6251459Z  * [new tag]                 trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863 -> trunk/0d9da384ef76e3ce2e7eaf951252ae9edb922863
2025-08-26T20:08:31.6251964Z  * [new tag]                 trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756 -> trunk/0dea191ff7b844352dc2cd5e3b5ef5ea13a76756
2025-08-26T20:08:31.6252731Z  * [new tag]                 trunk/0f801a510f5f185543388717241adb7237c3d46a -> trunk/0f801a510f5f185543388717241adb7237c3d46a
2025-08-26T20:08:31.6253255Z  * [new tag]                 trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0 -> trunk/10e67f5ec3834da93fc2022caa7ac69cf97c01f0
2025-08-26T20:08:31.6253944Z  * [new tag]                 trunk/1113e7de30da95973c1eac7921601f9a0e94f2db -> trunk/1113e7de30da95973c1eac7921601f9a0e94f2db
2025-08-26T20:08:31.6254501Z  * [new tag]                 trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb -> trunk/117f11adb4b41a5485b570c4337c22ecc8e00aeb
2025-08-26T20:08:31.6255286Z  * [new tag]                 trunk/1471b20cb3fc502931ef12b1420414e32facd5b0 -> trunk/1471b20cb3fc502931ef12b1420414e32facd5b0
2025-08-26T20:08:31.6256777Z  * [new tag]                 trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053 -> trunk/16e811e0b5073c7b42fe76f650ca2b79e339e053
2025-08-26T20:08:31.6257060Z  * [new tag]                 trunk/17b0263e86aec8aed068bb8b6744b129233e8084 -> trunk/17b0263e86aec8aed068bb8b6744b129233e8084
2025-08-26T20:08:31.6257304Z  * [new tag]                 trunk/18271148d32da3d48897e9e7515de45066fce5bc -> trunk/18271148d32da3d48897e9e7515de45066fce5bc
2025-08-26T20:08:31.6257900Z  * [new tag]                 trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4 -> trunk/19c70c2f3dc345a6555318f5f8b46cd55c42d0b4
2025-08-26T20:08:31.6258436Z  * [new tag]                 trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712 -> trunk/1a566c4909ccf16ace1fbf1f65d90c995b362712
2025-08-26T20:08:31.6258907Z  * [new tag]                 trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8 -> trunk/1d458e294755ff2bfa314c67ddc5cb1dacc2aee8
2025-08-26T20:08:31.6259645Z  * [new tag]                 trunk/1d46aa736fc8870dc88015c729a8c64470fa985c -> trunk/1d46aa736fc8870dc88015c729a8c64470fa985c
2025-08-26T20:08:31.6260206Z  * [new tag]                 trunk/1de4540449ad6b9df8f452ab72da30ce8908af60 -> trunk/1de4540449ad6b9df8f452ab72da30ce8908af60
2025-08-26T20:08:31.6260744Z  * [new tag]                 trunk/1e3fe78a104776cd708f150116348540346dae25 -> trunk/1e3fe78a104776cd708f150116348540346dae25
2025-08-26T20:08:31.6262125Z  * [new tag]                 trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a -> trunk/1ea918caf990c84bcb4e4ee5eee90f1102815b0a
2025-08-26T20:08:31.6262386Z  * [new tag]                 trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a -> trunk/1eccfb157ab9855b3f81872a23502fb15f455e0a
2025-08-26T20:08:31.6262943Z  * [new tag]                 trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c -> trunk/1fbe230b0d82251c6de8b5ae86c4da456b1db05c
2025-08-26T20:08:31.6263798Z  * [new tag]                 trunk/209143ddeb99b0b075d16525088cee4893be7492 -> trunk/209143ddeb99b0b075d16525088cee4893be7492
2025-08-26T20:08:31.6264064Z  * [new tag]                 trunk/22df59efc0a845b3ff37019029efd07c5a25c456 -> trunk/22df59efc0a845b3ff37019029efd07c5a25c456
2025-08-26T20:08:31.6264790Z  * [new tag]                 trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3 -> trunk/23b033452fb1d4b404216279bbf5b6d06d8570c3
2025-08-26T20:08:31.6265410Z  * [new tag]                 trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a -> trunk/24e7f3c21c9452c81d72bbd4b0c6b1f96f33536a
2025-08-26T20:08:31.6266200Z  * [new tag]                 trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9 -> trunk/25df65afd8b5e2fffbcaf2b7ed63ef7a1e37ecb9
2025-08-26T20:08:31.6266669Z  * [new tag]                 trunk/262640fd220236042fbf4443cc163c8838c84c3d -> trunk/262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:31.6267245Z  * [new tag]                 trunk/266784ec6ae82f823abe406582e7a91f2ebb564a -> trunk/266784ec6ae82f823abe406582e7a91f2ebb564a
2025-08-26T20:08:31.6267638Z  * [new tag]                 trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409 -> trunk/2835cc5e91eda8cbc4ac59de2ca990fa17107409
2025-08-26T20:08:31.6268328Z  * [new tag]                 trunk/284b7190054686e68d9cc683b6ce43e45dd22338 -> trunk/284b7190054686e68d9cc683b6ce43e45dd22338
2025-08-26T20:08:31.6268809Z  * [new tag]                 trunk/29afde20203ee6773641b4e3552942a37315316f -> trunk/29afde20203ee6773641b4e3552942a37315316f
2025-08-26T20:08:31.6269419Z  * [new tag]                 trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e -> trunk/2a7a7ad7116d930fde86cda02f668e624d26ec3e
2025-08-26T20:08:31.6270516Z  * [new tag]                 trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8 -> trunk/2b62ef74208792c7c4bf923f872e54b5f384efc8
2025-08-26T20:08:31.6270771Z  * [new tag]                 trunk/2beffb3311a41589021c121dac543994a7cbdff2 -> trunk/2beffb3311a41589021c121dac543994a7cbdff2
2025-08-26T20:08:31.6271418Z  * [new tag]                 trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54 -> trunk/2c0650a00a0a0dd2bbf25ed22780fdd881bcda54
2025-08-26T20:08:31.6272024Z  * [new tag]                 trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421 -> trunk/2cf69fe0e1bdb1413fe9e802c4b84d8958708421
2025-08-26T20:08:31.6272483Z  * [new tag]                 trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10 -> trunk/2cf7ac2fb7ab4067e17cc5ca71034b1c61a4fb10
2025-08-26T20:08:31.6273163Z  * [new tag]                 trunk/2f0cba934de7094a66c6ce68f5e937254f23142a -> trunk/2f0cba934de7094a66c6ce68f5e937254f23142a
2025-08-26T20:08:31.6273615Z  * [new tag]                 trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6 -> trunk/2f0de0ff9361ca4f2b1e6f9edbc600b5fb6abcd6
2025-08-26T20:08:31.6274300Z  * [new tag]                 trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf -> trunk/2f50ae7d2022cb096c4156f5a207c291e36ddecf
2025-08-26T20:08:31.6274825Z  * [new tag]                 trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06 -> trunk/2fdd4f918cdc5fc8070e4c9c0d87b9045d316c06
2025-08-26T20:08:31.6275442Z  * [new tag]                 trunk/30384abcb1d181e774c0ac21b580aa34336a96c6 -> trunk/30384abcb1d181e774c0ac21b580aa34336a96c6
2025-08-26T20:08:31.6276586Z  * [new tag]                 trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d -> trunk/31a41daff49f2cde941d8b9e35cb2eaeeb606c0d
2025-08-26T20:08:31.6276849Z  * [new tag]                 trunk/332fa5b388521c05a19217649745c6edfdc2836d -> trunk/332fa5b388521c05a19217649745c6edfdc2836d
2025-08-26T20:08:31.6277919Z  * [new tag]                 trunk/33346b58148c55592994a43385c321ae8c8808f2 -> trunk/33346b58148c55592994a43385c321ae8c8808f2
2025-08-26T20:08:31.6278177Z  * [new tag]                 trunk/3373b074f5ea5277974fa6e945544fdfb16bb446 -> trunk/3373b074f5ea5277974fa6e945544fdfb16bb446
2025-08-26T20:08:31.6281512Z  * [new tag]                 trunk/33c3794533844236a6e30ba377e0a6802b279fc8 -> trunk/33c3794533844236a6e30ba377e0a6802b279fc8
2025-08-26T20:08:31.6281823Z  * [new tag]                 trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208 -> trunk/35e4d97e047bff8b38fee1dcf6ef6503f0fc9208
2025-08-26T20:08:31.6282073Z  * [new tag]                 trunk/36ac916929ca67b533cc45932970297e9824324e -> trunk/36ac916929ca67b533cc45932970297e9824324e
2025-08-26T20:08:31.6282370Z  * [new tag]                 trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76 -> trunk/371909cfd10e0da1bab1e12fb54a2403c37c5f76
2025-08-26T20:08:31.6282609Z  * [new tag]                 trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b -> trunk/373e25c2eb9f882356a9c7a2f18020935ff1d78b
2025-08-26T20:08:31.6282866Z  * [new tag]                 trunk/37a34022b59a6ff2757e5cec0fdc72278418f339 -> trunk/37a34022b59a6ff2757e5cec0fdc72278418f339
2025-08-26T20:08:31.6283300Z  * [new tag]                 trunk/38a492d40d7ebb2856cb120df337c6cdac244528 -> trunk/38a492d40d7ebb2856cb120df337c6cdac244528
2025-08-26T20:08:31.6283583Z  * [new tag]                 trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728 -> trunk/394728bab2de21e8002fc6a47aa4d3acb2d7a728
2025-08-26T20:08:31.6283879Z  * [new tag]                 trunk/39862acb2e320783245d2a03acfd1b14cae28038 -> trunk/39862acb2e320783245d2a03acfd1b14cae28038
2025-08-26T20:08:31.6284663Z  * [new tag]                 trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f -> trunk/3a4140bf8e783db3f0094d2a2ce1d8534066432f
2025-08-26T20:08:31.6285142Z  * [new tag]                 trunk/3caddd4daa5b1a167663c07219e065e86247ad76 -> trunk/3caddd4daa5b1a167663c07219e065e86247ad76
2025-08-26T20:08:31.6285765Z  * [new tag]                 trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9 -> trunk/3dacaf0e1eb3286e70bf8d572000ecebf2c1f4c9
2025-08-26T20:08:31.6286317Z  * [new tag]                 trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa -> trunk/3e210f90c2cbd5817aa23d430da10cad200a3ffa
2025-08-26T20:08:31.6286716Z  * [new tag]                 trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062 -> trunk/3e3e83418d0f6b1495f79380f3a3dbc8b2d23062
2025-08-26T20:08:31.6287320Z  * [new tag]                 trunk/3e5b021f217a42ae55dc690083f67a28126808ed -> trunk/3e5b021f217a42ae55dc690083f67a28126808ed
2025-08-26T20:08:31.6287853Z  * [new tag]                 trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39 -> trunk/3ea6cc8c2d443d6104159d50e8328c144f6caa39
2025-08-26T20:08:31.6288489Z  * [new tag]                 trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24 -> trunk/3f1a97a99cad4cc682b20b43c1178ed9e1b81f24
2025-08-26T20:08:31.6289056Z  * [new tag]                 trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3 -> trunk/3f5a8e2003f2234ca8be19fdc307ba7b995f9be3
2025-08-26T20:08:31.6289667Z  * [new tag]                 trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759 -> trunk/40c0e700a488191cd8f541b30d8e3b9f2c0bc759
2025-08-26T20:08:31.6290264Z  * [new tag]                 trunk/419a2dbf5f69cee52382090200b532a81da92c69 -> trunk/419a2dbf5f69cee52382090200b532a81da92c69
2025-08-26T20:08:31.6290936Z  * [new tag]                 trunk/431846a6323c6f1d02da49e311ac694324f386f4 -> trunk/431846a6323c6f1d02da49e311ac694324f386f4
2025-08-26T20:08:31.6291457Z  * [new tag]                 trunk/44549c7146bd6c4166f97e856037babe1b7f4f49 -> trunk/44549c7146bd6c4166f97e856037babe1b7f4f49
2025-08-26T20:08:31.6292201Z  * [new tag]                 trunk/447d34b5f80fb7350f79decd855cb599cab39083 -> trunk/447d34b5f80fb7350f79decd855cb599cab39083
2025-08-26T20:08:31.6292980Z  * [new tag]                 trunk/46429be72323c1807a785234164bd91011f68d08 -> trunk/46429be72323c1807a785234164bd91011f68d08
2025-08-26T20:08:31.6293249Z  * [new tag]                 trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8 -> trunk/4651aaac47ff855e08a74e2fdbfa605bc53afba8
2025-08-26T20:08:31.6293970Z  * [new tag]                 trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab -> trunk/46576f5a164fcf95ec7fceaa13516bcb1ca4f6ab
2025-08-26T20:08:31.6294482Z  * [new tag]                 trunk/47d267364cad407b5612bf4a5faa160d2f4a7121 -> trunk/47d267364cad407b5612bf4a5faa160d2f4a7121
2025-08-26T20:08:31.6295176Z  * [new tag]                 trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24 -> trunk/49ff884b1edc3b872eeb2387ec60ef230cae7f24
2025-08-26T20:08:31.6295975Z  * [new tag]                 trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4 -> trunk/4a1aca11c20cfa29a1513b9f289d75bfe32d05d4
2025-08-26T20:08:31.6296239Z  * [new tag]                 trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52 -> trunk/4acdbb8311f760513556e2e4fdd7bfd88c225e52
2025-08-26T20:08:31.6296965Z  * [new tag]                 trunk/4c36c8a99463c898190a462300ba7f05b5b3384e -> trunk/4c36c8a99463c898190a462300ba7f05b5b3384e
2025-08-26T20:08:31.6297461Z  * [new tag]                 trunk/4e19c1906a830714c1d9d71361357ce616a034d6 -> trunk/4e19c1906a830714c1d9d71361357ce616a034d6
2025-08-26T20:08:31.6298239Z  * [new tag]                 trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898 -> trunk/4ed3184dee1bf4f775839bfd1448a7a34fe5a898
2025-08-26T20:08:31.6298781Z  * [new tag]                 trunk/50cfe76231768ee2c784f68a1eba03369f386019 -> trunk/50cfe76231768ee2c784f68a1eba03369f386019
2025-08-26T20:08:31.6299322Z  * [new tag]                 trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810 -> trunk/510825e5fed8b56eb5e9352c12f0df1feeadb810
2025-08-26T20:08:31.6299982Z  * [new tag]                 trunk/512fc768e94c937df350911aaa4ebce757d1f9df -> trunk/512fc768e94c937df350911aaa4ebce757d1f9df
2025-08-26T20:08:31.6304837Z  * [new tag]                 trunk/517d38d3406abbba35d0694bff259a698cad3ec9 -> trunk/517d38d3406abbba35d0694bff259a698cad3ec9
2025-08-26T20:08:31.6305126Z  * [new tag]                 trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2 -> trunk/5255e65c01bf48bbcd916ecf16ed81cf28d3c6e2
2025-08-26T20:08:31.6305376Z  * [new tag]                 trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed -> trunk/543896fcf3312f2053018edf9ee74c0fbb1d28ed
2025-08-26T20:08:31.6305644Z  * [new tag]                 trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb -> trunk/54c2b66592d168e4a7525f7a58f8ca020517a9cb
2025-08-26T20:08:31.6305891Z  * [new tag]                 trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1 -> trunk/54cc63b467f24242cf0d6538d3e1df39e553daf1
2025-08-26T20:08:31.6306148Z  * [new tag]                 trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7 -> trunk/56ebed627a23eea36190e1ced5024a18ffcedbd7
2025-08-26T20:08:31.6306396Z  * [new tag]                 trunk/576a0e64ed2470abd2c430205d1984a11951ce05 -> trunk/576a0e64ed2470abd2c430205d1984a11951ce05
2025-08-26T20:08:31.6306824Z  * [new tag]                 trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa -> trunk/5805c4210b477f0a7315d6038078dc4a8be1c8fa
2025-08-26T20:08:31.6307069Z  * [new tag]                 trunk/58f9a3dd6391397e439c5f5075837e8f983735aa -> trunk/58f9a3dd6391397e439c5f5075837e8f983735aa
2025-08-26T20:08:31.6307449Z  * [new tag]                 trunk/595987d28d4c8aee68de83734af919c7710ad58b -> trunk/595987d28d4c8aee68de83734af919c7710ad58b
2025-08-26T20:08:31.6321962Z  * [new tag]                 trunk/599f639ddb8bb45abb2dc305542f38288427183d -> trunk/599f639ddb8bb45abb2dc305542f38288427183d
2025-08-26T20:08:31.6326212Z  * [new tag]                 trunk/5afa4187dfe1e99278f8e372ec09102d5b937572 -> trunk/5afa4187dfe1e99278f8e372ec09102d5b937572
2025-08-26T20:08:31.6330468Z  * [new tag]                 trunk/5d9653d90ee003173dd03f93e09fed236500ef06 -> trunk/5d9653d90ee003173dd03f93e09fed236500ef06
2025-08-26T20:08:31.6331051Z  * [new tag]                 trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e -> trunk/5dad5b4f57ade4001c0f421dbdad2e418304870e
2025-08-26T20:08:31.6331316Z  * [new tag]                 trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f -> trunk/5ee464db5c4293ac09521f9069fa7d2106680a7f
2025-08-26T20:08:31.6331566Z  * [new tag]                 trunk/6096d277c543f5dd40351431ef9a8d556134c74d -> trunk/6096d277c543f5dd40351431ef9a8d556134c74d
2025-08-26T20:08:31.6331818Z  * [new tag]                 trunk/62db8ec39116544ae247f876b3e06753178db49b -> trunk/62db8ec39116544ae247f876b3e06753178db49b
2025-08-26T20:08:31.6332081Z  * [new tag]                 trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1 -> trunk/639b8cc51ddebf10361f3840a6b0a244eb6092a1
2025-08-26T20:08:31.6332344Z  * [new tag]                 trunk/6443ea337df843681bc558d99efa84a3e5559b7f -> trunk/6443ea337df843681bc558d99efa84a3e5559b7f
2025-08-26T20:08:31.6332855Z  * [new tag]                 trunk/6598f00c18dfcc4fc50427305b6b5724e617246f -> trunk/6598f00c18dfcc4fc50427305b6b5724e617246f
2025-08-26T20:08:31.6333125Z  * [new tag]                 trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611 -> trunk/65d21dae18a34e8bd1b2f0e5aec7144b9dd33611
2025-08-26T20:08:31.6333382Z  * [new tag]                 trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43 -> trunk/660b5656a436dcccb0275ea5421d3eb4f1157b43
2025-08-26T20:08:31.6333695Z  * [new tag]                 trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc -> trunk/66166cf1e7696bf25f6f7bb815a93df367db48dc
2025-08-26T20:08:31.6334017Z  * [new tag]                 trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03 -> trunk/667245dc60242a35ae0a6b0072628eb8e15a6d03
2025-08-26T20:08:31.6334262Z  * [new tag]                 trunk/67b98da1b262317f9c0375d64a4b467c82712548 -> trunk/67b98da1b262317f9c0375d64a4b467c82712548
2025-08-26T20:08:31.6334527Z  * [new tag]                 trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab -> trunk/67d31f6b281d3b15b205756fc7ebc450cdde1dab
2025-08-26T20:08:31.6334789Z  * [new tag]                 trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4 -> trunk/67fc16c7447f4fc04e7d28bfe201a4a0c78f3ea4
2025-08-26T20:08:31.6335053Z  * [new tag]                 trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9 -> trunk/6aef9f3a6906c011a57541c1de7a246222bc9ac9
2025-08-26T20:08:31.6335317Z  * [new tag]                 trunk/6ea4be1e2eca952ea66090182bd2eede89799a45 -> trunk/6ea4be1e2eca952ea66090182bd2eede89799a45
2025-08-26T20:08:31.6335576Z  * [new tag]                 trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021 -> trunk/7006fd0c8874cb0228d3f2bfd83a989bde4b7021
2025-08-26T20:08:31.6335823Z  * [new tag]                 trunk/710514a2a51facaba445d2c188541d778f9fdb59 -> trunk/710514a2a51facaba445d2c188541d778f9fdb59
2025-08-26T20:08:31.6336079Z  * [new tag]                 trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1 -> trunk/7131bfab89c46ffe31b61ea4937a8727e9cf33c1
2025-08-26T20:08:31.6336345Z  * [new tag]                 trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72 -> trunk/726dce3c944cbda16e54d3b15cdb4b6ced05af72
2025-08-26T20:08:31.6336595Z  * [new tag]                 trunk/72e4786d1635681b8d053d0168c7d16b980e5124 -> trunk/72e4786d1635681b8d053d0168c7d16b980e5124
2025-08-26T20:08:31.6336878Z  * [new tag]                 trunk/7376111d59f3170c2814d565c09d09435189692a -> trunk/7376111d59f3170c2814d565c09d09435189692a
2025-08-26T20:08:31.6337123Z  * [new tag]                 trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1 -> trunk/74124d1b46774f2a73aa1aadc2b0874cb523b1c1
2025-08-26T20:08:31.6337362Z  * [new tag]                 trunk/74280d091321343b47a2975e17584b973d7c22c4 -> trunk/74280d091321343b47a2975e17584b973d7c22c4
2025-08-26T20:08:31.6337604Z  * [new tag]                 trunk/74c4c758afa8c28162f00a456c185552e1159fd3 -> trunk/74c4c758afa8c28162f00a456c185552e1159fd3
2025-08-26T20:08:31.6337851Z  * [new tag]                 trunk/763053dc536341997641e920d8887b3010901b3b -> trunk/763053dc536341997641e920d8887b3010901b3b
2025-08-26T20:08:31.6338143Z  * [new tag]                 trunk/774b4befa18741b3115802cae71000168a40c384 -> trunk/774b4befa18741b3115802cae71000168a40c384
2025-08-26T20:08:31.6338411Z  * [new tag]                 trunk/77bc959fe122bfd131e339ca36cab445a1860806 -> trunk/77bc959fe122bfd131e339ca36cab445a1860806
2025-08-26T20:08:31.6338666Z  * [new tag]                 trunk/78a8e6a671c5631bc0e89b0e674790a424540547 -> trunk/78a8e6a671c5631bc0e89b0e674790a424540547
2025-08-26T20:08:31.6338932Z  * [new tag]                 trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808 -> trunk/7e4bfa74eafab994b01f8b5501d4d061cbf64808
2025-08-26T20:08:31.6339185Z  * [new tag]                 trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea -> trunk/7e6ce41555d595e3fa0d91059491f21cee3eb5ea
2025-08-26T20:08:31.6339424Z  * [new tag]                 trunk/7f201baf414301b3312576893b7f6f2698acd9ba -> trunk/7f201baf414301b3312576893b7f6f2698acd9ba
2025-08-26T20:08:31.6339708Z  * [new tag]                 trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a -> trunk/7fcdd8d6afeda6a4c8630816e12bf7cca44b8f8a
2025-08-26T20:08:31.6339951Z  * [new tag]                 trunk/801851086d09506d081800108c9e214edb3f5b7d -> trunk/801851086d09506d081800108c9e214edb3f5b7d
2025-08-26T20:08:31.6340277Z  * [new tag]                 trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f -> trunk/8047cde0f3a27f3afa218792b8464d5e0c9d942f
2025-08-26T20:08:31.6340536Z  * [new tag]                 trunk/80df27a612be3433516d7e6dfc8d8be058425d3e -> trunk/80df27a612be3433516d7e6dfc8d8be058425d3e
2025-08-26T20:08:31.6340828Z  * [new tag]                 trunk/818ba434c7de4cd604184b2857d544e0ad95735f -> trunk/818ba434c7de4cd604184b2857d544e0ad95735f
2025-08-26T20:08:31.6341092Z  * [new tag]                 trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527 -> trunk/83283ce7f5a7847b4e561e22be9b0f4530b05527
2025-08-26T20:08:31.6341523Z  * [new tag]                 trunk/85adf80cf15538a7e010fa235036fe8e06f8bede -> trunk/85adf80cf15538a7e010fa235036fe8e06f8bede
2025-08-26T20:08:31.6341908Z  * [new tag]                 trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740 -> trunk/8aad3a60ce16a4acab17a8e46e5df339db2ff740
2025-08-26T20:08:31.6342283Z  * [new tag]                 trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2 -> trunk/8c442e4fd3310e15f57770944f883ac1d73e77e2
2025-08-26T20:08:31.6342655Z  * [new tag]                 trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8 -> trunk/8c506e6310b9b5295151fb725be479d0f80ce5e8
2025-08-26T20:08:31.6342999Z  * [new tag]                 trunk/8cfc119491f533c4edded4263a78eb0af782a2d5 -> trunk/8cfc119491f533c4edded4263a78eb0af782a2d5
2025-08-26T20:08:31.6343349Z  * [new tag]                 trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e -> trunk/8dbe7f99bd707ee28ae12ecb9cab54e1785bf13e
2025-08-26T20:08:31.6348355Z  * [new tag]                 trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa -> trunk/8e1770905565cd67d6c3a91c7afa462f4ef6e6aa
2025-08-26T20:08:31.6348658Z  * [new tag]                 trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9 -> trunk/8f31aa97a3e1e17bed29b6cedf9884f0c6b145e9
2025-08-26T20:08:31.6348961Z  * [new tag]                 trunk/8f766d68397736053883aa281cae0eb46bb233bb -> trunk/8f766d68397736053883aa281cae0eb46bb233bb
2025-08-26T20:08:31.6349233Z  * [new tag]                 trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836 -> trunk/908b0ccb1f70ed2cfa830484e05ee32af13b1836
2025-08-26T20:08:31.6349508Z  * [new tag]                 trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b -> trunk/90ea9ccefe3e2d9a9e4840016d1af10c1814d48b
2025-08-26T20:08:31.6349771Z  * [new tag]                 trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e -> trunk/9225c6199412f8a2ee99b7c29f533fb98b9ff62e
2025-08-26T20:08:31.6350032Z  * [new tag]                 trunk/923bc46122d173a7964c646311a3bea3cd8dd561 -> trunk/923bc46122d173a7964c646311a3bea3cd8dd561
2025-08-26T20:08:31.6350286Z  * [new tag]                 trunk/92ab18482459a63e97f1374e27e8411964da9762 -> trunk/92ab18482459a63e97f1374e27e8411964da9762
2025-08-26T20:08:31.6350533Z  * [new tag]                 trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e -> trunk/94b9569c4a86e12b944ca66e3125357a14d0eb9e
2025-08-26T20:08:31.6350967Z  * [new tag]                 trunk/957b170d8efe2a51147e0cdb7515acc345ba81da -> trunk/957b170d8efe2a51147e0cdb7515acc345ba81da
2025-08-26T20:08:31.6351230Z  * [new tag]                 trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae -> trunk/958f9ca88e9a1580de7c94a5a2ca8a750b1335ae
2025-08-26T20:08:31.6351483Z  * [new tag]                 trunk/96682103026b5ea27f19e6db9303e17572095b0e -> trunk/96682103026b5ea27f19e6db9303e17572095b0e
2025-08-26T20:08:31.6351733Z  * [new tag]                 trunk/97200c971110d54030feaad999698c7341f8acc7 -> trunk/97200c971110d54030feaad999698c7341f8acc7
2025-08-26T20:08:31.6351999Z  * [new tag]                 trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be -> trunk/981ac533c6e69a77538aaa7a9747c3d840dfa8be
2025-08-26T20:08:31.6352248Z  * [new tag]                 trunk/995397d47a0e27394ee1010f158e181eb304100a -> trunk/995397d47a0e27394ee1010f158e181eb304100a
2025-08-26T20:08:31.6352564Z  * [new tag]                 trunk/9a41570199155eee92ebd28452a556075e34e1b4 -> trunk/9a41570199155eee92ebd28452a556075e34e1b4
2025-08-26T20:08:31.6352841Z  * [new tag]                 trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da -> trunk/9b3ebd25acfd2ff4e9b7428079ba364d6f8a14da
2025-08-26T20:08:31.6353112Z  * [new tag]                 trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44 -> trunk/9b4adc4db7494dbc4dbbac5dd85ccbf5babaef44
2025-08-26T20:08:31.6353389Z  * [new tag]                 trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a -> trunk/9d18bf01b1661d227f6af41ac07a1e9ef20a9e1a
2025-08-26T20:08:31.6353734Z  * [new tag]                 trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5 -> trunk/9d7cecdd6c44c5421d341bcc359be4097ea9a2f5
2025-08-26T20:08:31.6357822Z  * [new tag]                 trunk/9d882fd9ffc6ad2a292fee548740aabfea745002 -> trunk/9d882fd9ffc6ad2a292fee548740aabfea745002
2025-08-26T20:08:31.6358127Z  * [new tag]                 trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3 -> trunk/9d9cc9897ac44a1a8df38211b03d8342a8af48c3
2025-08-26T20:08:31.6358417Z  * [new tag]                 trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a -> trunk/9e1c9541344b2aa1c946edb779d275072f3b8f4a
2025-08-26T20:08:31.6358693Z  * [new tag]                 trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea -> trunk/9e491f753ee521a70e6a7e7dbb36f96c9350f5ea
2025-08-26T20:08:31.6358945Z  * [new tag]                 trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933 -> trunk/9f6e1b8730d6a7a7d012be90ae08674294aa4933
2025-08-26T20:08:31.6359215Z  * [new tag]                 trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b -> trunk/a03cc53e6f6e2fe67316cb8c74c25f5b953f445b
2025-08-26T20:08:31.6359476Z  * [new tag]                 trunk/a154c2093c0f2646346f032e1f30012779b3c51d -> trunk/a154c2093c0f2646346f032e1f30012779b3c51d
2025-08-26T20:08:31.6359744Z  * [new tag]                 trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88 -> trunk/a391fa1c42dd32e32a2e5b1cb196bac56daaca88
2025-08-26T20:08:31.6362574Z  * [new tag]                 trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645 -> trunk/a3a82e3da85a53afc4bbf3d75bd3d3dcc2e06645
2025-08-26T20:08:31.6362856Z  * [new tag]                 trunk/a3fe1ced409d186628ff2975f05ba529a86fae84 -> trunk/a3fe1ced409d186628ff2975f05ba529a86fae84
2025-08-26T20:08:31.6363117Z  * [new tag]                 trunk/a43480d19cdd68e544163b1a07c328a9c54723b8 -> trunk/a43480d19cdd68e544163b1a07c328a9c54723b8
2025-08-26T20:08:31.6363378Z  * [new tag]                 trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77 -> trunk/a445b41e4f11daa82a53a21ec413c15d5079ae77
2025-08-26T20:08:31.6363709Z  * [new tag]                 trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b -> trunk/a44a0d3671b4ccf2fe915896a8a5204fe79b1e7b
2025-08-26T20:08:31.6363962Z  * [new tag]                 trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182 -> trunk/a6401cb5aa51622045c3f9a03b2cebef236e4182
2025-08-26T20:08:31.6364224Z  * [new tag]                 trunk/a68f63e33161b4665e0f4c399bf8072135a35a57 -> trunk/a68f63e33161b4665e0f4c399bf8072135a35a57
2025-08-26T20:08:31.6364630Z  * [new tag]                 trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b -> trunk/a72803f1e3c69c780b7d7bcdd9b35360fd98148b
2025-08-26T20:08:31.6364932Z  * [new tag]                 trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb -> trunk/a7b5955ea8851d73e35f50a0de5bb0626bae24cb
2025-08-26T20:08:31.6365196Z  * [new tag]                 trunk/a818fa77e3a72271f144514ef349c5a666313205 -> trunk/a818fa77e3a72271f144514ef349c5a666313205
2025-08-26T20:08:31.6365960Z  * [new tag]                 trunk/a825557ed53507e85ac613862311a81eb88710a4 -> trunk/a825557ed53507e85ac613862311a81eb88710a4
2025-08-26T20:08:31.6366240Z  * [new tag]                 trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e -> trunk/a85711d565f37b0095af9f7dafa77f392c9aa31e
2025-08-26T20:08:31.6366507Z  * [new tag]                 trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88 -> trunk/a941d7ffe54b5f256c1fbd3959ddbf608b7eea88
2025-08-26T20:08:31.6366806Z  * [new tag]                 trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58 -> trunk/a9fabeb012a4b804836a2b8d4b3742b92c9a6b58
2025-08-26T20:08:31.6367075Z  * [new tag]                 trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b -> trunk/ab7787fb82dd777b2f777ef58bc20dbb7bd8289b
2025-08-26T20:08:31.6367348Z  * [new tag]                 trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6 -> trunk/ab8d60f4c86ca19ed00d6e79ae8e6939266f28e6
2025-08-26T20:08:31.6367620Z  * [new tag]                 trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b -> trunk/ac8d9418aee4543fa193c86ae0bc3e63707bcd3b
2025-08-26T20:08:31.6367957Z  * [new tag]                 trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e -> trunk/acb00d3ccf5f2d566225f07ed66bd579d5d3e44e
2025-08-26T20:08:31.6368243Z  * [new tag]                 trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83 -> trunk/adecb0c9e89e0dfe18d944d292c98c97b686fc83
2025-08-26T20:08:31.6368853Z  * [new tag]                 trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc -> trunk/ae8d319fd4a0b0fa7b1372aa07690a36ce823abc
2025-08-26T20:08:31.6369390Z  * [new tag]                 trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18 -> trunk/af3265d20f763e5366bfa37e3d4a6307036d0c18
2025-08-26T20:08:31.6370116Z  * [new tag]                 trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6 -> trunk/b0420d24386263f2727fd5714b63cfa6bc89f3e6
2025-08-26T20:08:31.6371653Z  * [new tag]                 trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687 -> trunk/b1380f434da2fa2de0e5ff6fd70f73082dc08687
2025-08-26T20:08:31.6371913Z  * [new tag]                 trunk/b2632e79828300302fd11e093d765196c3c0db58 -> trunk/b2632e79828300302fd11e093d765196c3c0db58
2025-08-26T20:08:31.6372192Z  * [new tag]                 trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67 -> trunk/b2e06e0194c3fa8f7578a1b48751cc027394fb67
2025-08-26T20:08:31.6372607Z  * [new tag]                 trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27 -> trunk/b3e215b864e6ca43b2c4e50ce666673f80feee27
2025-08-26T20:08:31.6373379Z  * [new tag]                 trunk/b708966201811b31ee765ec57715ac21d06ef652 -> trunk/b708966201811b31ee765ec57715ac21d06ef652
2025-08-26T20:08:31.6373640Z  * [new tag]                 trunk/b9e9e92817fd7d1a778f074105603efb07e05004 -> trunk/b9e9e92817fd7d1a778f074105603efb07e05004
2025-08-26T20:08:31.6374412Z  * [new tag]                 trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84 -> trunk/bc7eaa0d8a1f5ca8ec0eaac461d1df500dcaea84
2025-08-26T20:08:31.6374877Z  * [new tag]                 trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045 -> trunk/bcfe1b2d714cbb2716495e09ae010e7c34daf045
2025-08-26T20:08:31.6375975Z  * [new tag]                 trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a -> trunk/bd5857a1d6d5455d4f0057c182dff5e8ad2a4c8a
2025-08-26T20:08:31.6376228Z  * [new tag]                 trunk/be2e6b3158552405acc13ef7829a0217826fb271 -> trunk/be2e6b3158552405acc13ef7829a0217826fb271
2025-08-26T20:08:31.6377336Z  * [new tag]                 trunk/be87f22dfba4488963fcc854699829e2782ee0f2 -> trunk/be87f22dfba4488963fcc854699829e2782ee0f2
2025-08-26T20:08:31.6377600Z  * [new tag]                 trunk/becd6cd744bdf950578519437652a0d1f4b48781 -> trunk/becd6cd744bdf950578519437652a0d1f4b48781
2025-08-26T20:08:31.6379313Z  * [new tag]                 trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216 -> trunk/bf8431ba062efa9ff0cdd5032a3ddf2e007a3216
2025-08-26T20:08:31.6379605Z  * [new tag]                 trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32 -> trunk/c02e26bf31eb3da301158a061aa68527dbfb4d32
2025-08-26T20:08:31.6379875Z  * [new tag]                 trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7 -> trunk/c081481bbebdb568d07ee19cfe2cd3125de6cba7
2025-08-26T20:08:31.6380393Z  * [new tag]                 trunk/c2390087c34c964ef648addf43efb8c6a34e30c2 -> trunk/c2390087c34c964ef648addf43efb8c6a34e30c2
2025-08-26T20:08:31.6384147Z  * [new tag]                 trunk/c4670e40c9b741d50a79b714e3830149833be908 -> trunk/c4670e40c9b741d50a79b714e3830149833be908
2025-08-26T20:08:31.6384408Z  * [new tag]                 trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a -> trunk/c5cb255625deb4cdbc5780e6911b73498e17ed5a
2025-08-26T20:08:31.6385000Z  * [new tag]                 trunk/c60dea5261d9648d1da51528a07731966bb6823e -> trunk/c60dea5261d9648d1da51528a07731966bb6823e
2025-08-26T20:08:31.6385286Z  * [new tag]                 trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc -> trunk/c74e5f60611b7eac4321f53a9e4a15b077fb1bcc
2025-08-26T20:08:31.6385540Z  * [new tag]                 trunk/c7a77470c54b28e555319e34048af14d1d66198a -> trunk/c7a77470c54b28e555319e34048af14d1d66198a
2025-08-26T20:08:31.6385803Z  * [new tag]                 trunk/c7fb031706330684fc3a2d8d169bebea874d4e95 -> trunk/c7fb031706330684fc3a2d8d169bebea874d4e95
2025-08-26T20:08:31.6386255Z  * [new tag]                 trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca -> trunk/c8bb0e4720ddddf3cd1b0b48b336978f763c71ca
2025-08-26T20:08:31.6389348Z  * [new tag]                 trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f -> trunk/ca9fe0107e165a4a4147325ff6d34235ebde447f
2025-08-26T20:08:31.6392386Z  * [new tag]                 trunk/caf98fde0d5c47452af45dc77099449edd521579 -> trunk/caf98fde0d5c47452af45dc77099449edd521579
2025-08-26T20:08:31.6392689Z  * [new tag]                 trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1 -> trunk/cb579532150c9e87e7c143adcb020fb7de7cc6b1
2025-08-26T20:08:31.6392961Z  * [new tag]                 trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f -> trunk/cc2b65a91ae7773d4ecf9a600dda48fc3e69aa8f
2025-08-26T20:08:31.6393232Z  * [new tag]                 trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d -> trunk/cc791d5857f4aa06b8d4e567b1fb2852e3ae963d
2025-08-26T20:08:31.6393524Z  * [new tag]                 trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec -> trunk/cd31be28ec5cd0c4d9cdb6742efe151eee1406ec
2025-08-26T20:08:31.6393776Z  * [new tag]                 trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138 -> trunk/cd87f3029582cedb3b88747a3bd7d200b05c1138
2025-08-26T20:08:31.6394021Z  * [new tag]                 trunk/ce048de608180fa88335e5821070472539968b54 -> trunk/ce048de608180fa88335e5821070472539968b54
2025-08-26T20:08:31.6394284Z  * [new tag]                 trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936 -> trunk/ce467df5d1d763d1648aee51c93ce3e9a4699936
2025-08-26T20:08:31.6394576Z  * [new tag]                 trunk/cee72119b2dec7776bc2550dd39a9b1349772751 -> trunk/cee72119b2dec7776bc2550dd39a9b1349772751
2025-08-26T20:08:31.6397218Z  * [new tag]                 trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0 -> trunk/cf94cadbeee31a4d1d46a57f11bce7c9fd1cebc0
2025-08-26T20:08:31.6397583Z  * [new tag]                 trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e -> trunk/cfdaaaaa26d7f34427ba941569eca46f02f79f3e
2025-08-26T20:08:31.6397875Z  * [new tag]                 trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a -> trunk/d1faf2ef0476eb60b42c057baee9af0f48ae849a
2025-08-26T20:08:31.6398135Z  * [new tag]                 trunk/d228a776e90368bb693837ae23285ad8fc33def5 -> trunk/d228a776e90368bb693837ae23285ad8fc33def5
2025-08-26T20:08:31.6398510Z  * [new tag]                 trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31 -> trunk/d2b8c0d431e00ad57354c5247e46c1bea0b8cd31
2025-08-26T20:08:31.6399453Z  * [new tag]                 trunk/d2bd55d8de784df439b38378f161271dc43b744c -> trunk/d2bd55d8de784df439b38378f161271dc43b744c
2025-08-26T20:08:31.6399730Z  * [new tag]                 trunk/d4703fb91c3510460d71f648da113177edf593c8 -> trunk/d4703fb91c3510460d71f648da113177edf593c8
2025-08-26T20:08:31.6399995Z  * [new tag]                 trunk/d875d3ca1e5099636c766c9df70ac5888c25215a -> trunk/d875d3ca1e5099636c766c9df70ac5888c25215a
2025-08-26T20:08:31.6400279Z  * [new tag]                 trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892 -> trunk/d8fcb2a4acb506f9c72a1f44fc8b857158bda892
2025-08-26T20:08:31.6400546Z  * [new tag]                 trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e -> trunk/daeb3a6094c62d1881ea68091fcadb02d1dc687e
2025-08-26T20:08:31.6400805Z  * [new tag]                 trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0 -> trunk/db38c44ad639e7ada3e9df2ba026a2cb5e40feb0
2025-08-26T20:08:31.6401058Z  * [new tag]                 trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8 -> trunk/db44de4c0d3e9f1fe5334ff4cc261fb8fe4390c8
2025-08-26T20:08:31.6401335Z  * [new tag]                 trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769 -> trunk/dbef6066311a1ce6e60e1f2b6084249d1ad45769
2025-08-26T20:08:31.6401607Z  * [new tag]                 trunk/df571ae7ad7dacf77ce42c00189cf369d7993387 -> trunk/df571ae7ad7dacf77ce42c00189cf369d7993387
2025-08-26T20:08:31.6401851Z  * [new tag]                 trunk/df6073641079c781e66a905e4f15ee49ac257eb2 -> trunk/df6073641079c781e66a905e4f15ee49ac257eb2
2025-08-26T20:08:31.6402274Z  * [new tag]                 trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec -> trunk/e1a64b75ff3dc834774a9174c2e7b1c46dea35ec
2025-08-26T20:08:31.6402758Z  * [new tag]                 trunk/e20f6d798606f3245686e950c43635bbe526232d -> trunk/e20f6d798606f3245686e950c43635bbe526232d
2025-08-26T20:08:31.6403019Z  * [new tag]                 trunk/e25ee0290ef16503f178e04890c15717f6e9ea44 -> trunk/e25ee0290ef16503f178e04890c15717f6e9ea44
2025-08-26T20:08:31.6403585Z  * [new tag]                 trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa -> trunk/e34b6a01039df5d8940acdccd8d8989f3cd827aa
2025-08-26T20:08:31.6404476Z  * [new tag]                 trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a -> trunk/e3d68dfae2dee15e74d3b95beaed7149b6afb94a
2025-08-26T20:08:31.6404943Z  * [new tag]                 trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79 -> trunk/e3ebf364e6d2fb8008da113a596d3cc426ba9c79
2025-08-26T20:08:31.6405469Z  * [new tag]                 trunk/e4839470470168648dee5997f57347bb8541ea2b -> trunk/e4839470470168648dee5997f57347bb8541ea2b
2025-08-26T20:08:31.6406172Z  * [new tag]                 trunk/e63155751825ba026ced3a1fc89563231bc85ccc -> trunk/e63155751825ba026ced3a1fc89563231bc85ccc
2025-08-26T20:08:31.6406915Z  * [new tag]                 trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717 -> trunk/e6aa7287f8c8cac76d792097f20ba1dae6dc8717
2025-08-26T20:08:31.6411621Z  * [new tag]                 trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb -> trunk/e6e45e6ae8452f0bc5e3e258027c42eb9a1394fb
2025-08-26T20:08:31.6411936Z  * [new tag]                 trunk/e795450a35bca909902e12de99245e1c0e7e2872 -> trunk/e795450a35bca909902e12de99245e1c0e7e2872
2025-08-26T20:08:31.6412198Z  * [new tag]                 trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71 -> trunk/e7e270a33a3f368c3ef0c3339950a47fdbfadd71
2025-08-26T20:08:31.6412768Z  * [new tag]                 trunk/e836323a23f5750e800abe04ef8ca386b3066b58 -> trunk/e836323a23f5750e800abe04ef8ca386b3066b58
2025-08-26T20:08:31.6413036Z  * [new tag]                 trunk/e83825f91cb2901567fedbf31ba7cc434a897271 -> trunk/e83825f91cb2901567fedbf31ba7cc434a897271
2025-08-26T20:08:31.6413304Z  * [new tag]                 trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3 -> trunk/e9d42b3880dcdbd823bbdc9370c8b0b3af0ba2e3
2025-08-26T20:08:31.6413568Z  * [new tag]                 trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4 -> trunk/eb5549a43164cdf8689cd7d177c03b2508c699f4
2025-08-26T20:08:31.6414062Z  * [new tag]                 trunk/eba1ad09e47b66478f973e03cece7f314ac3b412 -> trunk/eba1ad09e47b66478f973e03cece7f314ac3b412
2025-08-26T20:08:31.6414330Z  * [new tag]                 trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282 -> trunk/eba20d2d748cb17dce9aa26e5513e4567bfd8282
2025-08-26T20:08:31.6419640Z  * [new tag]                 trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2 -> trunk/ec21cafd85d491d2d220e4e54080fe340a37c4c2
2025-08-26T20:08:31.6421528Z  * [new tag]                 trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3 -> trunk/ed8bcccf31e1ba01a35e818a4afbb74c333e8dc3
2025-08-26T20:08:31.6421835Z  * [new tag]                 trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259 -> trunk/eddaaa6c2a66a84e17b17bf8af5131852067b259
2025-08-26T20:08:31.6429014Z  * [new tag]                 trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a -> trunk/ef761c43538abae5bccc0c4b6ebaf42ff676db7a
2025-08-26T20:08:31.6433302Z  * [new tag]                 trunk/f085f299584b06a2a7d8855eda2a411313e782ad -> trunk/f085f299584b06a2a7d8855eda2a411313e782ad
2025-08-26T20:08:31.6437831Z  * [new tag]                 trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8 -> trunk/f09458c2e16b4fe7063d73d80fd3e7e354bad3f8
2025-08-26T20:08:31.6441986Z  * [new tag]                 trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999 -> trunk/f0e0a6897ee5cb31ccee10ee8e2d3c01140ff999
2025-08-26T20:08:31.6444168Z  * [new tag]                 trunk/f30501937738a2440f90988d1d46920529309ba8 -> trunk/f30501937738a2440f90988d1d46920529309ba8
2025-08-26T20:08:31.6444833Z  * [new tag]                 trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744 -> trunk/f391afe9bf8c542fdbb822423d2a1e454b3d9744
2025-08-26T20:08:31.6445251Z  * [new tag]                 trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1 -> trunk/f521e82a4e80df502fa57e5852af14d8779dcbd1
2025-08-26T20:08:31.6445641Z  * [new tag]                 trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a -> trunk/f5bf5147ad18994c9a6e0f565d7831362bf5a18a
2025-08-26T20:08:31.6446027Z  * [new tag]                 trunk/f795e92802c55608ad4f4f198726d250056d0232 -> trunk/f795e92802c55608ad4f4f198726d250056d0232
2025-08-26T20:08:31.6446384Z  * [new tag]                 trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d -> trunk/f8bd85827d465a8a2a610c27ed9e62a4c27ac07d
2025-08-26T20:08:31.6446752Z  * [new tag]                 trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935 -> trunk/f90ccad1651b5a1698b2232acc3e92e2829b7935
2025-08-26T20:08:31.6447131Z  * [new tag]                 trunk/f912c93344caa74e24c8164a2e25fe84a8203073 -> trunk/f912c93344caa74e24c8164a2e25fe84a8203073
2025-08-26T20:08:31.6447881Z  * [new tag]                 trunk/f9875166a953a51bbd454d963ee03d41818a27e8 -> trunk/f9875166a953a51bbd454d963ee03d41818a27e8
2025-08-26T20:08:31.6448205Z  * [new tag]                 trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36 -> trunk/f9df4ec2af0ac19b42f658ae87acf12067e67b36
2025-08-26T20:08:31.6448474Z  * [new tag]                 trunk/fab5dac734344105ae107e85c08151758a4a9b4d -> trunk/fab5dac734344105ae107e85c08151758a4a9b4d
2025-08-26T20:08:31.6448727Z  * [new tag]                 trunk/fb241d0a448f1dd88471098ac149418124a7c4aa -> trunk/fb241d0a448f1dd88471098ac149418124a7c4aa
2025-08-26T20:08:31.6448986Z  * [new tag]                 trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1 -> trunk/fc0683b1e75fdf3182e0855b3f79e80fe0124ef1
2025-08-26T20:08:31.6449235Z  * [new tag]                 trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0 -> trunk/fc69c2bc67672c3b2d0c62c1821895f09288f1c0
2025-08-26T20:08:31.6449493Z  * [new tag]                 trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0 -> trunk/febfc3ec03004116dfd6d504e6853ff02a1dd6e0
2025-08-26T20:08:31.6449761Z  * [new tag]                 trunk/fecc5f600110209aaaedead11770a445b3c879e6 -> trunk/fecc5f600110209aaaedead11770a445b3c879e6
2025-08-26T20:08:31.6450025Z  * [new tag]                 trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8 -> trunk/ff4f5dd8ed8e2aaee903c7d30cd4f8bd04d883c8
2025-08-26T20:08:31.6450285Z  * [new tag]                 trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec -> trunk/ffa1ce7650766c2ae6eaa96415dfc29e9eb0b3ec
2025-08-26T20:08:31.6450557Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-26T20:08:31.6450684Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-26T20:08:31.6450791Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-26T20:08:31.6450893Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-26T20:08:31.6451008Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-26T20:08:31.6451114Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-26T20:08:31.6451219Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-26T20:08:31.6451317Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-26T20:08:31.6451415Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-26T20:08:31.6451521Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-26T20:08:31.6451623Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-26T20:08:31.6451730Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-26T20:08:31.6451829Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-26T20:08:31.6451926Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-26T20:08:31.6452033Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-26T20:08:31.6452131Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-26T20:08:31.6452304Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-26T20:08:31.6452579Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-26T20:08:31.6452717Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-26T20:08:31.6452825Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-26T20:08:31.6452932Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-26T20:08:31.6453049Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-26T20:08:31.6453149Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-26T20:08:31.6453265Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-26T20:08:31.6453371Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-26T20:08:31.6453490Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-26T20:08:31.6453611Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-26T20:08:31.6453722Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-26T20:08:31.6453832Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-26T20:08:31.6453938Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-26T20:08:31.6454063Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-26T20:08:31.6454173Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-26T20:08:31.6454276Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-26T20:08:31.6454387Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-26T20:08:31.6454489Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-26T20:08:31.6454600Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-26T20:08:31.6454703Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-26T20:08:31.6454809Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-26T20:08:31.6454921Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-26T20:08:31.6455227Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-26T20:08:31.6455355Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-26T20:08:31.6455591Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-26T20:08:31.6456843Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-26T20:08:31.6456985Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-26T20:08:31.6457572Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-26T20:08:31.6460537Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-26T20:08:31.6460844Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-26T20:08:31.6461010Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-26T20:08:31.6461119Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-26T20:08:31.6461234Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-26T20:08:31.6461496Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-26T20:08:31.6461801Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-26T20:08:31.6461925Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-26T20:08:31.6463109Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-26T20:08:31.6463246Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-26T20:08:31.6466125Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-26T20:08:31.6466289Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-26T20:08:31.6466565Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-26T20:08:31.6466682Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-26T20:08:31.6466806Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-26T20:08:31.6467085Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-26T20:08:31.6467216Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-26T20:08:31.6468810Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-26T20:08:31.6469129Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-26T20:08:31.6469267Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-26T20:08:31.6469536Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-26T20:08:31.6469977Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-26T20:08:31.6470605Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-26T20:08:31.6470970Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-26T20:08:31.6471773Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-26T20:08:31.6471986Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-26T20:08:31.6475452Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-26T20:08:31.6475770Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-26T20:08:31.6475911Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-26T20:08:31.6476108Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-26T20:08:31.6476238Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-26T20:08:31.6476358Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-26T20:08:31.6476507Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-26T20:08:31.6476822Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-26T20:08:31.6477291Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-26T20:08:31.6477807Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-26T20:08:31.6478647Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-26T20:08:31.6479041Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-26T20:08:31.6482297Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-26T20:08:31.6482621Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-26T20:08:31.6482769Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-26T20:08:31.6482890Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-26T20:08:31.6482998Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-26T20:08:31.6483271Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-26T20:08:31.6483976Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-26T20:08:31.6484144Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-26T20:08:31.6487696Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-26T20:08:31.6487858Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-26T20:08:31.6487994Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-26T20:08:31.6488105Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-26T20:08:31.6488219Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-26T20:08:31.6488325Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-26T20:08:31.6488717Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-26T20:08:31.6489084Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-26T20:08:31.6490199Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-26T20:08:31.6490327Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-26T20:08:31.6491274Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-26T20:08:31.6491551Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-26T20:08:31.6491872Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-26T20:08:31.6492908Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-26T20:08:31.6493031Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-26T20:08:31.6496171Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-26T20:08:31.6496488Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-26T20:08:31.6496630Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-26T20:08:31.6496761Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-26T20:08:31.6497008Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-26T20:08:31.6497136Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-26T20:08:31.6498168Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-26T20:08:31.6498301Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-26T20:08:31.6501046Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-26T20:08:31.6501356Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-26T20:08:31.6501499Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-26T20:08:31.6501611Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-26T20:08:31.6501850Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-26T20:08:31.6502147Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-26T20:08:31.6503492Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-26T20:08:31.6504194Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-26T20:08:31.6504501Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-26T20:08:31.6504641Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-26T20:08:31.6505176Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-26T20:08:31.6507309Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-26T20:08:31.6507774Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-26T20:08:31.6507906Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-26T20:08:31.6512884Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-26T20:08:31.6513179Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-26T20:08:31.6513487Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-26T20:08:31.6513599Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-26T20:08:31.6513710Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-26T20:08:31.6513812Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-26T20:08:31.6514078Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-26T20:08:31.6514471Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-26T20:08:31.6515210Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-26T20:08:31.6518244Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-26T20:08:31.6518539Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-26T20:08:31.6518682Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-26T20:08:31.6519017Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-26T20:08:31.6519139Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-26T20:08:31.6519381Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-26T20:08:31.6520115Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-26T20:08:31.6520280Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-26T20:08:31.6520763Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-26T20:08:31.6521093Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-26T20:08:31.6522200Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-26T20:08:31.6522329Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-26T20:08:31.6526325Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-26T20:08:31.6526655Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-26T20:08:31.6526797Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-26T20:08:31.6526915Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-26T20:08:31.6527020Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-26T20:08:31.6527134Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-26T20:08:31.6527246Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-26T20:08:31.6527507Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-26T20:08:31.6527633Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-26T20:08:31.6528116Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-26T20:08:31.6529370Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-26T20:08:31.6530057Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-26T20:08:31.6530478Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-26T20:08:31.6531003Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-26T20:08:31.6531458Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-26T20:08:31.6531945Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-26T20:08:31.6532824Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-26T20:08:31.6533337Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-26T20:08:31.6538318Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-26T20:08:31.6538479Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-26T20:08:31.6538599Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-26T20:08:31.6538715Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-26T20:08:31.6538839Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-26T20:08:31.6538954Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-26T20:08:31.6539060Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-26T20:08:31.6539166Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-26T20:08:31.6539311Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-26T20:08:31.6539419Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-26T20:08:31.6540208Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-26T20:08:31.6540337Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-26T20:08:31.6540451Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-26T20:08:31.6543542Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-26T20:08:31.6544008Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-26T20:08:31.6544273Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-26T20:08:31.6544406Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-26T20:08:31.6545078Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-26T20:08:31.6545222Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-26T20:08:31.6545364Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-26T20:08:31.6545678Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-26T20:08:31.6548947Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-26T20:08:31.6549253Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-26T20:08:31.6549396Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-26T20:08:31.6549578Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-26T20:08:31.6549690Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-26T20:08:31.6549938Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-26T20:08:31.6550059Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-26T20:08:31.6551417Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-26T20:08:31.6551734Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-26T20:08:31.6551888Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-26T20:08:31.6552375Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-26T20:08:31.6553964Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-26T20:08:31.6554265Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-26T20:08:31.6554402Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-26T20:08:31.6555779Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-26T20:08:31.6556081Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-26T20:08:31.6556209Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-26T20:08:31.6562833Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-26T20:08:31.6563179Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-26T20:08:31.6563303Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-26T20:08:31.6563406Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-26T20:08:31.6563521Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-26T20:08:31.6563790Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-26T20:08:31.6564026Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-26T20:08:31.6564138Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-26T20:08:31.6564366Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-26T20:08:31.6564528Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-26T20:08:31.6564629Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-26T20:08:31.6564750Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-26T20:08:31.6564851Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-26T20:08:31.6566425Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-26T20:08:31.6566714Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-26T20:08:31.6566852Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-26T20:08:31.6567308Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-26T20:08:31.6569224Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-26T20:08:31.6569374Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-26T20:08:31.6569798Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-26T20:08:31.6570374Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-26T20:08:31.6571188Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-26T20:08:31.6571673Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-26T20:08:31.6576136Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-26T20:08:31.6576441Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-26T20:08:31.6576587Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-26T20:08:31.6576786Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-26T20:08:31.6577060Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-26T20:08:31.6577747Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-26T20:08:31.6577894Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-26T20:08:31.6578022Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-26T20:08:31.6578137Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-26T20:08:31.6578410Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-26T20:08:31.6578790Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-26T20:08:31.6579794Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-26T20:08:31.6580094Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-26T20:08:31.6582847Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-26T20:08:31.6582987Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-26T20:08:31.6583154Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-26T20:08:31.6583280Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-26T20:08:31.6583542Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-26T20:08:31.6583750Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-26T20:08:31.7069719Z [command]/usr/bin/git rev-parse --verify --quiet 262640fd220236042fbf4443cc163c8838c84c3d^{object}
2025-08-26T20:08:31.7093753Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:31.7098151Z ##[endgroup]
2025-08-26T20:08:31.7098573Z ##[group]Determining the checkout info
2025-08-26T20:08:31.7099371Z ##[endgroup]
2025-08-26T20:08:31.7102537Z [command]/usr/bin/git sparse-checkout disable
2025-08-26T20:08:31.7148104Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-26T20:08:31.7173699Z ##[group]Checking out the ref
2025-08-26T20:08:31.7178731Z [command]/usr/bin/git checkout --progress --force 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:08:32.7440335Z Updating files:  99% (19289/19395)
2025-08-26T20:08:32.7442960Z Updating files: 100% (19395/19395)
2025-08-26T20:08:32.7443764Z Updating files: 100% (19395/19395), done.
2025-08-26T20:08:32.7679312Z Note: switching to '262640fd220236042fbf4443cc163c8838c84c3d'.
2025-08-26T20:08:32.7679774Z 
2025-08-26T20:08:32.7680048Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-26T20:08:32.7680411Z changes and commit them, and you can discard any commits you make in this
2025-08-26T20:08:32.7680913Z state without impacting any branches by switching back to a branch.
2025-08-26T20:08:32.7681534Z 
2025-08-26T20:08:32.7682108Z If you want to create a new branch to retain commits you create, you may
2025-08-26T20:08:32.7682675Z do so (now or later) by using -c with the switch command. Example:
2025-08-26T20:08:32.7683244Z 
2025-08-26T20:08:32.7683543Z   git switch -c <new-branch-name>
2025-08-26T20:08:32.7683701Z 
2025-08-26T20:08:32.7684114Z Or undo this operation with:
2025-08-26T20:08:32.7684251Z 
2025-08-26T20:08:32.7684333Z   git switch -
2025-08-26T20:08:32.7684433Z 
2025-08-26T20:08:32.7684602Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-26T20:08:32.7684828Z 
2025-08-26T20:08:32.7684981Z HEAD is now at 262640fd220 [ROCm][CI] restore test_flex_attention tests (#161519)
2025-08-26T20:08:32.7729040Z ##[endgroup]
2025-08-26T20:08:32.7729454Z ##[group]Setting up auth for fetching submodules
2025-08-26T20:08:32.7729946Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-26T20:08:32.7790303Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-26T20:08:32.7832592Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-26T20:08:32.7858597Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-26T20:08:32.7887845Z ##[endgroup]
2025-08-26T20:08:32.7888192Z ##[group]Fetching submodules
2025-08-26T20:08:32.7888502Z [command]/usr/bin/git submodule sync --recursive
2025-08-26T20:08:32.8218563Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-26T20:08:32.8907570Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-26T20:08:32.8908282Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-26T20:08:32.8911017Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-26T20:08:32.8911843Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-26T20:08:32.8914980Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-26T20:08:32.8916035Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-26T20:08:32.8918186Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-26T20:08:32.8942821Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-26T20:08:32.8943551Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-26T20:08:32.8944605Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-26T20:08:32.8945236Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-26T20:08:32.8953136Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-26T20:08:32.8955340Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-26T20:08:32.8978837Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-26T20:08:32.8979601Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2025-08-26T20:08:32.8980760Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention'
2025-08-26T20:08:32.8981626Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-26T20:08:32.8988163Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-26T20:08:32.8994019Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:08:32.8994676Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-26T20:08:32.9008604Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-26T20:08:32.9009848Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-26T20:08:32.9012988Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-26T20:08:32.9024172Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-26T20:08:32.9029724Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
2025-08-26T20:08:32.9035126Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc'
2025-08-26T20:08:32.9044254Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2025-08-26T20:08:32.9047929Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-26T20:08:32.9049961Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
2025-08-26T20:08:32.9050669Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2025-08-26T20:08:32.9052870Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2025-08-26T20:08:32.9059139Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-26T20:08:32.9062368Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2025-08-26T20:08:32.9074467Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2025-08-26T20:08:32.9078521Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2025-08-26T20:08:32.9083299Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-26T20:08:32.9087469Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-26T20:08:32.9123261Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-26T20:08:33.1517531Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-26T20:08:33.1518108Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-26T20:08:33.1518577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-26T20:08:33.1547327Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'...
2025-08-26T20:08:33.4413383Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'...
2025-08-26T20:08:33.4413993Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2025-08-26T20:08:33.4414457Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-08-26T20:08:33.4414996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'...
2025-08-26T20:08:33.4415559Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-08-26T20:08:33.4416300Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-08-26T20:08:33.4416806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-08-26T20:08:33.4417314Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'...
2025-08-26T20:08:33.4417869Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-08-26T20:08:33.4418390Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-08-26T20:08:33.5414968Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-08-26T20:08:35.0680973Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-08-26T20:08:35.0681815Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-08-26T20:08:35.0682581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-08-26T20:08:35.0683410Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-08-26T20:08:35.0684125Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-26T20:08:35.0684868Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-08-26T20:08:35.0685592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-08-26T20:08:35.0686309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-08-26T20:08:35.0687077Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-08-26T20:08:35.1121445Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-08-26T20:08:47.2980001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-08-26T20:08:47.2980555Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-26T20:08:47.2980981Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-26T20:08:47.2981380Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-26T20:08:47.2981775Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-26T20:08:47.2982484Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
2025-08-26T20:08:47.2982918Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'...
2025-08-26T20:08:47.2983356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'...
2025-08-26T20:08:47.2983780Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
2025-08-26T20:08:47.2984199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'...
2025-08-26T20:08:47.2984608Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'...
2025-08-26T20:08:47.3123525Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-26T20:08:47.3243765Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-26T20:08:47.3332013Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-26T20:08:47.3547900Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-26T20:08:47.4210996Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-26T20:08:47.4632418Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-26T20:08:48.0168753Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-26T20:08:48.1495959Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-26T20:08:48.1519985Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:08:48.1544046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'...
2025-08-26T20:08:52.1981145Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-26T20:08:52.2192282Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-26T20:08:52.4795244Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-26T20:08:52.5257287Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-26T20:08:52.6153707Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-26T20:08:52.6559941Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-26T20:08:53.1966505Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-26T20:08:53.3234753Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-26T20:08:53.3252092Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-26T20:08:53.3253228Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:08:53.3257402Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:08:53.3258187Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-26T20:08:53.3261789Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-26T20:08:53.3262626Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:08:53.3265399Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-26T20:08:53.3293584Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-26T20:08:54.4847225Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-26T20:08:54.4848740Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-26T20:08:54.4849336Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-26T20:08:54.5720525Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-26T20:08:54.6716930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-26T20:08:55.6750969Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-26T20:09:00.1249497Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-26T20:09:00.6249234Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-26T20:09:00.7178258Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-26T20:09:01.2519378Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-26T20:09:01.2963981Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T20:09:01.3084999Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-26T20:09:01.4077502Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-26T20:09:01.4674873Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-26T20:09:01.4690935Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:01.4691783Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:01.4727143Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-26T20:09:05.2513046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-26T20:09:05.4399504Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-26T20:09:05.9185154Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-26T20:09:06.0371706Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-26T20:09:06.0697388Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-26T20:09:06.1066497Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-26T20:09:06.1292121Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-26T20:09:06.1703413Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-26T20:09:06.1833468Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-26T20:09:06.1850389Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:06.1878001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-26T20:09:18.3303435Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-26T20:09:18.3484888Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-26T20:09:18.4338109Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-26T20:09:18.4361068Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:18.4366852Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:18.4369221Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:18.4387056Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-26T20:09:19.1053288Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-26T20:09:19.7327413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-26T20:09:19.8051288Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-26T20:09:19.8068357Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:19.8074338Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:19.8076611Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:19.8077605Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:19.8080949Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:19.8081752Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:19.8085172Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:19.8089452Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:19.8106240Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-26T20:09:21.1941356Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-26T20:09:21.1942441Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-26T20:09:21.1943425Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-26T20:09:21.1944547Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-26T20:09:21.1945284Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-26T20:09:21.1946009Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-26T20:09:21.2943168Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-26T20:09:26.6384900Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-26T20:09:26.6547356Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-26T20:09:26.6882732Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-26T20:09:26.7014352Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-26T20:09:26.7030813Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:26.7058001Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-26T20:09:27.1896320Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-26T20:09:27.2080767Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-26T20:09:27.2469614Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-26T20:09:27.3410753Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-26T20:09:27.3577005Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-26T20:09:27.3943142Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-26T20:09:27.5643333Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-26T20:09:27.6056250Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-26T20:09:27.6421154Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-26T20:09:27.7448175Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-26T20:09:28.0501361Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-26T20:09:28.0538284Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:28.0565577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-26T20:09:29.0892096Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-26T20:09:29.1454604Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-26T20:09:29.1472692Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:29.1475096Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:29.1480359Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:29.1482660Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:29.1484080Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:29.1485650Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:29.1486621Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:29.1487377Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:29.1516797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-26T20:09:29.5579458Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-26T20:09:29.5580214Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-26T20:09:29.5580915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-26T20:09:29.5581575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-26T20:09:29.6581378Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-26T20:09:30.1897357Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-26T20:09:37.0683411Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-26T20:09:37.5854090Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-26T20:09:37.6217751Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-26T20:09:37.6380441Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-26T20:09:37.7302904Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-26T20:09:37.7442678Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-26T20:09:37.7573857Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-26T20:09:37.7716705Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-26T20:09:37.7730415Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:37.7732287Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:37.7762404Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-26T20:09:39.4022368Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-26T20:09:39.6323927Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-26T20:09:39.6747467Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-26T20:09:40.0165372Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-26T20:09:40.0285784Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-26T20:09:40.2633253Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-26T20:09:40.2657706Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:40.2659344Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:40.2688739Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-26T20:09:40.9154096Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-26T20:09:41.2251804Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-26T20:09:41.2933112Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-26T20:09:41.3033143Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-26T20:09:41.3158961Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-26T20:09:41.3502514Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-08-26T20:09:41.3763633Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-26T20:09:41.4139362Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-26T20:09:41.4363209Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-08-26T20:09:41.4378119Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:41.4381290Z Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:41.4382041Z Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:41.4382664Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:41.4410428Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/googletest'...
2025-08-26T20:09:42.3793476Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libnop'...
2025-08-26T20:09:42.3794177Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11'...
2025-08-26T20:09:42.4796799Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/libuv'...
2025-08-26T20:09:42.6840261Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-26T20:09:42.6993950Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-26T20:09:42.7688161Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-26T20:09:42.7966935Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-26T20:09:42.7986739Z Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:42.8013328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe/third_party/pybind11/tools/clang'...
2025-08-26T20:09:43.0191337Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-26T20:09:43.0236095Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2025-08-26T20:09:43.3328655Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-08-26T20:09:43.4046535Z ##[endgroup]
2025-08-26T20:09:43.4047845Z ##[group]Persisting credentials for submodules
2025-08-26T20:09:43.4052050Z [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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2025-08-26T20:09:43.4721582Z Entering 'third_party/XNNPACK'
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2025-08-26T20:09:43.6534721Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:43.6587298Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:43.6643039Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:43.6708035Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-08-26T20:09:43.6876657Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:43.6936646Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
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2025-08-26T20:09:43.7101960Z Entering 'third_party/kleidiai'
2025-08-26T20:09:43.7165316Z Entering 'third_party/mimalloc'
2025-08-26T20:09:43.7224280Z Entering 'third_party/nlohmann'
2025-08-26T20:09:43.7282605Z Entering 'third_party/onnx'
2025-08-26T20:09:43.7353243Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:43.7409028Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:43.7468181Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:43.7522636Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:43.7578735Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:43.7635320Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:43.7693423Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:43.7749176Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:43.7800602Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:43.7854355Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:43.7915616Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:43.7978704Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
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2025-08-26T20:09:43.8169025Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:43.8223114Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:43.8286901Z Entering 'third_party/psimd'
2025-08-26T20:09:43.8344988Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:43.8400224Z Entering 'third_party/pybind11'
2025-08-26T20:09:43.8454434Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:43.8508481Z Entering 'third_party/sleef'
2025-08-26T20:09:43.8569634Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:43.8624855Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:43.8685378Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:43.8739767Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:43.8799256Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:43.8850722Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:43.8939318Z [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"
2025-08-26T20:09:43.9254926Z Entering 'android/libs/fbjni'
2025-08-26T20:09:43.9304595Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-26T20:09:43.9320564Z Entering 'third_party/FP16'
2025-08-26T20:09:43.9374191Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-26T20:09:43.9388852Z Entering 'third_party/FXdiv'
2025-08-26T20:09:43.9442630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-26T20:09:43.9461495Z Entering 'third_party/NNPACK'
2025-08-26T20:09:43.9507411Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-26T20:09:43.9527090Z Entering 'third_party/NVTX'
2025-08-26T20:09:43.9577621Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-26T20:09:43.9599349Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:43.9649042Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-26T20:09:43.9668886Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:43.9714040Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-26T20:09:43.9746708Z Entering 'third_party/aiter'
2025-08-26T20:09:43.9795395Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-26T20:09:43.9816080Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:43.9861998Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-26T20:09:43.9886024Z Entering 'third_party/benchmark'
2025-08-26T20:09:43.9941445Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-26T20:09:43.9960683Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:44.0010060Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-26T20:09:44.0034350Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:44.0085820Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-26T20:09:44.0100437Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:44.0154806Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-26T20:09:44.0175185Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:44.0223913Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-26T20:09:44.0243904Z Entering 'third_party/cutlass'
2025-08-26T20:09:44.0295530Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-26T20:09:44.0322367Z Entering 'third_party/fbgemm'
2025-08-26T20:09:44.0376783Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-26T20:09:44.0395829Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:44.0447824Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-26T20:09:44.0464872Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:44.0515030Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-26T20:09:44.0533335Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:44.0583981Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-26T20:09:44.0601860Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:44.0651272Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-26T20:09:44.0678211Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:44.0728780Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-26T20:09:44.0741089Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:44.0794896Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-08-26T20:09:44.0817070Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:44.0862382Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-08-26T20:09:44.0887178Z Entering 'third_party/flash-attention'
2025-08-26T20:09:44.0938665Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-08-26T20:09:44.0957882Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:44.1004689Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-08-26T20:09:44.1030913Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:44.1075465Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-08-26T20:09:44.1100121Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:44.1155413Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-08-26T20:09:44.1171403Z Entering 'third_party/fmt'
2025-08-26T20:09:44.1223032Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-08-26T20:09:44.1238509Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:44.1289555Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-08-26T20:09:44.1304151Z Entering 'third_party/gloo'
2025-08-26T20:09:44.1359160Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-08-26T20:09:44.1374317Z Entering 'third_party/googletest'
2025-08-26T20:09:44.1430057Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-08-26T20:09:44.1449064Z Entering 'third_party/ideep'
2025-08-26T20:09:44.1499419Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-08-26T20:09:44.1521516Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:44.1569197Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-08-26T20:09:44.1595370Z Entering 'third_party/ittapi'
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2025-08-26T20:09:45.0056597Z Entering 'third_party/NNPACK'
2025-08-26T20:09:45.0100411Z Entering 'third_party/NVTX'
2025-08-26T20:09:45.0147694Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-26T20:09:45.0191286Z Entering 'third_party/XNNPACK'
2025-08-26T20:09:45.0247424Z Entering 'third_party/aiter'
2025-08-26T20:09:45.0289635Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-26T20:09:45.0340453Z Entering 'third_party/benchmark'
2025-08-26T20:09:45.0379504Z Entering 'third_party/composable_kernel'
2025-08-26T20:09:45.0429933Z Entering 'third_party/cpp-httplib'
2025-08-26T20:09:45.0478837Z Entering 'third_party/cpuinfo'
2025-08-26T20:09:45.0520984Z Entering 'third_party/cudnn_frontend'
2025-08-26T20:09:45.0570699Z Entering 'third_party/cutlass'
2025-08-26T20:09:45.0615513Z Entering 'third_party/fbgemm'
2025-08-26T20:09:45.0658303Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-26T20:09:45.0697637Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-26T20:09:45.0751081Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-26T20:09:45.0791385Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-26T20:09:45.0844056Z Entering 'third_party/fbgemm/external/googletest'
2025-08-26T20:09:45.0891587Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-26T20:09:45.0931905Z Entering 'third_party/fbgemm/external/json'
2025-08-26T20:09:45.0982537Z Entering 'third_party/flash-attention'
2025-08-26T20:09:45.1024586Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-26T20:09:45.1075500Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-26T20:09:45.1126687Z Entering 'third_party/flatbuffers'
2025-08-26T20:09:45.1172118Z Entering 'third_party/fmt'
2025-08-26T20:09:45.1218569Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-26T20:09:45.1262305Z Entering 'third_party/gloo'
2025-08-26T20:09:45.1303009Z Entering 'third_party/googletest'
2025-08-26T20:09:45.1346678Z Entering 'third_party/ideep'
2025-08-26T20:09:45.1387821Z Entering 'third_party/ideep/mkl-dnn'
2025-08-26T20:09:45.1435285Z Entering 'third_party/ittapi'
2025-08-26T20:09:45.1482354Z Entering 'third_party/kineto'
2025-08-26T20:09:45.1522500Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-26T20:09:45.1562870Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-26T20:09:45.1605504Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-26T20:09:45.1652858Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-26T20:09:45.1696946Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-26T20:09:45.1738546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-26T20:09:45.1784338Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-26T20:09:45.1826792Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-26T20:09:45.1874970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-26T20:09:45.1917672Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-26T20:09:45.1963404Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-26T20:09:45.2002092Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-26T20:09:45.2050366Z Entering 'third_party/kleidiai'
2025-08-26T20:09:45.2092542Z Entering 'third_party/mimalloc'
2025-08-26T20:09:45.2133165Z Entering 'third_party/nlohmann'
2025-08-26T20:09:45.2181863Z Entering 'third_party/onnx'
2025-08-26T20:09:45.2252995Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-26T20:09:45.2296786Z Entering 'third_party/opentelemetry-cpp'
2025-08-26T20:09:45.2344326Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-26T20:09:45.2387268Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-26T20:09:45.2427652Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-26T20:09:45.2473953Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-26T20:09:45.2518517Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T20:09:45.2557789Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T20:09:45.2595953Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-26T20:09:45.2636458Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-26T20:09:45.2682944Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-26T20:09:45.2729559Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-26T20:09:45.2788677Z Entering 'third_party/pocketfft'
2025-08-26T20:09:45.2835300Z Entering 'third_party/protobuf'
2025-08-26T20:09:45.2879678Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-26T20:09:45.2923554Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-26T20:09:45.2969378Z Entering 'third_party/psimd'
2025-08-26T20:09:45.3012037Z Entering 'third_party/pthreadpool'
2025-08-26T20:09:45.3060751Z Entering 'third_party/pybind11'
2025-08-26T20:09:45.3100877Z Entering 'third_party/python-peachpy'
2025-08-26T20:09:45.3151770Z Entering 'third_party/sleef'
2025-08-26T20:09:45.3186964Z Entering 'third_party/tensorpipe'
2025-08-26T20:09:45.3224777Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-26T20:09:45.3273203Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-26T20:09:45.3308687Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T20:09:45.3346811Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T20:09:45.3385960Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T20:09:45.3445769Z ##[endgroup]
2025-08-26T20:09:45.3480180Z [command]/usr/bin/git log -1 --format=%H
2025-08-26T20:09:45.3501981Z 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:09:45.3681408Z Prepare all required actions
2025-08-26T20:09:45.3682006Z Getting action download info
2025-08-26T20:09:45.5089456Z ##[group]Run ./.github/actions/setup-linux
2025-08-26T20:09:45.5089848Z env:
2025-08-26T20:09:45.5090038Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:45.5090235Z ##[endgroup]
2025-08-26T20:09:45.5147409Z ##[group]Run set -euo pipefail
2025-08-26T20:09:45.5147698Z set -euo pipefail
2025-08-26T20:09:45.5147922Z function get_ec2_metadata() {
2025-08-26T20:09:45.5148193Z   # Pulled from instance metadata endpoint for EC2
2025-08-26T20:09:45.5148627Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-26T20:09:45.5149003Z   category=$1
2025-08-26T20:09:45.5149263Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-26T20:09:45.5149557Z   runner_name_str=i-01396842c8dc9f563
2025-08-26T20:09:45.5149874Z   if [[ -f /.inarc ]]; then
2025-08-26T20:09:45.5150129Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-26T20:09:45.5150395Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-26T20:09:45.5150725Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-26T20:09:45.5151009Z   else
2025-08-26T20:09:45.5151567Z     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}"
2025-08-26T20:09:45.5152125Z   fi
2025-08-26T20:09:45.5152291Z }
2025-08-26T20:09:45.5152497Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-26T20:09:45.5152798Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-26T20:09:45.5153121Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-26T20:09:45.5153402Z echo "system info $(uname -a)"
2025-08-26T20:09:45.5161147Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:45.5161398Z env:
2025-08-26T20:09:45.5161574Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:45.5161753Z ##[endgroup]
2025-08-26T20:09:45.5312296Z ami-id: ami-05ffe3c48a9991133
2025-08-26T20:09:45.5413628Z instance-id: i-01396842c8dc9f563
2025-08-26T20:09:45.5515090Z instance-type: m7i-flex.8xlarge
2025-08-26T20:09:45.5529076Z system info Linux ip-10-0-55-38.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-26T20:09:45.5553785Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:09:45.5554377Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:09:45.5559761Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:45.5560027Z env:
2025-08-26T20:09:45.5560196Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:45.5560389Z ##[endgroup]
2025-08-26T20:09:45.5610498Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-26T20:09:45.5610847Z if systemctl is-active --quiet docker; then
2025-08-26T20:09:45.5611140Z     echo "Docker daemon is running...";
2025-08-26T20:09:45.5611386Z else
2025-08-26T20:09:45.5611657Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-26T20:09:45.5611965Z fi
2025-08-26T20:09:45.5616914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:45.5617195Z env:
2025-08-26T20:09:45.5617368Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:45.5617574Z ##[endgroup]
2025-08-26T20:09:45.5760394Z Docker daemon is running...
2025-08-26T20:09:45.5798526Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:09:45.5798775Z with:
2025-08-26T20:09:45.5798938Z   shell: bash
2025-08-26T20:09:45.5799269Z   timeout_minutes: 5
2025-08-26T20:09:45.5799465Z   max_attempts: 3
2025-08-26T20:09:45.5799657Z   retry_wait_seconds: 30
2025-08-26T20:09:45.5801214Z   command: AWS_ACCOUNT_ID=$(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

2025-08-26T20:09:45.5802620Z   polling_interval_seconds: 1
2025-08-26T20:09:45.5802841Z   warning_on_retry: true
2025-08-26T20:09:45.5803041Z   continue_on_error: false
2025-08-26T20:09:45.5803234Z env:
2025-08-26T20:09:45.5803412Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:45.5803617Z   AWS_RETRY_MODE: standard
2025-08-26T20:09:45.5803811Z   AWS_MAX_ATTEMPTS: 5
2025-08-26T20:09:45.5804006Z   AWS_DEFAULT_REGION: us-east-1
2025-08-26T20:09:45.5804221Z ##[endgroup]
2025-08-26T20:09:46.6598496Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:46.6598919Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:46.6599306Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:46.6599538Z 
2025-08-26T20:09:46.6599616Z Login Succeeded
2025-08-26T20:09:46.7084918Z Command completed after 1 attempt(s).
2025-08-26T20:09:46.7137038Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:46.7137432Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:46.7137752Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:09:46.7142853Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:46.7143115Z env:
2025-08-26T20:09:46.7143289Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:46.7143506Z ##[endgroup]
2025-08-26T20:09:46.7227887Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:09:46.7228321Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T20:09:46.7228636Z # shellcheck disable=SC2046
2025-08-26T20:09:46.7228889Z docker stop $(docker ps -q) || true
2025-08-26T20:09:46.7229141Z # Prune all of the docker images
2025-08-26T20:09:46.7229396Z docker system prune -af
2025-08-26T20:09:46.7234285Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:46.7234558Z env:
2025-08-26T20:09:46.7234738Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:46.7234949Z ##[endgroup]
2025-08-26T20:09:46.7726721Z "docker stop" requires at least 1 argument.
2025-08-26T20:09:46.7727089Z See 'docker stop --help'.
2025-08-26T20:09:46.7727264Z 
2025-08-26T20:09:46.7727411Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-26T20:09:46.7727609Z 
2025-08-26T20:09:46.7727702Z Stop one or more running containers
2025-08-26T20:09:46.7921831Z Total reclaimed space: 0B
2025-08-26T20:09:46.7961864Z ##[group]Run set +e
2025-08-26T20:09:46.7962099Z set +e
2025-08-26T20:09:46.7962282Z set -x
2025-08-26T20:09:46.7962454Z 
2025-08-26T20:09:46.7962649Z PT_DOMAIN=download.pytorch.org
2025-08-26T20:09:46.7963038Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-26T20:09:46.7963516Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-26T20:09:46.7963868Z # one is returned at random
2025-08-26T20:09:46.7964153Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-26T20:09:46.7964407Z 
2025-08-26T20:09:46.7964722Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:09:46.7965028Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-26T20:09:46.7965502Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-26T20:09:46.7965768Z 
2025-08-26T20:09:46.7965944Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-26T20:09:46.7966215Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-26T20:09:46.7966465Z     exit 1
2025-08-26T20:09:46.7966643Z   fi
2025-08-26T20:09:46.7966804Z fi
2025-08-26T20:09:46.7966968Z 
2025-08-26T20:09:46.7967163Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-26T20:09:46.7967424Z   # Clean up any old records first
2025-08-26T20:09:46.7967672Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-26T20:09:46.7967901Z fi
2025-08-26T20:09:46.7968060Z 
2025-08-26T20:09:46.7968287Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-26T20:09:46.7968551Z cat /etc/hosts
2025-08-26T20:09:46.7973614Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:46.7973909Z env:
2025-08-26T20:09:46.7974090Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:46.7974288Z ##[endgroup]
2025-08-26T20:09:46.7998354Z + PT_DOMAIN=download.pytorch.org
2025-08-26T20:09:46.8004344Z ++ dig -4 +short download.pytorch.org
2025-08-26T20:09:46.8004630Z ++ tail -n1
2025-08-26T20:09:46.8339730Z + RESOLVED_IP=18.160.10.76
2025-08-26T20:09:46.8340037Z + '[' -z 18.160.10.76 ']'
2025-08-26T20:09:46.8340297Z + grep -r download.pytorch.org /etc/hosts
2025-08-26T20:09:46.8356560Z + sudo tee -a /etc/hosts
2025-08-26T20:09:46.8356839Z + echo '18.160.10.76 download.pytorch.org'
2025-08-26T20:09:47.1085480Z 18.160.10.76 download.pytorch.org
2025-08-26T20:09:47.1100552Z + cat /etc/hosts
2025-08-26T20:09:47.1111980Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-26T20:09:47.1118342Z ::1         localhost6 localhost6.localdomain6
2025-08-26T20:09:47.1118629Z 18.160.10.76 download.pytorch.org
2025-08-26T20:09:47.1228418Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-26T20:09:47.1228746Z with:
2025-08-26T20:09:47.1229278Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1229856Z   use-custom-docker-registry: true
2025-08-26T20:09:47.1230075Z   docker-build-dir: .ci/docker
2025-08-26T20:09:47.1230309Z   docker-build-script: ./build.sh
2025-08-26T20:09:47.1230548Z   working-directory: .
2025-08-26T20:09:47.1230786Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:47.1231046Z   force-push: false
2025-08-26T20:09:47.1231210Z env:
2025-08-26T20:09:47.1231360Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:47.1231572Z ##[endgroup]
2025-08-26T20:09:47.1253307Z ##[group]Run set -ex
2025-08-26T20:09:47.1253562Z set -ex
2025-08-26T20:09:47.1253744Z 
2025-08-26T20:09:47.1254081Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-26T20:09:47.1254528Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-26T20:09:47.1254900Z # job could then download the pre-built image as usual
2025-08-26T20:09:47.1255349Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-26T20:09:47.1255768Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1256006Z else
2025-08-26T20:09:47.1256210Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1256514Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1256790Z 
2025-08-26T20:09:47.1257167Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-26T20:09:47.1257573Z   exit 0
2025-08-26T20:09:47.1257852Z fi
2025-08-26T20:09:47.1258014Z 
2025-08-26T20:09:47.1258260Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-26T20:09:47.1258647Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-26T20:09:47.1259005Z   # use it as it is, but first let's extract the tag
2025-08-26T20:09:47.1259325Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-26T20:09:47.1259669Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1259994Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1260264Z else
2025-08-26T20:09:47.1260468Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-26T20:09:47.1260730Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-26T20:09:47.1261009Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-26T20:09:47.1261245Z   fi
2025-08-26T20:09:47.1261552Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-26T20:09:47.1261942Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1262360Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1262766Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1263027Z fi
2025-08-26T20:09:47.1271458Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:47.1271712Z env:
2025-08-26T20:09:47.1271877Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:47.1272066Z   REPO_NAME: pytorch
2025-08-26T20:09:47.1272689Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1273247Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:09:47.1273451Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-26T20:09:47.1273707Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:47.1273967Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-26T20:09:47.1274159Z   CUSTOM_TAG_PREFIX: 
2025-08-26T20:09:47.1274332Z ##[endgroup]
2025-08-26T20:09:47.1298717Z + [[ -d .ci/docker ]]
2025-08-26T20:09:47.1298979Z + [[ -f .ci/docker/./build.sh ]]
2025-08-26T20:09:47.1299197Z + [[ true == \t\r\u\e ]]
2025-08-26T20:09:47.1299397Z + echo skip=false
2025-08-26T20:09:47.1300135Z + [[ 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* ]]
2025-08-26T20:09:47.1308832Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1313491Z ++ awk -F '[:,]' '{print $2}'
2025-08-26T20:09:47.1330970Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1331821Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1332978Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1358425Z ##[group]Run set +e
2025-08-26T20:09:47.1358654Z set +e
2025-08-26T20:09:47.1358821Z set -x
2025-08-26T20:09:47.1358980Z 
2025-08-26T20:09:47.1359127Z login() {
2025-08-26T20:09:47.1359439Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:09:47.1359772Z }
2025-08-26T20:09:47.1360036Z 
2025-08-26T20:09:47.1360180Z retry () {
2025-08-26T20:09:47.1360371Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:09:47.1360580Z }
2025-08-26T20:09:47.1360731Z 
2025-08-26T20:09:47.1360885Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:09:47.1361083Z 
2025-08-26T20:09:47.1361239Z START_TIME=$(date +%s)
2025-08-26T20:09:47.1361440Z # Wait up to 120 minutes
2025-08-26T20:09:47.1361683Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-26T20:09:47.1361973Z   # Check if image already exists, if it does then skip building it
2025-08-26T20:09:47.1362270Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-26T20:09:47.1362497Z     exit 0
2025-08-26T20:09:47.1362654Z   fi
2025-08-26T20:09:47.1362795Z 
2025-08-26T20:09:47.1363037Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-26T20:09:47.1363420Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-26T20:09:47.1363800Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-26T20:09:47.1364110Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-26T20:09:47.1364355Z     # It's a Docker build job, let's build the image
2025-08-26T20:09:47.1364569Z     break
2025-08-26T20:09:47.1364726Z   else
2025-08-26T20:09:47.1364945Z     # It's a regular build job, wait for the image to become available
2025-08-26T20:09:47.1365185Z     sleep 300
2025-08-26T20:09:47.1365353Z   fi
2025-08-26T20:09:47.1365501Z done
2025-08-26T20:09:47.1365645Z 
2025-08-26T20:09:47.1365861Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-26T20:09:47.1366275Z # be empty.  The default action would be to continue rebuild the image
2025-08-26T20:09:47.1366592Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-26T20:09:47.1366871Z   # if we're on the base branch then use the parent commit
2025-08-26T20:09:47.1367126Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-26T20:09:47.1367323Z else
2025-08-26T20:09:47.1367543Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-26T20:09:47.1367841Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-26T20:09:47.1368073Z fi
2025-08-26T20:09:47.1368217Z 
2025-08-26T20:09:47.1368383Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-26T20:09:47.1368622Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1368840Z 
2025-08-26T20:09:47.1369125Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-26T20:09:47.1369454Z   exit 0
2025-08-26T20:09:47.1369613Z fi
2025-08-26T20:09:47.1369762Z 
2025-08-26T20:09:47.1369972Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-26T20:09:47.1370367Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-26T20:09:47.1370711Z   exit 1
2025-08-26T20:09:47.1370865Z fi
2025-08-26T20:09:47.1371008Z 
2025-08-26T20:09:47.1371243Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-26T20:09:47.1371644Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-26T20:09:47.1372004Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-26T20:09:47.1372733Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-26T20:09:47.1373307Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-26T20:09:47.1373611Z fi
2025-08-26T20:09:47.1373785Z 
2025-08-26T20:09:47.1373982Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-26T20:09:47.1378800Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:47.1379067Z env:
2025-08-26T20:09:47.1379237Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:47.1379446Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-26T20:09:47.1379697Z   BASE_REVISION: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:09:47.1380327Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1381108Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.1381593Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:47.1381866Z   DOCKER_PUSH: 
2025-08-26T20:09:47.1382041Z ##[endgroup]
2025-08-26T20:09:47.1406222Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:47.1406792Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:47.1408992Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:09:47.1412673Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:47.5837059Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:47.5837458Z Login Succeeded
2025-08-26T20:09:47.5842645Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:47.5843548Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:47.5843846Z 
2025-08-26T20:09:47.5865362Z ++ date +%s
2025-08-26T20:09:47.5873403Z + START_TIME=1756238987
2025-08-26T20:09:47.5878527Z ++ date +%s
2025-08-26T20:09:47.5889267Z + [[ 1756231787 -lt 1756238987 ]]
2025-08-26T20:09:47.5889987Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:47.8461293Z {
2025-08-26T20:09:47.8465616Z 	"schemaVersion": 2,
2025-08-26T20:09:47.8466002Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-26T20:09:47.8466367Z 	"config": {
2025-08-26T20:09:47.8466691Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-26T20:09:47.8467024Z 		"size": 30011,
2025-08-26T20:09:47.8467345Z 		"digest": "sha256:932da535a977ab0b0008738bb22f52295068c34f7c3dedec486c588f4545c297"
2025-08-26T20:09:47.8467715Z 	},
2025-08-26T20:09:47.8467882Z 	"layers": [
2025-08-26T20:09:47.8468113Z 		{
2025-08-26T20:09:47.8468378Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8468700Z 			"size": 30448173,
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2025-08-26T20:09:47.8469446Z 		},
2025-08-26T20:09:47.8469636Z 		{
2025-08-26T20:09:47.8469901Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-08-26T20:09:47.8470816Z 		},
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2025-08-26T20:09:47.8471183Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8471480Z 			"size": 314206045,
2025-08-26T20:09:47.8471785Z 			"digest": "sha256:9c55cec78f8406fa713d2fc186d15d0715894b44b0f44c5405e0b0063a3f0b35"
2025-08-26T20:09:47.8472096Z 		},
2025-08-26T20:09:47.8472241Z 		{
2025-08-26T20:09:47.8472468Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8472740Z 			"size": 791,
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2025-08-26T20:09:47.8473829Z 		},
2025-08-26T20:09:47.8473972Z 		{
2025-08-26T20:09:47.8474194Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8474454Z 			"size": 106,
2025-08-26T20:09:47.8474728Z 			"digest": "sha256:aafdf104ff63b060f0439c67965849e39ee9201be5223ae1f47d0ebb26c3b325"
2025-08-26T20:09:47.8475028Z 		},
2025-08-26T20:09:47.8475168Z 		{
2025-08-26T20:09:47.8475383Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8475646Z 			"size": 703,
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2025-08-26T20:09:47.8476282Z 		},
2025-08-26T20:09:47.8476412Z 		{
2025-08-26T20:09:47.8476628Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8476892Z 			"size": 1218,
2025-08-26T20:09:47.8477170Z 			"digest": "sha256:0f8cef21ed4173eec4d4181571521b7800b00cf43ce0ca11e9c9fe88d35f579a"
2025-08-26T20:09:47.8477460Z 		},
2025-08-26T20:09:47.8477604Z 		{
2025-08-26T20:09:47.8477822Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8478089Z 			"size": 485,
2025-08-26T20:09:47.8478355Z 			"digest": "sha256:23a46894eb0acedf8723b47155c8b47190e9518f68cdacc3b98cbf44adb6d567"
2025-08-26T20:09:47.8478657Z 		},
2025-08-26T20:09:47.8478796Z 		{
2025-08-26T20:09:47.8479015Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8479272Z 			"size": 110343865,
2025-08-26T20:09:47.8479552Z 			"digest": "sha256:71763536b7fe8d33e2a4a8ca5d37e9398128db4909b9df72878dfaa11e5fc01c"
2025-08-26T20:09:47.8479843Z 		},
2025-08-26T20:09:47.8479981Z 		{
2025-08-26T20:09:47.8480190Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8480450Z 			"size": 4788,
2025-08-26T20:09:47.8480733Z 			"digest": "sha256:2d20cafec487317b3f84d0dafee9ba5dfac753ffd39b33da488c28bbe5f49e11"
2025-08-26T20:09:47.8481156Z 		},
2025-08-26T20:09:47.8481289Z 		{
2025-08-26T20:09:47.8481512Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8481842Z 			"size": 1709,
2025-08-26T20:09:47.8482140Z 			"digest": "sha256:24343f5bbf5c9b05649870203050524a23cf8203b02ed938517d81427cfba66f"
2025-08-26T20:09:47.8482423Z 		},
2025-08-26T20:09:47.8482564Z 		{
2025-08-26T20:09:47.8482783Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8483041Z 			"size": 724,
2025-08-26T20:09:47.8483308Z 			"digest": "sha256:13e40e4a2eab659a96b75462cbf452eb8f13dccf5ab0ff09302a846bd5543ddf"
2025-08-26T20:09:47.8483609Z 		},
2025-08-26T20:09:47.8483745Z 		{
2025-08-26T20:09:47.8483959Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8484213Z 			"size": 544,
2025-08-26T20:09:47.8484478Z 			"digest": "sha256:f6116ea55ac16326cfa791b3966b4545df025e8766eff08811885d86b5c7aed3"
2025-08-26T20:09:47.8484771Z 		},
2025-08-26T20:09:47.8484909Z 		{
2025-08-26T20:09:47.8485119Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8485391Z 			"size": 3392839691,
2025-08-26T20:09:47.8485674Z 			"digest": "sha256:734ff9c3d9c1b471933cb23484266c74d0f6f14bca5d0ea678a2af748168df48"
2025-08-26T20:09:47.8485968Z 		},
2025-08-26T20:09:47.8486098Z 		{
2025-08-26T20:09:47.8486313Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8486574Z 			"size": 32,
2025-08-26T20:09:47.8486843Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
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2025-08-26T20:09:47.8544284Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8544563Z 			"size": 380,
2025-08-26T20:09:47.8544846Z 			"digest": "sha256:47eb26c12113434e1c0cf8da7273e9040511b9884eccf4a3dcbea2d5249a023d"
2025-08-26T20:09:47.8545201Z 		},
2025-08-26T20:09:47.8545352Z 		{
2025-08-26T20:09:47.8545655Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8545951Z 			"size": 32,
2025-08-26T20:09:47.8546240Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:47.8546566Z 		},
2025-08-26T20:09:47.8546715Z 		{
2025-08-26T20:09:47.8546944Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8547219Z 			"size": 104,
2025-08-26T20:09:47.8547505Z 			"digest": "sha256:27c4d270ca26645b622a0d54fe5017b1e9885c1fc8798cc40732d4cd3520b3d7"
2025-08-26T20:09:47.8547821Z 		},
2025-08-26T20:09:47.8547974Z 		{
2025-08-26T20:09:47.8548195Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8548475Z 			"size": 407,
2025-08-26T20:09:47.8548775Z 			"digest": "sha256:4bc6ef31bd523602cfd4f80f47fe9cf84cf74986fce29a393c69a2008ee3c78f"
2025-08-26T20:09:47.8549103Z 		},
2025-08-26T20:09:47.8549243Z 		{
2025-08-26T20:09:47.8549483Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8549764Z 			"size": 32,
2025-08-26T20:09:47.8550056Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:47.8550379Z 		},
2025-08-26T20:09:47.8550518Z 		{
2025-08-26T20:09:47.8550748Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8551020Z 			"size": 109,
2025-08-26T20:09:47.8551309Z 			"digest": "sha256:5ce18bf5b45dbcad8afcd0fde76d5d0a674d53e510d99cceff0587e6b948e52e"
2025-08-26T20:09:47.8551635Z 		},
2025-08-26T20:09:47.8551780Z 		{
2025-08-26T20:09:47.8552009Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8552278Z 			"size": 1896,
2025-08-26T20:09:47.8552569Z 			"digest": "sha256:285c81af4b9d0b1429be21e8a67cdb35d3b2ce9652ba5bd3e7b4fe003b1da902"
2025-08-26T20:09:47.8552887Z 		},
2025-08-26T20:09:47.8553034Z 		{
2025-08-26T20:09:47.8553260Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8553539Z 			"size": 242997127,
2025-08-26T20:09:47.8555389Z 			"digest": "sha256:bb07dd0d561f2f9bd5c780aefc22a73058368931be47e4e3af1a539c4d267ae2"
2025-08-26T20:09:47.8555704Z 		},
2025-08-26T20:09:47.8555852Z 		{
2025-08-26T20:09:47.8556075Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8556352Z 			"size": 106,
2025-08-26T20:09:47.8556643Z 			"digest": "sha256:50a5a3b68ee3894de8898a04c6a4bfdd0ac1859da95b5a8ceab7ccb6a9a620da"
2025-08-26T20:09:47.8556956Z 		},
2025-08-26T20:09:47.8557093Z 		{
2025-08-26T20:09:47.8557320Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8557594Z 			"size": 164,
2025-08-26T20:09:47.8557883Z 			"digest": "sha256:79eecebd063f6be16d85070bb148f969679d1d8df9c0dee228e3595118fcd6f0"
2025-08-26T20:09:47.8558187Z 		},
2025-08-26T20:09:47.8558333Z 		{
2025-08-26T20:09:47.8558560Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8558838Z 			"size": 7943,
2025-08-26T20:09:47.8559124Z 			"digest": "sha256:1d221336b6cfad31c20882c181f430a4282a12a9be9028b5bd8280aadca44c42"
2025-08-26T20:09:47.8559437Z 		},
2025-08-26T20:09:47.8559583Z 		{
2025-08-26T20:09:47.8559810Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8560085Z 			"size": 8077,
2025-08-26T20:09:47.8560373Z 			"digest": "sha256:bb9b1ab32155a02a0f4cd73062f3e3f649e281a8439037f7b94cc6df74dc4fba"
2025-08-26T20:09:47.8560687Z 		},
2025-08-26T20:09:47.8560833Z 		{
2025-08-26T20:09:47.8561057Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8561336Z 			"size": 303,
2025-08-26T20:09:47.8561621Z 			"digest": "sha256:0867b7fa637cd840cab46ab9d0f60674db13df921cabda8599405045604f5b2d"
2025-08-26T20:09:47.8561933Z 		},
2025-08-26T20:09:47.8562071Z 		{
2025-08-26T20:09:47.8562301Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8562579Z 			"size": 32,
2025-08-26T20:09:47.8562936Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:47.8563249Z 		},
2025-08-26T20:09:47.8563395Z 		{
2025-08-26T20:09:47.8563624Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8563910Z 			"size": 108,
2025-08-26T20:09:47.8564195Z 			"digest": "sha256:0edddbef40dd990542474976dcfe8db6dca1fee30e5d623ff3c442b93de5a701"
2025-08-26T20:09:47.8564530Z 		},
2025-08-26T20:09:47.8564684Z 		{
2025-08-26T20:09:47.8564916Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8565190Z 			"size": 54145663,
2025-08-26T20:09:47.8565494Z 			"digest": "sha256:bf05e37245a2b1f993edf59c7d829c700ba42dde0686edb2dc0b990fe7a97573"
2025-08-26T20:09:47.8565812Z 		},
2025-08-26T20:09:47.8565957Z 		{
2025-08-26T20:09:47.8566177Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-26T20:09:47.8566451Z 			"size": 32,
2025-08-26T20:09:47.8566744Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-26T20:09:47.8567062Z 		}
2025-08-26T20:09:47.8567205Z 	]
2025-08-26T20:09:47.8567356Z }
2025-08-26T20:09:47.8567547Z + exit 0
2025-08-26T20:09:47.8594614Z ##[group]Run set -eux
2025-08-26T20:09:47.8594846Z set -eux
2025-08-26T20:09:47.8595147Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-08-26T20:09:47.8595874Z 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
2025-08-26T20:09:47.8602535Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:47.8602802Z env:
2025-08-26T20:09:47.8602980Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:47.8603181Z ##[endgroup]
2025-08-26T20:09:47.8635167Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-26T20:09:47.8635610Z + jq --raw-output .SecretString
2025-08-26T20:09:47.8635844Z + jq -r .docker_hub_readonly_token
2025-08-26T20:09:47.8636412Z + docker login --username pytorchbot --password-stdin
2025-08-26T20:09:48.3687802Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:48.3688197Z Login Succeeded
2025-08-26T20:09:48.3688466Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:48.3688883Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:48.3689149Z 
2025-08-26T20:09:48.3770402Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:09:48.3770697Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-26T20:09:48.3770990Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-26T20:09:48.3776662Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:48.3776943Z env:
2025-08-26T20:09:48.3777123Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:48.3777742Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:48.3778354Z ##[endgroup]
2025-08-26T20:09:48.3804531Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:48.3860085Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-26T20:09:48.3860448Z with:
2025-08-26T20:09:48.3861100Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:48.3861851Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:48.3862174Z env:
2025-08-26T20:09:48.3862373Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:48.3862604Z ##[endgroup]
2025-08-26T20:09:48.3882449Z ##[group]Run set -x
2025-08-26T20:09:48.3882690Z set -x
2025-08-26T20:09:48.3882879Z set +e
2025-08-26T20:09:48.3883079Z 
2025-08-26T20:09:48.3883248Z login() {
2025-08-26T20:09:48.3883610Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-26T20:09:48.3883975Z }
2025-08-26T20:09:48.3884158Z 
2025-08-26T20:09:48.3884359Z retry () {
2025-08-26T20:09:48.3884572Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-26T20:09:48.3884798Z }
2025-08-26T20:09:48.3884967Z 
2025-08-26T20:09:48.3885155Z retry login "${DOCKER_REGISTRY}"
2025-08-26T20:09:48.3885383Z 
2025-08-26T20:09:48.3885723Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-26T20:09:48.3886179Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-26T20:09:48.3886449Z 
2025-08-26T20:09:48.3886617Z set -e
2025-08-26T20:09:48.3886900Z # ignore output since only exit code is used for conditional
2025-08-26T20:09:48.3887254Z # only pull docker image if it's not available locally
2025-08-26T20:09:48.3887638Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-26T20:09:48.3887996Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-26T20:09:48.3888227Z fi
2025-08-26T20:09:48.3893352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:09:48.3893631Z env:
2025-08-26T20:09:48.3893817Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:09:48.3894445Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:48.3895138Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:48.3895430Z ##[endgroup]
2025-08-26T20:09:48.3956938Z + set +e
2025-08-26T20:09:48.3957450Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:48.3958179Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:48.3960611Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-26T20:09:48.3961022Z + aws ecr get-login-password --region us-east-1
2025-08-26T20:09:48.8782732Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-26T20:09:48.8783393Z Configure a credential helper to remove this warning. See
2025-08-26T20:09:48.8783971Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-26T20:09:48.8784374Z Login Succeeded
2025-08-26T20:09:48.8784615Z 
2025-08-26T20:09:48.8809372Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:48.8812073Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-26T20:09:49.0905483Z + IMAGE_SIZE=28511.53002166748
2025-08-26T20:09:49.0905848Z Compressed size of image in MB: 28511.53002166748
2025-08-26T20:09:49.0906223Z + echo 'Compressed size of image in MB: 28511.53002166748'
2025-08-26T20:09:49.0906784Z + set -e
2025-08-26T20:09:49.0907828Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:49.1059210Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:49.1060373Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:09:49.3039991Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6: Pulling from pytorch/ci-image
2025-08-26T20:09:49.3040787Z 660ffc76f83b: Pulling fs layer
2025-08-26T20:09:49.3041074Z 4d54b123ef9d: Pulling fs layer
2025-08-26T20:09:49.3041285Z 9c55cec78f84: Pulling fs layer
2025-08-26T20:09:49.3041489Z 9bc7d79f3fbb: Pulling fs layer
2025-08-26T20:09:49.3041689Z aafdf104ff63: Pulling fs layer
2025-08-26T20:09:49.3041895Z 82c8895e8a78: Pulling fs layer
2025-08-26T20:09:49.3042111Z 0f8cef21ed41: Pulling fs layer
2025-08-26T20:09:49.3042318Z 23a46894eb0a: Pulling fs layer
2025-08-26T20:09:49.3042515Z 71763536b7fe: Pulling fs layer
2025-08-26T20:09:49.3042725Z 2d20cafec487: Pulling fs layer
2025-08-26T20:09:49.3042936Z 24343f5bbf5c: Pulling fs layer
2025-08-26T20:09:49.3043146Z 13e40e4a2eab: Pulling fs layer
2025-08-26T20:09:49.3043346Z f6116ea55ac1: Pulling fs layer
2025-08-26T20:09:49.3043554Z 734ff9c3d9c1: Pulling fs layer
2025-08-26T20:09:49.3043808Z 4f4fb700ef54: Pulling fs layer
2025-08-26T20:09:49.3044025Z 7962f79fd05c: Pulling fs layer
2025-08-26T20:09:49.3044225Z 38d0e1be877e: Pulling fs layer
2025-08-26T20:09:49.3044427Z 950bd866dd78: Pulling fs layer
2025-08-26T20:09:49.3044638Z 6795befe89ab: Pulling fs layer
2025-08-26T20:09:49.3044845Z e7d56d45e721: Pulling fs layer
2025-08-26T20:09:49.3045042Z 01f006747b5d: Pulling fs layer
2025-08-26T20:09:49.3045247Z c507b40a0297: Pulling fs layer
2025-08-26T20:09:49.3045454Z 4e1b4afdbeea: Pulling fs layer
2025-08-26T20:09:49.3045665Z 9bc7d79f3fbb: Waiting
2025-08-26T20:09:49.3045852Z 0f8cef21ed41: Waiting
2025-08-26T20:09:49.3046038Z 23a46894eb0a: Waiting
2025-08-26T20:09:49.3046227Z b64445d67ed1: Pulling fs layer
2025-08-26T20:09:49.3046435Z f48ac6c01ba8: Pulling fs layer
2025-08-26T20:09:49.3046633Z b9fb5bb58157: Pulling fs layer
2025-08-26T20:09:49.3046841Z f593871a9673: Pulling fs layer
2025-08-26T20:09:49.3047047Z 7320abfeca74: Pulling fs layer
2025-08-26T20:09:49.3047251Z d35702d52345: Pulling fs layer
2025-08-26T20:09:49.3047438Z 82c8895e8a78: Waiting
2025-08-26T20:09:49.3047630Z 1e9e58db0ee6: Pulling fs layer
2025-08-26T20:09:49.3047834Z aafdf104ff63: Waiting
2025-08-26T20:09:49.3048026Z 425283ca33f4: Pulling fs layer
2025-08-26T20:09:49.3048536Z 2d20cafec487: Waiting
2025-08-26T20:09:49.3048728Z 009019a99c9c: Pulling fs layer
2025-08-26T20:09:49.3048930Z 4f4fb700ef54: Waiting
2025-08-26T20:09:49.3049124Z 2fd6dfbf1697: Pulling fs layer
2025-08-26T20:09:49.3049320Z 24343f5bbf5c: Waiting
2025-08-26T20:09:49.3049511Z 13e40e4a2eab: Waiting
2025-08-26T20:09:49.3049706Z fd1110e8b53e: Pulling fs layer
2025-08-26T20:09:49.3049922Z fbdbed5f2550: Pulling fs layer
2025-08-26T20:09:49.3050115Z 7962f79fd05c: Waiting
2025-08-26T20:09:49.3050296Z 38d0e1be877e: Waiting
2025-08-26T20:09:49.3050484Z e9de589665ef: Pulling fs layer
2025-08-26T20:09:49.3050693Z 43d965cdf5c8: Pulling fs layer
2025-08-26T20:09:49.3050884Z 950bd866dd78: Waiting
2025-08-26T20:09:49.3051061Z 71763536b7fe: Waiting
2025-08-26T20:09:49.3051249Z c87e96cbf6b3: Pulling fs layer
2025-08-26T20:09:49.3051448Z e7d56d45e721: Waiting
2025-08-26T20:09:49.3051621Z 734ff9c3d9c1: Waiting
2025-08-26T20:09:49.3051802Z 6795befe89ab: Waiting
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2025-08-26T20:12:58.9989225Z 6cefe6cfb1b5: Verifying Checksum
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2025-08-26T20:19:15.1991212Z Digest: sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
2025-08-26T20:19:15.2725385Z 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
2025-08-26T20:19:15.3149099Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:15.3201576Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:19:15.3202198Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-26T20:19:15.3211411Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:15.3211935Z env:
2025-08-26T20:19:15.3212132Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:15.3212338Z ##[endgroup]
2025-08-26T20:19:15.3297658Z Prepare all required actions
2025-08-26T20:19:15.3538658Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-26T20:19:15.3538930Z with:
2025-08-26T20:19:15.3539632Z   github-token: ***
2025-08-26T20:19:15.3539815Z env:
2025-08-26T20:19:15.3539994Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:15.3540202Z ##[endgroup]
2025-08-26T20:19:15.3677945Z ##[group]Run set -eux
2025-08-26T20:19:15.3678295Z set -eux
2025-08-26T20:19:15.3678619Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T20:19:15.3683543Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:15.3683794Z env:
2025-08-26T20:19:15.3683961Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:15.3684524Z   GITHUB_TOKEN: ***
2025-08-26T20:19:15.3684714Z ##[endgroup]
2025-08-26T20:19:15.3707454Z + python3 .github/scripts/get_workflow_job_id.py 17248463670 i-01396842c8dc9f563
2025-08-26T20:19:16.1686525Z Setting output job-id=48946862592
2025-08-26T20:19:16.1687191Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:16.1883017Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:19:16.1883542Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-26T20:19:16.1884179Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-26T20:19:16.1884740Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-26T20:19:16.1889948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:16.1890219Z env:
2025-08-26T20:19:16.1890390Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:16.1890599Z   JOB_ID: 48946862592
2025-08-26T20:19:16.1890996Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:16.1891388Z   WORKFLOW_NAME: inductor
2025-08-26T20:19:16.1891593Z   WORKFLOW_RUN_ID: 17248463670
2025-08-26T20:19:16.1891855Z   MONITOR_LOG_INTERVAL: 5
2025-08-26T20:19:16.1892067Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-26T20:19:16.1892285Z ##[endgroup]
2025-08-26T20:19:16.6834227Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:19:16.9531330Z Collecting psutil==5.9.8
2025-08-26T20:19:16.9695378Z   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)
2025-08-26T20:19:17.0535533Z Collecting dataclasses_json==0.6.7
2025-08-26T20:19:17.0569780Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-26T20:19:17.0870489Z Collecting nvidia-ml-py==11.525.84
2025-08-26T20:19:17.0905288Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-26T20:19:17.1263456Z Collecting typing-inspect<1,>=0.4.0
2025-08-26T20:19:17.1299827Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-26T20:19:17.2299007Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-26T20:19:17.2332495Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-26T20:19:17.3383543Z Collecting packaging>=17.0
2025-08-26T20:19:17.3414729Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-26T20:19:17.4637320Z Collecting mypy-extensions>=0.3.0
2025-08-26T20:19:17.4676087Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-26T20:19:17.6166608Z Collecting typing-extensions>=3.7.4
2025-08-26T20:19:17.6201864Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-08-26T20:19:17.9847566Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-26T20:19:18.7951866Z 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
2025-08-26T20:19:19.0656344Z Prepare all required actions
2025-08-26T20:19:19.0656754Z Getting action download info
2025-08-26T20:19:19.2029517Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-26T20:19:19.8531185Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-26T20:19:22.8055358Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-26T20:19:22.8055633Z with:
2025-08-26T20:19:22.8055832Z   name: linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:22.8056060Z   s3-bucket: gha-artifacts
2025-08-26T20:19:22.8056261Z env:
2025-08-26T20:19:22.8056432Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:22.8056624Z ##[endgroup]
2025-08-26T20:19:22.8096180Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:19:22.8096445Z with:
2025-08-26T20:19:22.8096675Z   name: linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:22.8096922Z   s3-bucket: gha-artifacts
2025-08-26T20:19:22.8097176Z   region: us-east-1
2025-08-26T20:19:22.8097351Z env:
2025-08-26T20:19:22.8097521Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:22.8097715Z ##[endgroup]
2025-08-26T20:19:23.5943384Z (node:48241) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:19:23.5943765Z 
2025-08-26T20:19:23.5943917Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:19:23.5944318Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:19:23.5944859Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:19:24.2591403Z Found 1 objects with prefix pytorch/pytorch/17248463670/linux-jammy-py3.9-gcc11-build/
2025-08-26T20:19:24.2595516Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:19:28.8900076Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-26T20:19:28.8907238Z Artifact download has finished successfully
2025-08-26T20:19:28.9136498Z ##[group]Run unzip -o artifacts.zip
2025-08-26T20:19:28.9136748Z unzip -o artifacts.zip
2025-08-26T20:19:28.9141938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:28.9142187Z env:
2025-08-26T20:19:28.9142363Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:28.9142551Z ##[endgroup]
2025-08-26T20:19:28.9208654Z Archive:  artifacts.zip
2025-08-26T20:19:28.9209002Z    creating: dist/
2025-08-26T20:19:30.0545416Z   inflating: dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:19:30.0545821Z    creating: dist/vision/
2025-08-26T20:19:30.0632102Z   inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:19:30.0632502Z    creating: dist/audio/
2025-08-26T20:19:30.0666429Z   inflating: dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl  
2025-08-26T20:19:30.0666965Z    creating: dist/ao/
2025-08-26T20:19:30.0707170Z   inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl  
2025-08-26T20:19:30.0830766Z   inflating: dist/.ninja_log         
2025-08-26T20:19:30.0831337Z    creating: build/custom_test_artifacts/
2025-08-26T20:19:30.0831786Z    creating: build/custom_test_artifacts/custom-op-build/
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2025-08-26T20:19:35.7080268Z   inflating: build/bin/scalar_test   
2025-08-26T20:19:35.7136077Z   inflating: build/bin/StorageUtils_test  
2025-08-26T20:19:35.7196063Z   inflating: build/bin/stride_properties_test  
2025-08-26T20:19:35.7278639Z   inflating: build/bin/tensor_iterator_test  
2025-08-26T20:19:35.7341429Z   inflating: build/bin/test_parallel  
2025-08-26T20:19:35.7395043Z   inflating: build/bin/thread_init_test  
2025-08-26T20:19:35.7455836Z   inflating: build/bin/type_ptr_test  
2025-08-26T20:19:35.7522092Z   inflating: build/bin/type_test     
2025-08-26T20:19:35.7581338Z   inflating: build/bin/undefined_tensor_test  
2025-08-26T20:19:35.7638199Z   inflating: build/bin/verify_api_visibility  
2025-08-26T20:19:35.7715120Z   inflating: build/bin/legacy_vmap_test  
2025-08-26T20:19:35.7772167Z   inflating: build/bin/weakref_test  
2025-08-26T20:19:35.7829559Z   inflating: build/bin/wrapdim_test  
2025-08-26T20:19:35.7888506Z   inflating: build/bin/xla_tensor_test  
2025-08-26T20:19:35.7953653Z   inflating: build/bin/IListRef_test  
2025-08-26T20:19:35.8066835Z   inflating: build/bin/List_test     
2025-08-26T20:19:35.8139041Z   inflating: build/bin/KernelFunction_test  
2025-08-26T20:19:35.8264571Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-26T20:19:35.8363786Z   inflating: build/bin/kernel_function_test  
2025-08-26T20:19:35.8496215Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-26T20:19:35.8605215Z   inflating: build/bin/kernel_lambda_test  
2025-08-26T20:19:35.8672352Z   inflating: build/bin/kernel_stackbased_test  
2025-08-26T20:19:35.8774399Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-26T20:19:35.8834757Z   inflating: build/bin/CppSignature_test  
2025-08-26T20:19:35.8892614Z   inflating: build/bin/backend_fallback_test  
2025-08-26T20:19:35.8947698Z   inflating: build/bin/op_allowlist_test  
2025-08-26T20:19:35.9266380Z   inflating: build/bin/op_registration_test  
2025-08-26T20:19:35.9339809Z   inflating: build/bin/inline_container_test  
2025-08-26T20:19:36.0469201Z   inflating: build/bin/test_jit      
2025-08-26T20:19:36.0526389Z   inflating: build/bin/BackoffTest   
2025-08-26T20:19:36.0586640Z   inflating: build/bin/FileStoreTest  
2025-08-26T20:19:36.0649878Z   inflating: build/bin/TCPStoreTest  
2025-08-26T20:19:36.0710626Z   inflating: build/bin/HashStoreTest  
2025-08-26T20:19:36.1092923Z   inflating: build/bin/test_nativert  
2025-08-26T20:19:36.1094910Z   inflating: build/bin/example_allreduce  
2025-08-26T20:19:36.1170199Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-26T20:19:36.1229762Z   inflating: build/bin/test_dist_autograd  
2025-08-26T20:19:36.1300719Z   inflating: build/bin/test_cpp_rpc  
2025-08-26T20:19:36.2467802Z   inflating: build/bin/test_api      
2025-08-26T20:19:36.2468923Z   inflating: build/bin/parallel_benchmark  
2025-08-26T20:19:36.2820765Z   inflating: build/bin/test_lazy     
2025-08-26T20:19:36.2825408Z   inflating: build/bin/torch_shm_manager  
2025-08-26T20:19:36.2825708Z    creating: .additional_ci_files/
2025-08-26T20:19:36.2904112Z   inflating: .additional_ci_files/test-times.json  
2025-08-26T20:19:36.3208812Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-26T20:19:36.3233711Z ##[group]Run rm artifacts.zip
2025-08-26T20:19:36.3233946Z rm artifacts.zip
2025-08-26T20:19:36.3239518Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:36.3239793Z env:
2025-08-26T20:19:36.3239968Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:36.3240170Z ##[endgroup]
2025-08-26T20:19:36.4438854Z ##[group]Run df -H
2025-08-26T20:19:36.4439076Z df -H
2025-08-26T20:19:36.4444014Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:36.4444282Z env:
2025-08-26T20:19:36.4444476Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:36.4444677Z ##[endgroup]
2025-08-26T20:19:36.4489326Z Filesystem        Size  Used Avail Use% Mounted on
2025-08-26T20:19:36.4491524Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-08-26T20:19:36.4491892Z tmpfs              67G     0   67G   0% /dev/shm
2025-08-26T20:19:36.4492143Z tmpfs              27G  791k   27G   1% /run
2025-08-26T20:19:36.4492383Z /dev/nvme0n1p1    215G   70G  146G  33% /
2025-08-26T20:19:36.4492823Z tmpfs              67G   13k   67G   1% /tmp
2025-08-26T20:19:36.4493078Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-08-26T20:19:36.4518640Z Prepare all required actions
2025-08-26T20:19:36.4519603Z Getting action download info
2025-08-26T20:19:36.6048829Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-26T20:19:36.6049107Z with:
2025-08-26T20:19:36.6049291Z env:
2025-08-26T20:19:36.6049478Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:36.6049815Z ##[endgroup]
2025-08-26T20:19:36.6198250Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-26T20:19:36.6198533Z with:
2025-08-26T20:19:36.6198719Z   name: td_results
2025-08-26T20:19:36.6198925Z   s3-bucket: gha-artifacts
2025-08-26T20:19:36.6199140Z   region: us-east-1
2025-08-26T20:19:36.6199317Z env:
2025-08-26T20:19:36.6199495Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:36.6199696Z ##[endgroup]
2025-08-26T20:19:36.9883389Z (node:48266) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-26T20:19:36.9883765Z 
2025-08-26T20:19:36.9884003Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-26T20:19:36.9884393Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-26T20:19:36.9884777Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-26T20:19:37.0793812Z Found 0 objects with prefix pytorch/pytorch/17248463670/td_results/
2025-08-26T20:19:37.0799127Z Artifact download has finished successfully
2025-08-26T20:19:37.0992851Z ##[group]Run mkdir -p .additional_ci_files
2025-08-26T20:19:37.0993144Z mkdir -p .additional_ci_files
2025-08-26T20:19:37.0993459Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-26T20:19:37.0999038Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:37.0999306Z env:
2025-08-26T20:19:37.0999487Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:37.0999696Z ##[endgroup]
2025-08-26T20:19:37.1047774Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-26T20:19:37.1084787Z ##[group]Run .github/scripts/parse_ref.py
2025-08-26T20:19:37.1085080Z .github/scripts/parse_ref.py
2025-08-26T20:19:37.1089942Z shell: /usr/bin/bash -e {0}
2025-08-26T20:19:37.1090158Z env:
2025-08-26T20:19:37.1090347Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:37.1090557Z ##[endgroup]
2025-08-26T20:19:37.1291127Z Setting output branch=main
2025-08-26T20:19:37.1389454Z Prepare all required actions
2025-08-26T20:19:37.1389847Z Getting action download info
2025-08-26T20:19:37.3634838Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-26T20:19:37.3635102Z with:
2025-08-26T20:19:37.3635565Z   github-token: ***
2025-08-26T20:19:37.3637208Z   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"}]}
2025-08-26T20:19:37.3639134Z   job-name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:37.3639520Z env:
2025-08-26T20:19:37.3639694Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:37.3639916Z ##[endgroup]
2025-08-26T20:19:37.3678705Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T20:19:37.3678945Z with:
2025-08-26T20:19:37.3679108Z   shell: bash
2025-08-26T20:19:37.3679287Z   timeout_minutes: 10
2025-08-26T20:19:37.3679473Z   max_attempts: 5
2025-08-26T20:19:37.3679657Z   retry_wait_seconds: 30
2025-08-26T20:19:37.3680165Z   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

2025-08-26T20:19:37.3680689Z   polling_interval_seconds: 1
2025-08-26T20:19:37.3681046Z   warning_on_retry: true
2025-08-26T20:19:37.3681251Z   continue_on_error: false
2025-08-26T20:19:37.3681465Z env:
2025-08-26T20:19:37.3681632Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:37.3682004Z   GITHUB_TOKEN: ***
2025-08-26T20:19:37.3682186Z ##[endgroup]
2025-08-26T20:19:37.4602805Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-26T20:19:37.6508694Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T20:19:37.7428014Z Collecting requests==2.27.1
2025-08-26T20:19:37.7573985Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-26T20:19:37.8831339Z Collecting pyyaml==6.0.2
2025-08-26T20:19:37.8866216Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-26T20:19:38.1680229Z Collecting charset-normalizer~=2.0.0
2025-08-26T20:19:38.1900366Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-26T20:19:38.2317957Z Collecting certifi>=2017.4.17
2025-08-26T20:19:38.2358446Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-26T20:19:38.2428588Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-26T20:19:38.2429207Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-26T20:19:38.3097568Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-26T20:19:38.4236854Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-26T20:19:39.4356984Z Command completed after 1 attempt(s).
2025-08-26T20:19:39.4420314Z ##[group]Run set -x
2025-08-26T20:19:39.4420536Z set -x
2025-08-26T20:19:39.4420716Z 
2025-08-26T20:19:39.4420999Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:19:39.4421334Z # in runner workspace
2025-08-26T20:19:39.4421773Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-26T20:19:39.4427782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:39.4428055Z env:
2025-08-26T20:19:39.4428232Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:39.4428436Z ##[endgroup]
2025-08-26T20:19:39.4449997Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-26T20:19:39.4605087Z Setting output branch=main
2025-08-26T20:19:39.4668533Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:19:39.4668840Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-26T20:19:39.4669091Z echo "Job name: ${JOB_NAME}"
2025-08-26T20:19:39.4669309Z 
2025-08-26T20:19:39.4669575Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-26T20:19:39.4669901Z # in runner workspace
2025-08-26T20:19:39.4670224Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-26T20:19:39.4670564Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-26T20:19:39.4670809Z   --job-name "${JOB_NAME}" \
2025-08-26T20:19:39.4672531Z   --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"}]}" \
2025-08-26T20:19:39.4674417Z   --selected-test-configs "" \
2025-08-26T20:19:39.4674673Z   --pr-number "${PR_NUMBER}" \
2025-08-26T20:19:39.4674905Z   --tag "${TAG}" \
2025-08-26T20:19:39.4675134Z   --event-name "${EVENT_NAME}" \
2025-08-26T20:19:39.4675377Z   --schedule "${SCHEDULE}" \
2025-08-26T20:19:39.4675614Z   --branch "${HEAD_BRANCH}"
2025-08-26T20:19:39.4680653Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:39.4680918Z env:
2025-08-26T20:19:39.4681099Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:39.4681653Z   GITHUB_TOKEN: ***
2025-08-26T20:19:39.4682041Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:39.4682416Z   PR_NUMBER: 
2025-08-26T20:19:39.4682595Z   TAG: 
2025-08-26T20:19:39.4682766Z   EVENT_NAME: push
2025-08-26T20:19:39.4682952Z   SCHEDULE: 
2025-08-26T20:19:39.4683130Z   HEAD_BRANCH: main
2025-08-26T20:19:39.4683323Z ##[endgroup]
2025-08-26T20:19:39.4707293Z Workflow: inductor
2025-08-26T20:19:39.4708288Z Job name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:39.6347682Z Setting output keep-going=True
2025-08-26T20:19:39.6350826Z Setting output ci-verbose-test-logs=False
2025-08-26T20:19:39.6351873Z Setting output ci-test-showlocals=False
2025-08-26T20:19:39.6355272Z Setting output ci-no-test-timeout=False
2025-08-26T20:19:39.6355925Z Setting output ci-no-td=False
2025-08-26T20:19:39.6356235Z Setting output ci-td-distributed=False
2025-08-26T20:19:39.6356507Z Setting output is-unstable=False
2025-08-26T20:19:39.6356749Z Setting output reenabled-issues=
2025-08-26T20:19:39.6358904Z 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"}]}
2025-08-26T20:19:39.6360787Z Setting output is-test-matrix-empty=False
2025-08-26T20:19:39.6489360Z ##[group]Run echo "Filtered matrix:"
2025-08-26T20:19:39.6489644Z echo "Filtered matrix:"
2025-08-26T20:19:39.6491547Z 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"}]}"
2025-08-26T20:19:39.6493438Z 
2025-08-26T20:19:39.6493618Z echo
2025-08-26T20:19:39.6493834Z echo "Is the current job unstable? False"
2025-08-26T20:19:39.6494091Z 
2025-08-26T20:19:39.6494261Z echo
2025-08-26T20:19:39.6494477Z echo "Is keep-going label set? True"
2025-08-26T20:19:39.6494892Z 
2025-08-26T20:19:39.6495064Z echo
2025-08-26T20:19:39.6495265Z echo "Reenabled issues? "
2025-08-26T20:19:39.6500305Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:39.6500589Z env:
2025-08-26T20:19:39.6500780Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:39.6500993Z ##[endgroup]
2025-08-26T20:19:39.6523351Z Filtered matrix:
2025-08-26T20:19:39.6525112Z {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}]}
2025-08-26T20:19:39.6526764Z 
2025-08-26T20:19:39.6526870Z Is the current job unstable? False
2025-08-26T20:19:39.6527023Z 
2025-08-26T20:19:39.6527110Z Is keep-going label set? True
2025-08-26T20:19:39.6527257Z 
2025-08-26T20:19:39.6527334Z Reenabled issues? 
2025-08-26T20:19:39.6577715Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:19:39.6578087Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-26T20:19:39.6582796Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:39.6583063Z env:
2025-08-26T20:19:39.6583239Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:39.6583436Z   JOB_TIMEOUT: 240
2025-08-26T20:19:39.6583611Z ##[endgroup]
2025-08-26T20:19:39.6639709Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:19:39.6640094Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:19:39.6640403Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-26T20:19:39.6644882Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T20:19:39.6645151Z env:
2025-08-26T20:19:39.6645360Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:39.6645555Z ##[endgroup]
2025-08-26T20:19:39.6746769Z ##[group]Run set -x
2025-08-26T20:19:39.6747051Z set -x
2025-08-26T20:19:39.6747227Z 
2025-08-26T20:19:39.6747436Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-26T20:19:39.6747735Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-26T20:19:39.6748026Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-26T20:19:39.6748283Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-26T20:19:39.6748510Z else
2025-08-26T20:19:39.6748715Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:19:39.6748956Z fi
2025-08-26T20:19:39.6749120Z 
2025-08-26T20:19:39.6749334Z # Leaving 1GB for the runner and other things
2025-08-26T20:19:39.6749713Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-26T20:19:39.6750266Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-26T20:19:39.6750701Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-26T20:19:39.6751048Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-26T20:19:39.6751321Z 
2025-08-26T20:19:39.6751522Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:19:39.6751751Z   SHM_OPTS=
2025-08-26T20:19:39.6751941Z   JENKINS_USER=
2025-08-26T20:19:39.6752190Z   # ensure that docker container cleanly exits in 12 hours
2025-08-26T20:19:39.6752504Z   # if for some reason cleanup action doesn't stop container
2025-08-26T20:19:39.6752879Z   # when job is cancelled
2025-08-26T20:19:39.6753092Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-26T20:19:39.6753297Z else
2025-08-26T20:19:39.6753484Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-26T20:19:39.6753725Z   JENKINS_USER="--user jenkins"
2025-08-26T20:19:39.6753949Z   DOCKER_SHELL_CMD=
2025-08-26T20:19:39.6754145Z fi
2025-08-26T20:19:39.6754312Z 
2025-08-26T20:19:39.6754555Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-26T20:19:39.6754902Z # TODO: Stop building test binaries as part of the build phase
2025-08-26T20:19:39.6755299Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-26T20:19:39.6755651Z # shellcheck disable=SC2086,SC2090
2025-08-26T20:19:39.6755891Z container_name=$(docker run \
2025-08-26T20:19:39.6756125Z   ${GPU_FLAG:-} \
2025-08-26T20:19:39.6756330Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-26T20:19:39.6756562Z   -e BUILD_ENVIRONMENT \
2025-08-26T20:19:39.6756777Z   -e PR_NUMBER \
2025-08-26T20:19:39.6756980Z   -e GITHUB_ACTIONS \
2025-08-26T20:19:39.6757187Z   -e GITHUB_REPOSITORY \
2025-08-26T20:19:39.6757406Z   -e GITHUB_WORKFLOW \
2025-08-26T20:19:39.6757620Z   -e GITHUB_JOB \
2025-08-26T20:19:39.6757821Z   -e GITHUB_RUN_ID \
2025-08-26T20:19:39.6758022Z   -e GITHUB_RUN_NUMBER \
2025-08-26T20:19:39.6758236Z   -e GITHUB_RUN_ATTEMPT \
2025-08-26T20:19:39.6758451Z   -e JOB_ID \
2025-08-26T20:19:39.6758647Z   -e JOB_NAME \
2025-08-26T20:19:39.6758833Z   -e BASE_SHA \
2025-08-26T20:19:39.6759023Z   -e BRANCH \
2025-08-26T20:19:39.6759211Z   -e SHA1 \
2025-08-26T20:19:39.6759392Z   -e AWS_DEFAULT_REGION \
2025-08-26T20:19:39.6759592Z   -e IN_WHEEL_TEST \
2025-08-26T20:19:39.6759788Z   -e SHARD_NUMBER \
2025-08-26T20:19:39.6759980Z   -e TEST_CONFIG \
2025-08-26T20:19:39.6760173Z   -e NUM_TEST_SHARDS \
2025-08-26T20:19:39.6760371Z   -e REENABLED_ISSUES \
2025-08-26T20:19:39.6760585Z   -e CONTINUE_THROUGH_ERROR \
2025-08-26T20:19:39.6760875Z   -e VERBOSE_TEST_LOGS \
2025-08-26T20:19:39.6761086Z   -e TEST_SHOWLOCALS \
2025-08-26T20:19:39.6761277Z   -e NO_TEST_TIMEOUT \
2025-08-26T20:19:39.6761469Z   -e NO_TD \
2025-08-26T20:19:39.6761661Z   -e TD_DISTRIBUTED \
2025-08-26T20:19:39.6761868Z   -e PR_LABELS \
2025-08-26T20:19:39.6762092Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-26T20:19:39.6762326Z   -e SCCACHE_BUCKET \
2025-08-26T20:19:39.6762531Z   -e SCCACHE_REGION \
2025-08-26T20:19:39.6762732Z   -e XLA_CUDA \
2025-08-26T20:19:39.6762951Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-26T20:19:39.6763202Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-26T20:19:39.6763469Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-26T20:19:39.6763730Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-26T20:19:39.6763975Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-26T20:19:39.6764210Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-08-26T20:19:39.6764454Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-26T20:19:39.6764685Z   -e DASHBOARD_TAG \
2025-08-26T20:19:39.6764896Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-26T20:19:39.6765148Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-26T20:19:39.6765440Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-26T20:19:39.6765729Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-26T20:19:39.6766004Z   --security-opt seccomp=unconfined \
2025-08-26T20:19:39.6766246Z   --cap-add=SYS_PTRACE \
2025-08-26T20:19:39.6766505Z   --ipc=host \
2025-08-26T20:19:39.6766701Z   ${SHM_OPTS} \
2025-08-26T20:19:39.6766888Z   --tty \
2025-08-26T20:19:39.6767067Z   --detach \
2025-08-26T20:19:39.6767262Z   --name="${container_name}" \
2025-08-26T20:19:39.6767487Z   ${JENKINS_USER} \
2025-08-26T20:19:39.6767744Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-26T20:19:39.6768024Z   -w /var/lib/jenkins/workspace \
2025-08-26T20:19:39.6768245Z   "${DOCKER_IMAGE}" \
2025-08-26T20:19:39.6768452Z   ${DOCKER_SHELL_CMD}
2025-08-26T20:19:39.6768649Z )
2025-08-26T20:19:39.6768872Z # Propagate download.pytorch.org IP to container
2025-08-26T20:19:39.6769307Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-26T20:19:39.6769786Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-26T20:19:39.6770069Z 
2025-08-26T20:19:39.6770272Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-26T20:19:39.6770658Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-26T20:19:39.6771001Z fi
2025-08-26T20:19:39.6771167Z 
2025-08-26T20:19:39.6771515Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-26T20:19:39.6776473Z shell: /usr/bin/bash -e {0}
2025-08-26T20:19:39.6776686Z env:
2025-08-26T20:19:39.6776858Z   GIT_DEFAULT_BRANCH: main
2025-08-26T20:19:39.6777109Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build
2025-08-26T20:19:39.6777361Z   PR_NUMBER: 
2025-08-26T20:19:39.6777578Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-26T20:19:39.6777807Z   GITHUB_WORKFLOW: inductor
2025-08-26T20:19:39.6778006Z   GITHUB_JOB: test
2025-08-26T20:19:39.6778183Z   GITHUB_RUN_ID: 17248463670
2025-08-26T20:19:39.6778389Z   GITHUB_RUN_NUMBER: 149891
2025-08-26T20:19:39.6778586Z   GITHUB_RUN_ATTEMPT: 1
2025-08-26T20:19:39.6778773Z   JOB_ID: 48946862592
2025-08-26T20:19:39.6779123Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:19:39.6779494Z   BRANCH: main
2025-08-26T20:19:39.6779770Z   SHA1: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:39.6780037Z   BASE_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:19:39.6780285Z   TEST_CONFIG: cpu_inductor_torchbench
2025-08-26T20:19:39.6780508Z   SHARD_NUMBER: 1
2025-08-26T20:19:39.6780689Z   NUM_TEST_SHARDS: 2
2025-08-26T20:19:39.6780872Z   REENABLED_ISSUES: 
2025-08-26T20:19:39.6781052Z   CONTINUE_THROUGH_ERROR: True
2025-08-26T20:19:39.6781263Z   VERBOSE_TEST_LOGS: False
2025-08-26T20:19:39.6781463Z   TEST_SHOWLOCALS: False
2025-08-26T20:19:39.6781663Z   NO_TEST_TIMEOUT: False
2025-08-26T20:19:39.6781845Z   NO_TD: False
2025-08-26T20:19:39.6782025Z   TD_DISTRIBUTED: False
2025-08-26T20:19:39.6782257Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-26T20:19:39.6782512Z   SCCACHE_REGION: us-east-1
2025-08-26T20:19:39.6782698Z   SHM_SIZE: 1g
2025-08-26T20:19:39.6783243Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T20:19:39.6783811Z   XLA_CUDA: 
2025-08-26T20:19:39.6784078Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:19:39.6784398Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-26T20:19:39.6784624Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-26T20:19:39.6784840Z   DASHBOARD_TAG: 
2025-08-26T20:19:39.6785216Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-08-26T20:19:39.6785517Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-26T20:19:39.6785809Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-26T20:19:39.6786147Z   ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T20:19:39.6786540Z ##[endgroup]
2025-08-26T20:19:39.6808325Z + [[ cpu_inductor_torchbench == \m\u\l\t\i\g\p\u ]]
2025-08-26T20:19:39.6808689Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]]
2025-08-26T20:19:39.6808957Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-26T20:19:39.6814309Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-26T20:19:39.6834326Z + TOTAL_AVAILABLE_MEMORY_IN_GB='122.780 '
2025-08-26T20:19:39.6839492Z + TOTAL_MEMORY_WITH_SWAP=125
2025-08-26T20:19:39.6839819Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-26T20:19:39.6840100Z + SHM_OPTS=--shm-size=1g
2025-08-26T20:19:39.6840307Z + JENKINS_USER='--user jenkins'
2025-08-26T20:19:39.6840524Z + DOCKER_SHELL_CMD=
2025-08-26T20:19:39.6840718Z +++ nproc --ignore=2
2025-08-26T20:19:39.6870748Z ++ 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
2025-08-26T20:19:52.0461520Z + container_name=b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T20:19:52.0465079Z + grep download.pytorch.org /etc/hosts
2025-08-26T20:19:52.0465636Z + docker exec -i b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-26T20:19:52.1794513Z + echo DOCKER_CONTAINER_ID=b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T20:19:52.1795044Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-26T20:19:52.1799606Z ++ echo dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl
2025-08-26T20:19:52.1800825Z + docker exec -t b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-26T20:19:52.5337702Z Processing ./dist/torch-2.9.0a0+git262640f-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git262640f)
2025-08-26T20:19:52.7523909Z 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)
2025-08-26T20:19:52.7524826Z 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)
2025-08-26T20:19:52.7527135Z 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)
2025-08-26T20:19:52.7529489Z 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)
2025-08-26T20:19:52.7531116Z 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)
2025-08-26T20:19:52.7540366Z 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)
2025-08-26T20:19:52.7548769Z 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)
2025-08-26T20:19:52.7854098Z 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)
2025-08-26T20:19:52.7865523Z 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)
2025-08-26T20:19:52.7897758Z 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)
2025-08-26T20:19:53.6029504Z Installing collected packages: torch
2025-08-26T20:20:01.2036344Z 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.
2025-08-26T20:20:01.2037033Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-26T20:20:01.2037402Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-26T20:20:01.2037803Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-26T20:20:01.2038324Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-26T20:20:01.2038847Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-26T20:20:01.2039238Z Successfully installed torch-2.9.0a0+git262640f
2025-08-26T20:20:01.3143397Z + export TERM=vt100
2025-08-26T20:20:01.3149641Z + TERM=vt100
2025-08-26T20:20:01.3154638Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:20:01.3156426Z + source .ci/pytorch/common.sh
2025-08-26T20:20:01.3156853Z +++ dirname .ci/pytorch/common.sh
2025-08-26T20:20:01.3167536Z ++ source .ci/pytorch/common_utils.sh
2025-08-26T20:20:01.3167829Z +++ declare -f -t trap_add
2025-08-26T20:20:01.3177379Z ++ set -ex -o pipefail
2025-08-26T20:20:01.3177769Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:20:01.3178267Z ++ BUILD_TEST_LIBTORCH=0
2025-08-26T20:20:01.3178884Z ++ dirname .ci/pytorch/test.sh
2025-08-26T20:20:01.3179124Z + source .ci/pytorch/common-build.sh
2025-08-26T20:20:01.3190796Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]]
2025-08-26T20:20:01.3191125Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-26T20:20:01.3203328Z +++ cd .ci/pytorch
2025-08-26T20:20:01.3203576Z +++ pwd -P
2025-08-26T20:20:01.3203925Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-26T20:20:01.3204270Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]]
2025-08-26T20:20:01.3204518Z ++ which sccache
2025-08-26T20:20:01.3226869Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-26T20:20:01.3227413Z ++ sccache --stop-server
2025-08-26T20:20:01.3256045Z ++ true
2025-08-26T20:20:01.3256403Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-26T20:20:01.3267686Z ++ trap_add sccache_epilogue EXIT
2025-08-26T20:20:01.3271739Z ++ trap_add_cmd=sccache_epilogue
2025-08-26T20:20:01.3274615Z ++ shift
2025-08-26T20:20:01.3274884Z ++ for trap_add_name in "$@"
2025-08-26T20:20:01.3275124Z ++++ trap -p EXIT
2025-08-26T20:20:01.3275328Z +++ eval 'extract_trap_cmd '
2025-08-26T20:20:01.3282097Z ++++ extract_trap_cmd
2025-08-26T20:20:01.3282373Z ++++ printf '%s\n' ''
2025-08-26T20:20:01.3282597Z +++ printf '%s\n' sccache_epilogue
2025-08-26T20:20:01.3282827Z ++ trap -- '
2025-08-26T20:20:01.3283017Z sccache_epilogue' EXIT
2025-08-26T20:20:01.3283214Z ++ [[ -n 1 ]]
2025-08-26T20:20:01.3283510Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-26T20:20:01.3283922Z Skipping sccache server initialization, setting environment variables
2025-08-26T20:20:01.3284552Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:20:01.3284776Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:20:01.3285043Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:20:01.3285362Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:20:01.3285688Z ++ export RUST_LOG=sccache::server=error
2025-08-26T20:20:01.3285934Z ++ RUST_LOG=sccache::server=error
2025-08-26T20:20:01.3286162Z ++ sccache --zero-stats
2025-08-26T20:20:01.4979367Z Statistics zeroed.
2025-08-26T20:20:01.4981717Z ++ which ccache
2025-08-26T20:20:01.5012300Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]]
2025-08-26T20:20:01.5015972Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]]
2025-08-26T20:20:01.5016281Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-26T20:20:01.5016537Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-26T20:20:01.5026453Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-26T20:20:01.5026757Z + trap_add cleanup_workspace EXIT
2025-08-26T20:20:01.5027033Z + trap_add_cmd=cleanup_workspace
2025-08-26T20:20:01.5027259Z + shift
2025-08-26T20:20:01.5027487Z + for trap_add_name in "$@"
2025-08-26T20:20:01.5037125Z +++ trap -p EXIT
2025-08-26T20:20:01.5044147Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-26T20:20:01.5044605Z sccache_epilogue'\'' EXIT'
2025-08-26T20:20:01.5044958Z +++ extract_trap_cmd trap -- '
2025-08-26T20:20:01.5045315Z sccache_epilogue' EXIT
2025-08-26T20:20:01.5046036Z +++ printf '%s\n' '
2025-08-26T20:20:01.5046328Z sccache_epilogue'
2025-08-26T20:20:01.5046537Z ++ printf '%s\n' cleanup_workspace
2025-08-26T20:20:01.5046776Z + trap -- '
2025-08-26T20:20:01.5046957Z sccache_epilogue
2025-08-26T20:20:01.5047156Z cleanup_workspace' EXIT
2025-08-26T20:20:01.5047398Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-26T20:20:01.9375631Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-26T20:20:01.9389453Z + echo 'Environment variables:'
2025-08-26T20:20:01.9389766Z Environment variables:
2025-08-26T20:20:01.9390008Z + env
2025-08-26T20:20:01.9397876Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:20:01.9398307Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:20:01.9398672Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-26T20:20:01.9399162Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:20:01.9399384Z HOSTNAME=b6d63d0faf79
2025-08-26T20:20:01.9400041Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9400490Z GITHUB_ACTION=__run_2
2025-08-26T20:20:01.9400702Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:20:01.9400934Z GITHUB_RUN_NUMBER=149891
2025-08-26T20:20:01.9401149Z TEST_CONFIG=cpu_inductor_torchbench
2025-08-26T20:20:01.9401381Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:20:01.9401621Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:20:01.9401902Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:20:01.9402256Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:20:01.9402523Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:20:01.9402834Z GITHUB_REF_TYPE=branch
2025-08-26T20:20:01.9403061Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9403300Z XLA_CUDA=
2025-08-26T20:20:01.9403476Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:20:01.9403862Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:20:01.9404362Z ***
2025-08-26T20:20:01.9404553Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:20:01.9404766Z GITHUB_ACTIONS=true
2025-08-26T20:20:01.9404987Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:20:01.9405265Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9405531Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9405896Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-26T20:20:01.9406217Z UCC_HOME=/usr
2025-08-26T20:20:01.9406397Z VERBOSE_TEST_LOGS=False
2025-08-26T20:20:01.9406761Z GITHUB_REF=refs/heads/main
2025-08-26T20:20:01.9406973Z SHARD_NUMBER=1
2025-08-26T20:20:01.9407274Z GITHUB_REF_PROTECTED=true
2025-08-26T20:20:01.9407478Z HOME=/var/lib/jenkins
2025-08-26T20:20:01.9407703Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:20:01.9407951Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:20:01.9408160Z UCX_COMMIT=
2025-08-26T20:20:01.9408330Z USE_SYSTEM_NCCL=1
2025-08-26T20:20:01.9408514Z NUM_TEST_SHARDS=2
2025-08-26T20:20:01.9408693Z UCX_HOME=/usr
2025-08-26T20:20:01.9409080Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9409676Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:20:01.9410249Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9410775Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:20:01.9411101Z GITHUB_EVENT_NAME=push
2025-08-26T20:20:01.9411295Z DASHBOARD_TAG=
2025-08-26T20:20:01.9411476Z GITHUB_RUN_ID=17248463670
2025-08-26T20:20:01.9411675Z INSTALLED_OPENBLAS=
2025-08-26T20:20:01.9412084Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9412690Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:20:01.9412904Z PR_NUMBER=
2025-08-26T20:20:01.9413083Z DESIRED_CUDA=
2025-08-26T20:20:01.9413253Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:20:01.9413457Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:20:01.9413709Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:20:01.9413960Z TERM=vt100
2025-08-26T20:20:01.9414131Z INSTALLED_VISION=yes
2025-08-26T20:20:01.9414380Z BRANCH=main
2025-08-26T20:20:01.9414586Z SCCACHE_REGION=us-east-1
2025-08-26T20:20:01.9414798Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:20:01.9415005Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:20:01.9415471Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:20:01.9415870Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:20:01.9416129Z UCC_COMMIT=
2025-08-26T20:20:01.9416324Z REENABLED_ISSUES=
2025-08-26T20:20:01.9416501Z DOCS=yes
2025-08-26T20:20:01.9416665Z SHLVL=1
2025-08-26T20:20:01.9416823Z MAX_JOBS=30
2025-08-26T20:20:01.9417031Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:20:01.9417411Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9417683Z GITHUB_REF_NAME=main
2025-08-26T20:20:01.9418047Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:20:01.9418346Z GITHUB_JOB=test
2025-08-26T20:20:01.9418532Z NO_TEST_TIMEOUT=False
2025-08-26T20:20:01.9418724Z TD_DISTRIBUTED=False
2025-08-26T20:20:01.9418928Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:20:01.9419145Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:20:01.9419348Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:20:01.9419553Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:20:01.9420072Z 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
2025-08-26T20:20:01.9420581Z GITHUB_BASE_REF=
2025-08-26T20:20:01.9420763Z INSTALLED_ACL=
2025-08-26T20:20:01.9421065Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T20:20:01.9421397Z CI=true
2025-08-26T20:20:01.9421569Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:20:01.9421840Z RUST_LOG=sccache::server=error
2025-08-26T20:20:01.9422047Z JOB_ID=48946862592
2025-08-26T20:20:01.9422223Z GITHUB_HEAD_REF=
2025-08-26T20:20:01.9422396Z GITHUB_ACTION_REF=
2025-08-26T20:20:01.9422616Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:20:01.9422869Z TEST_SHOWLOCALS=False
2025-08-26T20:20:01.9423062Z GITHUB_WORKFLOW=inductor
2025-08-26T20:20:01.9423258Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:20:01.9423682Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9424163Z NO_TD=False
2025-08-26T20:20:01.9424345Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:20:01.9424568Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:20:01.9424800Z _=/usr/bin/env
2025-08-26T20:20:01.9425052Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-26T20:20:01.9682833Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-26T20:20:01.9683333Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-26T20:20:01.9683711Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-26T20:20:01.9684098Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-26T20:20:01.9684406Z + BUILD_DIR=build
2025-08-26T20:20:01.9684615Z + BUILD_RENAMED_DIR=build_renamed
2025-08-26T20:20:01.9684844Z + BUILD_BIN_DIR=build/bin
2025-08-26T20:20:01.9685038Z + SHARD_NUMBER=1
2025-08-26T20:20:01.9685224Z + NUM_TEST_SHARDS=2
2025-08-26T20:20:01.9685441Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:20:01.9685669Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:20:01.9685879Z + export VALGRIND=ON
2025-08-26T20:20:01.9686068Z + VALGRIND=ON
2025-08-26T20:20:01.9686288Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]]
2025-08-26T20:20:01.9686566Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:20:01.9686805Z + detect_cuda_arch
2025-08-26T20:20:01.9687024Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:20:01.9687297Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]]
2025-08-26T20:20:01.9687576Z + [[ 0 == \1 ]]
2025-08-26T20:20:01.9687756Z + [[ True == \1 ]]
2025-08-26T20:20:01.9687966Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]]
2025-08-26T20:20:01.9688237Z ++ realpath build/custom_test_artifacts
2025-08-26T20:20:01.9689383Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-26T20:20:01.9689731Z + [[ -n '' ]]
2025-08-26T20:20:01.9689923Z + echo 'Environment variables'
2025-08-26T20:20:01.9690153Z Environment variables
2025-08-26T20:20:01.9690342Z + env
2025-08-26T20:20:01.9714470Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T20:20:01.9715833Z CONTINUE_THROUGH_ERROR=True
2025-08-26T20:20:01.9716133Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-26T20:20:01.9716731Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-08-26T20:20:01.9717294Z HOSTNAME=b6d63d0faf79
2025-08-26T20:20:01.9717724Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9718148Z GITHUB_ACTION=__run_2
2025-08-26T20:20:01.9718361Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-26T20:20:01.9718594Z GITHUB_RUN_NUMBER=149891
2025-08-26T20:20:01.9718816Z TEST_CONFIG=cpu_inductor_torchbench
2025-08-26T20:20:01.9719047Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-26T20:20:01.9719293Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-26T20:20:01.9719528Z SCCACHE_IDLE_TIMEOUT=0
2025-08-26T20:20:01.9719828Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-26T20:20:01.9720062Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-26T20:20:01.9720287Z GITHUB_REF_TYPE=branch
2025-08-26T20:20:01.9720512Z BASE_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9720750Z XLA_CUDA=
2025-08-26T20:20:01.9720938Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-26T20:20:01.9721384Z HUGGING_FACE_HUB_TOKEN=***
2025-08-26T20:20:01.9721665Z ***
2025-08-26T20:20:01.9721866Z GITHUB_REPOSITORY_ID=65600975
2025-08-26T20:20:01.9722081Z GITHUB_ACTIONS=true
2025-08-26T20:20:01.9722309Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-26T20:20:01.9722579Z SHA1=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9722844Z GITHUB_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9723210Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-08-26T20:20:01.9723544Z UCC_HOME=/usr
2025-08-26T20:20:01.9723722Z TORCH_SERIALIZATION_DEBUG=1
2025-08-26T20:20:01.9723932Z VERBOSE_TEST_LOGS=False
2025-08-26T20:20:01.9724243Z GITHUB_REF=refs/heads/main
2025-08-26T20:20:01.9724439Z SHARD_NUMBER=1
2025-08-26T20:20:01.9724618Z GITHUB_REF_PROTECTED=true
2025-08-26T20:20:01.9724823Z HOME=/var/lib/jenkins
2025-08-26T20:20:01.9725046Z GITHUB_API_URL=https://api.github.com
2025-08-26T20:20:01.9725294Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-26T20:20:01.9725506Z UCX_COMMIT=
2025-08-26T20:20:01.9725680Z USE_SYSTEM_NCCL=1
2025-08-26T20:20:01.9725865Z NUM_TEST_SHARDS=2
2025-08-26T20:20:01.9726042Z UCX_HOME=/usr
2025-08-26T20:20:01.9726431Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9727041Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T20:20:01.9727621Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9728145Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-26T20:20:01.9728485Z GITHUB_EVENT_NAME=push
2025-08-26T20:20:01.9728670Z DASHBOARD_TAG=
2025-08-26T20:20:01.9728853Z GITHUB_RUN_ID=17248463670
2025-08-26T20:20:01.9729059Z INSTALLED_OPENBLAS=
2025-08-26T20:20:01.9729461Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9729891Z GITHUB_ACTOR=pytorchmergebot
2025-08-26T20:20:01.9730092Z PR_NUMBER=
2025-08-26T20:20:01.9730258Z DESIRED_CUDA=
2025-08-26T20:20:01.9730434Z GITHUB_RUN_ATTEMPT=1
2025-08-26T20:20:01.9730613Z VALGRIND=ON
2025-08-26T20:20:01.9730791Z ANACONDA_PYTHON_VERSION=3.9
2025-08-26T20:20:01.9731038Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-26T20:20:01.9731291Z TERM=vt100
2025-08-26T20:20:01.9731452Z INSTALLED_VISION=yes
2025-08-26T20:20:01.9731635Z BRANCH=main
2025-08-26T20:20:01.9731810Z SCCACHE_REGION=us-east-1
2025-08-26T20:20:01.9732014Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-26T20:20:01.9732234Z CUDA_PATH=/usr/local/cuda
2025-08-26T20:20:01.9732830Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-26T20:20:01.9733237Z GITHUB_SERVER_URL=https://github.com
2025-08-26T20:20:01.9733475Z UCC_COMMIT=
2025-08-26T20:20:01.9733631Z REENABLED_ISSUES=
2025-08-26T20:20:01.9733804Z DOCS=yes
2025-08-26T20:20:01.9734030Z SHLVL=1
2025-08-26T20:20:01.9734182Z MAX_JOBS=30
2025-08-26T20:20:01.9734351Z GITHUB_ACTOR_ID=97764156
2025-08-26T20:20:01.9734595Z GITHUB_WORKFLOW_SHA=262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T20:20:01.9734854Z GITHUB_REF_NAME=main
2025-08-26T20:20:01.9735129Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-26T20:20:01.9735438Z GITHUB_JOB=test
2025-08-26T20:20:01.9735624Z NO_TEST_TIMEOUT=False
2025-08-26T20:20:01.9735816Z TD_DISTRIBUTED=False
2025-08-26T20:20:01.9736012Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-26T20:20:01.9736240Z GITHUB_RETENTION_DAYS=90
2025-08-26T20:20:01.9736445Z OPENSSL_DIR=/opt/openssl
2025-08-26T20:20:01.9736646Z GITHUB_ACTION_REPOSITORY=
2025-08-26T20:20:01.9737152Z 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
2025-08-26T20:20:01.9737659Z GITHUB_BASE_REF=
2025-08-26T20:20:01.9737836Z INSTALLED_ACL=
2025-08-26T20:20:01.9738133Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T20:20:01.9738456Z CI=true
2025-08-26T20:20:01.9738620Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-26T20:20:01.9738879Z RUST_LOG=sccache::server=error
2025-08-26T20:20:01.9739077Z JOB_ID=48946862592
2025-08-26T20:20:01.9739238Z GITHUB_HEAD_REF=
2025-08-26T20:20:01.9739416Z GITHUB_ACTION_REF=
2025-08-26T20:20:01.9739641Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-26T20:20:01.9739897Z TEST_SHOWLOCALS=False
2025-08-26T20:20:01.9740081Z GITHUB_WORKFLOW=inductor
2025-08-26T20:20:01.9740285Z DEBIAN_FRONTEND=noninteractive
2025-08-26T20:20:01.9740792Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_fdeeb52c-4819-4529-b651-3e6af85b3d34
2025-08-26T20:20:01.9741210Z NO_TD=False
2025-08-26T20:20:01.9741392Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-26T20:20:01.9741617Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-26T20:20:01.9741844Z _=/usr/bin/env
2025-08-26T20:20:01.9742029Z + echo 'Testing pytorch'
2025-08-26T20:20:01.9742221Z Testing pytorch
2025-08-26T20:20:01.9742428Z + export LANG=C.UTF-8
2025-08-26T20:20:01.9742622Z + LANG=C.UTF-8
2025-08-26T20:20:01.9742807Z + PR_NUMBER=
2025-08-26T20:20:01.9743008Z + [[ cpu_inductor_torchbench == \d\e\f\a\u\l\t ]]
2025-08-26T20:20:01.9743279Z + [[ cpu_inductor_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-26T20:20:01.9743541Z + [[ cpu_inductor_torchbench == \s\l\o\w ]]
2025-08-26T20:20:01.9743818Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]]
2025-08-26T20:20:01.9744110Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:20:01.9744372Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:20:01.9744636Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:20:01.9744899Z + [[ cpu_inductor_torchbench == *crossref* ]]
2025-08-26T20:20:01.9745155Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-26T20:20:01.9745410Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-26T20:20:01.9745686Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-26T20:20:01.9745944Z + pip_install ninja==1.10.2
2025-08-26T20:20:01.9746217Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:20:01.9746537Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-26T20:20:02.3787045Z Collecting ninja==1.10.2
2025-08-26T20:20:02.3890345Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-26T20:20:02.4053144Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-26T20:20:03.2011215Z Installing collected packages: ninja
2025-08-26T20:20:03.2011552Z   Attempting uninstall: ninja
2025-08-26T20:20:03.2018617Z     Found existing installation: ninja 1.11.1.3
2025-08-26T20:20:03.2046258Z     Uninstalling ninja-1.11.1.3:
2025-08-26T20:20:03.2130166Z       Successfully uninstalled ninja-1.11.1.3
2025-08-26T20:20:03.3600231Z Successfully installed ninja-1.10.2
2025-08-26T20:20:03.4923380Z + 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
2025-08-26T20:20:03.4924449Z + 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
2025-08-26T20:20:03.4925113Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-26T20:20:03.4925424Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]]
2025-08-26T20:20:03.4925743Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]]
2025-08-26T20:20:03.4926029Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-26T20:20:03.4926433Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass'
2025-08-26T20:20:03.4926904Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass
2025-08-26T20:20:03.4927712Z + cd test
2025-08-26T20:20:03.4928127Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-26T20:20:04.8039286Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-26T20:20:04.8043598Z + [[ cpu_inductor_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-26T20:20:04.8044183Z + [[ cpu_inductor_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-26T20:20:04.8044497Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-26T20:20:04.8044752Z + [[ cpu_inductor_torchbench == *pr_time_benchmarks* ]]
2025-08-26T20:20:04.8045032Z + [[ cpu_inductor_torchbench == *dynamo_eager* ]]
2025-08-26T20:20:04.8045825Z + [[ cpu_inductor_torchbench == *aot_eager* ]]
2025-08-26T20:20:04.8046094Z + [[ cpu_inductor_torchbench == *aot_inductor* ]]
2025-08-26T20:20:04.8046395Z + [[ cpu_inductor_torchbench == *max_autotune_inductor* ]]
2025-08-26T20:20:04.8046707Z + [[ cpu_inductor_torchbench == *inductor* ]]
2025-08-26T20:20:04.8046952Z + [[ cpu_inductor_torchbench != *perf* ]]
2025-08-26T20:20:04.8047690Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-08-26T20:20:04.8047955Z + [[ cpu_inductor_torchbench == *dynamic* ]]
2025-08-26T20:20:04.8048199Z + [[ cpu_inductor_torchbench == *cpu* ]]
2025-08-26T20:20:04.8048438Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-08-26T20:20:04.8289194Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-26T20:20:04.8289580Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]]
2025-08-26T20:20:04.8290936Z + cd test
2025-08-26T20:20:04.8291194Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-26T20:20:05.8572571Z PyTorch built with:
2025-08-26T20:20:05.8572946Z   - GCC 11.4
2025-08-26T20:20:05.8573140Z   - C++ Version: 201703
2025-08-26T20:20:05.8573560Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:20:05.8574050Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:20:05.8574371Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:20:05.8574647Z   - LAPACK is enabled (usually provided by MKL)
2025-08-26T20:20:05.8574894Z   - NNPACK is enabled
2025-08-26T20:20:05.8575101Z   - CPU capability usage: AVX512
2025-08-26T20:20:05.8578408Z   - 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, 
2025-08-26T20:20:05.8581618Z 
2025-08-26T20:20:06.1183437Z + cd test
2025-08-26T20:20:06.1183792Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-26T20:20:07.1499065Z ATen/Parallel:
2025-08-26T20:20:07.1504043Z 	at::get_num_threads() : 16
2025-08-26T20:20:07.1508301Z 	at::get_num_interop_threads() : 16
2025-08-26T20:20:07.1510368Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-26T20:20:07.1510634Z 	omp_get_max_threads() : 16
2025-08-26T20:20:07.1511004Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-26T20:20:07.1511358Z 	mkl_get_max_threads() : 16
2025-08-26T20:20:07.1511641Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-26T20:20:07.1511978Z std::thread::hardware_concurrency() : 32
2025-08-26T20:20:07.1512192Z Environment variables:
2025-08-26T20:20:07.1512369Z 	OMP_NUM_THREADS : [not set]
2025-08-26T20:20:07.1512557Z 	MKL_NUM_THREADS : [not set]
2025-08-26T20:20:07.1512746Z ATen parallel backend: OpenMP
2025-08-26T20:20:07.1512867Z 
2025-08-26T20:20:07.3745979Z + [[ cpu_inductor_torchbench == *numpy_2* ]]
2025-08-26T20:20:07.3746331Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-26T20:20:07.3746608Z + [[ cpu_inductor_torchbench == *backward* ]]
2025-08-26T20:20:07.3747232Z + [[ cpu_inductor_torchbench == *xla* ]]
2025-08-26T20:20:07.3747478Z + [[ cpu_inductor_torchbench == *vllm* ]]
2025-08-26T20:20:07.3747732Z + [[ cpu_inductor_torchbench == *executorch* ]]
2025-08-26T20:20:07.3748000Z + [[ cpu_inductor_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-26T20:20:07.3748286Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-26T20:20:07.3748596Z + [[ cpu_inductor_torchbench == distributed ]]
2025-08-26T20:20:07.3748866Z + [[ cpu_inductor_torchbench == *operator_benchmark* ]]
2025-08-26T20:20:07.3749152Z + [[ cpu_inductor_torchbench == *inductor_distributed* ]]
2025-08-26T20:20:07.3749437Z + [[ cpu_inductor_torchbench == *inductor-halide* ]]
2025-08-26T20:20:07.3749719Z + [[ cpu_inductor_torchbench == *inductor-triton-cpu* ]]
2025-08-26T20:20:07.3750022Z + [[ cpu_inductor_torchbench == *inductor-micro-benchmark* ]]
2025-08-26T20:20:07.3750308Z + [[ cpu_inductor_torchbench == *huggingface* ]]
2025-08-26T20:20:07.3750554Z + [[ cpu_inductor_torchbench == *timm* ]]
2025-08-26T20:20:07.3750789Z + [[ cpu_inductor_torchbench == cachebench ]]
2025-08-26T20:20:07.3751039Z + [[ cpu_inductor_torchbench == verify_cachebench ]]
2025-08-26T20:20:07.3751285Z + [[ cpu_inductor_torchbench == *torchbench* ]]
2025-08-26T20:20:07.3751511Z + install_torchaudio
2025-08-26T20:20:07.3751682Z + local commit
2025-08-26T20:20:07.3751872Z ++ get_pinned_commit audio
2025-08-26T20:20:07.3752081Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-26T20:20:07.4218925Z + commit=10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:20:07.4219492Z + pip_build_and_install git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922 dist/audio
2025-08-26T20:20:07.4220066Z + local build_target=git+https://github.com/pytorch/audio.git@10a5002c6195bd95e34df8fe28ff8a2d55a2a922
2025-08-26T20:20:07.4220454Z + local wheel_dir=dist/audio
2025-08-26T20:20:07.4220689Z + local found_whl=0
2025-08-26T20:20:07.4220890Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:20:07.4221249Z + [[ -f dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl ]]
2025-08-26T20:20:07.4221566Z + found_whl=1
2025-08-26T20:20:07.4221736Z + break
2025-08-26T20:20:07.4221897Z + '[' 1 == 0 ']'
2025-08-26T20:20:07.4222076Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:20:07.4222406Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:07.4223174Z + args=('dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:20:07.4223489Z + local args
2025-08-26T20:20:07.4223773Z + [[ dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:20:07.4224103Z + for path in "${args[@]}"
2025-08-26T20:20:07.4224427Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:20:07.4224858Z Installing dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:07.4225458Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:07.7301392Z Processing ./dist/audio/torchaudio-2.8.0a0+10a5002-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:07.7358309Z Installing collected packages: torchaudio
2025-08-26T20:20:07.9097777Z Successfully installed torchaudio-2.8.0a0+10a5002
2025-08-26T20:20:07.9578051Z + install_torchvision
2025-08-26T20:20:07.9578392Z + local orig_preload
2025-08-26T20:20:07.9578623Z + local commit
2025-08-26T20:20:07.9583700Z ++ get_pinned_commit vision
2025-08-26T20:20:07.9584010Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-26T20:20:07.9588401Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:20:07.9588704Z + orig_preload=
2025-08-26T20:20:07.9589314Z + '[' -n '' ']'
2025-08-26T20:20:07.9589627Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-26T20:20:07.9590153Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-26T20:20:07.9590753Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-26T20:20:07.9591505Z + local wheel_dir=dist/vision
2025-08-26T20:20:07.9591727Z + local found_whl=0
2025-08-26T20:20:07.9591946Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:20:07.9592303Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]]
2025-08-26T20:20:07.9592627Z + found_whl=1
2025-08-26T20:20:07.9592812Z + break
2025-08-26T20:20:07.9592977Z + '[' 1 == 0 ']'
2025-08-26T20:20:07.9593169Z + for file in "${wheel_dir}"/*.whl
2025-08-26T20:20:07.9593517Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:07.9593975Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-26T20:20:07.9594294Z + local args
2025-08-26T20:20:07.9594582Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-26T20:20:07.9594922Z + for path in "${args[@]}"
2025-08-26T20:20:07.9595255Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-26T20:20:07.9595725Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:07.9596253Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:08.2643924Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-26T20:20:08.2727190Z Installing collected packages: torchvision
2025-08-26T20:20:08.6595531Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-26T20:20:08.7092981Z + '[' -n '' ']'
2025-08-26T20:20:08.7093255Z + id=0
2025-08-26T20:20:08.7096463Z + pip_install opencv-python==4.8.0.74
2025-08-26T20:20:08.7096799Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-26T20:20:08.7097158Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-26T20:20:09.0974398Z Collecting opencv-python==4.8.0.74
2025-08-26T20:20:09.1153373Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-26T20:20:09.1258282Z 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)
2025-08-26T20:20:09.1381181Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-26T20:20:10.3404939Z Installing collected packages: opencv-python
2025-08-26T20:20:10.3405554Z   Attempting uninstall: opencv-python
2025-08-26T20:20:10.3410679Z     Found existing installation: opencv-python 4.11.0.86
2025-08-26T20:20:10.3477118Z     Uninstalling opencv-python-4.11.0.86:
2025-08-26T20:20:10.4319303Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-26T20:20:11.2978510Z Successfully installed opencv-python-4.8.0.74
2025-08-26T20:20:11.4335350Z + [[ cpu_inductor_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-08-26T20:20:11.4335831Z + [[ cpu_inductor_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-26T20:20:11.4336238Z + [[ cpu_inductor_torchbench == *torchbench_gcp_smoketest* ]]
2025-08-26T20:20:11.4336534Z + [[ cpu_inductor_torchbench != *cpu* ]]
2025-08-26T20:20:11.4336786Z + PYTHONPATH=/torchbench
2025-08-26T20:20:11.4337007Z + test_dynamo_benchmark torchbench 0
2025-08-26T20:20:11.4337290Z ++ pwd
2025-08-26T20:20:11.4338659Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:20:11.4338986Z + local suite=torchbench
2025-08-26T20:20:11.4339179Z + shift
2025-08-26T20:20:11.4339350Z + local shard_id=0
2025-08-26T20:20:11.4339532Z + shift
2025-08-26T20:20:11.4339733Z + [[ cpu_inductor_torchbench == *perf_compare* ]]
2025-08-26T20:20:11.4339994Z + [[ cpu_inductor_torchbench == *perf* ]]
2025-08-26T20:20:11.4340293Z + [[ cpu_inductor_torchbench == *cpu* ]]
2025-08-26T20:20:11.4340514Z + local dt=float32
2025-08-26T20:20:11.4340702Z + [[ cpu_inductor_torchbench == *amp* ]]
2025-08-26T20:20:11.4340940Z + [[ cpu_inductor_torchbench == *freezing* ]]
2025-08-26T20:20:11.4341675Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32
2025-08-26T20:20:11.4345850Z ++ pwd
2025-08-26T20:20:11.4346312Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:20:11.4346785Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-26T20:20:11.4363392Z + local name=inference
2025-08-26T20:20:11.4363666Z + shift
2025-08-26T20:20:11.4363855Z + local suite=torchbench
2025-08-26T20:20:11.4364055Z + shift
2025-08-26T20:20:11.4364227Z + local shard_id=0
2025-08-26T20:20:11.4364410Z + shift
2025-08-26T20:20:11.4364579Z + partition_flags=()
2025-08-26T20:20:11.4364782Z + local partition_flags
2025-08-26T20:20:11.4364976Z + [[ -n 2 ]]
2025-08-26T20:20:11.4365144Z + [[ -n 0 ]]
2025-08-26T20:20:11.4365449Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-26T20:20:11.4365832Z + [[ cpu_inductor_torchbench == *perf_compare* ]]
2025-08-26T20:20:11.4366089Z + [[ cpu_inductor_torchbench == *perf* ]]
2025-08-26T20:20:11.4366349Z + [[ cpu_inductor_torchbench == *_avx2* ]]
2025-08-26T20:20:11.4366595Z + [[ cpu_inductor_torchbench == *_avx512* ]]
2025-08-26T20:20:11.4367408Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-08-26T20:20:16.7815561Z 
2025-08-26T20:20:18.4648404Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:20:18.4648732Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:20:18.4668997Z cpu  eval  BERT_pytorch                       
2025-08-26T20:20:19.0819030Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:19.3790751Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:19.7857771Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:29.2308285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2312088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2316995Z     return mod(*inputs)
2025-08-26T20:20:29.2322872Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2323456Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2323876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-08-26T20:20:29.2324333Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-08-26T20:20:29.2324542Z 
2025-08-26T20:20:29.2324676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2325120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2325530Z     return mod(*inputs)
2025-08-26T20:20:29.2325921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2326337Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2326724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-08-26T20:20:29.2327140Z     x = self.embedding(x, segment_info)
2025-08-26T20:20:29.2327576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-08-26T20:20:29.2328086Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-08-26T20:20:29.2328338Z 
2025-08-26T20:20:29.2328461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2328890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2329265Z     return mod(*inputs)
2025-08-26T20:20:29.2329657Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2330179Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2330560Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2330957Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2331375Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2331809Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2332248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2332916Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2333396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2333869Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2334350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2334774Z     query, key, value = [
2025-08-26T20:20:29.2335222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2335744Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2335940Z 
2025-08-26T20:20:29.2336062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2336465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2336823Z     return mod(*inputs)
2025-08-26T20:20:29.2337206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2337623Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2337999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2338406Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2338804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2339245Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2339750Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2340211Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2340639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2341083Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2341542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2341983Z     query, key, value = [
2025-08-26T20:20:29.2342402Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2342870Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2343059Z 
2025-08-26T20:20:29.2343179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2343585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2343963Z     return mod(*inputs)
2025-08-26T20:20:29.2344336Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2344740Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2345110Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2345509Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2345907Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2346369Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2346797Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2347252Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2347698Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2348139Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2348599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2349108Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2349598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2350123Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2350523Z 
2025-08-26T20:20:29.2350661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2351064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2351435Z     return mod(*inputs)
2025-08-26T20:20:29.2351822Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2352230Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2352605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2352989Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2353398Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2353830Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2354260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2354714Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2355150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2355635Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2356097Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2356585Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2357046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2357556Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2357794Z 
2025-08-26T20:20:29.2357916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2358320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2358684Z     return mod(*inputs)
2025-08-26T20:20:29.2359056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2359466Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2359844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2360225Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2360613Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2361032Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2361460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2361948Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2362381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2362811Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2363276Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2363762Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2364236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2364731Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2364958Z 
2025-08-26T20:20:29.2365081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2365492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2365857Z     return mod(*inputs)
2025-08-26T20:20:29.2366233Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2366642Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2367008Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2367390Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2367785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2368211Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2368624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2369078Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2369507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2369958Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2370416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2370831Z     query, key, value = [
2025-08-26T20:20:29.2371285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2371764Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2371947Z 
2025-08-26T20:20:29.2372075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2372561Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2372926Z     return mod(*inputs)
2025-08-26T20:20:29.2373300Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2373713Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2374088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2374475Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2374874Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2375304Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2375731Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2376176Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2376601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2377039Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2377982Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2378551Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2379021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2379451Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2379621Z 
2025-08-26T20:20:29.2379744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2380144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2380505Z     return mod(*inputs)
2025-08-26T20:20:29.2380876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2381284Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2381664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2382053Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2382455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2382866Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2383294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2383738Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2384175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2384612Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2385067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2385548Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2386021Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2386455Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2386615Z 
2025-08-26T20:20:29.2386735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2387224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2387587Z     return mod(*inputs)
2025-08-26T20:20:29.2387961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2388371Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2388737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2389125Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2389519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2389948Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2390364Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2390822Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2391258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2391700Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2392162Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2392653Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2392874Z 
2025-08-26T20:20:29.2392995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2393394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2393813Z     return mod(*inputs)
2025-08-26T20:20:29.2394185Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2394587Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2394960Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2395345Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2395738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2396156Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2396574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2397024Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2397455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2397893Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2398341Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2398766Z     return self.output_linear(x)
2025-08-26T20:20:29.2398915Z 
2025-08-26T20:20:29.2399036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2399436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2399796Z     return mod(*inputs)
2025-08-26T20:20:29.2400162Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2400566Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2400938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2401319Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2401710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2402147Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2402570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2404050Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2404519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2404980Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2405181Z 
2025-08-26T20:20:29.2405303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2405701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2406062Z     return mod(*inputs)
2025-08-26T20:20:29.2406427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2407130Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2407513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2407898Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2408299Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2408711Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2409139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2409586Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2410039Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2410517Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2410812Z 
2025-08-26T20:20:29.2410931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2411331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2411708Z     return mod(*inputs)
2025-08-26T20:20:29.2412084Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2412556Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2412938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2413316Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2413715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2414130Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2414543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2414996Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2415442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2415912Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2416102Z 
2025-08-26T20:20:29.2416227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2416621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2416986Z     return mod(*inputs)
2025-08-26T20:20:29.2417359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2417766Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2418140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2418527Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2418920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2419343Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2419833Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2420284Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2420713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2421152Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2421614Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2422043Z     query, key, value = [
2025-08-26T20:20:29.2422457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2422943Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2423126Z 
2025-08-26T20:20:29.2423251Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2423656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2424027Z     return mod(*inputs)
2025-08-26T20:20:29.2424409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2424815Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2425186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2425578Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2425966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2426431Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2426858Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2427306Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2427735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2428171Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2428635Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2429056Z     query, key, value = [
2025-08-26T20:20:29.2429466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2429932Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2430120Z 
2025-08-26T20:20:29.2430240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2430645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2431007Z     return mod(*inputs)
2025-08-26T20:20:29.2431380Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2431780Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2432152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2432536Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2432931Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2433340Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2433765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2434218Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2434650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2435085Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2435605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2436097Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2436570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2437077Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2437309Z 
2025-08-26T20:20:29.2437439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2437835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2438202Z     return mod(*inputs)
2025-08-26T20:20:29.2438578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2438985Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2439356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2439738Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2440139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2440558Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2440979Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2441418Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2441846Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2442338Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2442800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2443288Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2443756Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2444257Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2444494Z 
2025-08-26T20:20:29.2444616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2445019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2445375Z     return mod(*inputs)
2025-08-26T20:20:29.2445756Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2446170Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2446548Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2446934Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2447326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2447748Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2448171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2448619Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2449044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2449483Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2449946Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2450431Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2450900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2451446Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2451685Z 
2025-08-26T20:20:29.2451807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2452206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2452659Z     return mod(*inputs)
2025-08-26T20:20:29.2453041Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2453440Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2453823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2454209Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2454605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2455025Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2455443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2455895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2456331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2456774Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2457228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2457709Z     query, key, value = [
2025-08-26T20:20:29.2458123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2458603Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2458790Z 
2025-08-26T20:20:29.2458920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2459316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2459694Z     return mod(*inputs)
2025-08-26T20:20:29.2460072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2460497Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2460868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2461262Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2461649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2462057Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2462472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2462919Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2463357Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2463791Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2464252Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2464742Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2465209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2465653Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2465834Z 
2025-08-26T20:20:29.2465951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2466341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2466709Z     return mod(*inputs)
2025-08-26T20:20:29.2467117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2467535Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2467912Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2468302Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2468686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2469104Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2469540Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2469992Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2470434Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2470876Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2471341Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2471843Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2472322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2472767Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2472946Z 
2025-08-26T20:20:29.2473067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2473507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2473869Z     return mod(*inputs)
2025-08-26T20:20:29.2474238Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2474643Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2475017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2475399Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2475793Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2476207Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2476618Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2477067Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2477501Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2477938Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2478384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2478885Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2479106Z 
2025-08-26T20:20:29.2479227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2479649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2480007Z     return mod(*inputs)
2025-08-26T20:20:29.2480373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2480775Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2481154Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2481535Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2481921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2482335Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2482801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2483248Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2483685Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2484112Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2484574Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2485004Z     return self.output_linear(x)
2025-08-26T20:20:29.2485145Z 
2025-08-26T20:20:29.2485276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2485679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2486035Z     return mod(*inputs)
2025-08-26T20:20:29.2486413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2486815Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2487191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2487566Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2487969Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2488384Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2488806Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2489289Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2489735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2490208Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2490404Z 
2025-08-26T20:20:29.2490526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2490927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2491309Z     return mod(*inputs)
2025-08-26T20:20:29.2491679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2492084Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2492545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2492961Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2493353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2493780Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2494208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2494658Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2495111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2495573Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2495772Z 
2025-08-26T20:20:29.2495892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2496293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2496669Z     return mod(*inputs)
2025-08-26T20:20:29.2497043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2497448Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2497823Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2498276Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2498678Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2499090Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2499504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2499949Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2500401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2500881Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2501070Z 
2025-08-26T20:20:29.2501188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2501583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2501942Z     return mod(*inputs)
2025-08-26T20:20:29.2502316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2502716Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2503089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2503472Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2503870Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2504291Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2504752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2505202Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2505390Z 
2025-08-26T20:20:29.2505508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2505913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2506276Z     return mod(*inputs)
2025-08-26T20:20:29.2506878Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2507296Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2507675Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2508057Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2508444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2508872Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2509298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2509754Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2510191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2510629Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2511096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2511532Z     query, key, value = [
2025-08-26T20:20:29.2511950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2512414Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2512611Z 
2025-08-26T20:20:29.2512733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2513134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2513514Z     return mod(*inputs)
2025-08-26T20:20:29.2513991Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2514391Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2514762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2515143Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2515539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2515960Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2516374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2516826Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2517264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2517705Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2518159Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2518584Z     query, key, value = [
2025-08-26T20:20:29.2518999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2519469Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2519649Z 
2025-08-26T20:20:29.2519775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2520164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2520586Z     return mod(*inputs)
2025-08-26T20:20:29.2520962Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2521378Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2521756Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2522148Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2522541Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2522959Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2523385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2523832Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2524267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2524705Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2525165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2525655Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2526124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2526633Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2526868Z 
2025-08-26T20:20:29.2526990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2527387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2527757Z     return mod(*inputs)
2025-08-26T20:20:29.2528126Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2528533Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2528904Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2529284Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2529715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2530135Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2530558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2531007Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2531438Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2531869Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2532329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2532911Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2533393Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2533916Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2534148Z 
2025-08-26T20:20:29.2534271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2534674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2535055Z     return mod(*inputs)
2025-08-26T20:20:29.2535438Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2535840Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2536271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2536665Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2537069Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2537491Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2537908Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2538359Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2538789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2539230Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2539689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2540169Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2540642Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2541149Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2541376Z 
2025-08-26T20:20:29.2541509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2541902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2542265Z     return mod(*inputs)
2025-08-26T20:20:29.2542637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2543045Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2543418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2543791Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2544191Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2544610Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2545031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2545538Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2545963Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2546394Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2546852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2547269Z     query, key, value = [
2025-08-26T20:20:29.2547671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2548150Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2548339Z 
2025-08-26T20:20:29.2548458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2548861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2549215Z     return mod(*inputs)
2025-08-26T20:20:29.2549579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2549984Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2550352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2550732Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2551121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2551539Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2552013Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2552460Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2552896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2553325Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2553791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2554293Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2554765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2555199Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2555360Z 
2025-08-26T20:20:29.2555496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2555903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2556262Z     return mod(*inputs)
2025-08-26T20:20:29.2556633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2557041Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2557418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2557807Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2558200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2558611Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2559023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2559476Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2559909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2560344Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2560842Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2561326Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2561799Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2562241Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2562402Z 
2025-08-26T20:20:29.2562528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2562930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2563299Z     return mod(*inputs)
2025-08-26T20:20:29.2563680Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2564089Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2564465Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2564853Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2565254Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2565673Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2566100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2566550Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2566975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2567518Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2567995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2568503Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2568722Z 
2025-08-26T20:20:29.2568854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2569256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2569636Z     return mod(*inputs)
2025-08-26T20:20:29.2570019Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2570442Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2570826Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2571217Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2571626Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2572050Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2572578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2573036Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2573478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2573925Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2574390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2574831Z     return self.output_linear(x)
2025-08-26T20:20:29.2574984Z 
2025-08-26T20:20:29.2575107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2575515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2575883Z     return mod(*inputs)
2025-08-26T20:20:29.2576262Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2576667Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2577094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2577481Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2577876Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2578293Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2578718Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2579172Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2579629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2580099Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2580291Z 
2025-08-26T20:20:29.2580411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2580810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2581170Z     return mod(*inputs)
2025-08-26T20:20:29.2581545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2581949Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2582311Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2582694Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2583088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2583547Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2583959Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2584399Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2584857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2585318Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2585503Z 
2025-08-26T20:20:29.2585630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2586016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2586376Z     return mod(*inputs)
2025-08-26T20:20:29.2586744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2587151Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2587514Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2587894Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2588291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2588707Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2589126Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2589558Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2590009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2590468Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2590651Z 
2025-08-26T20:20:29.2590781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2591177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2591529Z     return mod(*inputs)
2025-08-26T20:20:29.2591899Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2592357Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2592737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2593131Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2593535Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2593960Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2594388Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2594849Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2595277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2595720Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2596189Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2596618Z     query, key, value = [
2025-08-26T20:20:29.2597038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2597516Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2597710Z 
2025-08-26T20:20:29.2597833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2598235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2598600Z     return mod(*inputs)
2025-08-26T20:20:29.2599010Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2599427Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2599807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2600212Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2600617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2601033Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2601456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2601908Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2602346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2602793Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2603261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2603689Z     query, key, value = [
2025-08-26T20:20:29.2604123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2604615Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2604802Z 
2025-08-26T20:20:29.2604926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2605333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2605710Z     return mod(*inputs)
2025-08-26T20:20:29.2606091Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2606741Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2607141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2607535Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2607938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2608466Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2608896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2609347Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2609788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2610239Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2610710Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2611211Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2611707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2612218Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2612506Z 
2025-08-26T20:20:29.2612651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2613059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2613413Z     return mod(*inputs)
2025-08-26T20:20:29.2613790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2614201Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2614577Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2615036Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2615442Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2615864Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2616290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2616739Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2617168Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2617607Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2618066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2618569Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2619042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2619543Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2619780Z 
2025-08-26T20:20:29.2619903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2620308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2620672Z     return mod(*inputs)
2025-08-26T20:20:29.2621047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2621445Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2621816Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2622209Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2622600Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2623018Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2623438Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2623878Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2624356Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2624800Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2625245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2625728Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2626195Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2626688Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2626914Z 
2025-08-26T20:20:29.2627042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2627433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2627793Z     return mod(*inputs)
2025-08-26T20:20:29.2628176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2628585Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2628954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2629333Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2629727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2630145Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2630564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2631051Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2631487Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2631941Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2632405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2632819Z     query, key, value = [
2025-08-26T20:20:29.2633233Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2633713Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2633894Z 
2025-08-26T20:20:29.2634021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2634422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2634782Z     return mod(*inputs)
2025-08-26T20:20:29.2635153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2635558Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2635937Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2636318Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2636711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2637134Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2637558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2638014Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2638428Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2638853Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2639301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2639835Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2640291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2640700Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2640863Z 
2025-08-26T20:20:29.2640980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2641364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2641713Z     return mod(*inputs)
2025-08-26T20:20:29.2642075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2642474Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2642841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2643219Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2643602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2643998Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2644410Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2644841Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2645258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2645693Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2646200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2646691Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2647160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2647606Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2647766Z 
2025-08-26T20:20:29.2647893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2648285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2648664Z     return mod(*inputs)
2025-08-26T20:20:29.2649040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2649451Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2649825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2650220Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2650615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2651029Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2651452Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2651898Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2652326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2652854Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2653320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2653874Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2654095Z 
2025-08-26T20:20:29.2654215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2654615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2654976Z     return mod(*inputs)
2025-08-26T20:20:29.2655399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2655803Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2656180Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2656573Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2656967Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2657385Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2657800Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2658249Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2658681Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2659118Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2659573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2659998Z     return self.output_linear(x)
2025-08-26T20:20:29.2660146Z 
2025-08-26T20:20:29.2660265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2660662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2661041Z     return mod(*inputs)
2025-08-26T20:20:29.2661409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2661855Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2662226Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2662620Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2663012Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2663421Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2663840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2664283Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2664737Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2665192Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2665387Z 
2025-08-26T20:20:29.2665511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2665905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2666263Z     return mod(*inputs)
2025-08-26T20:20:29.2666638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2667045Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2667418Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2667800Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2668195Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2668604Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2669024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2669475Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2669927Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2670391Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2670580Z 
2025-08-26T20:20:29.2670756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2671153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2671509Z     return mod(*inputs)
2025-08-26T20:20:29.2671881Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2672286Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2672649Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2673027Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2673420Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2673834Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2674244Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2674687Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2675135Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2675598Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2675785Z 
2025-08-26T20:20:29.2675911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2676295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2676654Z     return mod(*inputs)
2025-08-26T20:20:29.2677026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2677479Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2677852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2678238Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2678633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2679049Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2679462Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2679903Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2680090Z 
2025-08-26T20:20:29.2680208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2680600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2680961Z     return mod(*inputs)
2025-08-26T20:20:29.2681331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2681732Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2682103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2682490Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2682889Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2683300Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2683722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2684164Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2684599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2685037Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2685487Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2685903Z     query, key, value = [
2025-08-26T20:20:29.2686357Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2686836Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2687019Z 
2025-08-26T20:20:29.2687148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2687538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2687901Z     return mod(*inputs)
2025-08-26T20:20:29.2688278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2688686Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2689050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2689430Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2689828Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2690250Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2690672Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2691109Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2691543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2691982Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2692538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2693053Z     query, key, value = [
2025-08-26T20:20:29.2693454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2693928Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2694116Z 
2025-08-26T20:20:29.2694242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2694641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2694996Z     return mod(*inputs)
2025-08-26T20:20:29.2695373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2695782Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2696158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2696543Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2696930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2697350Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2697765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2698207Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2698629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2699063Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2699519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2700018Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2700493Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2700986Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2701220Z 
2025-08-26T20:20:29.2701340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2701780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2702131Z     return mod(*inputs)
2025-08-26T20:20:29.2702496Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2702882Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2703245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2703620Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2704014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2704425Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2704854Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2705292Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2705715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2706141Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2706722Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2707230Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2707695Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2708199Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2708527Z 
2025-08-26T20:20:29.2708657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2709052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2709415Z     return mod(*inputs)
2025-08-26T20:20:29.2709791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2710201Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2710570Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2710953Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2711352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2711775Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2712199Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2712643Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2713064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2713488Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2713939Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2714420Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2714883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2715386Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2715619Z 
2025-08-26T20:20:29.2715743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2716144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2739790Z     return mod(*inputs)
2025-08-26T20:20:29.2740413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2740856Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2741421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2741830Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2742237Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2742669Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2743107Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2743568Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2744017Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2744468Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2744943Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2745377Z     query, key, value = [
2025-08-26T20:20:29.2745804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2746286Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2746488Z 
2025-08-26T20:20:29.2746617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2747033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2747408Z     return mod(*inputs)
2025-08-26T20:20:29.2747794Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2748276Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2748661Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2749050Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2749456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2749875Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2750303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2750755Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2751199Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2751645Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2752108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2752600Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2753078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2753521Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2753684Z 
2025-08-26T20:20:29.2753817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2754215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2754584Z     return mod(*inputs)
2025-08-26T20:20:29.2754964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2755373Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2755742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2756131Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2756529Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2756953Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2757414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2757857Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2758305Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2758756Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2759232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2759759Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2760241Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2760684Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2760859Z 
2025-08-26T20:20:29.2760982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2761399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2761775Z     return mod(*inputs)
2025-08-26T20:20:29.2762157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2762578Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2762965Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2763377Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2763785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2764247Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2764668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2765117Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2765542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2765979Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2766437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2766938Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2767150Z 
2025-08-26T20:20:29.2767268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2767673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2768033Z     return mod(*inputs)
2025-08-26T20:20:29.2768407Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2768832Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2769200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2769604Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2770012Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2770441Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2770865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2771334Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2771782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2772230Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2772811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2773303Z     return self.output_linear(x)
2025-08-26T20:20:29.2773458Z 
2025-08-26T20:20:29.2773584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2773819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2773899Z     return mod(*inputs)
2025-08-26T20:20:29.2774164Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2774260Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2774497Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2774599Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2774867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2774976Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2775267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2775399Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2775692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2775830Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2775835Z 
2025-08-26T20:20:29.2775965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2776190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2776313Z     return mod(*inputs)
2025-08-26T20:20:29.2776585Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2776668Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2776958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2777043Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2777283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2777391Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2777642Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2777767Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2778024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2778165Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2778169Z 
2025-08-26T20:20:29.2778288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2778500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2778585Z     return mod(*inputs)
2025-08-26T20:20:29.2778834Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2778920Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2779142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2779224Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2779471Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2779570Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2779827Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2779945Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2780236Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2780373Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2780377Z 
2025-08-26T20:20:29.2780491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2780712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2780785Z     return mod(*inputs)
2025-08-26T20:20:29.2781040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2781121Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2781347Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2781439Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2781682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2781792Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2782045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2782163Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2782417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2782539Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2782815Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2782952Z     query, key, value = [
2025-08-26T20:20:29.2783234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2783357Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2783361Z 
2025-08-26T20:20:29.2783475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2783697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2783771Z     return mod(*inputs)
2025-08-26T20:20:29.2784024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2784104Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2784323Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2784414Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2784653Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2784763Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2785007Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2785128Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2785374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2785496Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2785766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2785843Z     query, key, value = [
2025-08-26T20:20:29.2786122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2786246Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2786250Z 
2025-08-26T20:20:29.2786364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2786587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2786660Z     return mod(*inputs)
2025-08-26T20:20:29.2786955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2787038Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2787261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2787350Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2787591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2787698Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2787945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2788066Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2788320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2788442Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2788717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2788862Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2789134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2789305Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2789308Z 
2025-08-26T20:20:29.2789422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2789686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2789759Z     return mod(*inputs)
2025-08-26T20:20:29.2790018Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2790098Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2790328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2790419Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2790660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2790764Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2791013Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2791141Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2791383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2791500Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2791772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2791916Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2792179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2792346Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2792350Z 
2025-08-26T20:20:29.2792463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2792681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2792756Z     return mod(*inputs)
2025-08-26T20:20:29.2793014Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2793093Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2793332Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2793490Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2793734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2793841Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2794085Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2794209Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2794449Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2794570Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2794849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2794988Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2795257Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2795420Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2795423Z 
2025-08-26T20:20:29.2795546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2795757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2795829Z     return mod(*inputs)
2025-08-26T20:20:29.2796086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2796201Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2796440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2796523Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2796766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2796872Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2797120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2797245Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2797482Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2797600Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2797871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2797951Z     query, key, value = [
2025-08-26T20:20:29.2798246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2798366Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2798374Z 
2025-08-26T20:20:29.2798496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2798708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2798781Z     return mod(*inputs)
2025-08-26T20:20:29.2799031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2799111Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2799337Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2799424Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2799667Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2799773Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2800062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2800191Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2800430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2800549Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2800819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2800959Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2801225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2801324Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2801328Z 
2025-08-26T20:20:29.2801446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2801663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2801735Z     return mod(*inputs)
2025-08-26T20:20:29.2801990Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2802069Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2802298Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2802381Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2802695Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2802854Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2803098Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2803222Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2803463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2803582Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2803862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2804006Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2804276Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2804378Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2804385Z 
2025-08-26T20:20:29.2804510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2804727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2804800Z     return mod(*inputs)
2025-08-26T20:20:29.2805067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2805151Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2805387Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2805472Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2805717Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2805824Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2806082Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2806215Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2806456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2806757Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2807134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2807295Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2807300Z 
2025-08-26T20:20:29.2807429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2807651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2807734Z     return mod(*inputs)
2025-08-26T20:20:29.2807986Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2808072Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2808310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2808395Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2808657Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2808761Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2809015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2809146Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2809393Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2809523Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2809798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2809966Z     return self.output_linear(x)
2025-08-26T20:20:29.2809971Z 
2025-08-26T20:20:29.2810089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2810308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2810393Z     return mod(*inputs)
2025-08-26T20:20:29.2810650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2810740Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2810970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2811055Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2811310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2811410Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2811676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2811800Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2812079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2812211Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2812215Z 
2025-08-26T20:20:29.2812343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2812637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2812715Z     return mod(*inputs)
2025-08-26T20:20:29.2812975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2813056Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2813291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2813383Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2813632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2813740Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2814040Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2814165Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2814440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2814570Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2814573Z 
2025-08-26T20:20:29.2814699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2814915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2814993Z     return mod(*inputs)
2025-08-26T20:20:29.2815253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2815336Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2815573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2815659Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2815915Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2816015Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2816270Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2816398Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2816695Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2816833Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2816837Z 
2025-08-26T20:20:29.2816955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2817175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2817256Z     return mod(*inputs)
2025-08-26T20:20:29.2817507Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2817596Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2817821Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2817905Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2818160Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2818262Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2818522Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2818644Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2818648Z 
2025-08-26T20:20:29.2818774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2818994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2819068Z     return mod(*inputs)
2025-08-26T20:20:29.2819329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2819412Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2819646Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2819731Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2819981Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2820091Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2820342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2820507Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2820757Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2820888Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2821163Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2821242Z     query, key, value = [
2025-08-26T20:20:29.2821535Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2821661Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2821665Z 
2025-08-26T20:20:29.2821791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2822011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2822089Z     return mod(*inputs)
2025-08-26T20:20:29.2822353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2822434Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2822671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2822755Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2823000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2823109Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2823399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2823526Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2823771Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2823905Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2824176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2824255Z     query, key, value = [
2025-08-26T20:20:29.2824543Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2824666Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2824670Z 
2025-08-26T20:20:29.2824794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2825017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2825092Z     return mod(*inputs)
2025-08-26T20:20:29.2825351Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2825433Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2825669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2825755Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2826003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2826113Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2826365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2826492Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2826740Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2826870Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2827140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2827326Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2827597Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2827768Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2827772Z 
2025-08-26T20:20:29.2827897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2828118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2828198Z     return mod(*inputs)
2025-08-26T20:20:29.2828458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2828540Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2828775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2828862Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2829116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2829217Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2829470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2829598Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2829847Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2830019Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2830292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2830435Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2830706Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2830873Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2830877Z 
2025-08-26T20:20:29.2831001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2831220Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2831302Z     return mod(*inputs)
2025-08-26T20:20:29.2831567Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2831652Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2831892Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2831977Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2832232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2832334Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2832594Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2832724Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2832968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2833098Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2833373Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2833519Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2833796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2834028Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2834032Z 
2025-08-26T20:20:29.2834161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2834389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2834471Z     return mod(*inputs)
2025-08-26T20:20:29.2834732Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2834815Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2835052Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2835141Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2835395Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2835499Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2835762Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2835895Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2836140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2836270Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2836549Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2836633Z     query, key, value = [
2025-08-26T20:20:29.2836951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2837072Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2837076Z 
2025-08-26T20:20:29.2837200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2837430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2837514Z     return mod(*inputs)
2025-08-26T20:20:29.2837775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2837858Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2838100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2838184Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2838438Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2838543Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2838802Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2838930Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2839179Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2839308Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2839586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2839735Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2840003Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2840103Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2840111Z 
2025-08-26T20:20:29.2840236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2840456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2840538Z     return mod(*inputs)
2025-08-26T20:20:29.2840825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2840911Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2841150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2841236Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2841491Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2841592Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2841849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2841982Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2842231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2842361Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2842637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2842788Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2843050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2843150Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2843154Z 
2025-08-26T20:20:29.2843281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2843498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2843624Z     return mod(*inputs)
2025-08-26T20:20:29.2843875Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2843956Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2844195Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2844280Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2844531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2844632Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2844892Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2845013Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2845257Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2845393Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2845664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2845827Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2845831Z 
2025-08-26T20:20:29.2845949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2846169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2846251Z     return mod(*inputs)
2025-08-26T20:20:29.2846504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2846592Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2846818Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2846904Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2847157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2847259Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2847555Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2847678Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2847935Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2848059Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2848331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2848428Z     return self.output_linear(x)
2025-08-26T20:20:29.2848435Z 
2025-08-26T20:20:29.2848555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2848780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2848854Z     return mod(*inputs)
2025-08-26T20:20:29.2849113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2849204Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2849436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2849529Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2849776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2849878Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2850144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2850304Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2850576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2850706Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2850710Z 
2025-08-26T20:20:29.2850838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2851058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2851133Z     return mod(*inputs)
2025-08-26T20:20:29.2851405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2851488Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2851727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2851811Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2852061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2852170Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2852518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2852668Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2852938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2853079Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2853083Z 
2025-08-26T20:20:29.2853202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2853424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2853511Z     return mod(*inputs)
2025-08-26T20:20:29.2853768Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2853862Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2854139Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2854226Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2854526Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2854632Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2854899Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2855020Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2855285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2855422Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2855428Z 
2025-08-26T20:20:29.2855544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2855772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2855846Z     return mod(*inputs)
2025-08-26T20:20:29.2856116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2856200Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2856435Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2856529Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2856786Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2856893Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2857155Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2857331Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2857590Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2857713Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2857999Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2858078Z     query, key, value = [
2025-08-26T20:20:29.2858369Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2858490Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2858493Z 
2025-08-26T20:20:29.2858610Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2858834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2858911Z     return mod(*inputs)
2025-08-26T20:20:29.2859187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2859270Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2859511Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2859599Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2859851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2859961Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2860223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2860352Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2860604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2860736Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2861016Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2861092Z     query, key, value = [
2025-08-26T20:20:29.2861415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2861535Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2861539Z 
2025-08-26T20:20:29.2861661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2861875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2861947Z     return mod(*inputs)
2025-08-26T20:20:29.2862200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2862284Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2862512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2862593Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2862835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2862941Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2863187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2863312Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2863551Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2863677Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2863944Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2864121Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2864384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2864551Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2864555Z 
2025-08-26T20:20:29.2864678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2864890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2864962Z     return mod(*inputs)
2025-08-26T20:20:29.2865220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2865301Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2865530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2865616Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2865865Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2865966Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2866220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2866349Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2866601Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2866728Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2866992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2867130Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2867403Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2867574Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2867578Z 
2025-08-26T20:20:29.2867741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2867967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2868047Z     return mod(*inputs)
2025-08-26T20:20:29.2868294Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2868374Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2868602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2868685Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2868938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2869038Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2869283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2869412Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2869654Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2869779Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2870042Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2870180Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2870439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2870648Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2870652Z 
2025-08-26T20:20:29.2870773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2870985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2871068Z     return mod(*inputs)
2025-08-26T20:20:29.2871315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2871396Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2871622Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2871704Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2871948Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2872046Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2872291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2872415Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2872652Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2872777Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2873047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2873121Z     query, key, value = [
2025-08-26T20:20:29.2873402Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2873521Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2873524Z 
2025-08-26T20:20:29.2873648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2873862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2873942Z     return mod(*inputs)
2025-08-26T20:20:29.2874187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2874304Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2874536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2874620Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2874866Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2874966Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2875211Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2875341Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2875579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2875704Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2875970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2876116Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2876370Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2876469Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2876472Z 
2025-08-26T20:20:29.2876594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2876804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2876923Z     return mod(*inputs)
2025-08-26T20:20:29.2877170Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2877249Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2877478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2877563Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2877815Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2877918Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2878171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2878300Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2878546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2878680Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2878954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2879103Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2879367Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2879470Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2879474Z 
2025-08-26T20:20:29.2879600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2879820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2879901Z     return mod(*inputs)
2025-08-26T20:20:29.2880157Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2880244Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2880481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2880565Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2880819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2880955Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2881212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2881333Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2881576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2881704Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2881971Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2882136Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2882140Z 
2025-08-26T20:20:29.2882256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2882472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2882556Z     return mod(*inputs)
2025-08-26T20:20:29.2882807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2882895Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2883122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2883204Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2883454Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2883556Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2883867Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2883990Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2884245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2884368Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2884642Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2884736Z     return self.output_linear(x)
2025-08-26T20:20:29.2884740Z 
2025-08-26T20:20:29.2884857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2885082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2885156Z     return mod(*inputs)
2025-08-26T20:20:29.2885412Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2885501Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2885727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2885819Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2886066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2886166Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2886427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2886548Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2886819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2886949Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2886956Z 
2025-08-26T20:20:29.2887081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2887300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2887373Z     return mod(*inputs)
2025-08-26T20:20:29.2888909Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2889011Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2889250Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2889338Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2889588Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2889701Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2889958Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2890097Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2890365Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2890509Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2890512Z 
2025-08-26T20:20:29.2890631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2890851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2890937Z     return mod(*inputs)
2025-08-26T20:20:29.2891193Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2891284Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2891515Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2891643Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2891900Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2892004Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2892269Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2892391Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2892923Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2893070Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2893074Z 
2025-08-26T20:20:29.2893193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2893423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2893504Z     return mod(*inputs)
2025-08-26T20:20:29.2893786Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2893871Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2894105Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2894203Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2894455Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2894566Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2894844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2894964Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2894968Z 
2025-08-26T20:20:29.2895095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2895318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2895401Z     return mod(*inputs)
2025-08-26T20:20:29.2895671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2895754Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2896055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2896142Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2896415Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2896514Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2896795Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2896915Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2897187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2897319Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2897606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2897695Z     query, key, value = [
2025-08-26T20:20:29.2897984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2898106Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2898110Z 
2025-08-26T20:20:29.2898236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2898455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2898537Z     return mod(*inputs)
2025-08-26T20:20:29.2898804Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2898969Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2899217Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2899301Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2899573Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2899674Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2899954Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2900074Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2900345Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2900476Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2900751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2900836Z     query, key, value = [
2025-08-26T20:20:29.2901121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2901244Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2901257Z 
2025-08-26T20:20:29.2901375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2901592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2901675Z     return mod(*inputs)
2025-08-26T20:20:29.2901941Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2902030Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2902278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2902365Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2902641Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2902742Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2903036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2903158Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2903403Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2903533Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2903807Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2903959Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2904224Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2904401Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2904404Z 
2025-08-26T20:20:29.2904526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2904744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2904826Z     return mod(*inputs)
2025-08-26T20:20:29.2905077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2905166Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2905393Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2905479Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2905770Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2905871Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2906133Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2906257Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2906776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2906918Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2907195Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2907349Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2907617Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2907801Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2907804Z 
2025-08-26T20:20:29.2907926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2908148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2908238Z     return mod(*inputs)
2025-08-26T20:20:29.2908498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2908593Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2908825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2908912Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2909173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2909277Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2909548Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2909673Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2910038Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2910163Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2910436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2910596Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2910847Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2911013Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2911019Z 
2025-08-26T20:20:29.2911135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2911345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2911424Z     return mod(*inputs)
2025-08-26T20:20:29.2911671Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2911762Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2911982Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2912063Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2912310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2912409Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2912661Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2912848Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2913096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2913220Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2913491Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2913581Z     query, key, value = [
2025-08-26T20:20:29.2913862Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2913994Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2913998Z 
2025-08-26T20:20:29.2914116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2914330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2914419Z     return mod(*inputs)
2025-08-26T20:20:29.2914669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2914763Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2914989Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2915085Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2915331Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2915432Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2915691Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2915813Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2916066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2916196Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2916471Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2916629Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2916935Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2917044Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2917048Z 
2025-08-26T20:20:29.2917165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2917396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2917469Z     return mod(*inputs)
2025-08-26T20:20:29.2917713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2917805Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2918025Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2918116Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2918354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2918453Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2918704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2918823Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2919067Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2919184Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2919447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2919628Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2919881Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2919986Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2919993Z 
2025-08-26T20:20:29.2920107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2920326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2920400Z     return mod(*inputs)
2025-08-26T20:20:29.2920643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2920731Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2920951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2921046Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2921283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2921381Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2921636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2921755Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2922004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2922122Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2922383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2922540Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2922546Z 
2025-08-26T20:20:29.2922662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2922883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2922957Z     return mod(*inputs)
2025-08-26T20:20:29.2923249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2923332Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2923553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2923642Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2923879Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2923985Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2924231Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2924354Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2924598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2924716Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2924988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2925088Z     return self.output_linear(x)
2025-08-26T20:20:29.2925092Z 
2025-08-26T20:20:29.2925214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2925427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2925498Z     return mod(*inputs)
2025-08-26T20:20:29.2925751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2925834Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2926102Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2926185Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2926425Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2926536Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2926783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2926911Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2927173Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2927303Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2927315Z 
2025-08-26T20:20:29.2927432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2927649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2927733Z     return mod(*inputs)
2025-08-26T20:20:29.2927988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2928084Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2928318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2928404Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2928661Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2928764Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2929024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2929148Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2929421Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2929561Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2929565Z 
2025-08-26T20:20:29.2929684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2929953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2930029Z     return mod(*inputs)
2025-08-26T20:20:29.2930280Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2930370Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2930596Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2930687Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2930932Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2931042Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2931293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2931411Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2931686Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2931817Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2931820Z 
2025-08-26T20:20:29.2931945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2932161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2932235Z     return mod(*inputs)
2025-08-26T20:20:29.2932606Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2932740Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2932974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2933058Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2933306Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2933416Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2933669Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2933803Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2934050Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2934184Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2934459Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2934541Z     query, key, value = [
2025-08-26T20:20:29.2934834Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2934958Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2934964Z 
2025-08-26T20:20:29.2935089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2935309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2935385Z     return mod(*inputs)
2025-08-26T20:20:29.2935670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2935755Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2936009Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2936099Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2936367Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2936476Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2936803Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2936936Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2937181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2937309Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2937582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2937658Z     query, key, value = [
2025-08-26T20:20:29.2937950Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2938075Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2938078Z 
2025-08-26T20:20:29.2938202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2938422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2938496Z     return mod(*inputs)
2025-08-26T20:20:29.2938777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2938859Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2939111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2939195Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2939472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2939611Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2939886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2940017Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2940287Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2940418Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2940692Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2940836Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2941126Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2941321Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2941328Z 
2025-08-26T20:20:29.2941456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2941672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2941754Z     return mod(*inputs)
2025-08-26T20:20:29.2942024Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2942108Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2942362Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2942445Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2942711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2942812Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2943063Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2943197Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2943464Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2943592Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2943977Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2944122Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2944414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2944582Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2944586Z 
2025-08-26T20:20:29.2944712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2944958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2945040Z     return mod(*inputs)
2025-08-26T20:20:29.2945291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2945376Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2945619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2945705Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2945961Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2946063Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2946314Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2946443Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2946724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2946853Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2947127Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2947279Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2947542Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2947707Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2947710Z 
2025-08-26T20:20:29.2947836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2948054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2948135Z     return mod(*inputs)
2025-08-26T20:20:29.2948393Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2948476Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2948708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2948792Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2949046Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2949149Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2949400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2949531Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2949778Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2949905Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2950183Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2950267Z     query, key, value = [
2025-08-26T20:20:29.2950552Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2950716Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2950720Z 
2025-08-26T20:20:29.2950848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2951067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2951148Z     return mod(*inputs)
2025-08-26T20:20:29.2951400Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2951481Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2951723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2951807Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2952059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2952162Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2952424Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2952547Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2952789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2952917Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2953187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2953371Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2953637Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2953739Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2953743Z 
2025-08-26T20:20:29.2953870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2954089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2954172Z     return mod(*inputs)
2025-08-26T20:20:29.2954423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2954505Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2954740Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2954825Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2955081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2955182Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2955444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2955568Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2955811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2955941Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2956213Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2956361Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2956620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2956723Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2956735Z 
2025-08-26T20:20:29.2956852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2957073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2957155Z     return mod(*inputs)
2025-08-26T20:20:29.2957444Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2957538Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2957769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2957853Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2958108Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2958210Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2958477Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2958599Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2958844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2958976Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2959259Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2959417Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2959421Z 
2025-08-26T20:20:29.2959533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2959748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2959820Z     return mod(*inputs)
2025-08-26T20:20:29.2960107Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2960197Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2960419Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2960510Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2960749Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2960846Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2961097Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2961215Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2961458Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2961575Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2961841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.2961933Z     return self.output_linear(x)
2025-08-26T20:20:29.2961937Z 
2025-08-26T20:20:29.2962050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2962268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2962340Z     return mod(*inputs)
2025-08-26T20:20:29.2962584Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2962669Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2962888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2962978Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2963215Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2963324Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2963566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2963683Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2963976Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2964104Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2964108Z 
2025-08-26T20:20:29.2964227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2964435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2964505Z     return mod(*inputs)
2025-08-26T20:20:29.2964755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2964838Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2965065Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2965147Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2965391Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2965488Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2965730Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2965854Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2966112Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2966244Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2966247Z 
2025-08-26T20:20:29.2966397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2966614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2966695Z     return mod(*inputs)
2025-08-26T20:20:29.2966947Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2967039Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2967267Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2967353Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2967610Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2967711Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2967970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2968094Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2968363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.2968492Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.2968495Z 
2025-08-26T20:20:29.2968614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2968840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2968917Z     return mod(*inputs)
2025-08-26T20:20:29.2969175Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2969257Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2969485Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2969576Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2969827Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.2969936Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.2970187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2970344Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2970355Z 
2025-08-26T20:20:29.2970474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2970693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2970776Z     return mod(*inputs)
2025-08-26T20:20:29.2971028Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2971120Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2971346Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2971435Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2971690Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2971790Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2972055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2972174Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2972513Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2972661Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2972940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2973031Z     query, key, value = [
2025-08-26T20:20:29.2973369Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2973501Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2973505Z 
2025-08-26T20:20:29.2973625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2973846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2973933Z     return mod(*inputs)
2025-08-26T20:20:29.2974188Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2974282Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2974509Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2974595Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2974851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2974957Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2975220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2975341Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2975591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2975725Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2976023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2976108Z     query, key, value = [
2025-08-26T20:20:29.2976390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2976521Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2976527Z 
2025-08-26T20:20:29.2976644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2976862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2976944Z     return mod(*inputs)
2025-08-26T20:20:29.2977249Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2977342Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2977591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2977676Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2977949Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2978050Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2978326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2978450Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2978708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2978839Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2979134Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2979287Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2979572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2979747Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2979751Z 
2025-08-26T20:20:29.2979868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2980088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2980208Z     return mod(*inputs)
2025-08-26T20:20:29.2980479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2980569Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2980827Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2980912Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2981192Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2981295Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2981578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2981700Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2981974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2982097Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2982396Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2982548Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2982852Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2983024Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2983027Z 
2025-08-26T20:20:29.2983146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2983369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2983452Z     return mod(*inputs)
2025-08-26T20:20:29.2983713Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2983804Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2984059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2984151Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2984460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2984564Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2984840Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2984961Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2985234Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2985356Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2985661Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2985812Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2986093Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.2986265Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.2986269Z 
2025-08-26T20:20:29.2986385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2986608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2986683Z     return mod(*inputs)
2025-08-26T20:20:29.2986936Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2987027Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2987303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2987394Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2987640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2987745Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2988007Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2988129Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2988381Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2988502Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2988773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.2988862Z     query, key, value = [
2025-08-26T20:20:29.2989145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.2989278Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.2989282Z 
2025-08-26T20:20:29.2989405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2989633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2989708Z     return mod(*inputs)
2025-08-26T20:20:29.2989973Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2990065Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2990292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2990384Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2990633Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2990736Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2990998Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2991151Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2991405Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2991526Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2991795Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2991946Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2992205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2992318Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2992323Z 
2025-08-26T20:20:29.2992440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2992665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2992742Z     return mod(*inputs)
2025-08-26T20:20:29.2992995Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2993087Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2993316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2993407Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2993652Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2993754Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2994053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2994175Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2994431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2994554Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2994839Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.2994981Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.2995245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.2995355Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.2995359Z 
2025-08-26T20:20:29.2995478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2995712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2995787Z     return mod(*inputs)
2025-08-26T20:20:29.2996043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2996137Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2996368Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2996462Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2996711Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2996815Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2997077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2997205Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.2997460Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.2997582Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.2997899Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.2998055Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.2998059Z 
2025-08-26T20:20:29.2998177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.2998403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.2998478Z     return mod(*inputs)
2025-08-26T20:20:29.2998734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.2998816Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.2999047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.2999140Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.2999384Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.2999497Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.2999751Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.2999871Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3000124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3000245Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3000525Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.3000649Z     return self.output_linear(x)
2025-08-26T20:20:29.3000653Z 
2025-08-26T20:20:29.3000778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3001001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3001075Z     return mod(*inputs)
2025-08-26T20:20:29.3001342Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3001425Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3001664Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3001749Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3002000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3002110Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3002371Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3002501Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3002775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.3002917Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.3002922Z 
2025-08-26T20:20:29.3003040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3003260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3003343Z     return mod(*inputs)
2025-08-26T20:20:29.3003598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3003691Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3003921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3004009Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3004268Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3004368Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3004665Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3004789Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3005057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.3005197Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.3005200Z 
2025-08-26T20:20:29.3005317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3005544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3005622Z     return mod(*inputs)
2025-08-26T20:20:29.3005883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3005966Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3006196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3006289Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3006699Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3006823Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3007081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3007203Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3007483Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.3007753Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.3007757Z 
2025-08-26T20:20:29.3007886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3008103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3008185Z     return mod(*inputs)
2025-08-26T20:20:29.3008439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3008521Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3008755Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3008839Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3009095Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3009202Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3009456Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3009588Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3009835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3009964Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3010235Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.3010315Z     query, key, value = [
2025-08-26T20:20:29.3010603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.3010723Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.3010727Z 
2025-08-26T20:20:29.3010856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3011076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3011163Z     return mod(*inputs)
2025-08-26T20:20:29.3011414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3011558Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3011797Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3011882Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3012135Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3012234Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3012561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3012705Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3012951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3013078Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3013355Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.3013434Z     query, key, value = [
2025-08-26T20:20:29.3013723Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.3013845Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.3013851Z 
2025-08-26T20:20:29.3013976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3014192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3014273Z     return mod(*inputs)
2025-08-26T20:20:29.3014568Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3014651Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3014887Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3014974Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3015229Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3015331Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3015587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3015720Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3015966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3016103Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3016374Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.3016518Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.3016789Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.3016958Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.3016961Z 
2025-08-26T20:20:29.3017086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3017318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3017400Z     return mod(*inputs)
2025-08-26T20:20:29.3017659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3017744Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3017985Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3018071Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3018326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3018464Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3018733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3018865Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3019120Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3019252Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3019531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.3019686Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.3019955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.3020126Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.3020129Z 
2025-08-26T20:20:29.3020255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3020474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3020557Z     return mod(*inputs)
2025-08-26T20:20:29.3020817Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3020900Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3021142Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3021270Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3021526Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3021627Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3021903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3022027Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3022285Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3022418Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3022700Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.3022850Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.3023123Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-26T20:20:29.3023288Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-26T20:20:29.3023292Z 
2025-08-26T20:20:29.3023417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3023642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3023725Z     return mod(*inputs)
2025-08-26T20:20:29.3023988Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3024077Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3024315Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3024400Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3024658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3024763Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3025034Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3025157Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3025440Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3025573Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3025851Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 42, in forward
2025-08-26T20:20:29.3025938Z     query, key, value = [
2025-08-26T20:20:29.3026224Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 43, in <listcomp>
2025-08-26T20:20:29.3026347Z     l(x).view(batch_size, -1, self.h, self.d_k).transpose(1, 2)
2025-08-26T20:20:29.3026362Z 
2025-08-26T20:20:29.3026480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3026696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3026779Z     return mod(*inputs)
2025-08-26T20:20:29.3027080Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3027172Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3027401Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3027484Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3027742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3027841Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3028101Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3028258Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3028504Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3028635Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3028921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.3029069Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.3029325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.3029423Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.3029434Z 
2025-08-26T20:20:29.3029550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3029770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3029857Z     return mod(*inputs)
2025-08-26T20:20:29.3030109Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3030208Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3030433Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3030518Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3030770Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3030869Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3031122Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3031241Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3031480Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3031609Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3031873Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-26T20:20:29.3032055Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-26T20:20:29.3032307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-26T20:20:29.3032412Z     return torch.matmul(p_attn, value), p_attn
2025-08-26T20:20:29.3032416Z 
2025-08-26T20:20:29.3032530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3032742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3032823Z     return mod(*inputs)
2025-08-26T20:20:29.3033075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3033168Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3033394Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3033482Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3033742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3033847Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3034113Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3034240Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3034490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3034623Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3034938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-26T20:20:29.3035097Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-26T20:20:29.3035101Z 
2025-08-26T20:20:29.3035219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3035447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3035522Z     return mod(*inputs)
2025-08-26T20:20:29.3035773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3035864Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3036089Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3036182Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3036427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-26T20:20:29.3036531Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-26T20:20:29.3036790Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3036912Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3037165Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-26T20:20:29.3037285Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-26T20:20:29.3037553Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 53, in forward
2025-08-26T20:20:29.3037647Z     return self.output_linear(x)
2025-08-26T20:20:29.3037651Z 
2025-08-26T20:20:29.3037768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3037994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3038072Z     return mod(*inputs)
2025-08-26T20:20:29.3038334Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3038418Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3038700Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3038797Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3039043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3039152Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3039406Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3039526Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3039801Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.3039935Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.3039939Z 
2025-08-26T20:20:29.3040063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3040283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3040366Z     return mod(*inputs)
2025-08-26T20:20:29.3040620Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3040702Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3040939Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3041023Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3041281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3041418Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3041673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3041803Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3042072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.3042209Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.3042212Z 
2025-08-26T20:20:29.3042329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3042546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3042627Z     return mod(*inputs)
2025-08-26T20:20:29.3042883Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3042973Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3043205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3043298Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3043545Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3043648Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3043913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3044031Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3044303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-26T20:20:29.3044433Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-26T20:20:29.3044436Z 
2025-08-26T20:20:29.3044553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3044784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3044859Z     return mod(*inputs)
2025-08-26T20:20:29.3045119Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-26T20:20:29.3045202Z     x = self.bert(x, segment_label)
2025-08-26T20:20:29.3045470Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-26T20:20:29.3045565Z     x = transformer.forward(x, mask)
2025-08-26T20:20:29.3045810Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-26T20:20:29.3045918Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-26T20:20:29.3046171Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-26T20:20:29.3046297Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-26T20:20:29.3046303Z 
2025-08-26T20:20:29.3046420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3046635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3046716Z     return mod(*inputs)
2025-08-26T20:20:29.3046970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-08-26T20:20:29.3047084Z     return self.next_sentence(x), self.mask_lm(x)
2025-08-26T20:20:29.3047333Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 42, in forward
2025-08-26T20:20:29.3047434Z     return self.softmax(self.linear(x[:, 0]))
2025-08-26T20:20:29.3047445Z 
2025-08-26T20:20:29.3047560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:20:29.3047775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:20:29.3047854Z     return mod(*inputs)
2025-08-26T20:20:29.3048145Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 25, in forward
2025-08-26T20:20:29.3048258Z     return self.next_sentence(x), self.mask_lm(x)
2025-08-26T20:20:29.3048512Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 61, in forward
2025-08-26T20:20:29.3048606Z     return self.softmax(self.linear(x))
2025-08-26T20:20:29.3048610Z 
2025-08-26T20:20:47.6184780Z Compilation time (from dynamo_timed): 26.351874079
2025-08-26T20:20:47.6243518Z pass
2025-08-26T20:20:47.6244134Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:47.6245020Z TIMING: _recursive_pre_grad_passes:0.00942 _recursive_joint_graph_passes:0.4891 _recursive_post_grad_passes:0.15403 async_compile.wait:0.7387 code_gen:17.92006 inductor_compile:19.78517 backend_compile:23.29602 gc:0.0005 entire_frame_compile:26.35187 total_wall_time:26.35187
2025-08-26T20:20:47.6246058Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:5252 | FakeTensorMode.__torch_dispatch__:16886 | ProxyTorchDispatchMode.__torch_dispatch__:6310
2025-08-26T20:20:47.6246615Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-08-26T20:20:52.1406901Z 
2025-08-26T20:20:55.4106771Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:20:55.4107150Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:20:55.4119860Z cpu  eval  Background_Matting                 
2025-08-26T20:20:55.4825220Z Compilation time (from dynamo_timed): 0
2025-08-26T20:20:55.4825520Z pass_due_to_skip
2025-08-26T20:20:55.4825863Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:20:55.4826223Z TIMING: total_wall_time:0
2025-08-26T20:20:55.4826438Z STATS: call_* op count: 0
2025-08-26T20:20:55.4826736Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-26T20:20:59.2857730Z 
2025-08-26T20:21:01.1932031Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:21:01.1937774Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:21:01.1938127Z cpu  eval  LearningToPaint                    
2025-08-26T20:21:01.3019851Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:01.3469110Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:01.3882848Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:05.8091672Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8092051Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8092310Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8092749Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8092994Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8093238Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8093485Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8093764Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8094003Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8094243Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8094480Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8094719Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8094961Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8095212Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8095444Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8095686Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8095922Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8096162Z cudagraph partition due to non gpu ops
2025-08-26T20:21:05.8096441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8096889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8097276Z     return mod(*inputs)
2025-08-26T20:21:05.8098050Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-26T20:21:05.8098482Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8098643Z 
2025-08-26T20:21:05.8098773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8099207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8099602Z     return mod(*inputs)
2025-08-26T20:21:05.8099981Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-26T20:21:05.8100394Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8100562Z 
2025-08-26T20:21:05.8100685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8101097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8101473Z     return mod(*inputs)
2025-08-26T20:21:05.8101843Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8102241Z     x = self.layer1(x)
2025-08-26T20:21:05.8102623Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8103030Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8103183Z 
2025-08-26T20:21:05.8103312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8103704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8104068Z     return mod(*inputs)
2025-08-26T20:21:05.8104428Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8104813Z     x = self.layer1(x)
2025-08-26T20:21:05.8105167Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8105611Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8105780Z 
2025-08-26T20:21:05.8105898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8106300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8107057Z     return mod(*inputs)
2025-08-26T20:21:05.8107424Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8107912Z     x = self.layer1(x)
2025-08-26T20:21:05.8108285Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8108692Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8108840Z 
2025-08-26T20:21:05.8108964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8109364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8109729Z     return mod(*inputs)
2025-08-26T20:21:05.8110098Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8110493Z     x = self.layer1(x)
2025-08-26T20:21:05.8110846Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:05.8111244Z     out += self.shortcut(x)
2025-08-26T20:21:05.8111384Z 
2025-08-26T20:21:05.8111566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8111972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8112330Z     return mod(*inputs)
2025-08-26T20:21:05.8112698Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8113076Z     x = self.layer1(x)
2025-08-26T20:21:05.8113432Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8113829Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8113985Z 
2025-08-26T20:21:05.8114153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8114547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8114911Z     return mod(*inputs)
2025-08-26T20:21:05.8115259Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8115640Z     x = self.layer1(x)
2025-08-26T20:21:05.8115992Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8116392Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8116540Z 
2025-08-26T20:21:05.8116656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8117059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8117425Z     return mod(*inputs)
2025-08-26T20:21:05.8117781Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8118167Z     x = self.layer1(x)
2025-08-26T20:21:05.8118508Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8118902Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8119047Z 
2025-08-26T20:21:05.8119171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8119566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8119918Z     return mod(*inputs)
2025-08-26T20:21:05.8120273Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-26T20:21:05.8120657Z     x = self.layer1(x)
2025-08-26T20:21:05.8121007Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:05.8121382Z     out = F.relu(out)
2025-08-26T20:21:05.8121495Z 
2025-08-26T20:21:05.8121608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8122005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8122377Z     return mod(*inputs)
2025-08-26T20:21:05.8122732Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8123107Z     x = self.layer2(x)
2025-08-26T20:21:05.8123497Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8123892Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8124043Z 
2025-08-26T20:21:05.8124164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8124562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8124935Z     return mod(*inputs)
2025-08-26T20:21:05.8125291Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8125683Z     x = self.layer2(x)
2025-08-26T20:21:05.8126034Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8126430Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8126588Z 
2025-08-26T20:21:05.8126703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8127100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8127460Z     return mod(*inputs)
2025-08-26T20:21:05.8127809Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8128194Z     x = self.layer2(x)
2025-08-26T20:21:05.8128548Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8128937Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8129080Z 
2025-08-26T20:21:05.8129204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8129631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8129991Z     return mod(*inputs)
2025-08-26T20:21:05.8130354Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8130743Z     x = self.layer2(x)
2025-08-26T20:21:05.8131094Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:05.8131482Z     out += self.shortcut(x)
2025-08-26T20:21:05.8131622Z 
2025-08-26T20:21:05.8131740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8132138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8132594Z     return mod(*inputs)
2025-08-26T20:21:05.8132952Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8133336Z     x = self.layer2(x)
2025-08-26T20:21:05.8133694Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8134090Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8134239Z 
2025-08-26T20:21:05.8134363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8134756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8135120Z     return mod(*inputs)
2025-08-26T20:21:05.8135480Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8135857Z     x = self.layer2(x)
2025-08-26T20:21:05.8136204Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8136627Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8136785Z 
2025-08-26T20:21:05.8136899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8137292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8137650Z     return mod(*inputs)
2025-08-26T20:21:05.8137996Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8138374Z     x = self.layer2(x)
2025-08-26T20:21:05.8138772Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8139160Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8139302Z 
2025-08-26T20:21:05.8139424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8139809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8140170Z     return mod(*inputs)
2025-08-26T20:21:05.8140513Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-26T20:21:05.8140887Z     x = self.layer2(x)
2025-08-26T20:21:05.8141237Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:05.8141613Z     out = F.relu(out)
2025-08-26T20:21:05.8141732Z 
2025-08-26T20:21:05.8141845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8142241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8142586Z     return mod(*inputs)
2025-08-26T20:21:05.8142922Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8143290Z     x = self.layer3(x)
2025-08-26T20:21:05.8143631Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8144006Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8144149Z 
2025-08-26T20:21:05.8144260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8144637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8145022Z     return mod(*inputs)
2025-08-26T20:21:05.8145371Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8145742Z     x = self.layer3(x)
2025-08-26T20:21:05.8146081Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8146465Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8146609Z 
2025-08-26T20:21:05.8146728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8147109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8147448Z     return mod(*inputs)
2025-08-26T20:21:05.8147797Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8148167Z     x = self.layer3(x)
2025-08-26T20:21:05.8148511Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8148892Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8149030Z 
2025-08-26T20:21:05.8149139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8149530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8149892Z     return mod(*inputs)
2025-08-26T20:21:05.8150252Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8150631Z     x = self.layer3(x)
2025-08-26T20:21:05.8150983Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:05.8151358Z     out += self.shortcut(x)
2025-08-26T20:21:05.8151484Z 
2025-08-26T20:21:05.8151603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8151986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8152334Z     return mod(*inputs)
2025-08-26T20:21:05.8152685Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8153069Z     x = self.layer3(x)
2025-08-26T20:21:05.8153422Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8153879Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8154045Z 
2025-08-26T20:21:05.8154163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8154564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8154906Z     return mod(*inputs)
2025-08-26T20:21:05.8155251Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8155613Z     x = self.layer3(x)
2025-08-26T20:21:05.8155954Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8156339Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8156483Z 
2025-08-26T20:21:05.8156605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8156982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8157331Z     return mod(*inputs)
2025-08-26T20:21:05.8157678Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8158051Z     x = self.layer3(x)
2025-08-26T20:21:05.8158384Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8158769Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8158917Z 
2025-08-26T20:21:05.8159032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8159428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8159819Z     return mod(*inputs)
2025-08-26T20:21:05.8160157Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-26T20:21:05.8160526Z     x = self.layer3(x)
2025-08-26T20:21:05.8160862Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:05.8161225Z     out = F.relu(out)
2025-08-26T20:21:05.8161338Z 
2025-08-26T20:21:05.8161458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8161845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8162205Z     return mod(*inputs)
2025-08-26T20:21:05.8162560Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8162954Z     x = self.layer4(x)
2025-08-26T20:21:05.8163298Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8163706Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8163865Z 
2025-08-26T20:21:05.8163978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8164370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8164726Z     return mod(*inputs)
2025-08-26T20:21:05.8165074Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8165452Z     x = self.layer4(x)
2025-08-26T20:21:05.8165804Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8166210Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8166358Z 
2025-08-26T20:21:05.8166472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8166870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8167229Z     return mod(*inputs)
2025-08-26T20:21:05.8167597Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8167980Z     x = self.layer4(x)
2025-08-26T20:21:05.8168335Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8168728Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8169880Z 
2025-08-26T20:21:05.8170021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8170428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8170798Z     return mod(*inputs)
2025-08-26T20:21:05.8171171Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8171568Z     x = self.layer4(x)
2025-08-26T20:21:05.8171927Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 56, in forward
2025-08-26T20:21:05.8172322Z     out += self.shortcut(x)
2025-08-26T20:21:05.8172564Z 
2025-08-26T20:21:05.8172686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8173105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8173478Z     return mod(*inputs)
2025-08-26T20:21:05.8173841Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8174213Z     x = self.layer4(x)
2025-08-26T20:21:05.8174565Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8174956Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8175105Z 
2025-08-26T20:21:05.8175231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8175633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8175992Z     return mod(*inputs)
2025-08-26T20:21:05.8176347Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8176794Z     x = self.layer4(x)
2025-08-26T20:21:05.8177144Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-26T20:21:05.8177527Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-26T20:21:05.8177681Z 
2025-08-26T20:21:05.8177798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8178201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8178566Z     return mod(*inputs)
2025-08-26T20:21:05.8178920Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8179299Z     x = self.layer4(x)
2025-08-26T20:21:05.8179650Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 55, in forward
2025-08-26T20:21:05.8180039Z     out = self.bn2(self.conv2(out))
2025-08-26T20:21:05.8180183Z 
2025-08-26T20:21:05.8180305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8180710Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8181065Z     return mod(*inputs)
2025-08-26T20:21:05.8181425Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-26T20:21:05.8181806Z     x = self.layer4(x)
2025-08-26T20:21:05.8182151Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-26T20:21:05.8182538Z     out = F.relu(out)
2025-08-26T20:21:05.8182657Z 
2025-08-26T20:21:05.8182771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8183179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8183561Z     return mod(*inputs)
2025-08-26T20:21:05.8183907Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-08-26T20:21:05.8184296Z     x = F.avg_pool2d(x, 4)
2025-08-26T20:21:05.8184433Z 
2025-08-26T20:21:05.8184548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8184949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8185294Z     return mod(*inputs)
2025-08-26T20:21:05.8185707Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 135, in forward
2025-08-26T20:21:05.8186084Z     x = self.fc(x)
2025-08-26T20:21:05.8186197Z 
2025-08-26T20:21:05.8186324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:21:05.8186717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:21:05.8187083Z     return mod(*inputs)
2025-08-26T20:21:05.8187438Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 136, in forward
2025-08-26T20:21:05.8187824Z     x = torch.sigmoid(x)
2025-08-26T20:21:05.8187949Z 
2025-08-26T20:21:14.5948711Z Compilation time (from dynamo_timed): 12.254366193
2025-08-26T20:21:14.5954257Z pass
2025-08-26T20:21:14.5954690Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:14.5955613Z TIMING: _recursive_pre_grad_passes:0.00637 _recursive_joint_graph_passes:0.14741 _recursive_post_grad_passes:0.04876 async_compile.wait:0.80925 code_gen:8.50002 inductor_compile:9.14325 backend_compile:10.72389 gc:0.00114 entire_frame_compile:12.25437 total_wall_time:12.25437
2025-08-26T20:21:14.5956676Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:4470 | FakeTensor.__torch_dispatch__:2118 | ProxyTorchDispatchMode.__torch_dispatch__:1906
2025-08-26T20:21:14.5957238Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-26T20:21:19.0829813Z 
2025-08-26T20:21:20.0639412Z 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
2025-08-26T20:21:20.0786379Z 
2025-08-26T20:21:20.0786882Z 
2025-08-26T20:21:20.1788678Z   0% 0.00/528M [00:00<?, ?B/s]
2025-08-26T20:21:20.1788926Z 
2025-08-26T20:21:20.2786602Z  11% 56.4M/528M [00:00<00:00, 590MB/s]
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2025-08-26T20:21:20.3786808Z  21% 113M/528M [00:00<00:00, 593MB/s] 
2025-08-26T20:21:20.3787047Z 
2025-08-26T20:21:20.4792240Z  32% 170M/528M [00:00<00:00, 595MB/s]
2025-08-26T20:21:20.4792500Z 
2025-08-26T20:21:20.6407715Z  43% 227M/528M [00:00<00:00, 595MB/s]
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2025-08-26T20:21:20.8439039Z  54% 284M/528M [00:00<00:00, 487MB/s]
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2025-08-26T20:21:20.9610458Z  63% 333M/528M [00:00<00:00, 380MB/s]
2025-08-26T20:21:20.9610706Z 
2025-08-26T20:21:21.0608155Z  71% 374M/528M [00:00<00:00, 375MB/s]
2025-08-26T20:21:21.0608400Z 
2025-08-26T20:21:21.1610280Z  80% 423M/528M [00:00<00:00, 412MB/s]
2025-08-26T20:21:21.1610558Z 
2025-08-26T20:21:21.2448971Z  91% 480M/528M [00:01<00:00, 461MB/s]
2025-08-26T20:21:21.2449285Z 100% 528M/528M [00:01<00:00, 474MB/s]
2025-08-26T20:21:23.1411832Z 
2025-08-26T20:21:23.1412685Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:21:23.1434240Z cpu  eval  Super_SloMo                        
2025-08-26T20:21:49.9938573Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:51.8288778Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:21:53.8882393Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:04.5997633Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6000562Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6004225Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6005182Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6005613Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6005976Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6006324Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6006917Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6007590Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6007866Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6008668Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6009013Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6009372Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6009704Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6009957Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6010264Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6010580Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6010817Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6011047Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6011309Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6011607Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6011855Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6012085Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6012322Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6012800Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6013060Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6013302Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6013619Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6013855Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6014114Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6014352Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6014596Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6014834Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6015076Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6015303Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6015718Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6015957Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6016195Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6016426Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6016660Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6016893Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6017131Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6017446Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6017689Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6017926Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6018168Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6018401Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6018641Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6018882Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6019134Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6019435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6019869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6020255Z     return mod(*inputs)
2025-08-26T20:22:04.6020610Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6021016Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6021199Z 
2025-08-26T20:22:04.6021297Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6021652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6022056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6022424Z     return mod(*inputs)
2025-08-26T20:22:04.6022750Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6023233Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6023617Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:04.6024009Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6024179Z 
2025-08-26T20:22:04.6024306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6024850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6025228Z     return mod(*inputs)
2025-08-26T20:22:04.6025559Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6025951Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6026329Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:04.6026703Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6026896Z 
2025-08-26T20:22:04.6027065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6027492Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6027858Z     return mod(*inputs)
2025-08-26T20:22:04.6028181Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6028565Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6029035Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:04.6029426Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6029600Z 
2025-08-26T20:22:04.6029726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6030139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6030611Z     return mod(*inputs)
2025-08-26T20:22:04.6030944Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6031375Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6031839Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6032191Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6032573Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6032959Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6033093Z 
2025-08-26T20:22:04.6033222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6033617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6033977Z     return mod(*inputs)
2025-08-26T20:22:04.6034295Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6034677Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6035040Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6035383Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6035697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6036196Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6036361Z 
2025-08-26T20:22:04.6036490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6036880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6037280Z     return mod(*inputs)
2025-08-26T20:22:04.6037707Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6038086Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6038451Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6038908Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6039252Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6039650Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6039815Z 
2025-08-26T20:22:04.6039991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6040453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6040887Z     return mod(*inputs)
2025-08-26T20:22:04.6041213Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6041632Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6042013Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6042389Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6042821Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6043325Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6043563Z 
2025-08-26T20:22:04.6043738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6044304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6044717Z     return mod(*inputs)
2025-08-26T20:22:04.6045184Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6045620Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6046181Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6046721Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6047133Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6047578Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6047752Z 
2025-08-26T20:22:04.6047926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6048426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6049000Z     return mod(*inputs)
2025-08-26T20:22:04.6049328Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6049825Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6050195Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6050625Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6051045Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6051552Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6051722Z 
2025-08-26T20:22:04.6051847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6052438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6052865Z     return mod(*inputs)
2025-08-26T20:22:04.6053337Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6053783Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6054300Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6054805Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6055128Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6055504Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6055669Z 
2025-08-26T20:22:04.6055791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6056177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6056572Z     return mod(*inputs)
2025-08-26T20:22:04.6056890Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6057265Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6057630Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6057972Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6058283Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6058704Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6058872Z 
2025-08-26T20:22:04.6058994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6059385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6059745Z     return mod(*inputs)
2025-08-26T20:22:04.6060062Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6060439Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6060798Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6061151Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6061465Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6061811Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6061936Z 
2025-08-26T20:22:04.6062060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6062454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6062813Z     return mod(*inputs)
2025-08-26T20:22:04.6063168Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6063549Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6063911Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6064250Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6064559Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6064972Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6065140Z 
2025-08-26T20:22:04.6065263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6065650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6066011Z     return mod(*inputs)
2025-08-26T20:22:04.6066334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6066713Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6067071Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6067412Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6067723Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6068092Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6068255Z 
2025-08-26T20:22:04.6068381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6068769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6069125Z     return mod(*inputs)
2025-08-26T20:22:04.6069440Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6069815Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6070171Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6070509Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6070818Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6071188Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6071350Z 
2025-08-26T20:22:04.6071473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6071859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6072217Z     return mod(*inputs)
2025-08-26T20:22:04.6072535Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6072911Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6073310Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6073657Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6073970Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6074311Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6074438Z 
2025-08-26T20:22:04.6074562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6074957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6075350Z     return mod(*inputs)
2025-08-26T20:22:04.6075671Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6076056Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6076420Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6076761Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6077074Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6077442Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6077607Z 
2025-08-26T20:22:04.6077732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6078120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6078512Z     return mod(*inputs)
2025-08-26T20:22:04.6078831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6079220Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6079659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6080014Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6080344Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6080731Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6080896Z 
2025-08-26T20:22:04.6081023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6081433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6081808Z     return mod(*inputs)
2025-08-26T20:22:04.6082128Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6082519Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6082902Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6083263Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6083598Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6083987Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6084151Z 
2025-08-26T20:22:04.6084273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6084683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6085070Z     return mod(*inputs)
2025-08-26T20:22:04.6085389Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6085773Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6086142Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6086490Z     x = self.down5(s5)
2025-08-26T20:22:04.6086816Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6087160Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6087283Z 
2025-08-26T20:22:04.6087399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6087802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6088162Z     return mod(*inputs)
2025-08-26T20:22:04.6088517Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6088895Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6089254Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6089593Z     x = self.down5(s5)
2025-08-26T20:22:04.6089908Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6090278Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6090442Z 
2025-08-26T20:22:04.6090557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6090953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6091329Z     return mod(*inputs)
2025-08-26T20:22:04.6091649Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6092028Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6092487Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6092854Z     x = self.down5(s5)
2025-08-26T20:22:04.6093178Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6093555Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6093724Z 
2025-08-26T20:22:04.6093841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6094250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6094669Z     return mod(*inputs)
2025-08-26T20:22:04.6094998Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6095381Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6095744Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6096081Z     x = self.down5(s5)
2025-08-26T20:22:04.6096399Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6096772Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6096938Z 
2025-08-26T20:22:04.6097054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6097455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6097846Z     return mod(*inputs)
2025-08-26T20:22:04.6098166Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6098545Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6098906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6099248Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6099563Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6099934Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6100103Z 
2025-08-26T20:22:04.6100221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6100620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6100981Z     return mod(*inputs)
2025-08-26T20:22:04.6101301Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6101678Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6102038Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6102385Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6102697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6103064Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6103229Z 
2025-08-26T20:22:04.6104215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6104654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6105012Z     return mod(*inputs)
2025-08-26T20:22:04.6105328Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6105705Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6106063Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6106400Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6106943Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6107317Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6107482Z 
2025-08-26T20:22:04.6107600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6108000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6108359Z     return mod(*inputs)
2025-08-26T20:22:04.6108680Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6109062Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6109423Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6109766Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6110080Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6110502Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6110846Z 
2025-08-26T20:22:04.6110943Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6111216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6111617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6112004Z     return mod(*inputs)
2025-08-26T20:22:04.6112328Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6112700Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6113073Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6113417Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6113725Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6114136Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6114366Z 
2025-08-26T20:22:04.6114483Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6114875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6115256Z     return mod(*inputs)
2025-08-26T20:22:04.6115573Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6115942Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6116315Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6116653Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6116964Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6117325Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6117499Z 
2025-08-26T20:22:04.6117615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6118007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6118372Z     return mod(*inputs)
2025-08-26T20:22:04.6118689Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6119053Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6119492Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6119848Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6120166Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6120535Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6120708Z 
2025-08-26T20:22:04.6120824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6121230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6121601Z     return mod(*inputs)
2025-08-26T20:22:04.6121921Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6122292Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6122667Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6123015Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6123340Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6123707Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6123879Z 
2025-08-26T20:22:04.6123998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6124403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6124772Z     return mod(*inputs)
2025-08-26T20:22:04.6125093Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6125515Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6125896Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6126247Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6126566Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6126996Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6127222Z 
2025-08-26T20:22:04.6127321Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6127599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6128003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6128379Z     return mod(*inputs)
2025-08-26T20:22:04.6128697Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6129080Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6129488Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6129832Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6130142Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6130562Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6130791Z 
2025-08-26T20:22:04.6130911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6131313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6131681Z     return mod(*inputs)
2025-08-26T20:22:04.6131999Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6132451Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6132836Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6133180Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6133484Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6133854Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6134027Z 
2025-08-26T20:22:04.6134143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6134603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6134972Z     return mod(*inputs)
2025-08-26T20:22:04.6135285Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6135661Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6136026Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6136364Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6136665Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6137035Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6137209Z 
2025-08-26T20:22:04.6137326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6137723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6138104Z     return mod(*inputs)
2025-08-26T20:22:04.6138416Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6138793Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6139162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6139504Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6139811Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6140181Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6140352Z 
2025-08-26T20:22:04.6140515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6140910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6141265Z     return mod(*inputs)
2025-08-26T20:22:04.6141573Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6141953Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6142317Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6142655Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6142959Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6143373Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6143592Z 
2025-08-26T20:22:04.6143687Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6143957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6144357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6144706Z     return mod(*inputs)
2025-08-26T20:22:04.6145021Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6145398Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6145765Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6146098Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6146405Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6146814Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6147023Z 
2025-08-26T20:22:04.6147149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6147541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6147893Z     return mod(*inputs)
2025-08-26T20:22:04.6148214Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6148592Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6148956Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6149372Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6149685Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6150052Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6150216Z 
2025-08-26T20:22:04.6150343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6150733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6151104Z     return mod(*inputs)
2025-08-26T20:22:04.6151417Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6151798Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6152162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6152492Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6152802Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6153166Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6153331Z 
2025-08-26T20:22:04.6153454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6153846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6154196Z     return mod(*inputs)
2025-08-26T20:22:04.6154510Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6154887Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6155294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6155624Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6155933Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6156299Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6156463Z 
2025-08-26T20:22:04.6156589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6156982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6157357Z     return mod(*inputs)
2025-08-26T20:22:04.6157674Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6158052Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6158418Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6158752Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6159063Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6159474Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6159689Z 
2025-08-26T20:22:04.6159790Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6160061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6160459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6160821Z     return mod(*inputs)
2025-08-26T20:22:04.6161138Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6161512Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6161878Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6162227Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6162543Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6162965Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6163185Z 
2025-08-26T20:22:04.6163308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6163757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6164129Z     return mod(*inputs)
2025-08-26T20:22:04.6164449Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6164832Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6165194Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6165557Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6165880Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6166252Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6166422Z 
2025-08-26T20:22:04.6166548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6166936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6167306Z     return mod(*inputs)
2025-08-26T20:22:04.6167633Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6168015Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6168383Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6168734Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6169057Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6169434Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6169599Z 
2025-08-26T20:22:04.6169721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6170212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6170571Z     return mod(*inputs)
2025-08-26T20:22:04.6170888Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6171264Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6171625Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:04.6172006Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6172185Z 
2025-08-26T20:22:04.6172301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6172780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6173162Z     return mod(*inputs)
2025-08-26T20:22:04.6173475Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6173858Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6174227Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6174569Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6174871Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6175296Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6175519Z 
2025-08-26T20:22:04.6175613Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6175889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6176285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6176660Z     return mod(*inputs)
2025-08-26T20:22:04.6176982Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6177362Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6177731Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6178062Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6178374Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6178835Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6179049Z 
2025-08-26T20:22:04.6179173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6179571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6179945Z     return mod(*inputs)
2025-08-26T20:22:04.6180264Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6180641Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6181011Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6181348Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6181659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6182080Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6182292Z 
2025-08-26T20:22:04.6182611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6183010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6183364Z     return mod(*inputs)
2025-08-26T20:22:04.6183681Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-26T20:22:04.6184055Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-26T20:22:04.6184424Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-26T20:22:04.6184785Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-26T20:22:04.6185003Z 
2025-08-26T20:22:04.6185121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6185516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6185878Z     return mod(*inputs)
2025-08-26T20:22:04.6186196Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-08-26T20:22:04.6186576Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-08-26T20:22:04.6186948Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:04.6187306Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:04.6187451Z 
2025-08-26T20:22:04.6187575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6187964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6188332Z     return mod(*inputs)
2025-08-26T20:22:04.6188651Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-08-26T20:22:04.6189038Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-08-26T20:22:04.6189406Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:04.6189763Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:04.6189910Z 
2025-08-26T20:22:04.6190003Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6190243Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6190480Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6190706Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6190966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6191355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6191712Z     return mod(*inputs)
2025-08-26T20:22:04.6192017Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-08-26T20:22:04.6192360Z     torch.cat(
2025-08-26T20:22:04.6192472Z 
2025-08-26T20:22:04.6192587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6192982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6193362Z     return mod(*inputs)
2025-08-26T20:22:04.6193734Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6194126Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6194483Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:04.6194861Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6195031Z 
2025-08-26T20:22:04.6195157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6195548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6195909Z     return mod(*inputs)
2025-08-26T20:22:04.6196238Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6196602Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6196952Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-26T20:22:04.6197327Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6197502Z 
2025-08-26T20:22:04.6197625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6198023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6198384Z     return mod(*inputs)
2025-08-26T20:22:04.6198701Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6199064Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6199422Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:04.6199805Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6200050Z 
2025-08-26T20:22:04.6200167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6200561Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6200916Z     return mod(*inputs)
2025-08-26T20:22:04.6201236Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6201591Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6201938Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6202280Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6202594Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6202950Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6203076Z 
2025-08-26T20:22:04.6203192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6203599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6203967Z     return mod(*inputs)
2025-08-26T20:22:04.6204285Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6204636Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6204987Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6205325Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6205635Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6206013Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6206180Z 
2025-08-26T20:22:04.6206297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6206957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6207330Z     return mod(*inputs)
2025-08-26T20:22:04.6207659Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6208011Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6208367Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6208709Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6209145Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6209527Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6209696Z 
2025-08-26T20:22:04.6209811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6210216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6210578Z     return mod(*inputs)
2025-08-26T20:22:04.6210896Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6211247Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6211607Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6211951Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6212263Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6212704Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6212872Z 
2025-08-26T20:22:04.6212996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6213396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6213769Z     return mod(*inputs)
2025-08-26T20:22:04.6214083Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6214434Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6214782Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6215118Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6215507Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6215847Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6215983Z 
2025-08-26T20:22:04.6216098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6216497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6216858Z     return mod(*inputs)
2025-08-26T20:22:04.6217178Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6217530Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6217881Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6218221Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6218529Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6218902Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6219074Z 
2025-08-26T20:22:04.6219188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6219573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6219923Z     return mod(*inputs)
2025-08-26T20:22:04.6220232Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6220573Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6220917Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6221247Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6221555Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6221909Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6222081Z 
2025-08-26T20:22:04.6222195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6222579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6222930Z     return mod(*inputs)
2025-08-26T20:22:04.6223239Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6223584Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6223969Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6224300Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6224602Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6224950Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6225127Z 
2025-08-26T20:22:04.6225242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6225638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6225997Z     return mod(*inputs)
2025-08-26T20:22:04.6226331Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6226670Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6227013Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6227340Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6227645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6227970Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6228098Z 
2025-08-26T20:22:04.6228211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6228602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6228949Z     return mod(*inputs)
2025-08-26T20:22:04.6229254Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6229605Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6229983Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6230318Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6230627Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6230989Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6231162Z 
2025-08-26T20:22:04.6231281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6231675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6232030Z     return mod(*inputs)
2025-08-26T20:22:04.6232334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6232695Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6233040Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6233376Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6233687Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6234048Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6234221Z 
2025-08-26T20:22:04.6234336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6234729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6235078Z     return mod(*inputs)
2025-08-26T20:22:04.6235386Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6235742Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6236091Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6236431Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6236740Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6237102Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6237280Z 
2025-08-26T20:22:04.6237396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6237785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6238139Z     return mod(*inputs)
2025-08-26T20:22:04.6238495Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6238856Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6239206Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6239547Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6239859Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6240192Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6240323Z 
2025-08-26T20:22:04.6240440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6240838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6241200Z     return mod(*inputs)
2025-08-26T20:22:04.6241507Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6241866Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6242212Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6242549Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6242875Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6243262Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6243432Z 
2025-08-26T20:22:04.6243547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6243960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6244341Z     return mod(*inputs)
2025-08-26T20:22:04.6244650Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6245078Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6245453Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6245820Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6246159Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6246570Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6246745Z 
2025-08-26T20:22:04.6246865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6247290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6247675Z     return mod(*inputs)
2025-08-26T20:22:04.6247989Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6248353Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6248717Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6249070Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6249386Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6249768Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6249943Z 
2025-08-26T20:22:04.6250064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6250477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6250846Z     return mod(*inputs)
2025-08-26T20:22:04.6251163Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6251527Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6251888Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6252243Z     x = self.down5(s5)
2025-08-26T20:22:04.6252655Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-26T20:22:04.6253004Z     x = F.avg_pool2d(x, 2)
2025-08-26T20:22:04.6253138Z 
2025-08-26T20:22:04.6253254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6253649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6254068Z     return mod(*inputs)
2025-08-26T20:22:04.6254381Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6254739Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6255087Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6255423Z     x = self.down5(s5)
2025-08-26T20:22:04.6255728Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6256098Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6256272Z 
2025-08-26T20:22:04.6256386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6256778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6257131Z     return mod(*inputs)
2025-08-26T20:22:04.6257439Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6257811Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6258159Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6258495Z     x = self.down5(s5)
2025-08-26T20:22:04.6258800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-26T20:22:04.6259181Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6259347Z 
2025-08-26T20:22:04.6259460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6259843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6260227Z     return mod(*inputs)
2025-08-26T20:22:04.6260528Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6260872Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6261209Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-26T20:22:04.6261535Z     x = self.down5(s5)
2025-08-26T20:22:04.6261828Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6262186Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6262358Z 
2025-08-26T20:22:04.6262474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6262866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6263241Z     return mod(*inputs)
2025-08-26T20:22:04.6263558Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6263907Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6264249Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6264591Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6264901Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6265285Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6265459Z 
2025-08-26T20:22:04.6265574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6265973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6266329Z     return mod(*inputs)
2025-08-26T20:22:04.6266653Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6266996Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6267334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6267667Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6267974Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6268329Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6268496Z 
2025-08-26T20:22:04.6268648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6269040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6269396Z     return mod(*inputs)
2025-08-26T20:22:04.6269708Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6270062Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6270403Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-26T20:22:04.6270744Z     s5 = self.down4(s4)
2025-08-26T20:22:04.6271050Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6271408Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6271579Z 
2025-08-26T20:22:04.6271695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6272090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6272431Z     return mod(*inputs)
2025-08-26T20:22:04.6272744Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6273096Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6273441Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6273768Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6274061Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6274468Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6274725Z 
2025-08-26T20:22:04.6274818Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6275087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6275475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6275853Z     return mod(*inputs)
2025-08-26T20:22:04.6276171Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6276529Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6276873Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-26T20:22:04.6277201Z     x = self.up1(x, s5)
2025-08-26T20:22:04.6277518Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6277919Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6278134Z 
2025-08-26T20:22:04.6278259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6278645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6279001Z     return mod(*inputs)
2025-08-26T20:22:04.6279319Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6279679Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6280020Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6280350Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6280660Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6281025Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6281189Z 
2025-08-26T20:22:04.6281312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6281700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6282058Z     return mod(*inputs)
2025-08-26T20:22:04.6282375Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6282733Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6283109Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6283445Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6283752Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6284119Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6284285Z 
2025-08-26T20:22:04.6284410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6284793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6285169Z     return mod(*inputs)
2025-08-26T20:22:04.6285486Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6285848Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6286183Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-26T20:22:04.6286528Z     s4 = self.down3(s3)
2025-08-26T20:22:04.6286839Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6287208Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6287372Z 
2025-08-26T20:22:04.6287495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6287884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6288238Z     return mod(*inputs)
2025-08-26T20:22:04.6288553Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6288909Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6289291Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6289633Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6289943Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6290357Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6290572Z 
2025-08-26T20:22:04.6290675Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6290940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6291338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6291696Z     return mod(*inputs)
2025-08-26T20:22:04.6292012Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6292436Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6292799Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-26T20:22:04.6293149Z     x = self.up2(x, s4)
2025-08-26T20:22:04.6293464Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6293881Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6294092Z 
2025-08-26T20:22:04.6294211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6294612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6294970Z     return mod(*inputs)
2025-08-26T20:22:04.6295291Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6295645Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6296005Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6296333Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6296637Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6296999Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6297159Z 
2025-08-26T20:22:04.6297272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6297653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6298043Z     return mod(*inputs)
2025-08-26T20:22:04.6298354Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6298697Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6299040Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6299371Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6299670Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6300029Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6300194Z 
2025-08-26T20:22:04.6300309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6300696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6301042Z     return mod(*inputs)
2025-08-26T20:22:04.6301348Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6301692Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6302032Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-26T20:22:04.6302361Z     s3 = self.down2(s2)
2025-08-26T20:22:04.6302663Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6303017Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6303183Z 
2025-08-26T20:22:04.6303296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6303690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6304134Z     return mod(*inputs)
2025-08-26T20:22:04.6304445Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6304794Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6305146Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6305503Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6305806Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6306197Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6306409Z 
2025-08-26T20:22:04.6306757Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6307041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6307450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6307818Z     return mod(*inputs)
2025-08-26T20:22:04.6308121Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6308476Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6308824Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-26T20:22:04.6309166Z     x = self.up3(x, s3)
2025-08-26T20:22:04.6309475Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6309882Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6310099Z 
2025-08-26T20:22:04.6310213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6310613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6310973Z     return mod(*inputs)
2025-08-26T20:22:04.6311277Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6311633Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6311989Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6312335Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6312643Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6313120Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6313297Z 
2025-08-26T20:22:04.6313425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6313821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6314191Z     return mod(*inputs)
2025-08-26T20:22:04.6314497Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6314860Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6315218Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6315565Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6315867Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6316241Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6316416Z 
2025-08-26T20:22:04.6316535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6316938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6317298Z     return mod(*inputs)
2025-08-26T20:22:04.6317606Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6317967Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6318312Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-26T20:22:04.6318653Z     s2 = self.down1(s1)
2025-08-26T20:22:04.6318957Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-26T20:22:04.6319399Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6319575Z 
2025-08-26T20:22:04.6319692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6320090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6320472Z     return mod(*inputs)
2025-08-26T20:22:04.6320790Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6321153Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6321519Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6321862Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6322165Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6322580Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6322817Z 
2025-08-26T20:22:04.6322909Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6323180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6323577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6323928Z     return mod(*inputs)
2025-08-26T20:22:04.6324251Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6324613Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6324963Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-26T20:22:04.6325295Z     x = self.up4(x, s2)
2025-08-26T20:22:04.6325607Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6326024Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6326237Z 
2025-08-26T20:22:04.6326374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6326764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6327104Z     return mod(*inputs)
2025-08-26T20:22:04.6327412Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6327763Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6328141Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6328463Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6328759Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6329114Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6329277Z 
2025-08-26T20:22:04.6329397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6329782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6330123Z     return mod(*inputs)
2025-08-26T20:22:04.6330431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6330777Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6331112Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6331433Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6331737Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-26T20:22:04.6332095Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-26T20:22:04.6332261Z 
2025-08-26T20:22:04.6332453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6332853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6333214Z     return mod(*inputs)
2025-08-26T20:22:04.6333534Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6333952Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6334294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-26T20:22:04.6334660Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-26T20:22:04.6334836Z 
2025-08-26T20:22:04.6334949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6335336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6335687Z     return mod(*inputs)
2025-08-26T20:22:04.6335992Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6336338Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6336676Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6337009Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6337318Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6337719Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6337935Z 
2025-08-26T20:22:04.6338025Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6338285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6338673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6339009Z     return mod(*inputs)
2025-08-26T20:22:04.6339319Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6339666Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6340004Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6340330Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6340627Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6341033Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6341250Z 
2025-08-26T20:22:04.6341363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6341749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6342087Z     return mod(*inputs)
2025-08-26T20:22:04.6342434Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6342785Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6343121Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-26T20:22:04.6343445Z     x = self.up5(x, s1)
2025-08-26T20:22:04.6343737Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-26T20:22:04.6344134Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-26T20:22:04.6344346Z 
2025-08-26T20:22:04.6344457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6344844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6345189Z     return mod(*inputs)
2025-08-26T20:22:04.6345499Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-26T20:22:04.6345845Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-26T20:22:04.6346183Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-26T20:22:04.6346538Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-26T20:22:04.6346701Z 
2025-08-26T20:22:04.6346813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6347203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6347559Z     return mod(*inputs)
2025-08-26T20:22:04.6347870Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-08-26T20:22:04.6348265Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-08-26T20:22:04.6348426Z 
2025-08-26T20:22:04.6348540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6348932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6349290Z     return mod(*inputs)
2025-08-26T20:22:04.6349603Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-08-26T20:22:04.6349973Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-08-26T20:22:04.6350357Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:04.6350713Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:04.6350856Z 
2025-08-26T20:22:04.6350981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6351382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6351754Z     return mod(*inputs)
2025-08-26T20:22:04.6352077Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-08-26T20:22:04.6352461Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-08-26T20:22:04.6352843Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:04.6353185Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:04.6353336Z 
2025-08-26T20:22:04.6353454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6353860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6354227Z     return mod(*inputs)
2025-08-26T20:22:04.6354538Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-08-26T20:22:04.6354921Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-08-26T20:22:04.6355305Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:04.6355664Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:04.6355807Z 
2025-08-26T20:22:04.6355932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6356325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6356705Z     return mod(*inputs)
2025-08-26T20:22:04.6357078Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6357515Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6357744Z 
2025-08-26T20:22:04.6357868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6358256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6358616Z     return mod(*inputs)
2025-08-26T20:22:04.6358939Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6359369Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6359593Z 
2025-08-26T20:22:04.6359709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6360107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6360481Z     return mod(*inputs)
2025-08-26T20:22:04.6360803Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6361234Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6361453Z 
2025-08-26T20:22:04.6361568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6361960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6362328Z     return mod(*inputs)
2025-08-26T20:22:04.6362645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6363098Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6363320Z 
2025-08-26T20:22:04.6363434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6363824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6364177Z     return mod(*inputs)
2025-08-26T20:22:04.6364494Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6364908Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6365132Z 
2025-08-26T20:22:04.6365245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6365636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6365992Z     return mod(*inputs)
2025-08-26T20:22:04.6366310Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6366731Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6366735Z 
2025-08-26T20:22:04.6366859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6367075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6367156Z     return mod(*inputs)
2025-08-26T20:22:04.6367358Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6367514Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6367518Z 
2025-08-26T20:22:04.6367641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6367853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6367935Z     return mod(*inputs)
2025-08-26T20:22:04.6368139Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6368296Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6368307Z 
2025-08-26T20:22:04.6368419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6368629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6368750Z     return mod(*inputs)
2025-08-26T20:22:04.6368952Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6369117Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6369121Z 
2025-08-26T20:22:04.6369235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6369445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6369528Z     return mod(*inputs)
2025-08-26T20:22:04.6369728Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6369891Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6369895Z 
2025-08-26T20:22:04.6370007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6370221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6370301Z     return mod(*inputs)
2025-08-26T20:22:04.6370500Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6370659Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6370663Z 
2025-08-26T20:22:04.6370776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6370996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6371071Z     return mod(*inputs)
2025-08-26T20:22:04.6371308Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6371471Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6371476Z 
2025-08-26T20:22:04.6371588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6371812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6371886Z     return mod(*inputs)
2025-08-26T20:22:04.6372087Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6372249Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6372252Z 
2025-08-26T20:22:04.6372441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6372674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6372749Z     return mod(*inputs)
2025-08-26T20:22:04.6372963Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6373118Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6373122Z 
2025-08-26T20:22:04.6373235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6373457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6373531Z     return mod(*inputs)
2025-08-26T20:22:04.6373739Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6373896Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6373900Z 
2025-08-26T20:22:04.6374012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6374232Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6374312Z     return mod(*inputs)
2025-08-26T20:22:04.6374522Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6374680Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6374683Z 
2025-08-26T20:22:04.6374806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6375084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6375161Z     return mod(*inputs)
2025-08-26T20:22:04.6375373Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6375517Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6375520Z 
2025-08-26T20:22:04.6375631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6375824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6375895Z     return mod(*inputs)
2025-08-26T20:22:04.6376088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6376233Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6376237Z 
2025-08-26T20:22:04.6376347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6376547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6376621Z     return mod(*inputs)
2025-08-26T20:22:04.6376805Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6376947Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6376950Z 
2025-08-26T20:22:04.6377062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6377264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6377386Z     return mod(*inputs)
2025-08-26T20:22:04.6377582Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6377733Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6377737Z 
2025-08-26T20:22:04.6377856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6378065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6378143Z     return mod(*inputs)
2025-08-26T20:22:04.6378334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6378484Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6378495Z 
2025-08-26T20:22:04.6378604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6378810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6378893Z     return mod(*inputs)
2025-08-26T20:22:04.6379088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6379246Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6379249Z 
2025-08-26T20:22:04.6379364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6379566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6379645Z     return mod(*inputs)
2025-08-26T20:22:04.6379837Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6379994Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6379998Z 
2025-08-26T20:22:04.6380109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6380315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6380399Z     return mod(*inputs)
2025-08-26T20:22:04.6380592Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6380751Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6380755Z 
2025-08-26T20:22:04.6380898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6381116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6381189Z     return mod(*inputs)
2025-08-26T20:22:04.6381381Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6381537Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6381540Z 
2025-08-26T20:22:04.6381650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6381865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6381937Z     return mod(*inputs)
2025-08-26T20:22:04.6382142Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6382291Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6382294Z 
2025-08-26T20:22:04.6382382Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6382473Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6382577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6382788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6382859Z     return mod(*inputs)
2025-08-26T20:22:04.6383052Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-08-26T20:22:04.6383179Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-08-26T20:22:04.6383457Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-26T20:22:04.6383548Z     grid = torch.stack((x, y), dim=3)
2025-08-26T20:22:04.6383552Z 
2025-08-26T20:22:04.6383638Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6383748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6383966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6384037Z     return mod(*inputs)
2025-08-26T20:22:04.6384235Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6384389Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6384393Z 
2025-08-26T20:22:04.6384503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6384718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6384791Z     return mod(*inputs)
2025-08-26T20:22:04.6384992Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6385142Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6385145Z 
2025-08-26T20:22:04.6385262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6385470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6385542Z     return mod(*inputs)
2025-08-26T20:22:04.6385744Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6385895Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6385898Z 
2025-08-26T20:22:04.6386015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6386222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6386297Z     return mod(*inputs)
2025-08-26T20:22:04.6386502Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6386652Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6386655Z 
2025-08-26T20:22:04.6386772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6387025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6387100Z     return mod(*inputs)
2025-08-26T20:22:04.6387307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6387458Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6387461Z 
2025-08-26T20:22:04.6387581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6387800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6387881Z     return mod(*inputs)
2025-08-26T20:22:04.6388079Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6388230Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6388234Z 
2025-08-26T20:22:04.6388353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6388562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6388638Z     return mod(*inputs)
2025-08-26T20:22:04.6388834Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6388984Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6388995Z 
2025-08-26T20:22:04.6389104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6389322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6389440Z     return mod(*inputs)
2025-08-26T20:22:04.6389636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6389791Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6389795Z 
2025-08-26T20:22:04.6389905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6390110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6390313Z     return mod(*inputs)
2025-08-26T20:22:04.6390535Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6390746Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6390750Z 
2025-08-26T20:22:04.6390897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6391137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6391510Z     return mod(*inputs)
2025-08-26T20:22:04.6391730Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6391910Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6391946Z 
2025-08-26T20:22:04.6392090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6392320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6392468Z     return mod(*inputs)
2025-08-26T20:22:04.6392698Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6392903Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6392907Z 
2025-08-26T20:22:04.6393042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6393296Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6393411Z     return mod(*inputs)
2025-08-26T20:22:04.6393653Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-26T20:22:04.6393868Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-26T20:22:04.6393907Z 
2025-08-26T20:22:04.6394027Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6394202Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6394314Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6394411Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6394580Z cudagraph partition due to non gpu ops
2025-08-26T20:22:04.6394719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:04.6394998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:04.6395094Z     return mod(*inputs)
2025-08-26T20:22:04.6395319Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 94, in forward
2025-08-26T20:22:04.6395525Z     loss = 204 * recnLoss + 102 * warpLoss + 0.005 * prcpLoss + loss_smooth
2025-08-26T20:22:04.6395530Z 
2025-08-26T20:22:30.3728769Z Compilation time (from dynamo_timed): 33.82806159
2025-08-26T20:22:30.3731445Z pass
2025-08-26T20:22:30.3731972Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:30.3733014Z TIMING: _recursive_pre_grad_passes:0.00965 _recursive_joint_graph_passes:0.28374 _recursive_post_grad_passes:0.16775 async_compile.wait:0.81824 code_gen:25.09869 inductor_compile:28.022 backend_compile:31.5454 gc:0.00014 entire_frame_compile:33.82806 total_wall_time:33.82806
2025-08-26T20:22:30.3734042Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:15272 | FakeTensor.__torch_dispatch__:9287 | ProxyTorchDispatchMode.__torch_dispatch__:6008
2025-08-26T20:22:30.3734622Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-08-26T20:22:35.3222952Z 
2025-08-26T20:22:35.7463064Z 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
2025-08-26T20:22:35.7603473Z 
2025-08-26T20:22:35.7603985Z 
2025-08-26T20:22:35.8606995Z   0% 0.00/233M [00:00<?, ?B/s]
2025-08-26T20:22:35.8607243Z 
2025-08-26T20:22:35.9608123Z  21% 47.9M/233M [00:00<00:00, 501MB/s]
2025-08-26T20:22:35.9608358Z 
2025-08-26T20:22:36.0643399Z  44% 103M/233M [00:00<00:00, 544MB/s] 
2025-08-26T20:22:36.0643751Z 
2025-08-26T20:22:36.1643479Z  66% 154M/233M [00:00<00:00, 535MB/s]
2025-08-26T20:22:36.1643721Z 
2025-08-26T20:22:36.2084798Z  89% 208M/233M [00:00<00:00, 545MB/s]
2025-08-26T20:22:36.2085123Z 100% 233M/233M [00:00<00:00, 546MB/s]
2025-08-26T20:22:36.5327816Z 
2025-08-26T20:22:36.5328847Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:22:36.5329186Z cpu  eval  alexnet                            
2025-08-26T20:22:36.6836566Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:36.7231231Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:36.7679754Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:39.4892154Z cudagraph partition due to non gpu ops
2025-08-26T20:22:39.4892590Z cudagraph partition due to non gpu ops
2025-08-26T20:22:39.4892882Z cudagraph partition due to non gpu ops
2025-08-26T20:22:39.4893126Z cudagraph partition due to non gpu ops
2025-08-26T20:22:39.4893363Z cudagraph partition due to non gpu ops
2025-08-26T20:22:39.4893593Z cudagraph partition due to non gpu ops
2025-08-26T20:22:39.4893878Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4894315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4894739Z     return mod(*inputs)
2025-08-26T20:22:39.4895131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4895536Z     x = self.features(x)
2025-08-26T20:22:39.4895671Z 
2025-08-26T20:22:39.4895790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4896572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4896949Z     return mod(*inputs)
2025-08-26T20:22:39.4897305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4897699Z     x = self.features(x)
2025-08-26T20:22:39.4897817Z 
2025-08-26T20:22:39.4897942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4898343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4898699Z     return mod(*inputs)
2025-08-26T20:22:39.4899059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4899457Z     x = self.features(x)
2025-08-26T20:22:39.4899575Z 
2025-08-26T20:22:39.4899695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4900091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4900447Z     return mod(*inputs)
2025-08-26T20:22:39.4900800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4901182Z     x = self.features(x)
2025-08-26T20:22:39.4901295Z 
2025-08-26T20:22:39.4901406Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4901795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4902143Z     return mod(*inputs)
2025-08-26T20:22:39.4902500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4903012Z     x = self.features(x)
2025-08-26T20:22:39.4903125Z 
2025-08-26T20:22:39.4903238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4903633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4903997Z     return mod(*inputs)
2025-08-26T20:22:39.4904344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4904720Z     x = self.features(x)
2025-08-26T20:22:39.4904844Z 
2025-08-26T20:22:39.4904957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4905364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4905756Z     return mod(*inputs)
2025-08-26T20:22:39.4906099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4906480Z     x = self.features(x)
2025-08-26T20:22:39.4906811Z 
2025-08-26T20:22:39.4906928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4907318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4907668Z     return mod(*inputs)
2025-08-26T20:22:39.4908013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4908387Z     x = self.features(x)
2025-08-26T20:22:39.4908510Z 
2025-08-26T20:22:39.4908620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4909006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4909365Z     return mod(*inputs)
2025-08-26T20:22:39.4909705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4910093Z     x = self.features(x)
2025-08-26T20:22:39.4910215Z 
2025-08-26T20:22:39.4910327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4910725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4911075Z     return mod(*inputs)
2025-08-26T20:22:39.4911497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-26T20:22:39.4911880Z     x = self.features(x)
2025-08-26T20:22:39.4911992Z 
2025-08-26T20:22:39.4912188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4912602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4912951Z     return mod(*inputs)
2025-08-26T20:22:39.4913296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-08-26T20:22:39.4913676Z     x = self.avgpool(x)
2025-08-26T20:22:39.4913794Z 
2025-08-26T20:22:39.4913914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4914292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4914642Z     return mod(*inputs)
2025-08-26T20:22:39.4915026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:22:39.4915419Z     x = self.classifier(x)
2025-08-26T20:22:39.4915546Z 
2025-08-26T20:22:39.4915688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4916068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4916410Z     return mod(*inputs)
2025-08-26T20:22:39.4916736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:22:39.4917097Z     x = self.classifier(x)
2025-08-26T20:22:39.4917212Z 
2025-08-26T20:22:39.4917373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4917718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4918039Z     return mod(*inputs)
2025-08-26T20:22:39.4918357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:22:39.4918714Z     x = self.classifier(x)
2025-08-26T20:22:39.4918822Z 
2025-08-26T20:22:39.4918929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4919269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4919585Z     return mod(*inputs)
2025-08-26T20:22:39.4919903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:22:39.4920244Z     x = self.classifier(x)
2025-08-26T20:22:39.4920353Z 
2025-08-26T20:22:39.4920456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:39.4920813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:39.4921139Z     return mod(*inputs)
2025-08-26T20:22:39.4921460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-26T20:22:39.4921812Z     x = self.classifier(x)
2025-08-26T20:22:39.4921928Z 
2025-08-26T20:22:48.1089708Z Compilation time (from dynamo_timed): 10.262857778
2025-08-26T20:22:48.1090028Z pass
2025-08-26T20:22:48.1094841Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:48.1095740Z TIMING: _recursive_pre_grad_passes:0.00371 _recursive_joint_graph_passes:0.12907 _recursive_post_grad_passes:0.22843 async_compile.wait:0.76243 code_gen:8.60136 inductor_compile:8.949 backend_compile:9.92725 gc:0.00012 entire_frame_compile:10.26286 total_wall_time:10.26286
2025-08-26T20:22:48.1096748Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:1180 | FakeTensor.__torch_dispatch__:163 | ProxyTorchDispatchMode.__torch_dispatch__:243
2025-08-26T20:22:48.1097338Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-08-26T20:22:52.4551241Z 
2025-08-26T20:22:54.2603048Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:22:54.2603578Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:22:54.2605182Z cpu  eval  basic_gnn_edgecnn                  
2025-08-26T20:22:54.8005744Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:55.0714899Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:55.3546321Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:22:56.7464378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7464912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7465334Z     return mod(*inputs)
2025-08-26T20:22:56.7465765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7466258Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7466533Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 233, in forward
2025-08-26T20:22:56.7466849Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7467162Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 192, in propagate
2025-08-26T20:22:56.7467566Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:22:56.7468090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:22:56.7468581Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:22:56.7469024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:22:56.7469793Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:22:56.7470233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:22:56.7470681Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:22:56.7471116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:22:56.7471531Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:22:56.7471939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:22:56.7472361Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:22:56.7472532Z 
2025-08-26T20:22:56.7472666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7473080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7473463Z     return mod(*inputs)
2025-08-26T20:22:56.7473846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7474250Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7474530Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 233, in forward
2025-08-26T20:22:56.7474843Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7475189Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 192, in propagate
2025-08-26T20:22:56.7475569Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:22:56.7476112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:22:56.7476592Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:22:56.7477025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:22:56.7477473Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:22:56.7477918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:22:56.7478459Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:22:56.7478883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:22:56.7479283Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:22:56.7479695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:22:56.7480098Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:22:56.7480259Z 
2025-08-26T20:22:56.7480388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7480798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7481162Z     return mod(*inputs)
2025-08-26T20:22:56.7481547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7481954Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7482230Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 233, in forward
2025-08-26T20:22:56.7482518Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7482812Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 192, in propagate
2025-08-26T20:22:56.7483177Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:22:56.7483717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:22:56.7484205Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:22:56.7484703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:22:56.7485141Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:22:56.7485566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-26T20:22:56.7486006Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-26T20:22:56.7486431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:22:56.7486829Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:22:56.7487234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-26T20:22:56.7487637Z     return src.new_zeros(size).scatter_reduce_(
2025-08-26T20:22:56.7487793Z 
2025-08-26T20:22:56.7487918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7488313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7488672Z     return mod(*inputs)
2025-08-26T20:22:56.7489044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7489454Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7489724Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 233, in forward
2025-08-26T20:22:56.7490011Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7490310Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 191, in propagate
2025-08-26T20:22:56.7490607Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7491024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7491461Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7491637Z 
2025-08-26T20:22:56.7491754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7492163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7492723Z     return mod(*inputs)
2025-08-26T20:22:56.7493113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7493585Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7493865Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 233, in forward
2025-08-26T20:22:56.7494170Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7494473Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 191, in propagate
2025-08-26T20:22:56.7494780Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7495216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7495650Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7496069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:22:56.7496459Z     x = lin(x)
2025-08-26T20:22:56.7496814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:22:56.7497238Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:22:56.7497399Z 
2025-08-26T20:22:56.7497517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7497918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7498296Z     return mod(*inputs)
2025-08-26T20:22:56.7498678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7499088Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7499358Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 233, in forward
2025-08-26T20:22:56.7499704Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7500012Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 191, in propagate
2025-08-26T20:22:56.7500313Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7500726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7501156Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7501571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:22:56.7501955Z     x = self.act(x)
2025-08-26T20:22:56.7502072Z 
2025-08-26T20:22:56.7502187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7502547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7502877Z     return mod(*inputs)
2025-08-26T20:22:56.7503219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7503594Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7503834Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 233, in forward
2025-08-26T20:22:56.7504112Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7504394Z   File "/tmp/jenkins_pyg/tmpeovmtigr.py", line 191, in propagate
2025-08-26T20:22:56.7504672Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7505059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7505442Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7505839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:22:56.7506216Z     x = self.lins[-1](x)
2025-08-26T20:22:56.7506860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:22:56.7507273Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:22:56.7507440Z 
2025-08-26T20:22:56.7507534Z cudagraph partition due to non gpu ops
2025-08-26T20:22:56.7507796Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7508290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7508653Z     return mod(*inputs)
2025-08-26T20:22:56.7509025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7509441Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7509701Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 233, in forward
2025-08-26T20:22:56.7509984Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7510265Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 191, in propagate
2025-08-26T20:22:56.7510550Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7510967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7511391Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7511554Z 
2025-08-26T20:22:56.7511674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7512058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7512420Z     return mod(*inputs)
2025-08-26T20:22:56.7512804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7513970Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7514399Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 233, in forward
2025-08-26T20:22:56.7514831Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7515264Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 191, in propagate
2025-08-26T20:22:56.7516013Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7516675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7517274Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7517888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:22:56.7518425Z     x = lin(x)
2025-08-26T20:22:56.7518913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:22:56.7519497Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:22:56.7520297Z 
2025-08-26T20:22:56.7520552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7521040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7521452Z     return mod(*inputs)
2025-08-26T20:22:56.7521909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7522321Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7522612Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 233, in forward
2025-08-26T20:22:56.7522922Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7523249Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 191, in propagate
2025-08-26T20:22:56.7523594Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7524044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7524480Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7524902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:22:56.7525318Z     x = self.act(x)
2025-08-26T20:22:56.7525436Z 
2025-08-26T20:22:56.7525556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7526802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7527315Z     return mod(*inputs)
2025-08-26T20:22:56.7529083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7529655Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7529941Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 233, in forward
2025-08-26T20:22:56.7530244Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7530556Z   File "/tmp/jenkins_pyg/tmpu1r1tob2.py", line 191, in propagate
2025-08-26T20:22:56.7530864Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7531285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7531736Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7532159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:22:56.7532753Z     x = self.lins[-1](x)
2025-08-26T20:22:56.7533145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:22:56.7533582Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:22:56.7533755Z 
2025-08-26T20:22:56.7533851Z cudagraph partition due to non gpu ops
2025-08-26T20:22:56.7534131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7534553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7534927Z     return mod(*inputs)
2025-08-26T20:22:56.7535313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7535737Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7536086Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 233, in forward
2025-08-26T20:22:56.7536380Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7536685Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 191, in propagate
2025-08-26T20:22:56.7536990Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7537398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7537798Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7537958Z 
2025-08-26T20:22:56.7538067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7538435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7538779Z     return mod(*inputs)
2025-08-26T20:22:56.7539133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7539513Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7539769Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 233, in forward
2025-08-26T20:22:56.7540086Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7540380Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 191, in propagate
2025-08-26T20:22:56.7540657Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7541045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7541445Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7541874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:22:56.7542231Z     x = lin(x)
2025-08-26T20:22:56.7542555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:22:56.7542939Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:22:56.7543095Z 
2025-08-26T20:22:56.7543203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7543577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7543915Z     return mod(*inputs)
2025-08-26T20:22:56.7544314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7544689Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7544937Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 233, in forward
2025-08-26T20:22:56.7545215Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7545498Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 191, in propagate
2025-08-26T20:22:56.7545772Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7546161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7546559Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7546942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:22:56.7547297Z     x = self.act(x)
2025-08-26T20:22:56.7547398Z 
2025-08-26T20:22:56.7547509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:22:56.7547874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:22:56.7548236Z     return mod(*inputs)
2025-08-26T20:22:56.7548584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:22:56.7548985Z     x = self.convs[i](x, edge_index)
2025-08-26T20:22:56.7549227Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 233, in forward
2025-08-26T20:22:56.7549502Z     return self.propagate(edge_index, x=x, size=None)
2025-08-26T20:22:56.7549825Z   File "/tmp/jenkins_pyg/tmpeny95h25.py", line 191, in propagate
2025-08-26T20:22:56.7550104Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-26T20:22:56.7550487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-26T20:22:56.7550883Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-26T20:22:56.7551277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:22:56.7551641Z     x = self.lins[-1](x)
2025-08-26T20:22:56.7551985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:22:56.7552366Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:22:56.7552525Z 
2025-08-26T20:22:56.7552614Z cudagraph partition due to non gpu ops
2025-08-26T20:23:03.4672062Z Compilation time (from dynamo_timed): 7.896673696
2025-08-26T20:23:03.4672434Z pass
2025-08-26T20:23:03.4672758Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:03.4673640Z TIMING: _recursive_pre_grad_passes:0.00431 _recursive_joint_graph_passes:0.13779 _recursive_post_grad_passes:0.01939 async_compile.wait:0.52294 code_gen:6.46549 inductor_compile:6.5683 backend_compile:7.48588 gc:0.00058 entire_frame_compile:7.89667 total_wall_time:7.89667
2025-08-26T20:23:03.4674698Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:1404 | FakeTensor.__torch_dispatch__:299 | ProxyTorchDispatchMode.__torch_dispatch__:429
2025-08-26T20:23:03.4675246Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-08-26T20:23:07.6515543Z 
2025-08-26T20:23:09.3848569Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:09.3848954Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:09.3849272Z cpu  eval  basic_gnn_gcn                      
2025-08-26T20:23:09.5587148Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:09.6510653Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:09.7501907Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:10.8823004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:10.8824318Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-08-26T20:23:10.8824857Z     mask = edge_index[0] != edge_index[1]
2025-08-26T20:23:10.8825042Z 
2025-08-26T20:23:10.8825205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:10.8825747Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-08-26T20:23:10.8826268Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-08-26T20:23:10.8826439Z 
2025-08-26T20:23:17.4359287Z cudagraph partition due to non gpu ops
2025-08-26T20:23:17.4359800Z cudagraph partition due to non gpu ops
2025-08-26T20:23:17.4360306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:17.4361650Z    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
2025-08-26T20:23:17.4362342Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-08-26T20:23:17.4362563Z 
2025-08-26T20:23:18.1529757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:18.1530463Z    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
2025-08-26T20:23:18.1531112Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-08-26T20:23:18.1531625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:18.1532883Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:18.1533095Z 
2025-08-26T20:23:18.1533224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:18.1533759Z    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
2025-08-26T20:23:18.1534333Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-08-26T20:23:18.1534551Z 
2025-08-26T20:23:18.1534659Z cudagraph partition due to non gpu ops
2025-08-26T20:23:18.1534939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:18.1535459Z    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
2025-08-26T20:23:18.1536033Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-08-26T20:23:18.1536246Z 
2025-08-26T20:23:19.1831352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:19.1831844Z    File "/tmp/jenkins_pyg/tmpe8mkjh_u.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:19.1832181Z     x = self.lin(x)
2025-08-26T20:23:19.1832584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:19.1833010Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:19.1833184Z 
2025-08-26T20:23:19.1833309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:19.1833727Z    File "/tmp/jenkins_pyg/tmpe8mkjh_u.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:19.1834171Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-26T20:23:19.1834514Z   File "/tmp/jenkins_pyg/tmpe8mkjh_u.py", line 188, in propagate
2025-08-26T20:23:19.1834907Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-26T20:23:19.1835444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:19.1835934Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:19.1836388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:19.1837217Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:19.1837646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:19.1838097Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:19.1838546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:19.1838982Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:19.1839394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:19.1839856Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:19.1840046Z 
2025-08-26T20:23:19.1840164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:19.1840527Z    File "/tmp/jenkins_pyg/tmpe8mkjh_u.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:19.1840924Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-26T20:23:19.1841325Z   File "/tmp/jenkins_pyg/tmpe8mkjh_u.py", line 187, in propagate
2025-08-26T20:23:19.1841650Z     out = self.message(x_j=kwargs.x_j, edge_weight=kwargs.edge_weight)
2025-08-26T20:23:19.1842101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-08-26T20:23:19.1842558Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-08-26T20:23:19.1842755Z 
2025-08-26T20:23:19.1842855Z cudagraph partition due to non gpu ops
2025-08-26T20:23:19.1843109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:19.1843593Z    File "/tmp/jenkins_pyg/tmpe8mkjh_u.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-08-26T20:23:19.1843963Z     out = out + self.bias
2025-08-26T20:23:19.1844083Z 
2025-08-26T20:23:20.5807056Z Compilation time (from dynamo_timed): 10.643596777
2025-08-26T20:23:20.5807621Z pass
2025-08-26T20:23:20.5808044Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:20.5808974Z TIMING: gc:0.00834 entire_frame_compile:10.6436 _recursive_pre_grad_passes:0.0069 _recursive_joint_graph_passes:0.13886 _recursive_post_grad_passes:0.02389 async_compile.wait:2.33169 code_gen:8.42047 inductor_compile:8.55339 backend_compile:9.51362 total_wall_time:10.6436
2025-08-26T20:23:20.5810132Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:1070 | FakeTensor.__torch_dispatch__:179 | ProxyTorchDispatchMode.__torch_dispatch__:220
2025-08-26T20:23:20.5810673Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-08-26T20:23:24.7657577Z 
2025-08-26T20:23:26.5012807Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:26.5013278Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:26.5015541Z cpu  eval  basic_gnn_gin                      
2025-08-26T20:23:26.5882646Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:26.6364408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:26.6850803Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:28.0548240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0550753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0551158Z     return mod(*inputs)
2025-08-26T20:23:28.0551741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0552279Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0552577Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 225, in forward
2025-08-26T20:23:28.0552909Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:28.0553225Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 182, in propagate
2025-08-26T20:23:28.0554009Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-26T20:23:28.0554576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:28.0555090Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:28.0555579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:28.0556045Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:28.0556504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:28.0556964Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:28.0557428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:28.0557851Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:28.0558275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:28.0558713Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:28.0558907Z 
2025-08-26T20:23:28.0559036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0559461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0559840Z     return mod(*inputs)
2025-08-26T20:23:28.0560227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0560757Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0561033Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 225, in forward
2025-08-26T20:23:28.0561349Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:28.0561655Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 180, in propagate
2025-08-26T20:23:28.0561966Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:28.0562278Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 127, in _collect
2025-08-26T20:23:28.0562556Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:28.0562828Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 87, in _lift
2025-08-26T20:23:28.0563111Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:28.0563289Z 
2025-08-26T20:23:28.0563411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0563824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0564200Z     return mod(*inputs)
2025-08-26T20:23:28.0564578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0564999Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0565275Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 225, in forward
2025-08-26T20:23:28.0565576Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:28.0565876Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 182, in propagate
2025-08-26T20:23:28.0566246Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-26T20:23:28.0566795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:28.0567299Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:28.0567868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:28.0568391Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:28.0568825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:28.0570152Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:28.0570615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:28.0571041Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:28.0571470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:28.0571912Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:28.0572106Z 
2025-08-26T20:23:28.0572229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0572860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0573235Z     return mod(*inputs)
2025-08-26T20:23:28.0573619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0574045Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0574331Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 225, in forward
2025-08-26T20:23:28.0574634Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:28.0574934Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 182, in propagate
2025-08-26T20:23:28.0575318Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-26T20:23:28.0575857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:28.0576369Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:28.0576895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:28.0577377Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:28.0577929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-26T20:23:28.0578382Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-26T20:23:28.0578813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:28.0579230Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:28.0579634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-26T20:23:28.0580052Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:28.0580240Z 
2025-08-26T20:23:28.0580335Z cudagraph partition due to non gpu ops
2025-08-26T20:23:28.0580611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0581003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0581354Z     return mod(*inputs)
2025-08-26T20:23:28.0581732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0582135Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0582402Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 229, in forward
2025-08-26T20:23:28.0582668Z     out = out + (1 + self.eps) * x_r
2025-08-26T20:23:28.0582803Z 
2025-08-26T20:23:28.0582917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0583303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0583652Z     return mod(*inputs)
2025-08-26T20:23:28.0584023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0584419Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0584680Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 231, in forward
2025-08-26T20:23:28.0584937Z     return self.nn(out)
2025-08-26T20:23:28.0585431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:28.0585806Z     x = lin(x)
2025-08-26T20:23:28.0586143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:28.0586556Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:28.0586724Z 
2025-08-26T20:23:28.0586842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0587245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0587597Z     return mod(*inputs)
2025-08-26T20:23:28.0587973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0588390Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0588664Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 231, in forward
2025-08-26T20:23:28.0591145Z     return self.nn(out)
2025-08-26T20:23:28.0591582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:28.0591988Z     x = self.act(x)
2025-08-26T20:23:28.0592104Z 
2025-08-26T20:23:28.0592236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0592650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0593007Z     return mod(*inputs)
2025-08-26T20:23:28.0593390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0593798Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0594182Z   File "/tmp/jenkins_pyg/tmpp4m7q3t2.py", line 231, in forward
2025-08-26T20:23:28.0594462Z     return self.nn(out)
2025-08-26T20:23:28.0594820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:28.0595215Z     x = self.lins[-1](x)
2025-08-26T20:23:28.0595636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:28.0596071Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:28.0596235Z 
2025-08-26T20:23:28.0596353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0596755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0597114Z     return mod(*inputs)
2025-08-26T20:23:28.0597488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0597900Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0598161Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 225, in forward
2025-08-26T20:23:28.0598461Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:28.0598767Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 180, in propagate
2025-08-26T20:23:28.0599086Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:28.0599394Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 127, in _collect
2025-08-26T20:23:28.0599671Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:28.0599940Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 87, in _lift
2025-08-26T20:23:28.0600225Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:28.0600391Z 
2025-08-26T20:23:28.0600485Z cudagraph partition due to non gpu ops
2025-08-26T20:23:28.0600755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0601154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0601519Z     return mod(*inputs)
2025-08-26T20:23:28.0601897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0602297Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0602566Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 229, in forward
2025-08-26T20:23:28.0602894Z     out = out + (1 + self.eps) * x_r
2025-08-26T20:23:28.0603035Z 
2025-08-26T20:23:28.0603160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0603546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0603902Z     return mod(*inputs)
2025-08-26T20:23:28.0604276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0604690Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0604952Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 231, in forward
2025-08-26T20:23:28.0605211Z     return self.nn(out)
2025-08-26T20:23:28.0605572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:28.0605957Z     x = lin(x)
2025-08-26T20:23:28.0606307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:28.0606898Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:28.0607072Z 
2025-08-26T20:23:28.0607194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0607592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0607954Z     return mod(*inputs)
2025-08-26T20:23:28.0608325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0608734Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0609004Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 231, in forward
2025-08-26T20:23:28.0609380Z     return self.nn(out)
2025-08-26T20:23:28.0609743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:28.0610126Z     x = self.act(x)
2025-08-26T20:23:28.0610244Z 
2025-08-26T20:23:28.0610362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0610783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0611157Z     return mod(*inputs)
2025-08-26T20:23:28.0611525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0611942Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0612213Z   File "/tmp/jenkins_pyg/tmp_s72m59e.py", line 231, in forward
2025-08-26T20:23:28.0612571Z     return self.nn(out)
2025-08-26T20:23:28.0612941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:28.0613339Z     x = self.lins[-1](x)
2025-08-26T20:23:28.0613711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:28.0614134Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:28.0614296Z 
2025-08-26T20:23:28.0614426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0614835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0615207Z     return mod(*inputs)
2025-08-26T20:23:28.0615583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0615997Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0616267Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 225, in forward
2025-08-26T20:23:28.0616579Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:28.0616892Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 180, in propagate
2025-08-26T20:23:28.0617207Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:28.0617518Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 127, in _collect
2025-08-26T20:23:28.0617786Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:28.0618142Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 87, in _lift
2025-08-26T20:23:28.0618435Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:28.0618600Z 
2025-08-26T20:23:28.0618700Z cudagraph partition due to non gpu ops
2025-08-26T20:23:28.0618960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0619356Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0619719Z     return mod(*inputs)
2025-08-26T20:23:28.0620102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0620513Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0620775Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 229, in forward
2025-08-26T20:23:28.0621047Z     out = out + (1 + self.eps) * x_r
2025-08-26T20:23:28.0621194Z 
2025-08-26T20:23:28.0621311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0621709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0622062Z     return mod(*inputs)
2025-08-26T20:23:28.0622437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0622841Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0623109Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 231, in forward
2025-08-26T20:23:28.0623372Z     return self.nn(out)
2025-08-26T20:23:28.0623725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 206, in forward
2025-08-26T20:23:28.0624151Z     x = lin(x)
2025-08-26T20:23:28.0624501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:28.0624919Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:28.0625081Z 
2025-08-26T20:23:28.0625200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0625597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0625959Z     return mod(*inputs)
2025-08-26T20:23:28.0626381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0626786Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0627047Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 231, in forward
2025-08-26T20:23:28.0627310Z     return self.nn(out)
2025-08-26T20:23:28.0627668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-26T20:23:28.0628062Z     x = self.act(x)
2025-08-26T20:23:28.0628170Z 
2025-08-26T20:23:28.0628297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:28.0628688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:28.0629048Z     return mod(*inputs)
2025-08-26T20:23:28.0629425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:28.0629832Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:28.0630096Z   File "/tmp/jenkins_pyg/tmpt7oww5yt.py", line 231, in forward
2025-08-26T20:23:28.0630359Z     return self.nn(out)
2025-08-26T20:23:28.0630722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-26T20:23:28.0631108Z     x = self.lins[-1](x)
2025-08-26T20:23:28.0631474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:28.0631886Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:28.0632054Z 
2025-08-26T20:23:34.6064461Z Compilation time (from dynamo_timed): 7.813485701
2025-08-26T20:23:34.6064769Z pass
2025-08-26T20:23:34.6067402Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:34.6070253Z TIMING: _recursive_pre_grad_passes:0.00395 _recursive_joint_graph_passes:0.1433 _recursive_post_grad_passes:0.0207 async_compile.wait:0.537 code_gen:6.39358 inductor_compile:6.4999 backend_compile:7.42089 gc:0.00038 entire_frame_compile:7.81349 total_wall_time:7.81349
2025-08-26T20:23:34.6071299Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:1321 | FakeTensor.__torch_dispatch__:296 | ProxyTorchDispatchMode.__torch_dispatch__:420
2025-08-26T20:23:34.6071865Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-08-26T20:23:38.7875611Z 
2025-08-26T20:23:40.5300517Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:40.5300938Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:23:40.5301251Z cpu  eval  basic_gnn_sage                     
2025-08-26T20:23:40.6377528Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:40.6837222Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:40.7294413Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:42.0948811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0949392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0949811Z     return mod(*inputs)
2025-08-26T20:23:42.0950259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0950738Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0951448Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 228, in forward
2025-08-26T20:23:42.0951782Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0952128Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 182, in propagate
2025-08-26T20:23:42.0952538Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.0953098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.0953624Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.0954082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.0954534Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.0954977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.0955422Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.0955849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.0956266Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.0956676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-26T20:23:42.0957098Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:42.0957286Z 
2025-08-26T20:23:42.0957410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0957815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0958191Z     return mod(*inputs)
2025-08-26T20:23:42.0958574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0958985Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0959267Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 228, in forward
2025-08-26T20:23:42.0959561Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0959860Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 180, in propagate
2025-08-26T20:23:42.0960256Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:42.0960564Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 127, in _collect
2025-08-26T20:23:42.0960851Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:42.0961113Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 87, in _lift
2025-08-26T20:23:42.0961406Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:42.0961568Z 
2025-08-26T20:23:42.0961685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0962085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0962467Z     return mod(*inputs)
2025-08-26T20:23:42.0962849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0963278Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0963547Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 228, in forward
2025-08-26T20:23:42.0963840Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0964137Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 182, in propagate
2025-08-26T20:23:42.0964497Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.0965022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.0965522Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.0965964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.0966464Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.0966905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.0967363Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.0967816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.0968245Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.0968643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:23:42.0969083Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:23:42.0969276Z 
2025-08-26T20:23:42.0969394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0969791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0970159Z     return mod(*inputs)
2025-08-26T20:23:42.0970601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0971015Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0971287Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 228, in forward
2025-08-26T20:23:42.0971587Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0971891Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 182, in propagate
2025-08-26T20:23:42.0972264Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.0973015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.0973516Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.0973972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.0974423Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.0974853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.0975310Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.0975806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.0976227Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.0976644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:23:42.0977093Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:23:42.0977293Z 
2025-08-26T20:23:42.0977416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0977828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0978202Z     return mod(*inputs)
2025-08-26T20:23:42.0978593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0979008Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0979287Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 228, in forward
2025-08-26T20:23:42.0979598Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0979912Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 182, in propagate
2025-08-26T20:23:42.0980289Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.0980828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.0981330Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.0981792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.0982273Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.0982700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.0983149Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.0983585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.0984002Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.0984423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-26T20:23:42.0984833Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:42.0985017Z 
2025-08-26T20:23:42.0985135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0985533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0985889Z     return mod(*inputs)
2025-08-26T20:23:42.0986255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0986659Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0986928Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 228, in forward
2025-08-26T20:23:42.0987221Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0987513Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 182, in propagate
2025-08-26T20:23:42.0987868Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.0988384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.0988860Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.0989305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.0989728Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.0990147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.0990647Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.0991078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.0991490Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.0991884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:23:42.0992315Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:23:42.0992505Z 
2025-08-26T20:23:42.0992622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.0993029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.0993428Z     return mod(*inputs)
2025-08-26T20:23:42.0993802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.0994217Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.0994494Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 228, in forward
2025-08-26T20:23:42.0994793Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.0995087Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 182, in propagate
2025-08-26T20:23:42.0995461Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.0995992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.0996487Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.0996978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.0997411Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.0997841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.0998288Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.0998719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.0999131Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.0999533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:23:42.0999976Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:23:42.1000171Z 
2025-08-26T20:23:42.1000291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1000703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1001068Z     return mod(*inputs)
2025-08-26T20:23:42.1001443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1001860Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1002136Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 228, in forward
2025-08-26T20:23:42.1002436Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1002734Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 182, in propagate
2025-08-26T20:23:42.1003115Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.1003642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.1004135Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.1004586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.1005026Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.1005506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.1005963Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.1006411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.1008155Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.1008643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-26T20:23:42.1009109Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-26T20:23:42.1009333Z 
2025-08-26T20:23:42.1009472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1009914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1010296Z     return mod(*inputs)
2025-08-26T20:23:42.1010735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1011174Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1011467Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 228, in forward
2025-08-26T20:23:42.1011778Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1012083Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 182, in propagate
2025-08-26T20:23:42.1012625Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.1013206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.1014008Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.1014471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.1014936Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.1015393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.1015865Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.1016328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.1016753Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.1017183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:23:42.1017634Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:23:42.1017828Z 
2025-08-26T20:23:42.1017962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1018380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1018752Z     return mod(*inputs)
2025-08-26T20:23:42.1019155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1019584Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1019862Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 228, in forward
2025-08-26T20:23:42.1020163Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1020475Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 182, in propagate
2025-08-26T20:23:42.1020862Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.1021404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.1021916Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.1022367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.1022819Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.1023359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.1023836Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.1024276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.1024689Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.1025163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-26T20:23:42.1025611Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-26T20:23:42.1025815Z 
2025-08-26T20:23:42.1025924Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1026165Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1026443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1026846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1027223Z     return mod(*inputs)
2025-08-26T20:23:42.1027603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1028035Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1028311Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 228, in forward
2025-08-26T20:23:42.1028608Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1028916Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 182, in propagate
2025-08-26T20:23:42.1029281Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.1029852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.1030344Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.1030827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.1031291Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.1031728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.1032188Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.1032619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.1033042Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.1033466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-26T20:23:42.1033872Z     return out / broadcast(count, out, dim)
2025-08-26T20:23:42.1034040Z 
2025-08-26T20:23:42.1034166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1034589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1034966Z     return mod(*inputs)
2025-08-26T20:23:42.1035351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1035777Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1036066Z   File "/tmp/jenkins_pyg/tmpne0rk7mh.py", line 229, in forward
2025-08-26T20:23:42.1036350Z     out = self.lin_l(out)
2025-08-26T20:23:42.1036741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:42.1037171Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:42.1037347Z 
2025-08-26T20:23:42.1037444Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1037727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1038136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1038553Z     return mod(*inputs)
2025-08-26T20:23:42.1038959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1039377Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1039656Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 228, in forward
2025-08-26T20:23:42.1039962Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1040272Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 180, in propagate
2025-08-26T20:23:42.1040610Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:42.1040945Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 127, in _collect
2025-08-26T20:23:42.1041223Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:42.1041490Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 87, in _lift
2025-08-26T20:23:42.1041788Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:42.1041958Z 
2025-08-26T20:23:42.1042051Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1042291Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1042548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1042941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1043302Z     return mod(*inputs)
2025-08-26T20:23:42.1043686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1044100Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1044364Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 228, in forward
2025-08-26T20:23:42.1044745Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1045048Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 182, in propagate
2025-08-26T20:23:42.1045425Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.1045961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.1046462Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.1046918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.1047368Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.1047807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.1048251Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.1048693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.1049106Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.1049521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-26T20:23:42.1049932Z     return out / broadcast(count, out, dim)
2025-08-26T20:23:42.1050090Z 
2025-08-26T20:23:42.1050212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1050615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1050996Z     return mod(*inputs)
2025-08-26T20:23:42.1051379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1051778Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1052052Z   File "/tmp/jenkins_pyg/tmp879986yo.py", line 229, in forward
2025-08-26T20:23:42.1052327Z     out = self.lin_l(out)
2025-08-26T20:23:42.1052892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:42.1053326Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:42.1053491Z 
2025-08-26T20:23:42.1053674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1054076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1054456Z     return mod(*inputs)
2025-08-26T20:23:42.1054840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-26T20:23:42.1055232Z     x = self.act(x)
2025-08-26T20:23:42.1055347Z 
2025-08-26T20:23:42.1055442Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1055715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1056119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1056508Z     return mod(*inputs)
2025-08-26T20:23:42.1056877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1057284Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1057561Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 228, in forward
2025-08-26T20:23:42.1057866Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1058163Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 180, in propagate
2025-08-26T20:23:42.1058481Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-26T20:23:42.1058793Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 127, in _collect
2025-08-26T20:23:42.1059068Z     x_j = self._lift(x_j, edge_def, j)
2025-08-26T20:23:42.1059335Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 87, in _lift
2025-08-26T20:23:42.1059631Z     return src.index_select(self.node_dim, index)
2025-08-26T20:23:42.1059858Z 
2025-08-26T20:23:42.1059947Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1060179Z cudagraph partition due to non gpu ops
2025-08-26T20:23:42.1060439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1060815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1061175Z     return mod(*inputs)
2025-08-26T20:23:42.1061559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1061969Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1062232Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 228, in forward
2025-08-26T20:23:42.1062534Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-26T20:23:42.1062835Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 182, in propagate
2025-08-26T20:23:42.1063220Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-26T20:23:42.1063746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-26T20:23:42.1064223Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-26T20:23:42.1064681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-26T20:23:42.1065127Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-26T20:23:42.1065570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-26T20:23:42.1065992Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-26T20:23:42.1066430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-26T20:23:42.1066834Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-26T20:23:42.1067243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-26T20:23:42.1067638Z     return out / broadcast(count, out, dim)
2025-08-26T20:23:42.1067788Z 
2025-08-26T20:23:42.1067905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1068349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1068710Z     return mod(*inputs)
2025-08-26T20:23:42.1069077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-26T20:23:42.1069474Z     x = self.convs[i](x, edge_index)
2025-08-26T20:23:42.1069731Z   File "/tmp/jenkins_pyg/tmpz0rqllsu.py", line 229, in forward
2025-08-26T20:23:42.1069993Z     out = self.lin_l(out)
2025-08-26T20:23:42.1070362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-26T20:23:42.1070773Z     return F.linear(x, self.weight, self.bias)
2025-08-26T20:23:42.1070932Z 
2025-08-26T20:23:42.1071048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:42.1071460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:42.1071836Z     return mod(*inputs)
2025-08-26T20:23:42.1072217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-26T20:23:42.1072613Z     x = self.act(x)
2025-08-26T20:23:42.1072723Z 
2025-08-26T20:23:42.1072816Z cudagraph partition due to non gpu ops
2025-08-26T20:23:48.7081882Z Compilation time (from dynamo_timed): 7.834720878
2025-08-26T20:23:48.7088294Z pass
2025-08-26T20:23:48.7088796Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:48.7089720Z TIMING: _recursive_pre_grad_passes:0.00406 _recursive_joint_graph_passes:0.14659 _recursive_post_grad_passes:0.03602 async_compile.wait:0.53033 code_gen:6.44501 inductor_compile:6.57059 backend_compile:7.50624 gc:0.00103 entire_frame_compile:7.83472 total_wall_time:7.83472
2025-08-26T20:23:48.7091301Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:1355 | FakeTensor.__torch_dispatch__:273 | ProxyTorchDispatchMode.__torch_dispatch__:444
2025-08-26T20:23:48.7091886Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-26T20:23:52.8985348Z 
2025-08-26T20:23:53.1385318Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:53.1385658Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:23:53.1385905Z cpu  eval  dcgan                              
2025-08-26T20:23:53.1587210Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:53.1667513Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:53.1723845Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:23:55.7737340Z cudagraph partition due to non gpu ops
2025-08-26T20:23:55.7737705Z cudagraph partition due to non gpu ops
2025-08-26T20:23:55.7738091Z cudagraph partition due to non gpu ops
2025-08-26T20:23:55.7738361Z cudagraph partition due to non gpu ops
2025-08-26T20:23:55.7738637Z cudagraph partition due to non gpu ops
2025-08-26T20:23:55.7738914Z cudagraph partition due to non gpu ops
2025-08-26T20:23:55.7739195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7739633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7740016Z     return mod(*inputs)
2025-08-26T20:23:55.7740342Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7740691Z     return self.main(input)
2025-08-26T20:23:55.7740831Z 
2025-08-26T20:23:55.7740961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7741376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7741770Z     return mod(*inputs)
2025-08-26T20:23:55.7742082Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7742422Z     return self.main(input)
2025-08-26T20:23:55.7742552Z 
2025-08-26T20:23:55.7742681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7743464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7743842Z     return mod(*inputs)
2025-08-26T20:23:55.7744156Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7744493Z     return self.main(input)
2025-08-26T20:23:55.7744625Z 
2025-08-26T20:23:55.7744750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7745170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7745530Z     return mod(*inputs)
2025-08-26T20:23:55.7745839Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7746170Z     return self.main(input)
2025-08-26T20:23:55.7746299Z 
2025-08-26T20:23:55.7746419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7746822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7747196Z     return mod(*inputs)
2025-08-26T20:23:55.7747483Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7747800Z     return self.main(input)
2025-08-26T20:23:55.7747929Z 
2025-08-26T20:23:55.7748042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7748490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7748851Z     return mod(*inputs)
2025-08-26T20:23:55.7749148Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7749593Z     return self.main(input)
2025-08-26T20:23:55.7749720Z 
2025-08-26T20:23:55.7749844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:23:55.7750248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:23:55.7750603Z     return mod(*inputs)
2025-08-26T20:23:55.7750903Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-26T20:23:55.7751235Z     return self.main(input)
2025-08-26T20:23:55.7751361Z 
2025-08-26T20:24:03.1270615Z Compilation time (from dynamo_timed): 8.931104533
2025-08-26T20:24:03.1271167Z pass
2025-08-26T20:24:03.1277655Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:03.1278563Z TIMING: _recursive_pre_grad_passes:0.00361 _recursive_joint_graph_passes:0.3445 _recursive_post_grad_passes:0.02056 async_compile.wait:0.6987 code_gen:7.30967 inductor_compile:7.46627 backend_compile:8.57973 gc:0.00031 entire_frame_compile:8.9311 total_wall_time:8.9311
2025-08-26T20:24:03.1279626Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1052 | FakeTensor.__torch_dispatch__:371 | ProxyTorchDispatchMode.__torch_dispatch__:315
2025-08-26T20:24:03.1280170Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-08-26T20:24:07.3153620Z 
2025-08-26T20:24:09.3605458Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:09.3605806Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:24:09.3608781Z cpu  eval  demucs                             
2025-08-26T20:24:10.8827739Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:11.5325188Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:12.2138736Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:14.9057615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:14.9058083Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-08-26T20:24:14.9058441Z     mix = sources.sum(dim=1)
2025-08-26T20:24:14.9058587Z 
2025-08-26T20:24:22.5095349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5099188Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5099748Z     x = encode(x)
2025-08-26T20:24:22.5103889Z 
2025-08-26T20:24:22.5108607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5113677Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5118617Z     x = encode(x)
2025-08-26T20:24:22.5118775Z 
2025-08-26T20:24:22.5118972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5119450Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5119842Z     x = encode(x)
2025-08-26T20:24:22.5119953Z 
2025-08-26T20:24:22.5120076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5120466Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5120811Z     x = encode(x)
2025-08-26T20:24:22.5120919Z 
2025-08-26T20:24:22.5121054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5121453Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5121792Z     x = encode(x)
2025-08-26T20:24:22.5121905Z 
2025-08-26T20:24:22.5122025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5122418Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5122758Z     x = encode(x)
2025-08-26T20:24:22.5122859Z 
2025-08-26T20:24:22.5122977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5123374Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5124028Z     x = encode(x)
2025-08-26T20:24:22.5124133Z 
2025-08-26T20:24:22.5124259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5124653Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5124990Z     x = encode(x)
2025-08-26T20:24:22.5125104Z 
2025-08-26T20:24:22.5125220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5125610Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5125948Z     x = encode(x)
2025-08-26T20:24:22.5126047Z 
2025-08-26T20:24:22.5126161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5126535Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5126867Z     x = encode(x)
2025-08-26T20:24:22.5126968Z 
2025-08-26T20:24:22.5127088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5127467Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5127795Z     x = encode(x)
2025-08-26T20:24:22.5127904Z 
2025-08-26T20:24:22.5128019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5128425Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5128773Z     x = encode(x)
2025-08-26T20:24:22.5128873Z 
2025-08-26T20:24:22.5128988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5129391Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5129739Z     x = encode(x)
2025-08-26T20:24:22.5129840Z 
2025-08-26T20:24:22.5129961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5130357Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5130870Z     x = encode(x)
2025-08-26T20:24:22.5130982Z 
2025-08-26T20:24:22.5131098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5131508Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5131868Z     x = encode(x)
2025-08-26T20:24:22.5131971Z 
2025-08-26T20:24:22.5132086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5132902Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5133282Z     x = encode(x)
2025-08-26T20:24:22.5133386Z 
2025-08-26T20:24:22.5133512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5133900Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5134252Z     x = encode(x)
2025-08-26T20:24:22.5134362Z 
2025-08-26T20:24:22.5134475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5134877Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5135236Z     x = encode(x)
2025-08-26T20:24:22.5135337Z 
2025-08-26T20:24:22.5135460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5135824Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5136172Z     x = encode(x)
2025-08-26T20:24:22.5136273Z 
2025-08-26T20:24:22.5136392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5136753Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5137066Z     x = encode(x)
2025-08-26T20:24:22.5137171Z 
2025-08-26T20:24:22.5137280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5137638Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5137956Z     x = encode(x)
2025-08-26T20:24:22.5138054Z 
2025-08-26T20:24:22.5138163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5138572Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5138898Z     x = encode(x)
2025-08-26T20:24:22.5138996Z 
2025-08-26T20:24:22.5139115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5139488Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5139799Z     x = encode(x)
2025-08-26T20:24:22.5139902Z 
2025-08-26T20:24:22.5140011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:22.5140369Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-26T20:24:22.5140685Z     x = encode(x)
2025-08-26T20:24:22.5140782Z 
2025-08-26T20:24:24.8331070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8331636Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8332139Z     x = x + skip
2025-08-26T20:24:24.8332276Z 
2025-08-26T20:24:24.8332615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8333114Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8333530Z     x = decode(x)
2025-08-26T20:24:24.8333652Z 
2025-08-26T20:24:24.8333786Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8334242Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8334649Z     x = decode(x)
2025-08-26T20:24:24.8334765Z 
2025-08-26T20:24:24.8334882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8335332Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8335728Z     x = decode(x)
2025-08-26T20:24:24.8335833Z 
2025-08-26T20:24:24.8335957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8336404Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8336793Z     x = x + skip
2025-08-26T20:24:24.8336906Z 
2025-08-26T20:24:24.8337021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8337849Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8338268Z     x = decode(x)
2025-08-26T20:24:24.8338372Z 
2025-08-26T20:24:24.8338490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8338935Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8339343Z     x = decode(x)
2025-08-26T20:24:24.8339447Z 
2025-08-26T20:24:24.8339575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8340017Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8340412Z     x = decode(x)
2025-08-26T20:24:24.8340524Z 
2025-08-26T20:24:24.8340640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8341085Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8341497Z     x = x + skip
2025-08-26T20:24:24.8341602Z 
2025-08-26T20:24:24.8341723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8342156Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8342555Z     x = decode(x)
2025-08-26T20:24:24.8342656Z 
2025-08-26T20:24:24.8342775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8343217Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8343725Z     x = decode(x)
2025-08-26T20:24:24.8343834Z 
2025-08-26T20:24:24.8343947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8344412Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8344812Z     x = decode(x)
2025-08-26T20:24:24.8344913Z 
2025-08-26T20:24:24.8345036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8345483Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8345882Z     x = x + skip
2025-08-26T20:24:24.8345993Z 
2025-08-26T20:24:24.8346107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8346549Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8346950Z     x = decode(x)
2025-08-26T20:24:24.8347050Z 
2025-08-26T20:24:24.8347169Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8347614Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8348016Z     x = decode(x)
2025-08-26T20:24:24.8348118Z 
2025-08-26T20:24:24.8348240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8348688Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8349087Z     x = decode(x)
2025-08-26T20:24:24.8349197Z 
2025-08-26T20:24:24.8349311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8349762Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8350171Z     x = x + skip
2025-08-26T20:24:24.8350272Z 
2025-08-26T20:24:24.8350392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8350831Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8351239Z     x = decode(x)
2025-08-26T20:24:24.8351346Z 
2025-08-26T20:24:24.8351459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8351899Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8352379Z     x = decode(x)
2025-08-26T20:24:24.8352494Z 
2025-08-26T20:24:24.8352607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8353113Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8353524Z     x = decode(x)
2025-08-26T20:24:24.8353624Z 
2025-08-26T20:24:24.8353744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8354176Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8354586Z     x = x + skip
2025-08-26T20:24:24.8354696Z 
2025-08-26T20:24:24.8354809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8355251Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8355655Z     x = decode(x)
2025-08-26T20:24:24.8355756Z 
2025-08-26T20:24:24.8355872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8356311Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8356714Z     x = decode(x)
2025-08-26T20:24:24.8356814Z 
2025-08-26T20:24:24.8356931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:24.8357391Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-26T20:24:24.8357785Z     x = decode(x)
2025-08-26T20:24:24.8357896Z 
2025-08-26T20:24:26.9902372Z Compilation time (from dynamo_timed): 12.980319328
2025-08-26T20:24:26.9915053Z pass
2025-08-26T20:24:26.9919323Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:26.9920275Z TIMING: gc:0.00397 entire_frame_compile:12.98032 _recursive_pre_grad_passes:0.00531 _recursive_joint_graph_passes:0.34287 _recursive_post_grad_passes:0.02392 async_compile.wait:1.97271 code_gen:9.67261 inductor_compile:9.95453 backend_compile:11.31266 total_wall_time:12.98032
2025-08-26T20:24:26.9921392Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2040 | ProxyTorchDispatchMode.__torch_dispatch__:595 | FakeTensor.__torch_dispatch__:383
2025-08-26T20:24:26.9921958Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-08-26T20:24:31.1974310Z 
2025-08-26T20:24:31.4474489Z 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
2025-08-26T20:24:31.4614635Z 
2025-08-26T20:24:31.4618155Z 
2025-08-26T20:24:31.5318894Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-08-26T20:24:31.5319225Z 100% 30.8M/30.8M [00:00<00:00, 462MB/s]
2025-08-26T20:24:31.9201237Z 
2025-08-26T20:24:31.9202154Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:24:31.9229856Z cpu  eval  densenet121                        
2025-08-26T20:24:32.5045852Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:32.6633692Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:32.8173454Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:24:52.2264331Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2270205Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2272183Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2272540Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2272906Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2273221Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2273560Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2273869Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2274302Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2274925Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2275226Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2275463Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2278991Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2283759Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2287767Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2288357Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2288656Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2288912Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2289159Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2289413Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2289796Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2290030Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2290265Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2290494Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2290730Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2290963Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2291201Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2291427Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2291666Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2291899Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2292136Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2292529Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2292784Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2293019Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2293586Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2293821Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2294061Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2294295Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2294533Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2294768Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2295009Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2295271Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2295537Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2295769Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2296005Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2296236Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2296470Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2296693Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2296929Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2297162Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2297393Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2297616Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2297846Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2298076Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2298310Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2298544Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2298769Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2299000Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2299231Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2299479Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2299755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2300212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2300592Z     return mod(*inputs)
2025-08-26T20:24:52.2301003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2301413Z     features = self.features(x)
2025-08-26T20:24:52.2301566Z 
2025-08-26T20:24:52.2301689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2302988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2303377Z     return mod(*inputs)
2025-08-26T20:24:52.2303763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2304164Z     features = self.features(x)
2025-08-26T20:24:52.2304309Z 
2025-08-26T20:24:52.2304430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2304842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2305215Z     return mod(*inputs)
2025-08-26T20:24:52.2305580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2305986Z     features = self.features(x)
2025-08-26T20:24:52.2306125Z 
2025-08-26T20:24:52.2306241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2306825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2307213Z     return mod(*inputs)
2025-08-26T20:24:52.2307583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2307978Z     features = self.features(x)
2025-08-26T20:24:52.2308361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2308764Z     new_features = layer(features)
2025-08-26T20:24:52.2309154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2309677Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2310113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2310626Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2310882Z 
2025-08-26T20:24:52.2311013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2311410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2311774Z     return mod(*inputs)
2025-08-26T20:24:52.2312139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2312540Z     features = self.features(x)
2025-08-26T20:24:52.2312916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2313312Z     new_features = layer(features)
2025-08-26T20:24:52.2313708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2314177Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2314397Z 
2025-08-26T20:24:52.2314522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2314917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2315275Z     return mod(*inputs)
2025-08-26T20:24:52.2315639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2316039Z     features = self.features(x)
2025-08-26T20:24:52.2316411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2316802Z     new_features = layer(features)
2025-08-26T20:24:52.2317188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2317654Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2317870Z 
2025-08-26T20:24:52.2317996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2318396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2318805Z     return mod(*inputs)
2025-08-26T20:24:52.2319171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2319557Z     features = self.features(x)
2025-08-26T20:24:52.2319930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2320314Z     new_features = layer(features)
2025-08-26T20:24:52.2320695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2321124Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2321560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2321982Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2322142Z 
2025-08-26T20:24:52.2322263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2322663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2323023Z     return mod(*inputs)
2025-08-26T20:24:52.2323382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2323763Z     features = self.features(x)
2025-08-26T20:24:52.2324143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2324531Z     new_features = layer(features)
2025-08-26T20:24:52.2324912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2325382Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2325807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2326320Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2326574Z 
2025-08-26T20:24:52.2326689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2327087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2327447Z     return mod(*inputs)
2025-08-26T20:24:52.2327799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2328212Z     features = self.features(x)
2025-08-26T20:24:52.2328586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2328974Z     new_features = layer(features)
2025-08-26T20:24:52.2329361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2329783Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2330218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2330722Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2330969Z 
2025-08-26T20:24:52.2331085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2331486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2331844Z     return mod(*inputs)
2025-08-26T20:24:52.2332203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2332698Z     features = self.features(x)
2025-08-26T20:24:52.2333071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2333465Z     new_features = layer(features)
2025-08-26T20:24:52.2333890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2334354Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2334567Z 
2025-08-26T20:24:52.2334685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2335089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2335448Z     return mod(*inputs)
2025-08-26T20:24:52.2335808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2336201Z     features = self.features(x)
2025-08-26T20:24:52.2336570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2336972Z     new_features = layer(features)
2025-08-26T20:24:52.2337350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2337810Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2338028Z 
2025-08-26T20:24:52.2338152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2338539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2338900Z     return mod(*inputs)
2025-08-26T20:24:52.2339260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2339668Z     features = self.features(x)
2025-08-26T20:24:52.2340039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2340503Z     new_features = layer(features)
2025-08-26T20:24:52.2340882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2341318Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2341753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2342180Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2342347Z 
2025-08-26T20:24:52.2342463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2342869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2343236Z     return mod(*inputs)
2025-08-26T20:24:52.2343604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2344003Z     features = self.features(x)
2025-08-26T20:24:52.2344382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2344784Z     new_features = layer(features)
2025-08-26T20:24:52.2345176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2345603Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2346038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2346549Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2346806Z 
2025-08-26T20:24:52.2346929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2347347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2347708Z     return mod(*inputs)
2025-08-26T20:24:52.2348075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2348477Z     features = self.features(x)
2025-08-26T20:24:52.2348856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2349280Z     new_features = layer(features)
2025-08-26T20:24:52.2349669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2350087Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2350517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2351020Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2351262Z 
2025-08-26T20:24:52.2351377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2351785Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2352141Z     return mod(*inputs)
2025-08-26T20:24:52.2352496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2352893Z     features = self.features(x)
2025-08-26T20:24:52.2353260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2353656Z     new_features = layer(features)
2025-08-26T20:24:52.2354035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2354489Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2354701Z 
2025-08-26T20:24:52.2354817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2355211Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2355608Z     return mod(*inputs)
2025-08-26T20:24:52.2355966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2356369Z     features = self.features(x)
2025-08-26T20:24:52.2356735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2357131Z     new_features = layer(features)
2025-08-26T20:24:52.2357510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2357966Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2358177Z 
2025-08-26T20:24:52.2358303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2358697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2359065Z     return mod(*inputs)
2025-08-26T20:24:52.2359432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2359822Z     features = self.features(x)
2025-08-26T20:24:52.2360189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2360582Z     new_features = layer(features)
2025-08-26T20:24:52.2360964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2361389Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2361818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2362227Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2362393Z 
2025-08-26T20:24:52.2362510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2362911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2363278Z     return mod(*inputs)
2025-08-26T20:24:52.2363633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2364021Z     features = self.features(x)
2025-08-26T20:24:52.2364444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2364831Z     new_features = layer(features)
2025-08-26T20:24:52.2365211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2365628Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2366058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2366559Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2366817Z 
2025-08-26T20:24:52.2366943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2367340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2367696Z     return mod(*inputs)
2025-08-26T20:24:52.2368062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2368457Z     features = self.features(x)
2025-08-26T20:24:52.2368831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2369219Z     new_features = layer(features)
2025-08-26T20:24:52.2369604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2370026Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2370458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2370998Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2371248Z 
2025-08-26T20:24:52.2371365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2371772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2372134Z     return mod(*inputs)
2025-08-26T20:24:52.2372590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2373004Z     features = self.features(x)
2025-08-26T20:24:52.2373378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2373773Z     new_features = layer(features)
2025-08-26T20:24:52.2374161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2374634Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2374849Z 
2025-08-26T20:24:52.2374975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2375372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2375737Z     return mod(*inputs)
2025-08-26T20:24:52.2376104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2376499Z     features = self.features(x)
2025-08-26T20:24:52.2376868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2377268Z     new_features = layer(features)
2025-08-26T20:24:52.2377655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2378115Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2378332Z 
2025-08-26T20:24:52.2378457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2378850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2379220Z     return mod(*inputs)
2025-08-26T20:24:52.2379622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2380020Z     features = self.features(x)
2025-08-26T20:24:52.2380392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2380790Z     new_features = layer(features)
2025-08-26T20:24:52.2381176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2381602Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2382033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2382450Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2382619Z 
2025-08-26T20:24:52.2382736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2383133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2383497Z     return mod(*inputs)
2025-08-26T20:24:52.2383852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2384245Z     features = self.features(x)
2025-08-26T20:24:52.2384622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2385020Z     new_features = layer(features)
2025-08-26T20:24:52.2385406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2385828Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2386293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2386806Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2387053Z 
2025-08-26T20:24:52.2387180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2387580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2387928Z     return mod(*inputs)
2025-08-26T20:24:52.2388289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2388678Z     features = self.features(x)
2025-08-26T20:24:52.2389053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2389436Z     new_features = layer(features)
2025-08-26T20:24:52.2389822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2390246Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2390682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2391194Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2391439Z 
2025-08-26T20:24:52.2391554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2391956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2392317Z     return mod(*inputs)
2025-08-26T20:24:52.2392678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2393070Z     features = self.features(x)
2025-08-26T20:24:52.2393442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2393841Z     new_features = layer(features)
2025-08-26T20:24:52.2394246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2394704Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2394957Z 
2025-08-26T20:24:52.2395077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2395481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2395838Z     return mod(*inputs)
2025-08-26T20:24:52.2396205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2396596Z     features = self.features(x)
2025-08-26T20:24:52.2396963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2397361Z     new_features = layer(features)
2025-08-26T20:24:52.2397746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2398202Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2398410Z 
2025-08-26T20:24:52.2398527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2398927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2399318Z     return mod(*inputs)
2025-08-26T20:24:52.2399676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2400083Z     features = self.features(x)
2025-08-26T20:24:52.2400449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2400838Z     new_features = layer(features)
2025-08-26T20:24:52.2401275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2401696Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2402119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2402538Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2402701Z 
2025-08-26T20:24:52.2402815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2403245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2403623Z     return mod(*inputs)
2025-08-26T20:24:52.2403988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2404387Z     features = self.features(x)
2025-08-26T20:24:52.2404773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2405182Z     new_features = layer(features)
2025-08-26T20:24:52.2405554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2406008Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2406461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2407234Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2407488Z 
2025-08-26T20:24:52.2407615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2408045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2408432Z     return mod(*inputs)
2025-08-26T20:24:52.2408808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2409225Z     features = self.features(x)
2025-08-26T20:24:52.2409620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2410026Z     new_features = layer(features)
2025-08-26T20:24:52.2410486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2410924Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2411365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2411875Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2412131Z 
2025-08-26T20:24:52.2412246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2412715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2413095Z     return mod(*inputs)
2025-08-26T20:24:52.2413461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2413857Z     features = self.features(x)
2025-08-26T20:24:52.2414249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2414652Z     new_features = layer(features)
2025-08-26T20:24:52.2415041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2415506Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2415721Z 
2025-08-26T20:24:52.2415836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2416238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2416598Z     return mod(*inputs)
2025-08-26T20:24:52.2416964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2417417Z     features = self.features(x)
2025-08-26T20:24:52.2417801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2418183Z     new_features = layer(features)
2025-08-26T20:24:52.2418553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2418973Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2419168Z 
2025-08-26T20:24:52.2419259Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2419506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2419869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2420194Z     return mod(*inputs)
2025-08-26T20:24:52.2420531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2420895Z     features = self.features(x)
2025-08-26T20:24:52.2421235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:24:52.2421599Z     return torch.cat(features, 1)
2025-08-26T20:24:52.2421730Z 
2025-08-26T20:24:52.2421846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2422203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2422532Z     return mod(*inputs)
2025-08-26T20:24:52.2422862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2423231Z     features = self.features(x)
2025-08-26T20:24:52.2423358Z 
2025-08-26T20:24:52.2423478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2423865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2424217Z     return mod(*inputs)
2025-08-26T20:24:52.2424568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2424949Z     features = self.features(x)
2025-08-26T20:24:52.2425074Z 
2025-08-26T20:24:52.2425223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2425638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2425994Z     return mod(*inputs)
2025-08-26T20:24:52.2426356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2426735Z     features = self.features(x)
2025-08-26T20:24:52.2427094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2427484Z     new_features = layer(features)
2025-08-26T20:24:52.2427855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2428285Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2428706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2429205Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2429449Z 
2025-08-26T20:24:52.2429560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2429934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2430294Z     return mod(*inputs)
2025-08-26T20:24:52.2430637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2431020Z     features = self.features(x)
2025-08-26T20:24:52.2431391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2431813Z     new_features = layer(features)
2025-08-26T20:24:52.2432178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2432598Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2432804Z 
2025-08-26T20:24:52.2432911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2433283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2433633Z     return mod(*inputs)
2025-08-26T20:24:52.2433975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2434358Z     features = self.features(x)
2025-08-26T20:24:52.2434724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2435111Z     new_features = layer(features)
2025-08-26T20:24:52.2435487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2435923Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2436133Z 
2025-08-26T20:24:52.2436250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2436643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2436987Z     return mod(*inputs)
2025-08-26T20:24:52.2437333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2437713Z     features = self.features(x)
2025-08-26T20:24:52.2438074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2438456Z     new_features = layer(features)
2025-08-26T20:24:52.2438831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2439236Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2439657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2440104Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2440261Z 
2025-08-26T20:24:52.2440384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2440777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2441122Z     return mod(*inputs)
2025-08-26T20:24:52.2441485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2441869Z     features = self.features(x)
2025-08-26T20:24:52.2442237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2442626Z     new_features = layer(features)
2025-08-26T20:24:52.2443007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2443422Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2443853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2444361Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2444603Z 
2025-08-26T20:24:52.2444716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2445126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2445490Z     return mod(*inputs)
2025-08-26T20:24:52.2445846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2446255Z     features = self.features(x)
2025-08-26T20:24:52.2446621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2447000Z     new_features = layer(features)
2025-08-26T20:24:52.2447376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2447790Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2448217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2448720Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2448964Z 
2025-08-26T20:24:52.2449077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2449466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2449838Z     return mod(*inputs)
2025-08-26T20:24:52.2450195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2450589Z     features = self.features(x)
2025-08-26T20:24:52.2450964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2451361Z     new_features = layer(features)
2025-08-26T20:24:52.2451741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2452210Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2452529Z 
2025-08-26T20:24:52.2452662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2453069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2453448Z     return mod(*inputs)
2025-08-26T20:24:52.2453820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2454215Z     features = self.features(x)
2025-08-26T20:24:52.2454593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2454982Z     new_features = layer(features)
2025-08-26T20:24:52.2455422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2455880Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2456097Z 
2025-08-26T20:24:52.2456212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2456610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2456967Z     return mod(*inputs)
2025-08-26T20:24:52.2457317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2457712Z     features = self.features(x)
2025-08-26T20:24:52.2458087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2458480Z     new_features = layer(features)
2025-08-26T20:24:52.2458866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2459284Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2459716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2460134Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2460290Z 
2025-08-26T20:24:52.2460413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2460806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2461382Z     return mod(*inputs)
2025-08-26T20:24:52.2461799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2462196Z     features = self.features(x)
2025-08-26T20:24:52.2462572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2462959Z     new_features = layer(features)
2025-08-26T20:24:52.2463343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2463766Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2464194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2464694Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2464948Z 
2025-08-26T20:24:52.2465063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2465474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2465802Z     return mod(*inputs)
2025-08-26T20:24:52.2466133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2466484Z     features = self.features(x)
2025-08-26T20:24:52.2466826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2467181Z     new_features = layer(features)
2025-08-26T20:24:52.2467531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2467917Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2468305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2468771Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2469007Z 
2025-08-26T20:24:52.2469116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2469482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2469809Z     return mod(*inputs)
2025-08-26T20:24:52.2470180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2470552Z     features = self.features(x)
2025-08-26T20:24:52.2470903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2471265Z     new_features = layer(features)
2025-08-26T20:24:52.2471610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2472031Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2472240Z 
2025-08-26T20:24:52.2472348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2472713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2473051Z     return mod(*inputs)
2025-08-26T20:24:52.2473375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2473736Z     features = self.features(x)
2025-08-26T20:24:52.2474080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2474436Z     new_features = layer(features)
2025-08-26T20:24:52.2474778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2475195Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2475397Z 
2025-08-26T20:24:52.2475502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2475911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2476240Z     return mod(*inputs)
2025-08-26T20:24:52.2476567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2476926Z     features = self.features(x)
2025-08-26T20:24:52.2477274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2477632Z     new_features = layer(features)
2025-08-26T20:24:52.2477976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2478368Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2478765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2479152Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2479298Z 
2025-08-26T20:24:52.2479416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2479781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2480117Z     return mod(*inputs)
2025-08-26T20:24:52.2480456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2480821Z     features = self.features(x)
2025-08-26T20:24:52.2481177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2481537Z     new_features = layer(features)
2025-08-26T20:24:52.2481890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2482282Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2482677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2483138Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2483372Z 
2025-08-26T20:24:52.2483480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2483914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2484279Z     return mod(*inputs)
2025-08-26T20:24:52.2484631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2485008Z     features = self.features(x)
2025-08-26T20:24:52.2485374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2485756Z     new_features = layer(features)
2025-08-26T20:24:52.2486131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2486554Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2486980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2487473Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2487721Z 
2025-08-26T20:24:52.2487837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2488237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2488587Z     return mod(*inputs)
2025-08-26T20:24:52.2488937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2489316Z     features = self.features(x)
2025-08-26T20:24:52.2489678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2490063Z     new_features = layer(features)
2025-08-26T20:24:52.2490467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2490924Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2491139Z 
2025-08-26T20:24:52.2491252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2491658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2492018Z     return mod(*inputs)
2025-08-26T20:24:52.2492446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2492858Z     features = self.features(x)
2025-08-26T20:24:52.2493236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2493631Z     new_features = layer(features)
2025-08-26T20:24:52.2494014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2494472Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2494686Z 
2025-08-26T20:24:52.2494801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2495194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2495542Z     return mod(*inputs)
2025-08-26T20:24:52.2495887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2496269Z     features = self.features(x)
2025-08-26T20:24:52.2496635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2497025Z     new_features = layer(features)
2025-08-26T20:24:52.2497395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2497813Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2498235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2498655Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2498806Z 
2025-08-26T20:24:52.2498975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2499354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2499702Z     return mod(*inputs)
2025-08-26T20:24:52.2500049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2500430Z     features = self.features(x)
2025-08-26T20:24:52.2500782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2501161Z     new_features = layer(features)
2025-08-26T20:24:52.2501537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2501946Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2502367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2502855Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2503105Z 
2025-08-26T20:24:52.2503217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2503602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2503949Z     return mod(*inputs)
2025-08-26T20:24:52.2504301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2504675Z     features = self.features(x)
2025-08-26T20:24:52.2505036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2505459Z     new_features = layer(features)
2025-08-26T20:24:52.2505841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2506243Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2506846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2507350Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2507590Z 
2025-08-26T20:24:52.2507715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2508104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2508431Z     return mod(*inputs)
2025-08-26T20:24:52.2508765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2509131Z     features = self.features(x)
2025-08-26T20:24:52.2509475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2509838Z     new_features = layer(features)
2025-08-26T20:24:52.2510187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2510610Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2510811Z 
2025-08-26T20:24:52.2510918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2511279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2511604Z     return mod(*inputs)
2025-08-26T20:24:52.2511935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2512299Z     features = self.features(x)
2025-08-26T20:24:52.2512639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2512996Z     new_features = layer(features)
2025-08-26T20:24:52.2513343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2513864Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2514070Z 
2025-08-26T20:24:52.2514178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2514548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2514877Z     return mod(*inputs)
2025-08-26T20:24:52.2515216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2515583Z     features = self.features(x)
2025-08-26T20:24:52.2515930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2516301Z     new_features = layer(features)
2025-08-26T20:24:52.2516650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2517046Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2517453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2517842Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2517987Z 
2025-08-26T20:24:52.2518101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2518460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2518792Z     return mod(*inputs)
2025-08-26T20:24:52.2519123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2519542Z     features = self.features(x)
2025-08-26T20:24:52.2519878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2520239Z     new_features = layer(features)
2025-08-26T20:24:52.2520596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2520988Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2521381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2521835Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2522067Z 
2025-08-26T20:24:52.2522174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2522538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2522871Z     return mod(*inputs)
2025-08-26T20:24:52.2523195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2523565Z     features = self.features(x)
2025-08-26T20:24:52.2523910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2524271Z     new_features = layer(features)
2025-08-26T20:24:52.2524623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2525002Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2525394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2525857Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2526089Z 
2025-08-26T20:24:52.2526210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2526603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2526946Z     return mod(*inputs)
2025-08-26T20:24:52.2527291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2527719Z     features = self.features(x)
2025-08-26T20:24:52.2528088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2528465Z     new_features = layer(features)
2025-08-26T20:24:52.2528848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2529406Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2529611Z 
2025-08-26T20:24:52.2529732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2530119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2530467Z     return mod(*inputs)
2025-08-26T20:24:52.2530818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2531200Z     features = self.features(x)
2025-08-26T20:24:52.2531575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2531946Z     new_features = layer(features)
2025-08-26T20:24:52.2532323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2532842Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2533058Z 
2025-08-26T20:24:52.2533185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2533580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2534044Z     return mod(*inputs)
2025-08-26T20:24:52.2534412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2534790Z     features = self.features(x)
2025-08-26T20:24:52.2535154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2535534Z     new_features = layer(features)
2025-08-26T20:24:52.2535899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2536313Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2536734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2537140Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2537292Z 
2025-08-26T20:24:52.2537405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2537796Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2538147Z     return mod(*inputs)
2025-08-26T20:24:52.2538498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2538878Z     features = self.features(x)
2025-08-26T20:24:52.2539245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2539638Z     new_features = layer(features)
2025-08-26T20:24:52.2540022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2540429Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2540838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2541328Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2541579Z 
2025-08-26T20:24:52.2541694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2542080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2542424Z     return mod(*inputs)
2025-08-26T20:24:52.2542801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2543182Z     features = self.features(x)
2025-08-26T20:24:52.2543544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2543925Z     new_features = layer(features)
2025-08-26T20:24:52.2544295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2544698Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2545118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2545613Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2545849Z 
2025-08-26T20:24:52.2545972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2546364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2546722Z     return mod(*inputs)
2025-08-26T20:24:52.2547071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2547451Z     features = self.features(x)
2025-08-26T20:24:52.2547812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2548183Z     new_features = layer(features)
2025-08-26T20:24:52.2548556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2549052Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2549265Z 
2025-08-26T20:24:52.2549389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2549803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2550162Z     return mod(*inputs)
2025-08-26T20:24:52.2550532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2550902Z     features = self.features(x)
2025-08-26T20:24:52.2551256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2551616Z     new_features = layer(features)
2025-08-26T20:24:52.2551979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2552410Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2552610Z 
2025-08-26T20:24:52.2552728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2553099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2553435Z     return mod(*inputs)
2025-08-26T20:24:52.2553781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2554153Z     features = self.features(x)
2025-08-26T20:24:52.2554506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2554866Z     new_features = layer(features)
2025-08-26T20:24:52.2555231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2555634Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2556040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2556438Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2556588Z 
2025-08-26T20:24:52.2556699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2557069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2557452Z     return mod(*inputs)
2025-08-26T20:24:52.2557783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2558139Z     features = self.features(x)
2025-08-26T20:24:52.2558475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2558832Z     new_features = layer(features)
2025-08-26T20:24:52.2559181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2559568Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2559954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2560413Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2560646Z 
2025-08-26T20:24:52.2560757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2561120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2561468Z     return mod(*inputs)
2025-08-26T20:24:52.2561808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2562187Z     features = self.features(x)
2025-08-26T20:24:52.2562552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2562933Z     new_features = layer(features)
2025-08-26T20:24:52.2563391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2563775Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2564167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2564629Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2564854Z 
2025-08-26T20:24:52.2564968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2565326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2565670Z     return mod(*inputs)
2025-08-26T20:24:52.2566020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2566405Z     features = self.features(x)
2025-08-26T20:24:52.2566776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2567151Z     new_features = layer(features)
2025-08-26T20:24:52.2567521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2567963Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2568165Z 
2025-08-26T20:24:52.2568286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2568681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2569040Z     return mod(*inputs)
2025-08-26T20:24:52.2569385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2569760Z     features = self.features(x)
2025-08-26T20:24:52.2570121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2570498Z     new_features = layer(features)
2025-08-26T20:24:52.2570870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2571317Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2571517Z 
2025-08-26T20:24:52.2572167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2572682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2573053Z     return mod(*inputs)
2025-08-26T20:24:52.2573419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2573815Z     features = self.features(x)
2025-08-26T20:24:52.2574195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2574570Z     new_features = layer(features)
2025-08-26T20:24:52.2574953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2575369Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2575792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2576211Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2576364Z 
2025-08-26T20:24:52.2576477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2576879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2577224Z     return mod(*inputs)
2025-08-26T20:24:52.2577575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2577953Z     features = self.features(x)
2025-08-26T20:24:52.2578311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2578734Z     new_features = layer(features)
2025-08-26T20:24:52.2579110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2579524Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2579941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2580439Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2580690Z 
2025-08-26T20:24:52.2580803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2581193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2581549Z     return mod(*inputs)
2025-08-26T20:24:52.2581892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2582281Z     features = self.features(x)
2025-08-26T20:24:52.2582646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2583028Z     new_features = layer(features)
2025-08-26T20:24:52.2583401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2583818Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2584240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2584736Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2584978Z 
2025-08-26T20:24:52.2585098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2585480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2585839Z     return mod(*inputs)
2025-08-26T20:24:52.2586190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2586571Z     features = self.features(x)
2025-08-26T20:24:52.2586974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2587351Z     new_features = layer(features)
2025-08-26T20:24:52.2587724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2588171Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2588376Z 
2025-08-26T20:24:52.2588499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2588875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2589223Z     return mod(*inputs)
2025-08-26T20:24:52.2589576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2589953Z     features = self.features(x)
2025-08-26T20:24:52.2590319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2590693Z     new_features = layer(features)
2025-08-26T20:24:52.2591072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2591517Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2591724Z 
2025-08-26T20:24:52.2591845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2592236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2592578Z     return mod(*inputs)
2025-08-26T20:24:52.2592933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2593352Z     features = self.features(x)
2025-08-26T20:24:52.2593717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2594091Z     new_features = layer(features)
2025-08-26T20:24:52.2594471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2594884Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2595306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2595714Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2595866Z 
2025-08-26T20:24:52.2595978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2596369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2596726Z     return mod(*inputs)
2025-08-26T20:24:52.2597076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2597446Z     features = self.features(x)
2025-08-26T20:24:52.2597810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2598194Z     new_features = layer(features)
2025-08-26T20:24:52.2598570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2598984Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2599397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2599889Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2600137Z 
2025-08-26T20:24:52.2600249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2600643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2600994Z     return mod(*inputs)
2025-08-26T20:24:52.2601336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2601700Z     features = self.features(x)
2025-08-26T20:24:52.2602081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2602443Z     new_features = layer(features)
2025-08-26T20:24:52.2602788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2603183Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2603577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2604041Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2604271Z 
2025-08-26T20:24:52.2604384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2604745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2605075Z     return mod(*inputs)
2025-08-26T20:24:52.2605409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2605771Z     features = self.features(x)
2025-08-26T20:24:52.2606110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2606469Z     new_features = layer(features)
2025-08-26T20:24:52.2606961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2607389Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2607661Z 
2025-08-26T20:24:52.2607775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2608139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2608471Z     return mod(*inputs)
2025-08-26T20:24:52.2608807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2609168Z     features = self.features(x)
2025-08-26T20:24:52.2609517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2609877Z     new_features = layer(features)
2025-08-26T20:24:52.2610235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2610678Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2610884Z 
2025-08-26T20:24:52.2611006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2611410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2611758Z     return mod(*inputs)
2025-08-26T20:24:52.2612106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2612568Z     features = self.features(x)
2025-08-26T20:24:52.2612946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2613325Z     new_features = layer(features)
2025-08-26T20:24:52.2613707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2614132Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2614527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2614902Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2615056Z 
2025-08-26T20:24:52.2615165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2615527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2615859Z     return mod(*inputs)
2025-08-26T20:24:52.2616247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2616612Z     features = self.features(x)
2025-08-26T20:24:52.2616989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2617374Z     new_features = layer(features)
2025-08-26T20:24:52.2617731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2618157Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2618576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2619078Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2619327Z 
2025-08-26T20:24:52.2619441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2619834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2620180Z     return mod(*inputs)
2025-08-26T20:24:52.2620534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2620918Z     features = self.features(x)
2025-08-26T20:24:52.2621281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2621670Z     new_features = layer(features)
2025-08-26T20:24:52.2622037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2622497Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2622911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2623405Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2623646Z 
2025-08-26T20:24:52.2623768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2624149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2624494Z     return mod(*inputs)
2025-08-26T20:24:52.2624840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2625224Z     features = self.features(x)
2025-08-26T20:24:52.2625577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2625961Z     new_features = layer(features)
2025-08-26T20:24:52.2626331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2626776Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2626981Z 
2025-08-26T20:24:52.2627098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2627475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2627821Z     return mod(*inputs)
2025-08-26T20:24:52.2628169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2628553Z     features = self.features(x)
2025-08-26T20:24:52.2628907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2629290Z     new_features = layer(features)
2025-08-26T20:24:52.2629661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2630105Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2630308Z 
2025-08-26T20:24:52.2630427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2630838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2631186Z     return mod(*inputs)
2025-08-26T20:24:52.2631537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2631916Z     features = self.features(x)
2025-08-26T20:24:52.2632258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2632612Z     new_features = layer(features)
2025-08-26T20:24:52.2632966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2633358Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2633756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2634131Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2634288Z 
2025-08-26T20:24:52.2634404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2634791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2635135Z     return mod(*inputs)
2025-08-26T20:24:52.2635467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2635820Z     features = self.features(x)
2025-08-26T20:24:52.2636166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2636527Z     new_features = layer(features)
2025-08-26T20:24:52.2636918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2637305Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2637704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2638173Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2638403Z 
2025-08-26T20:24:52.2638521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2638891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2639217Z     return mod(*inputs)
2025-08-26T20:24:52.2639550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2639915Z     features = self.features(x)
2025-08-26T20:24:52.2640266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2640634Z     new_features = layer(features)
2025-08-26T20:24:52.2640984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2641378Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2641778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2642253Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2642481Z 
2025-08-26T20:24:52.2642599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2642961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2643297Z     return mod(*inputs)
2025-08-26T20:24:52.2643635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2644003Z     features = self.features(x)
2025-08-26T20:24:52.2644342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2644708Z     new_features = layer(features)
2025-08-26T20:24:52.2645102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2645523Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2645714Z 
2025-08-26T20:24:52.2645826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2646184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2646509Z     return mod(*inputs)
2025-08-26T20:24:52.2646835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2647200Z     features = self.features(x)
2025-08-26T20:24:52.2647538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2647897Z     new_features = layer(features)
2025-08-26T20:24:52.2648252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2648698Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2648901Z 
2025-08-26T20:24:52.2649001Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2649232Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2649464Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2649702Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2649917Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2650124Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2650373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2650792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2651143Z     return mod(*inputs)
2025-08-26T20:24:52.2651491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2651879Z     features = self.features(x)
2025-08-26T20:24:52.2652248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:24:52.2652719Z     return torch.cat(features, 1)
2025-08-26T20:24:52.2652862Z 
2025-08-26T20:24:52.2652985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2653383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2653736Z     return mod(*inputs)
2025-08-26T20:24:52.2654096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2654488Z     features = self.features(x)
2025-08-26T20:24:52.2654616Z 
2025-08-26T20:24:52.2654730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2655123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2655481Z     return mod(*inputs)
2025-08-26T20:24:52.2655837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2656229Z     features = self.features(x)
2025-08-26T20:24:52.2656356Z 
2025-08-26T20:24:52.2656468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2656862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2657214Z     return mod(*inputs)
2025-08-26T20:24:52.2657565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2657941Z     features = self.features(x)
2025-08-26T20:24:52.2658321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2658704Z     new_features = layer(features)
2025-08-26T20:24:52.2659082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2659538Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2659957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2660448Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2660695Z 
2025-08-26T20:24:52.2660808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2661193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2661539Z     return mod(*inputs)
2025-08-26T20:24:52.2661880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2662258Z     features = self.features(x)
2025-08-26T20:24:52.2662617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2663001Z     new_features = layer(features)
2025-08-26T20:24:52.2663368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2663808Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2664019Z 
2025-08-26T20:24:52.2664131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2664516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2664861Z     return mod(*inputs)
2025-08-26T20:24:52.2665201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2665614Z     features = self.features(x)
2025-08-26T20:24:52.2665977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2666361Z     new_features = layer(features)
2025-08-26T20:24:52.2666727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2667166Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2667375Z 
2025-08-26T20:24:52.2667487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2667872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2668218Z     return mod(*inputs)
2025-08-26T20:24:52.2668557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2668939Z     features = self.features(x)
2025-08-26T20:24:52.2669303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2669379Z     new_features = layer(features)
2025-08-26T20:24:52.2669608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2669718Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2669954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2670045Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2670049Z 
2025-08-26T20:24:52.2670171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2670380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2670448Z     return mod(*inputs)
2025-08-26T20:24:52.2670675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2670753Z     features = self.features(x)
2025-08-26T20:24:52.2670973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2671056Z     new_features = layer(features)
2025-08-26T20:24:52.2671316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2671432Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2671660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2671837Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2671841Z 
2025-08-26T20:24:52.2671948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2672145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2672227Z     return mod(*inputs)
2025-08-26T20:24:52.2672444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2672530Z     features = self.features(x)
2025-08-26T20:24:52.2672751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2672827Z     new_features = layer(features)
2025-08-26T20:24:52.2673052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2673157Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2673391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2673558Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2673589Z 
2025-08-26T20:24:52.2673705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2673906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2673978Z     return mod(*inputs)
2025-08-26T20:24:52.2674210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2674285Z     features = self.features(x)
2025-08-26T20:24:52.2674514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2674590Z     new_features = layer(features)
2025-08-26T20:24:52.2674809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2674953Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2674956Z 
2025-08-26T20:24:52.2675063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2675271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2675339Z     return mod(*inputs)
2025-08-26T20:24:52.2675563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2675644Z     features = self.features(x)
2025-08-26T20:24:52.2675868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2675952Z     new_features = layer(features)
2025-08-26T20:24:52.2676168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2676310Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2676313Z 
2025-08-26T20:24:52.2676419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2676615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2676695Z     return mod(*inputs)
2025-08-26T20:24:52.2676915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2676995Z     features = self.features(x)
2025-08-26T20:24:52.2677245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2677323Z     new_features = layer(features)
2025-08-26T20:24:52.2677546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2677653Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2677886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2677976Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2677980Z 
2025-08-26T20:24:52.2678096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2678291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2678359Z     return mod(*inputs)
2025-08-26T20:24:52.2678584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2678661Z     features = self.features(x)
2025-08-26T20:24:52.2678887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2678961Z     new_features = layer(features)
2025-08-26T20:24:52.2679177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2679292Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2679520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2679729Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2679733Z 
2025-08-26T20:24:52.2679838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2680035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2680110Z     return mod(*inputs)
2025-08-26T20:24:52.2680330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2680410Z     features = self.features(x)
2025-08-26T20:24:52.2680630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2680714Z     new_features = layer(features)
2025-08-26T20:24:52.2680947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2681058Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2681308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2681494Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2681498Z 
2025-08-26T20:24:52.2681611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2681810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2681879Z     return mod(*inputs)
2025-08-26T20:24:52.2682105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2682178Z     features = self.features(x)
2025-08-26T20:24:52.2719857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2720097Z     new_features = layer(features)
2025-08-26T20:24:52.2720391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2720578Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2720586Z 
2025-08-26T20:24:52.2720714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2721134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2721220Z     return mod(*inputs)
2025-08-26T20:24:52.2721487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2721573Z     features = self.features(x)
2025-08-26T20:24:52.2721816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2721910Z     new_features = layer(features)
2025-08-26T20:24:52.2722149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2722337Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2722344Z 
2025-08-26T20:24:52.2722465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2722720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2722807Z     return mod(*inputs)
2025-08-26T20:24:52.2723097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2723185Z     features = self.features(x)
2025-08-26T20:24:52.2723408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2723485Z     new_features = layer(features)
2025-08-26T20:24:52.2723718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2723830Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2724167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2724260Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2724265Z 
2025-08-26T20:24:52.2724383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2724594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2724665Z     return mod(*inputs)
2025-08-26T20:24:52.2724898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2724974Z     features = self.features(x)
2025-08-26T20:24:52.2725201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2725278Z     new_features = layer(features)
2025-08-26T20:24:52.2725506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2725636Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2725882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2726082Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2726089Z 
2025-08-26T20:24:52.2726208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2726431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2726506Z     return mod(*inputs)
2025-08-26T20:24:52.2726742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2726827Z     features = self.features(x)
2025-08-26T20:24:52.2727058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2727147Z     new_features = layer(features)
2025-08-26T20:24:52.2727377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2727489Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2727770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2727971Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2727977Z 
2025-08-26T20:24:52.2728103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2728314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2728387Z     return mod(*inputs)
2025-08-26T20:24:52.2728628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2728709Z     features = self.features(x)
2025-08-26T20:24:52.2728948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2729028Z     new_features = layer(features)
2025-08-26T20:24:52.2729268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2729418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2729423Z 
2025-08-26T20:24:52.2729537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2729754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2729826Z     return mod(*inputs)
2025-08-26T20:24:52.2730064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2730141Z     features = self.features(x)
2025-08-26T20:24:52.2730407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2730494Z     new_features = layer(features)
2025-08-26T20:24:52.2730722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2730874Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2730878Z 
2025-08-26T20:24:52.2730990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2731209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2731281Z     return mod(*inputs)
2025-08-26T20:24:52.2731512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2731599Z     features = self.features(x)
2025-08-26T20:24:52.2731829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2731918Z     new_features = layer(features)
2025-08-26T20:24:52.2732147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2732260Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2732607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2732710Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2732715Z 
2025-08-26T20:24:52.2732836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2733050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2733123Z     return mod(*inputs)
2025-08-26T20:24:52.2733366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2733448Z     features = self.features(x)
2025-08-26T20:24:52.2733697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2733778Z     new_features = layer(features)
2025-08-26T20:24:52.2734016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2734182Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2734431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2734629Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2734634Z 
2025-08-26T20:24:52.2734752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2734975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2735049Z     return mod(*inputs)
2025-08-26T20:24:52.2735289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2735380Z     features = self.features(x)
2025-08-26T20:24:52.2735620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2735710Z     new_features = layer(features)
2025-08-26T20:24:52.2735952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2736068Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2736332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2736519Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2736523Z 
2025-08-26T20:24:52.2736656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2736884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2736992Z     return mod(*inputs)
2025-08-26T20:24:52.2737236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2737314Z     features = self.features(x)
2025-08-26T20:24:52.2737558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2737640Z     new_features = layer(features)
2025-08-26T20:24:52.2737878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2738033Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2738037Z 
2025-08-26T20:24:52.2738153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2738383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2738459Z     return mod(*inputs)
2025-08-26T20:24:52.2738697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2738783Z     features = self.features(x)
2025-08-26T20:24:52.2739021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2739107Z     new_features = layer(features)
2025-08-26T20:24:52.2739340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2739485Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2739489Z 
2025-08-26T20:24:52.2739600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2739823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2739899Z     return mod(*inputs)
2025-08-26T20:24:52.2740147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2740226Z     features = self.features(x)
2025-08-26T20:24:52.2740453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2740532Z     new_features = layer(features)
2025-08-26T20:24:52.2740800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2740921Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2741186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2741284Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2741288Z 
2025-08-26T20:24:52.2741401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2741622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2741699Z     return mod(*inputs)
2025-08-26T20:24:52.2741953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2742030Z     features = self.features(x)
2025-08-26T20:24:52.2742273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2742351Z     new_features = layer(features)
2025-08-26T20:24:52.2742589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2742710Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2742956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2743143Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2743224Z 
2025-08-26T20:24:52.2743338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2743546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2743626Z     return mod(*inputs)
2025-08-26T20:24:52.2743855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2743942Z     features = self.features(x)
2025-08-26T20:24:52.2744172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2744250Z     new_features = layer(features)
2025-08-26T20:24:52.2744489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2744600Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2744847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2745029Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2745033Z 
2025-08-26T20:24:52.2745151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2745360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2745435Z     return mod(*inputs)
2025-08-26T20:24:52.2745678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2745757Z     features = self.features(x)
2025-08-26T20:24:52.2745996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2746077Z     new_features = layer(features)
2025-08-26T20:24:52.2746318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2746474Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2746481Z 
2025-08-26T20:24:52.2746597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2746831Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2746902Z     return mod(*inputs)
2025-08-26T20:24:52.2747179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2747259Z     features = self.features(x)
2025-08-26T20:24:52.2747492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2747578Z     new_features = layer(features)
2025-08-26T20:24:52.2747811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2747960Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2747967Z 
2025-08-26T20:24:52.2748078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2748288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2748367Z     return mod(*inputs)
2025-08-26T20:24:52.2748603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2748689Z     features = self.features(x)
2025-08-26T20:24:52.2748924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2749001Z     new_features = layer(features)
2025-08-26T20:24:52.2749243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2749355Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2749605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2749727Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2749731Z 
2025-08-26T20:24:52.2749848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2750060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2750130Z     return mod(*inputs)
2025-08-26T20:24:52.2750373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2750451Z     features = self.features(x)
2025-08-26T20:24:52.2750690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2750767Z     new_features = layer(features)
2025-08-26T20:24:52.2750998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2751118Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2751363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2751550Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2751554Z 
2025-08-26T20:24:52.2751666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2751885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2751957Z     return mod(*inputs)
2025-08-26T20:24:52.2752191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2752281Z     features = self.features(x)
2025-08-26T20:24:52.2752514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2752599Z     new_features = layer(features)
2025-08-26T20:24:52.2752830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2752946Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2753194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2753404Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2753408Z 
2025-08-26T20:24:52.2753529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2753735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2753806Z     return mod(*inputs)
2025-08-26T20:24:52.2754044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2754121Z     features = self.features(x)
2025-08-26T20:24:52.2754358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2754442Z     new_features = layer(features)
2025-08-26T20:24:52.2754687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2754828Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2754832Z 
2025-08-26T20:24:52.2754945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2755159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2755230Z     return mod(*inputs)
2025-08-26T20:24:52.2755467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2755543Z     features = self.features(x)
2025-08-26T20:24:52.2755773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2755893Z     new_features = layer(features)
2025-08-26T20:24:52.2756129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2756275Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2756279Z 
2025-08-26T20:24:52.2756391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2756602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2756682Z     return mod(*inputs)
2025-08-26T20:24:52.2756913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2756995Z     features = self.features(x)
2025-08-26T20:24:52.2757223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2757307Z     new_features = layer(features)
2025-08-26T20:24:52.2757543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2757658Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2757906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2757998Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2758005Z 
2025-08-26T20:24:52.2758122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2758342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2758412Z     return mod(*inputs)
2025-08-26T20:24:52.2758650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2758726Z     features = self.features(x)
2025-08-26T20:24:52.2758966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2759049Z     new_features = layer(features)
2025-08-26T20:24:52.2759284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2759403Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2759675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2759864Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2759868Z 
2025-08-26T20:24:52.2759979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2760194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2760265Z     return mod(*inputs)
2025-08-26T20:24:52.2760495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2760583Z     features = self.features(x)
2025-08-26T20:24:52.2760811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2760897Z     new_features = layer(features)
2025-08-26T20:24:52.2761134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2761248Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2761497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2761674Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2761678Z 
2025-08-26T20:24:52.2761797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2762003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2762083Z     return mod(*inputs)
2025-08-26T20:24:52.2762346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2762424Z     features = self.features(x)
2025-08-26T20:24:52.2762663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2762740Z     new_features = layer(features)
2025-08-26T20:24:52.2762989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2763133Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2763137Z 
2025-08-26T20:24:52.2763248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2763467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2763540Z     return mod(*inputs)
2025-08-26T20:24:52.2763778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2763857Z     features = self.features(x)
2025-08-26T20:24:52.2764088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2764176Z     new_features = layer(features)
2025-08-26T20:24:52.2764408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2764556Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2764560Z 
2025-08-26T20:24:52.2764672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2764889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2764959Z     return mod(*inputs)
2025-08-26T20:24:52.2765189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2765277Z     features = self.features(x)
2025-08-26T20:24:52.2765512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2765591Z     new_features = layer(features)
2025-08-26T20:24:52.2765808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2765961Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2766213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2766305Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2766309Z 
2025-08-26T20:24:52.2766427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2766641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2766714Z     return mod(*inputs)
2025-08-26T20:24:52.2766957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2767037Z     features = self.features(x)
2025-08-26T20:24:52.2767279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2767357Z     new_features = layer(features)
2025-08-26T20:24:52.2767605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2767720Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2767965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2768154Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2768158Z 
2025-08-26T20:24:52.2768270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2768486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2768590Z     return mod(*inputs)
2025-08-26T20:24:52.2768821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2768905Z     features = self.features(x)
2025-08-26T20:24:52.2769134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2769222Z     new_features = layer(features)
2025-08-26T20:24:52.2769452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2769562Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2769809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2769987Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2769993Z 
2025-08-26T20:24:52.2770110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2770317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2770393Z     return mod(*inputs)
2025-08-26T20:24:52.2770628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2770706Z     features = self.features(x)
2025-08-26T20:24:52.2770943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2771021Z     new_features = layer(features)
2025-08-26T20:24:52.2771255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2771397Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2771400Z 
2025-08-26T20:24:52.2771509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2771726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2771796Z     return mod(*inputs)
2025-08-26T20:24:52.2772032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2772143Z     features = self.features(x)
2025-08-26T20:24:52.2772459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2772548Z     new_features = layer(features)
2025-08-26T20:24:52.2772787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2772940Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2772944Z 
2025-08-26T20:24:52.2773055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2773272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2773349Z     return mod(*inputs)
2025-08-26T20:24:52.2773582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2773668Z     features = self.features(x)
2025-08-26T20:24:52.2773904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2773990Z     new_features = layer(features)
2025-08-26T20:24:52.2774224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2774338Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2774588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2774681Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2774684Z 
2025-08-26T20:24:52.2774845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2775055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2775134Z     return mod(*inputs)
2025-08-26T20:24:52.2775366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2775446Z     features = self.features(x)
2025-08-26T20:24:52.2775685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2775762Z     new_features = layer(features)
2025-08-26T20:24:52.2775999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2776111Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2776351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2776543Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2776547Z 
2025-08-26T20:24:52.2776658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2776875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2776950Z     return mod(*inputs)
2025-08-26T20:24:52.2777192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2777267Z     features = self.features(x)
2025-08-26T20:24:52.2777498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2777583Z     new_features = layer(features)
2025-08-26T20:24:52.2777816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2777934Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2778179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2778360Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2778364Z 
2025-08-26T20:24:52.2778524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2778737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2778818Z     return mod(*inputs)
2025-08-26T20:24:52.2779052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2779130Z     features = self.features(x)
2025-08-26T20:24:52.2779370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2779448Z     new_features = layer(features)
2025-08-26T20:24:52.2779690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2779833Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2779837Z 
2025-08-26T20:24:52.2779955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2780169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2780241Z     return mod(*inputs)
2025-08-26T20:24:52.2780486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2780564Z     features = self.features(x)
2025-08-26T20:24:52.2780809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2780888Z     new_features = layer(features)
2025-08-26T20:24:52.2781125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2781317Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2781321Z 
2025-08-26T20:24:52.2781437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2781659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2781735Z     return mod(*inputs)
2025-08-26T20:24:52.2781985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2782070Z     features = self.features(x)
2025-08-26T20:24:52.2782304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2782390Z     new_features = layer(features)
2025-08-26T20:24:52.2782621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2782745Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2782991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2783084Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2783088Z 
2025-08-26T20:24:52.2783210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2783429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2783511Z     return mod(*inputs)
2025-08-26T20:24:52.2783752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2783832Z     features = self.features(x)
2025-08-26T20:24:52.2784079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2784159Z     new_features = layer(features)
2025-08-26T20:24:52.2784404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2784524Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2784771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2784996Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2785001Z 
2025-08-26T20:24:52.2785118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2785340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2785413Z     return mod(*inputs)
2025-08-26T20:24:52.2785656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2785735Z     features = self.features(x)
2025-08-26T20:24:52.2785971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2786061Z     new_features = layer(features)
2025-08-26T20:24:52.2786295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2786425Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2786663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2786841Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2786852Z 
2025-08-26T20:24:52.2786962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2787169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2787248Z     return mod(*inputs)
2025-08-26T20:24:52.2787478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2787595Z     features = self.features(x)
2025-08-26T20:24:52.2787825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2787904Z     new_features = layer(features)
2025-08-26T20:24:52.2788145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2788288Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2788293Z 
2025-08-26T20:24:52.2788411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2788620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2788691Z     return mod(*inputs)
2025-08-26T20:24:52.2788931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2789007Z     features = self.features(x)
2025-08-26T20:24:52.2789251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2789328Z     new_features = layer(features)
2025-08-26T20:24:52.2789560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2789711Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2789715Z 
2025-08-26T20:24:52.2789827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2790045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2790118Z     return mod(*inputs)
2025-08-26T20:24:52.2790357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2790435Z     features = self.features(x)
2025-08-26T20:24:52.2790666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2790757Z     new_features = layer(features)
2025-08-26T20:24:52.2790987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2791107Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2791394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2791491Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2791495Z 
2025-08-26T20:24:52.2791616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2791825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2791903Z     return mod(*inputs)
2025-08-26T20:24:52.2792134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2792211Z     features = self.features(x)
2025-08-26T20:24:52.2792452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2792531Z     new_features = layer(features)
2025-08-26T20:24:52.2792766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2792879Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2793125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2793303Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2793308Z 
2025-08-26T20:24:52.2793417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2793632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2793704Z     return mod(*inputs)
2025-08-26T20:24:52.2794689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2794767Z     features = self.features(x)
2025-08-26T20:24:52.2794996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2795081Z     new_features = layer(features)
2025-08-26T20:24:52.2795314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2795434Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2795678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2795865Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2795873Z 
2025-08-26T20:24:52.2795987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2796197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2796278Z     return mod(*inputs)
2025-08-26T20:24:52.2796509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2796598Z     features = self.features(x)
2025-08-26T20:24:52.2796832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2796910Z     new_features = layer(features)
2025-08-26T20:24:52.2797159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2797301Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2797305Z 
2025-08-26T20:24:52.2797423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2797633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2797717Z     return mod(*inputs)
2025-08-26T20:24:52.2797950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2798026Z     features = self.features(x)
2025-08-26T20:24:52.2798303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2798383Z     new_features = layer(features)
2025-08-26T20:24:52.2798629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2798772Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2798775Z 
2025-08-26T20:24:52.2798886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2799105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2799177Z     return mod(*inputs)
2025-08-26T20:24:52.2799425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2799503Z     features = self.features(x)
2025-08-26T20:24:52.2799745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2799823Z     new_features = layer(features)
2025-08-26T20:24:52.2800068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2800191Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2800434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2800536Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2800539Z 
2025-08-26T20:24:52.2800650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2800918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2801028Z     return mod(*inputs)
2025-08-26T20:24:52.2801248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2801330Z     features = self.features(x)
2025-08-26T20:24:52.2801552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2801627Z     new_features = layer(features)
2025-08-26T20:24:52.2801856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2801962Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2802196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2802367Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2802374Z 
2025-08-26T20:24:52.2802487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2802687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2802756Z     return mod(*inputs)
2025-08-26T20:24:52.2802984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2803057Z     features = self.features(x)
2025-08-26T20:24:52.2803280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2803354Z     new_features = layer(features)
2025-08-26T20:24:52.2803572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2803687Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2803915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2804093Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2804097Z 
2025-08-26T20:24:52.2804202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2804404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2804501Z     return mod(*inputs)
2025-08-26T20:24:52.2804721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2804802Z     features = self.features(x)
2025-08-26T20:24:52.2805020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2805100Z     new_features = layer(features)
2025-08-26T20:24:52.2805318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2805458Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2805462Z 
2025-08-26T20:24:52.2805575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2805772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2805847Z     return mod(*inputs)
2025-08-26T20:24:52.2806068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2806143Z     features = self.features(x)
2025-08-26T20:24:52.2806375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2806453Z     new_features = layer(features)
2025-08-26T20:24:52.2806910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2807061Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2807152Z 
2025-08-26T20:24:52.2807276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2807490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2807562Z     return mod(*inputs)
2025-08-26T20:24:52.2807807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2807883Z     features = self.features(x)
2025-08-26T20:24:52.2808122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2808200Z     new_features = layer(features)
2025-08-26T20:24:52.2808431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2808553Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2808794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2808898Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2808901Z 
2025-08-26T20:24:52.2809014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2809225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2809309Z     return mod(*inputs)
2025-08-26T20:24:52.2809543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2809630Z     features = self.features(x)
2025-08-26T20:24:52.2809862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2809948Z     new_features = layer(features)
2025-08-26T20:24:52.2810181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2810293Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2810543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2810721Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2810725Z 
2025-08-26T20:24:52.2810842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2811115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2811188Z     return mod(*inputs)
2025-08-26T20:24:52.2811427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2811503Z     features = self.features(x)
2025-08-26T20:24:52.2811737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2811815Z     new_features = layer(features)
2025-08-26T20:24:52.2812043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2812163Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2812455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2812658Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2812663Z 
2025-08-26T20:24:52.2812779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2813000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2813074Z     return mod(*inputs)
2025-08-26T20:24:52.2813311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2813397Z     features = self.features(x)
2025-08-26T20:24:52.2813633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2813772Z     new_features = layer(features)
2025-08-26T20:24:52.2814007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2814154Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2814165Z 
2025-08-26T20:24:52.2814283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2814499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2814581Z     return mod(*inputs)
2025-08-26T20:24:52.2814828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2814915Z     features = self.features(x)
2025-08-26T20:24:52.2815146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2815228Z     new_features = layer(features)
2025-08-26T20:24:52.2815468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2815611Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2815614Z 
2025-08-26T20:24:52.2815734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2815947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2816021Z     return mod(*inputs)
2025-08-26T20:24:52.2816267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2816346Z     features = self.features(x)
2025-08-26T20:24:52.2816587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2816666Z     new_features = layer(features)
2025-08-26T20:24:52.2816907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2817031Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2817286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2817423Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2817427Z 
2025-08-26T20:24:52.2817545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2817781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2817853Z     return mod(*inputs)
2025-08-26T20:24:52.2818092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2818177Z     features = self.features(x)
2025-08-26T20:24:52.2818415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2818504Z     new_features = layer(features)
2025-08-26T20:24:52.2818749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2818865Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2819133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2819319Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2819323Z 
2025-08-26T20:24:52.2819444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2819669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2819749Z     return mod(*inputs)
2025-08-26T20:24:52.2819988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2820108Z     features = self.features(x)
2025-08-26T20:24:52.2820352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2820433Z     new_features = layer(features)
2025-08-26T20:24:52.2820685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2820801Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2821049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2821243Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2821247Z 
2025-08-26T20:24:52.2821362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2821583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2821658Z     return mod(*inputs)
2025-08-26T20:24:52.2821900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2821986Z     features = self.features(x)
2025-08-26T20:24:52.2822224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2822315Z     new_features = layer(features)
2025-08-26T20:24:52.2822555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2822711Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2822715Z 
2025-08-26T20:24:52.2822830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2823047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2823128Z     return mod(*inputs)
2025-08-26T20:24:52.2823368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2823457Z     features = self.features(x)
2025-08-26T20:24:52.2823696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2823775Z     new_features = layer(features)
2025-08-26T20:24:52.2824064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2824212Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2824216Z 
2025-08-26T20:24:52.2824335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2824563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2824635Z     return mod(*inputs)
2025-08-26T20:24:52.2824882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2824964Z     features = self.features(x)
2025-08-26T20:24:52.2825212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2825290Z     new_features = layer(features)
2025-08-26T20:24:52.2825547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2825667Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2825920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2826021Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2826025Z 
2025-08-26T20:24:52.2826140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2826364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2826437Z     return mod(*inputs)
2025-08-26T20:24:52.2826715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2826803Z     features = self.features(x)
2025-08-26T20:24:52.2827039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2827125Z     new_features = layer(features)
2025-08-26T20:24:52.2827367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2827483Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2827737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2827931Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2827935Z 
2025-08-26T20:24:52.2828055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2828269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2828349Z     return mod(*inputs)
2025-08-26T20:24:52.2828584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2828660Z     features = self.features(x)
2025-08-26T20:24:52.2828905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2828984Z     new_features = layer(features)
2025-08-26T20:24:52.2829223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2829335Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2829580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2829772Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2829778Z 
2025-08-26T20:24:52.2829892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2830113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2830187Z     return mod(*inputs)
2025-08-26T20:24:52.2830461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2830540Z     features = self.features(x)
2025-08-26T20:24:52.2830773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2830860Z     new_features = layer(features)
2025-08-26T20:24:52.2831090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2831243Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2831246Z 
2025-08-26T20:24:52.2831362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2831572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2831651Z     return mod(*inputs)
2025-08-26T20:24:52.2831883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2831971Z     features = self.features(x)
2025-08-26T20:24:52.2832201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2832280Z     new_features = layer(features)
2025-08-26T20:24:52.2832517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2832657Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2832661Z 
2025-08-26T20:24:52.2832779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2833023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2833100Z     return mod(*inputs)
2025-08-26T20:24:52.2833333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2833410Z     features = self.features(x)
2025-08-26T20:24:52.2833652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2833731Z     new_features = layer(features)
2025-08-26T20:24:52.2833967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2834079Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2834321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2834422Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2834428Z 
2025-08-26T20:24:52.2834537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2834754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2834825Z     return mod(*inputs)
2025-08-26T20:24:52.2835058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2835141Z     features = self.features(x)
2025-08-26T20:24:52.2835373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2835456Z     new_features = layer(features)
2025-08-26T20:24:52.2835688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2835807Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2836046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2836229Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2836233Z 
2025-08-26T20:24:52.2836354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2836561Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2836674Z     return mod(*inputs)
2025-08-26T20:24:52.2836919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2836992Z     features = self.features(x)
2025-08-26T20:24:52.2837219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2837294Z     new_features = layer(features)
2025-08-26T20:24:52.2837516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2837623Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2837853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2838030Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2838033Z 
2025-08-26T20:24:52.2838139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2838345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2838412Z     return mod(*inputs)
2025-08-26T20:24:52.2838636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2838709Z     features = self.features(x)
2025-08-26T20:24:52.2838928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2839009Z     new_features = layer(features)
2025-08-26T20:24:52.2839270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2839412Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2839415Z 
2025-08-26T20:24:52.2839519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2839723Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2839809Z     return mod(*inputs)
2025-08-26T20:24:52.2840036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2840108Z     features = self.features(x)
2025-08-26T20:24:52.2840326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2840409Z     new_features = layer(features)
2025-08-26T20:24:52.2840629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2840772Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2840775Z 
2025-08-26T20:24:52.2840879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2841079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2841157Z     return mod(*inputs)
2025-08-26T20:24:52.2841377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2841455Z     features = self.features(x)
2025-08-26T20:24:52.2841673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2841748Z     new_features = layer(features)
2025-08-26T20:24:52.2841974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2842083Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2842318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2842409Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2842412Z 
2025-08-26T20:24:52.2842532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2842824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2842898Z     return mod(*inputs)
2025-08-26T20:24:52.2843136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2843214Z     features = self.features(x)
2025-08-26T20:24:52.2843450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2843527Z     new_features = layer(features)
2025-08-26T20:24:52.2843757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2843879Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2844116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2844305Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2844309Z 
2025-08-26T20:24:52.2844420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2844638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2844709Z     return mod(*inputs)
2025-08-26T20:24:52.2844944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2845025Z     features = self.features(x)
2025-08-26T20:24:52.2845243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2845359Z     new_features = layer(features)
2025-08-26T20:24:52.2845596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2845709Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2845960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2846138Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2846141Z 
2025-08-26T20:24:52.2846261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2846470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2846540Z     return mod(*inputs)
2025-08-26T20:24:52.2846779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2846859Z     features = self.features(x)
2025-08-26T20:24:52.2847099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2847177Z     new_features = layer(features)
2025-08-26T20:24:52.2847416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2847561Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2847565Z 
2025-08-26T20:24:52.2847674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2847890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2847961Z     return mod(*inputs)
2025-08-26T20:24:52.2848199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2848275Z     features = self.features(x)
2025-08-26T20:24:52.2848507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2848591Z     new_features = layer(features)
2025-08-26T20:24:52.2848819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2849011Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2849015Z 
2025-08-26T20:24:52.2849130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2849340Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2849419Z     return mod(*inputs)
2025-08-26T20:24:52.2849650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2849734Z     features = self.features(x)
2025-08-26T20:24:52.2849967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2850055Z     new_features = layer(features)
2025-08-26T20:24:52.2850286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2850398Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2850650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2850745Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2850749Z 
2025-08-26T20:24:52.2850867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2851078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2851149Z     return mod(*inputs)
2025-08-26T20:24:52.2851389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2851497Z     features = self.features(x)
2025-08-26T20:24:52.2851741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2851819Z     new_features = layer(features)
2025-08-26T20:24:52.2852052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2852179Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2852610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2852816Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2852820Z 
2025-08-26T20:24:52.2852938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2853163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2853237Z     return mod(*inputs)
2025-08-26T20:24:52.2853482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2853573Z     features = self.features(x)
2025-08-26T20:24:52.2853810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2853902Z     new_features = layer(features)
2025-08-26T20:24:52.2854149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2854264Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2854517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2854700Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2854704Z 
2025-08-26T20:24:52.2854828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2855046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2855130Z     return mod(*inputs)
2025-08-26T20:24:52.2855368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2855449Z     features = self.features(x)
2025-08-26T20:24:52.2855741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2855823Z     new_features = layer(features)
2025-08-26T20:24:52.2856066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2856213Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2856217Z 
2025-08-26T20:24:52.2856332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2856558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2856636Z     return mod(*inputs)
2025-08-26T20:24:52.2856888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2856967Z     features = self.features(x)
2025-08-26T20:24:52.2857214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2857301Z     new_features = layer(features)
2025-08-26T20:24:52.2857547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2857699Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2857702Z 
2025-08-26T20:24:52.2857816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2858057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2858131Z     return mod(*inputs)
2025-08-26T20:24:52.2858409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2858497Z     features = self.features(x)
2025-08-26T20:24:52.2858748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2858838Z     new_features = layer(features)
2025-08-26T20:24:52.2859077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2859193Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2859448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2859545Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2859549Z 
2025-08-26T20:24:52.2859666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2859906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2859983Z     return mod(*inputs)
2025-08-26T20:24:52.2860244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2860322Z     features = self.features(x)
2025-08-26T20:24:52.2860584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2860665Z     new_features = layer(features)
2025-08-26T20:24:52.2860908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2861022Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2861272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2861467Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2861474Z 
2025-08-26T20:24:52.2861588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2861827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2861899Z     return mod(*inputs)
2025-08-26T20:24:52.2862192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2862280Z     features = self.features(x)
2025-08-26T20:24:52.2862533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2862621Z     new_features = layer(features)
2025-08-26T20:24:52.2862858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2862972Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2863245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2863431Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2863434Z 
2025-08-26T20:24:52.2863553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2863787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2863868Z     return mod(*inputs)
2025-08-26T20:24:52.2864117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2864196Z     features = self.features(x)
2025-08-26T20:24:52.2864452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2864531Z     new_features = layer(features)
2025-08-26T20:24:52.2864776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2864960Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2864964Z 
2025-08-26T20:24:52.2865076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2865315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2865389Z     return mod(*inputs)
2025-08-26T20:24:52.2865649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2865729Z     features = self.features(x)
2025-08-26T20:24:52.2865989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2866070Z     new_features = layer(features)
2025-08-26T20:24:52.2866308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2866464Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2866471Z 
2025-08-26T20:24:52.2866585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2866816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2866888Z     return mod(*inputs)
2025-08-26T20:24:52.2867124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2867211Z     features = self.features(x)
2025-08-26T20:24:52.2867441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2867528Z     new_features = layer(features)
2025-08-26T20:24:52.2867759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2867872Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2868121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2868216Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2868220Z 
2025-08-26T20:24:52.2868340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2868548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2868661Z     return mod(*inputs)
2025-08-26T20:24:52.2868894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2868970Z     features = self.features(x)
2025-08-26T20:24:52.2869208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2869286Z     new_features = layer(features)
2025-08-26T20:24:52.2869524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2869636Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2869878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2870065Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2870069Z 
2025-08-26T20:24:52.2870181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2870396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2870466Z     return mod(*inputs)
2025-08-26T20:24:52.2870703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2870780Z     features = self.features(x)
2025-08-26T20:24:52.2871011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2871095Z     new_features = layer(features)
2025-08-26T20:24:52.2871362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2871479Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2871718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2871901Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2871904Z 
2025-08-26T20:24:52.2872025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2872230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2872309Z     return mod(*inputs)
2025-08-26T20:24:52.2872540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2872617Z     features = self.features(x)
2025-08-26T20:24:52.2872854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2872935Z     new_features = layer(features)
2025-08-26T20:24:52.2873172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2873316Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2873323Z 
2025-08-26T20:24:52.2873443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2873651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2873722Z     return mod(*inputs)
2025-08-26T20:24:52.2873963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2874039Z     features = self.features(x)
2025-08-26T20:24:52.2874278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2874361Z     new_features = layer(features)
2025-08-26T20:24:52.2874589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2874738Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2874741Z 
2025-08-26T20:24:52.2874891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2875108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2875180Z     return mod(*inputs)
2025-08-26T20:24:52.2875413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2875497Z     features = self.features(x)
2025-08-26T20:24:52.2875730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2875815Z     new_features = layer(features)
2025-08-26T20:24:52.2876049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2876168Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2876409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2876502Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2876506Z 
2025-08-26T20:24:52.2876622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2876832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2876910Z     return mod(*inputs)
2025-08-26T20:24:52.2877142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2877219Z     features = self.features(x)
2025-08-26T20:24:52.2877457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2877569Z     new_features = layer(features)
2025-08-26T20:24:52.2877808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2877914Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2878142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2878320Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2878324Z 
2025-08-26T20:24:52.2878429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2878632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2878699Z     return mod(*inputs)
2025-08-26T20:24:52.2878933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2879012Z     features = self.features(x)
2025-08-26T20:24:52.2879242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2879329Z     new_features = layer(features)
2025-08-26T20:24:52.2879559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2879678Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2879919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2880099Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2880110Z 
2025-08-26T20:24:52.2880221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2880428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2880510Z     return mod(*inputs)
2025-08-26T20:24:52.2880743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2880827Z     features = self.features(x)
2025-08-26T20:24:52.2881060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2881171Z     new_features = layer(features)
2025-08-26T20:24:52.2881413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2881557Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2881560Z 
2025-08-26T20:24:52.2881680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2881890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2881961Z     return mod(*inputs)
2025-08-26T20:24:52.2882204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2882285Z     features = self.features(x)
2025-08-26T20:24:52.2882524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2882603Z     new_features = layer(features)
2025-08-26T20:24:52.2882837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2882988Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2882991Z 
2025-08-26T20:24:52.2883103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2883318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2883388Z     return mod(*inputs)
2025-08-26T20:24:52.2883626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2883739Z     features = self.features(x)
2025-08-26T20:24:52.2883974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2884061Z     new_features = layer(features)
2025-08-26T20:24:52.2884301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2884421Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2884665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2884758Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2884762Z 
2025-08-26T20:24:52.2884880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2885091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2885170Z     return mod(*inputs)
2025-08-26T20:24:52.2885410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2885486Z     features = self.features(x)
2025-08-26T20:24:52.2885727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2885804Z     new_features = layer(features)
2025-08-26T20:24:52.2886048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2886161Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2886414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2886594Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2886597Z 
2025-08-26T20:24:52.2886708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2886930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2887001Z     return mod(*inputs)
2025-08-26T20:24:52.2887246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2887323Z     features = self.features(x)
2025-08-26T20:24:52.2887601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2887690Z     new_features = layer(features)
2025-08-26T20:24:52.2887924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2888048Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2888299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2888495Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2888501Z 
2025-08-26T20:24:52.2888620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2888839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2888925Z     return mod(*inputs)
2025-08-26T20:24:52.2889173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2889265Z     features = self.features(x)
2025-08-26T20:24:52.2889509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2889593Z     new_features = layer(features)
2025-08-26T20:24:52.2889842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2889993Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2889997Z 
2025-08-26T20:24:52.2890153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2890365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2890444Z     return mod(*inputs)
2025-08-26T20:24:52.2890682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2890767Z     features = self.features(x)
2025-08-26T20:24:52.2891012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2891096Z     new_features = layer(features)
2025-08-26T20:24:52.2891342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2891489Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2891493Z 
2025-08-26T20:24:52.2891608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2891837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2891913Z     return mod(*inputs)
2025-08-26T20:24:52.2892163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2892246Z     features = self.features(x)
2025-08-26T20:24:52.2892571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2892669Z     new_features = layer(features)
2025-08-26T20:24:52.2892907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2893034Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2893282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2893379Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2893393Z 
2025-08-26T20:24:52.2893508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2893721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2893804Z     return mod(*inputs)
2025-08-26T20:24:52.2894088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2894177Z     features = self.features(x)
2025-08-26T20:24:52.2894418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2894499Z     new_features = layer(features)
2025-08-26T20:24:52.2894745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2894861Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2895119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2895307Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2895312Z 
2025-08-26T20:24:52.2895427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2895652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2895728Z     return mod(*inputs)
2025-08-26T20:24:52.2895972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2896051Z     features = self.features(x)
2025-08-26T20:24:52.2896296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2896375Z     new_features = layer(features)
2025-08-26T20:24:52.2896613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2896772Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2897022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2897216Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2897220Z 
2025-08-26T20:24:52.2897336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2897553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2897636Z     return mod(*inputs)
2025-08-26T20:24:52.2897872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2897960Z     features = self.features(x)
2025-08-26T20:24:52.2898199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2898277Z     new_features = layer(features)
2025-08-26T20:24:52.2898526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2898674Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2898678Z 
2025-08-26T20:24:52.2898800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2899014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2899094Z     return mod(*inputs)
2025-08-26T20:24:52.2899334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2899412Z     features = self.features(x)
2025-08-26T20:24:52.2899658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2899743Z     new_features = layer(features)
2025-08-26T20:24:52.2900004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2900153Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2900157Z 
2025-08-26T20:24:52.2900254Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2900352Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2900439Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2900570Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2900658Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2900744Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.2900869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2901119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2901199Z     return mod(*inputs)
2025-08-26T20:24:52.2901454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2901535Z     features = self.features(x)
2025-08-26T20:24:52.2901797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:24:52.2901883Z     return torch.cat(features, 1)
2025-08-26T20:24:52.2901887Z 
2025-08-26T20:24:52.2902008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2902263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2902346Z     return mod(*inputs)
2025-08-26T20:24:52.2902598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2902678Z     features = self.features(x)
2025-08-26T20:24:52.2902682Z 
2025-08-26T20:24:52.2902802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2903037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2903118Z     return mod(*inputs)
2025-08-26T20:24:52.2903392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2903470Z     features = self.features(x)
2025-08-26T20:24:52.2903474Z 
2025-08-26T20:24:52.2903596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2903837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2903916Z     return mod(*inputs)
2025-08-26T20:24:52.2904166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2904242Z     features = self.features(x)
2025-08-26T20:24:52.2904487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2904566Z     new_features = layer(features)
2025-08-26T20:24:52.2904814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2904935Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2905197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2905388Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2905394Z 
2025-08-26T20:24:52.2905509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2905737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2905811Z     return mod(*inputs)
2025-08-26T20:24:52.2906063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2906141Z     features = self.features(x)
2025-08-26T20:24:52.2906385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2906723Z     new_features = layer(features)
2025-08-26T20:24:52.2906965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2907118Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2907122Z 
2025-08-26T20:24:52.2907316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2907545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2907617Z     return mod(*inputs)
2025-08-26T20:24:52.2907883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2907969Z     features = self.features(x)
2025-08-26T20:24:52.2908200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2908285Z     new_features = layer(features)
2025-08-26T20:24:52.2908518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2908660Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2908663Z 
2025-08-26T20:24:52.2908783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2909004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2909084Z     return mod(*inputs)
2025-08-26T20:24:52.2909319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2909395Z     features = self.features(x)
2025-08-26T20:24:52.2909634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2909712Z     new_features = layer(features)
2025-08-26T20:24:52.2909951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2910127Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2910370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2910473Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2910477Z 
2025-08-26T20:24:52.2910590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2910809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2910881Z     return mod(*inputs)
2025-08-26T20:24:52.2911119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2911195Z     features = self.features(x)
2025-08-26T20:24:52.2911426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2911511Z     new_features = layer(features)
2025-08-26T20:24:52.2911742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2911864Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2912104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2912288Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2912300Z 
2025-08-26T20:24:52.2912411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2912619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2912698Z     return mod(*inputs)
2025-08-26T20:24:52.2912929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2913014Z     features = self.features(x)
2025-08-26T20:24:52.2913247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2913324Z     new_features = layer(features)
2025-08-26T20:24:52.2913564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2913710Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2913963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2914144Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2914148Z 
2025-08-26T20:24:52.2914259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2914474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2914545Z     return mod(*inputs)
2025-08-26T20:24:52.2914782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2914861Z     features = self.features(x)
2025-08-26T20:24:52.2915092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2915179Z     new_features = layer(features)
2025-08-26T20:24:52.2915411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2915562Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2915565Z 
2025-08-26T20:24:52.2915673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2915891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2915962Z     return mod(*inputs)
2025-08-26T20:24:52.2916197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2916316Z     features = self.features(x)
2025-08-26T20:24:52.2916547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2916631Z     new_features = layer(features)
2025-08-26T20:24:52.2916868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2916999Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2917003Z 
2025-08-26T20:24:52.2917114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2917305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2917377Z     return mod(*inputs)
2025-08-26T20:24:52.2917590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2917658Z     features = self.features(x)
2025-08-26T20:24:52.2917879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2917951Z     new_features = layer(features)
2025-08-26T20:24:52.2918170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2918276Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2918505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2918590Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2918593Z 
2025-08-26T20:24:52.2918694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2918892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2918956Z     return mod(*inputs)
2025-08-26T20:24:52.2919174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2919247Z     features = self.features(x)
2025-08-26T20:24:52.2919459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2919538Z     new_features = layer(features)
2025-08-26T20:24:52.2919781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2919895Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2920114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2920286Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2920289Z 
2025-08-26T20:24:52.2920390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2920582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2920657Z     return mod(*inputs)
2025-08-26T20:24:52.2920868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2920944Z     features = self.features(x)
2025-08-26T20:24:52.2921157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2921229Z     new_features = layer(features)
2025-08-26T20:24:52.2921445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2921550Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2921775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2921939Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2921942Z 
2025-08-26T20:24:52.2922084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2922274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2922342Z     return mod(*inputs)
2025-08-26T20:24:52.2922563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2922640Z     features = self.features(x)
2025-08-26T20:24:52.2922865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2922940Z     new_features = layer(features)
2025-08-26T20:24:52.2923154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2923297Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2923300Z 
2025-08-26T20:24:52.2923404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2923608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2923675Z     return mod(*inputs)
2025-08-26T20:24:52.2923891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2923974Z     features = self.features(x)
2025-08-26T20:24:52.2924190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2924273Z     new_features = layer(features)
2025-08-26T20:24:52.2924486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2924620Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2924631Z 
2025-08-26T20:24:52.2924736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2924932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2925014Z     return mod(*inputs)
2025-08-26T20:24:52.2925237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2925320Z     features = self.features(x)
2025-08-26T20:24:52.2925582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2925657Z     new_features = layer(features)
2025-08-26T20:24:52.2925887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2925993Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2926231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2926319Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2926322Z 
2025-08-26T20:24:52.2926426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2926635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2926703Z     return mod(*inputs)
2025-08-26T20:24:52.2926930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2927002Z     features = self.features(x)
2025-08-26T20:24:52.2927224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2927304Z     new_features = layer(features)
2025-08-26T20:24:52.2927520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2927634Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2927861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2928037Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2928069Z 
2025-08-26T20:24:52.2928175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2928369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2928444Z     return mod(*inputs)
2025-08-26T20:24:52.2928664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2928745Z     features = self.features(x)
2025-08-26T20:24:52.2928960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2929034Z     new_features = layer(features)
2025-08-26T20:24:52.2929257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2929363Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2929603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2929771Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2929775Z 
2025-08-26T20:24:52.2929885Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2930083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2930151Z     return mod(*inputs)
2025-08-26T20:24:52.2930378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2930451Z     features = self.features(x)
2025-08-26T20:24:52.2930676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2930749Z     new_features = layer(features)
2025-08-26T20:24:52.2930966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2931122Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2931125Z 
2025-08-26T20:24:52.2931234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2931446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2931546Z     return mod(*inputs)
2025-08-26T20:24:52.2931788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2931866Z     features = self.features(x)
2025-08-26T20:24:52.2932098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2932183Z     new_features = layer(features)
2025-08-26T20:24:52.2932482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2932649Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2932653Z 
2025-08-26T20:24:52.2932765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2932979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2933061Z     return mod(*inputs)
2025-08-26T20:24:52.2933307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2933395Z     features = self.features(x)
2025-08-26T20:24:52.2933631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2933713Z     new_features = layer(features)
2025-08-26T20:24:52.2933959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2934077Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2934395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2934488Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2934491Z 
2025-08-26T20:24:52.2934611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2934828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2934900Z     return mod(*inputs)
2025-08-26T20:24:52.2935147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2935223Z     features = self.features(x)
2025-08-26T20:24:52.2935469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2935547Z     new_features = layer(features)
2025-08-26T20:24:52.2935781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2935903Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2936147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2936334Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2936338Z 
2025-08-26T20:24:52.2936451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2936664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2936741Z     return mod(*inputs)
2025-08-26T20:24:52.2936978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2937060Z     features = self.features(x)
2025-08-26T20:24:52.2937297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2937383Z     new_features = layer(features)
2025-08-26T20:24:52.2937618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2937730Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2938017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2938197Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2938201Z 
2025-08-26T20:24:52.2938321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2938527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2938598Z     return mod(*inputs)
2025-08-26T20:24:52.2938836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2938912Z     features = self.features(x)
2025-08-26T20:24:52.2939153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2939230Z     new_features = layer(features)
2025-08-26T20:24:52.2939459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2939613Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2939616Z 
2025-08-26T20:24:52.2939728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2939946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2940017Z     return mod(*inputs)
2025-08-26T20:24:52.2940258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2940335Z     features = self.features(x)
2025-08-26T20:24:52.2940565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2940688Z     new_features = layer(features)
2025-08-26T20:24:52.2940920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2941069Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2941076Z 
2025-08-26T20:24:52.2941187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2941397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2941479Z     return mod(*inputs)
2025-08-26T20:24:52.2941712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2941796Z     features = self.features(x)
2025-08-26T20:24:52.2942030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2942120Z     new_features = layer(features)
2025-08-26T20:24:52.2942353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2942466Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2942720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2942812Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2942816Z 
2025-08-26T20:24:52.2942932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2943143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2943215Z     return mod(*inputs)
2025-08-26T20:24:52.2943461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2943537Z     features = self.features(x)
2025-08-26T20:24:52.2943782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2943859Z     new_features = layer(features)
2025-08-26T20:24:52.2944091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2944211Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2944522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2944711Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2944715Z 
2025-08-26T20:24:52.2944824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2945043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2945116Z     return mod(*inputs)
2025-08-26T20:24:52.2945350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2945440Z     features = self.features(x)
2025-08-26T20:24:52.2945673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2945757Z     new_features = layer(features)
2025-08-26T20:24:52.2945989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2946099Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2946347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2946526Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2946529Z 
2025-08-26T20:24:52.2946646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2946855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2946968Z     return mod(*inputs)
2025-08-26T20:24:52.2947203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2947280Z     features = self.features(x)
2025-08-26T20:24:52.2947535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2947610Z     new_features = layer(features)
2025-08-26T20:24:52.2947843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2947979Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2947982Z 
2025-08-26T20:24:52.2948088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2948297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2948369Z     return mod(*inputs)
2025-08-26T20:24:52.2948599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2948672Z     features = self.features(x)
2025-08-26T20:24:52.2948897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2948983Z     new_features = layer(features)
2025-08-26T20:24:52.2949205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2949345Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2949348Z 
2025-08-26T20:24:52.2949453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2949661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2949728Z     return mod(*inputs)
2025-08-26T20:24:52.2949953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2950038Z     features = self.features(x)
2025-08-26T20:24:52.2950261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2950339Z     new_features = layer(features)
2025-08-26T20:24:52.2950599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2950708Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2950941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2951028Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2951032Z 
2025-08-26T20:24:52.2951148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2951355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2951431Z     return mod(*inputs)
2025-08-26T20:24:52.2951669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2951747Z     features = self.features(x)
2025-08-26T20:24:52.2951981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2952062Z     new_features = layer(features)
2025-08-26T20:24:52.2952299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2952412Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2952649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2952834Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2952838Z 
2025-08-26T20:24:52.2952990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2953198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2953267Z     return mod(*inputs)
2025-08-26T20:24:52.2953493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2953578Z     features = self.features(x)
2025-08-26T20:24:52.2953802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2953884Z     new_features = layer(features)
2025-08-26T20:24:52.2954107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2954213Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2954455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2954630Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2954633Z 
2025-08-26T20:24:52.2954749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2954964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2955043Z     return mod(*inputs)
2025-08-26T20:24:52.2955284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2955363Z     features = self.features(x)
2025-08-26T20:24:52.2955610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2955687Z     new_features = layer(features)
2025-08-26T20:24:52.2955931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2956074Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2956081Z 
2025-08-26T20:24:52.2956191Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2956414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2956484Z     return mod(*inputs)
2025-08-26T20:24:52.2956771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2956850Z     features = self.features(x)
2025-08-26T20:24:52.2957089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2957165Z     new_features = layer(features)
2025-08-26T20:24:52.2957394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2957543Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2957547Z 
2025-08-26T20:24:52.2957671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2957887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2957958Z     return mod(*inputs)
2025-08-26T20:24:52.2958189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2958279Z     features = self.features(x)
2025-08-26T20:24:52.2958511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2958598Z     new_features = layer(features)
2025-08-26T20:24:52.2958828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2958939Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2959187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2959314Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2959317Z 
2025-08-26T20:24:52.2959438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2959647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2959727Z     return mod(*inputs)
2025-08-26T20:24:52.2959964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2960040Z     features = self.features(x)
2025-08-26T20:24:52.2960280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2960366Z     new_features = layer(features)
2025-08-26T20:24:52.2960593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2960700Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2960935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2961123Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2961127Z 
2025-08-26T20:24:52.2961238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2961458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2961531Z     return mod(*inputs)
2025-08-26T20:24:52.2961764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2961849Z     features = self.features(x)
2025-08-26T20:24:52.2962080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2962165Z     new_features = layer(features)
2025-08-26T20:24:52.2962396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2962518Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2962768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2962937Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2962971Z 
2025-08-26T20:24:52.2963085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2963280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2963358Z     return mod(*inputs)
2025-08-26T20:24:52.2963588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2963664Z     features = self.features(x)
2025-08-26T20:24:52.2963901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2963982Z     new_features = layer(features)
2025-08-26T20:24:52.2964220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2964364Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2964367Z 
2025-08-26T20:24:52.2964487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2964695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2964767Z     return mod(*inputs)
2025-08-26T20:24:52.2965006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2965082Z     features = self.features(x)
2025-08-26T20:24:52.2965321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2965398Z     new_features = layer(features)
2025-08-26T20:24:52.2965665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2965814Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2965818Z 
2025-08-26T20:24:52.2965928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2966147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2966219Z     return mod(*inputs)
2025-08-26T20:24:52.2966451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2966534Z     features = self.features(x)
2025-08-26T20:24:52.2966765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2966848Z     new_features = layer(features)
2025-08-26T20:24:52.2967077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2967199Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2967438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2967530Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2967534Z 
2025-08-26T20:24:52.2967656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2967863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2967941Z     return mod(*inputs)
2025-08-26T20:24:52.2968171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2968247Z     features = self.features(x)
2025-08-26T20:24:52.2968489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2968569Z     new_features = layer(features)
2025-08-26T20:24:52.2968805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2968919Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2969160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2969383Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2969387Z 
2025-08-26T20:24:52.2969498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2969719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2969791Z     return mod(*inputs)
2025-08-26T20:24:52.2970034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2970111Z     features = self.features(x)
2025-08-26T20:24:52.2970350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2970436Z     new_features = layer(features)
2025-08-26T20:24:52.2970667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2970790Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2971030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2971209Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2971219Z 
2025-08-26T20:24:52.2971329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2971540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2971620Z     return mod(*inputs)
2025-08-26T20:24:52.2971853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2971968Z     features = self.features(x)
2025-08-26T20:24:52.2972203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2972280Z     new_features = layer(features)
2025-08-26T20:24:52.2972608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2972760Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2972764Z 
2025-08-26T20:24:52.2972886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2973099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2973172Z     return mod(*inputs)
2025-08-26T20:24:52.2973417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2973500Z     features = self.features(x)
2025-08-26T20:24:52.2973749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2973829Z     new_features = layer(features)
2025-08-26T20:24:52.2974081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2974233Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2974237Z 
2025-08-26T20:24:52.2974348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2974567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2974639Z     return mod(*inputs)
2025-08-26T20:24:52.2974880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2974959Z     features = self.features(x)
2025-08-26T20:24:52.2975194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2975282Z     new_features = layer(features)
2025-08-26T20:24:52.2975515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2975675Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2975921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2976014Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2976017Z 
2025-08-26T20:24:52.2976138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2976347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2976425Z     return mod(*inputs)
2025-08-26T20:24:52.2976661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2976741Z     features = self.features(x)
2025-08-26T20:24:52.2976983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2977059Z     new_features = layer(features)
2025-08-26T20:24:52.2977306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2977418Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2977669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2977850Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2977853Z 
2025-08-26T20:24:52.2977963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2978181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2978289Z     return mod(*inputs)
2025-08-26T20:24:52.2978526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2978601Z     features = self.features(x)
2025-08-26T20:24:52.2978836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2978921Z     new_features = layer(features)
2025-08-26T20:24:52.2979152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2979270Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2979513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2979699Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2979706Z 
2025-08-26T20:24:52.2979816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2980024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2980104Z     return mod(*inputs)
2025-08-26T20:24:52.2980335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2980420Z     features = self.features(x)
2025-08-26T20:24:52.2980651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2980729Z     new_features = layer(features)
2025-08-26T20:24:52.2980967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2981112Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2981116Z 
2025-08-26T20:24:52.2981232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2981446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2981517Z     return mod(*inputs)
2025-08-26T20:24:52.2981759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2981835Z     features = self.features(x)
2025-08-26T20:24:52.2982117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2982197Z     new_features = layer(features)
2025-08-26T20:24:52.2982436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2982579Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2982582Z 
2025-08-26T20:24:52.2982692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2982911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2982985Z     return mod(*inputs)
2025-08-26T20:24:52.2983226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2983303Z     features = self.features(x)
2025-08-26T20:24:52.2983541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2983627Z     new_features = layer(features)
2025-08-26T20:24:52.2983859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2983980Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2984227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2984320Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2984331Z 
2025-08-26T20:24:52.2984443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2984680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2984761Z     return mod(*inputs)
2025-08-26T20:24:52.2984992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2985080Z     features = self.features(x)
2025-08-26T20:24:52.2985311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2985388Z     new_features = layer(features)
2025-08-26T20:24:52.2985623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2985735Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2985982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2986164Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2986167Z 
2025-08-26T20:24:52.2986278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2986496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2986569Z     return mod(*inputs)
2025-08-26T20:24:52.2986808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2986886Z     features = self.features(x)
2025-08-26T20:24:52.2987125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2987198Z     new_features = layer(features)
2025-08-26T20:24:52.2987416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2987529Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2987758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2987933Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2987936Z 
2025-08-26T20:24:52.2988041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2988268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2988346Z     return mod(*inputs)
2025-08-26T20:24:52.2988568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2988648Z     features = self.features(x)
2025-08-26T20:24:52.2988868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2988941Z     new_features = layer(features)
2025-08-26T20:24:52.2989168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2989306Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2989310Z 
2025-08-26T20:24:52.2989421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2989621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2989697Z     return mod(*inputs)
2025-08-26T20:24:52.2989917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2989991Z     features = self.features(x)
2025-08-26T20:24:52.2990216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2990290Z     new_features = layer(features)
2025-08-26T20:24:52.2990514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2990687Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2990690Z 
2025-08-26T20:24:52.2990795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2991000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2991069Z     return mod(*inputs)
2025-08-26T20:24:52.2991296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2991368Z     features = self.features(x)
2025-08-26T20:24:52.2991587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2991669Z     new_features = layer(features)
2025-08-26T20:24:52.2991884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2991998Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2992228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.2992323Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.2992326Z 
2025-08-26T20:24:52.2992429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2992628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2992703Z     return mod(*inputs)
2025-08-26T20:24:52.2992923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2993001Z     features = self.features(x)
2025-08-26T20:24:52.2993217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2993289Z     new_features = layer(features)
2025-08-26T20:24:52.2993512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2993620Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2993850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2994017Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2994049Z 
2025-08-26T20:24:52.2994166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2994368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2994439Z     return mod(*inputs)
2025-08-26T20:24:52.2994666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2994742Z     features = self.features(x)
2025-08-26T20:24:52.2994969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2995059Z     new_features = layer(features)
2025-08-26T20:24:52.2995274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2995388Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.2995615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.2995796Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.2995799Z 
2025-08-26T20:24:52.2995908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2996110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2996190Z     return mod(*inputs)
2025-08-26T20:24:52.2996412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2996529Z     features = self.features(x)
2025-08-26T20:24:52.2996748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2996826Z     new_features = layer(features)
2025-08-26T20:24:52.2997042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2997182Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2997185Z 
2025-08-26T20:24:52.2997299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2997495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2997571Z     return mod(*inputs)
2025-08-26T20:24:52.2997791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2997864Z     features = self.features(x)
2025-08-26T20:24:52.2998092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2998169Z     new_features = layer(features)
2025-08-26T20:24:52.2998394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.2998527Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.2998533Z 
2025-08-26T20:24:52.2998645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.2998842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.2998910Z     return mod(*inputs)
2025-08-26T20:24:52.2999137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.2999209Z     features = self.features(x)
2025-08-26T20:24:52.2999435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.2999511Z     new_features = layer(features)
2025-08-26T20:24:52.2999726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.2999840Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3000095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.3000194Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.3000197Z 
2025-08-26T20:24:52.3000302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3000499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3000574Z     return mod(*inputs)
2025-08-26T20:24:52.3000792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3000871Z     features = self.features(x)
2025-08-26T20:24:52.3001094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3001167Z     new_features = layer(features)
2025-08-26T20:24:52.3001388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3001496Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3001727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3001895Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3001899Z 
2025-08-26T20:24:52.3002009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3002203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3002269Z     return mod(*inputs)
2025-08-26T20:24:52.3002495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3002608Z     features = self.features(x)
2025-08-26T20:24:52.3002845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3002922Z     new_features = layer(features)
2025-08-26T20:24:52.3003154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3003271Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3003518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3003693Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3003697Z 
2025-08-26T20:24:52.3003801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3004005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3004076Z     return mod(*inputs)
2025-08-26T20:24:52.3004294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3004374Z     features = self.features(x)
2025-08-26T20:24:52.3004594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3004676Z     new_features = layer(features)
2025-08-26T20:24:52.3004891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3005026Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3005029Z 
2025-08-26T20:24:52.3005142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3005338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3005418Z     return mod(*inputs)
2025-08-26T20:24:52.3005635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3005706Z     features = self.features(x)
2025-08-26T20:24:52.3005929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3006034Z     new_features = layer(features)
2025-08-26T20:24:52.3006260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3006395Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3006398Z 
2025-08-26T20:24:52.3006707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3006921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3006990Z     return mod(*inputs)
2025-08-26T20:24:52.3007222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3007304Z     features = self.features(x)
2025-08-26T20:24:52.3007532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3007609Z     new_features = layer(features)
2025-08-26T20:24:52.3007844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3008092Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3008337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.3008439Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.3008442Z 
2025-08-26T20:24:52.3008553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3008771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3008918Z     return mod(*inputs)
2025-08-26T20:24:52.3009151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3009235Z     features = self.features(x)
2025-08-26T20:24:52.3009470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3009554Z     new_features = layer(features)
2025-08-26T20:24:52.3009784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3009897Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3010147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3010332Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3010335Z 
2025-08-26T20:24:52.3010459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3010668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3010740Z     return mod(*inputs)
2025-08-26T20:24:52.3010982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3011064Z     features = self.features(x)
2025-08-26T20:24:52.3011305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3011383Z     new_features = layer(features)
2025-08-26T20:24:52.3011624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3011738Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3011979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3012172Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3012175Z 
2025-08-26T20:24:52.3012287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3012581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3012708Z     return mod(*inputs)
2025-08-26T20:24:52.3012945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3013032Z     features = self.features(x)
2025-08-26T20:24:52.3013266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3013354Z     new_features = layer(features)
2025-08-26T20:24:52.3013593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3013744Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3013759Z 
2025-08-26T20:24:52.3013876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3014100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3014182Z     return mod(*inputs)
2025-08-26T20:24:52.3014417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3014502Z     features = self.features(x)
2025-08-26T20:24:52.3014733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3014811Z     new_features = layer(features)
2025-08-26T20:24:52.3015050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3015191Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3015194Z 
2025-08-26T20:24:52.3015346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3015552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3015623Z     return mod(*inputs)
2025-08-26T20:24:52.3015861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3015945Z     features = self.features(x)
2025-08-26T20:24:52.3016184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3016261Z     new_features = layer(features)
2025-08-26T20:24:52.3016496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3016610Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3016850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.3016956Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.3016959Z 
2025-08-26T20:24:52.3017069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3017287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3017358Z     return mod(*inputs)
2025-08-26T20:24:52.3017591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3017675Z     features = self.features(x)
2025-08-26T20:24:52.3017906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3017992Z     new_features = layer(features)
2025-08-26T20:24:52.3018220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3018333Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3018583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3018765Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3018768Z 
2025-08-26T20:24:52.3018889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3019126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3019207Z     return mod(*inputs)
2025-08-26T20:24:52.3019439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3019515Z     features = self.features(x)
2025-08-26T20:24:52.3019752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3019830Z     new_features = layer(features)
2025-08-26T20:24:52.3020065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3020181Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3020422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3020612Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3020616Z 
2025-08-26T20:24:52.3020726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3020939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3021010Z     return mod(*inputs)
2025-08-26T20:24:52.3021247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3021323Z     features = self.features(x)
2025-08-26T20:24:52.3021553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3021673Z     new_features = layer(features)
2025-08-26T20:24:52.3021911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3022061Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3022065Z 
2025-08-26T20:24:52.3022179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3022393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3022471Z     return mod(*inputs)
2025-08-26T20:24:52.3022706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3022789Z     features = self.features(x)
2025-08-26T20:24:52.3023034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3023106Z     new_features = layer(features)
2025-08-26T20:24:52.3023339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3023472Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3023475Z 
2025-08-26T20:24:52.3023590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3023804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3023882Z     return mod(*inputs)
2025-08-26T20:24:52.3024120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3024196Z     features = self.features(x)
2025-08-26T20:24:52.3024441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3024518Z     new_features = layer(features)
2025-08-26T20:24:52.3024759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3024875Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3025121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-26T20:24:52.3025220Z     concated_features = torch.cat(inputs, 1)
2025-08-26T20:24:52.3025223Z 
2025-08-26T20:24:52.3025369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3025587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3025658Z     return mod(*inputs)
2025-08-26T20:24:52.3025886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3025970Z     features = self.features(x)
2025-08-26T20:24:52.3026201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3026312Z     new_features = layer(features)
2025-08-26T20:24:52.3026539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3026657Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3026900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3027069Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3027073Z 
2025-08-26T20:24:52.3027186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3027383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3027458Z     return mod(*inputs)
2025-08-26T20:24:52.3027678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3027751Z     features = self.features(x)
2025-08-26T20:24:52.3028025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3028100Z     new_features = layer(features)
2025-08-26T20:24:52.3028324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-26T20:24:52.3028434Z     bottleneck_output = self.bn_function(prev_features)
2025-08-26T20:24:52.3028663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-26T20:24:52.3028843Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-26T20:24:52.3028846Z 
2025-08-26T20:24:52.3028951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3029156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3029222Z     return mod(*inputs)
2025-08-26T20:24:52.3029450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3029522Z     features = self.features(x)
2025-08-26T20:24:52.3029740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3029820Z     new_features = layer(features)
2025-08-26T20:24:52.3030040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3030183Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3030186Z 
2025-08-26T20:24:52.3030289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3030488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3030563Z     return mod(*inputs)
2025-08-26T20:24:52.3030784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3030866Z     features = self.features(x)
2025-08-26T20:24:52.3031085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-26T20:24:52.3031165Z     new_features = layer(features)
2025-08-26T20:24:52.3031412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-26T20:24:52.3031548Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-26T20:24:52.3031552Z 
2025-08-26T20:24:52.3031648Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3031732Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3031822Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3031901Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3031979Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3032065Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3032148Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3032260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3032460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3032529Z     return mod(*inputs)
2025-08-26T20:24:52.3032760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-26T20:24:52.3032833Z     features = self.features(x)
2025-08-26T20:24:52.3033059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-26T20:24:52.3033136Z     return torch.cat(features, 1)
2025-08-26T20:24:52.3033139Z 
2025-08-26T20:24:52.3033218Z cudagraph partition due to non gpu ops
2025-08-26T20:24:52.3033329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3033524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3033630Z     return mod(*inputs)
2025-08-26T20:24:52.3033851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-08-26T20:24:52.3033939Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-08-26T20:24:52.3033942Z 
2025-08-26T20:24:52.3034052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:24:52.3034247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:24:52.3034321Z     return mod(*inputs)
2025-08-26T20:24:52.3034542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 217, in forward
2025-08-26T20:24:52.3034620Z     out = self.classifier(out)
2025-08-26T20:24:52.3034630Z 
2025-08-26T20:25:09.3817283Z Compilation time (from dynamo_timed): 35.352553824
2025-08-26T20:25:09.3821605Z pass
2025-08-26T20:25:09.3823443Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:25:09.3826446Z TIMING: _recursive_pre_grad_passes:0.01335 _recursive_joint_graph_passes:0.54514 _recursive_post_grad_passes:0.22209 async_compile.wait:0.61726 code_gen:17.32255 inductor_compile:20.79813 backend_compile:27.34698 gc:0.00116 entire_frame_compile:35.35255 total_wall_time:35.35255
2025-08-26T20:25:09.3827648Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:24930 | FakeTensor.__torch_dispatch__:13782 | ProxyTorchDispatchMode.__torch_dispatch__:10672
2025-08-26T20:25:09.3828213Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-08-26T20:25:14.4900207Z 
2025-08-26T20:25:14.7066052Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:25:14.7066690Z   what():  std::bad_array_new_length
2025-08-26T20:27:28.4101346Z Run failed with return code:  -6
2025-08-26T20:27:28.4105478Z Output:  None
2025-08-26T20:27:28.4105991Z Error:  None
2025-08-26T20:27:31.1067348Z 
2025-08-26T20:27:31.3235650Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:27:31.3236103Z   what():  std::bad_array_new_length
2025-08-26T20:29:45.8360517Z Run failed with return code:  -6
2025-08-26T20:29:45.8360971Z Output:  None
2025-08-26T20:29:45.8364102Z Error:  None
2025-08-26T20:29:48.5337003Z 
2025-08-26T20:29:48.7483548Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:29:48.7489850Z   what():  std::bad_array_new_length
2025-08-26T20:32:06.5726622Z Run failed with return code:  -6
2025-08-26T20:32:06.5726945Z Output:  None
2025-08-26T20:32:06.5727338Z Error:  None
2025-08-26T20:32:09.1810693Z 
2025-08-26T20:32:09.3993628Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:32:09.3994049Z   what():  std::bad_array_new_length
2025-08-26T20:34:26.2965628Z Run failed with return code:  -6
2025-08-26T20:34:26.2968150Z Output:  None
2025-08-26T20:34:26.2968451Z Error:  None
2025-08-26T20:34:29.0229952Z 
2025-08-26T20:34:29.2503208Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:34:29.2503645Z   what():  std::bad_array_new_length
2025-08-26T20:36:49.4237254Z Run failed with return code:  -6
2025-08-26T20:36:49.4241428Z Output:  None
2025-08-26T20:36:49.4244950Z Error:  None
2025-08-26T20:36:52.1230021Z 
2025-08-26T20:36:52.3400562Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:36:52.3403083Z   what():  std::bad_array_new_length
2025-08-26T20:39:11.9653367Z Run failed with return code:  -6
2025-08-26T20:39:11.9655633Z Output:  None
2025-08-26T20:39:11.9657738Z Error:  None
2025-08-26T20:39:14.5657394Z 
2025-08-26T20:39:14.7877381Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:39:14.7878249Z   what():  std::bad_array_new_length
2025-08-26T20:41:31.4961429Z Run failed with return code:  -6
2025-08-26T20:41:31.4965424Z Output:  None
2025-08-26T20:41:31.4967550Z Error:  None
2025-08-26T20:41:33.8649001Z 
2025-08-26T20:41:34.0689469Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:41:34.0690186Z   what():  std::bad_array_new_length
2025-08-26T20:43:35.1299235Z Run failed with return code:  -6
2025-08-26T20:43:35.1301759Z Output:  None
2025-08-26T20:43:35.1301991Z Error:  None
2025-08-26T20:43:37.4836157Z 
2025-08-26T20:43:37.6885856Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:43:37.6886534Z   what():  std::bad_array_new_length
2025-08-26T20:45:40.3251433Z Run failed with return code:  -6
2025-08-26T20:45:40.3253618Z Output:  None
2025-08-26T20:45:40.3255596Z Error:  None
2025-08-26T20:45:42.8004087Z 
2025-08-26T20:45:43.0134930Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:45:43.0135616Z   what():  std::bad_array_new_length
2025-08-26T20:47:52.0062575Z Run failed with return code:  -6
2025-08-26T20:47:52.0067049Z Output:  None
2025-08-26T20:47:52.0071224Z Error:  None
2025-08-26T20:47:54.4683043Z 
2025-08-26T20:47:54.6722349Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-26T20:47:54.6722987Z   what():  std::bad_array_new_length
2025-08-26T20:50:01.7776934Z Run failed with return code:  -6
2025-08-26T20:50:01.7777486Z Output:  None
2025-08-26T20:50:01.7777680Z Error:  None
2025-08-26T20:50:04.2022199Z 
2025-08-26T20:50:10.5816906Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:50:10.5817486Z loading model: 0it [00:06, ?it/s]
2025-08-26T20:50:10.5821376Z cpu  eval  dlrm                               
2025-08-26T20:50:11.1009596Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:11.2852350Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:11.4761701Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:14.1410731Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1411230Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1412019Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1418377Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1420160Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1420478Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1420734Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1421090Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1425972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1432016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1436287Z     return mod(*inputs)
2025-08-26T20:50:14.1440911Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1443131Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1448124Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-26T20:50:14.1448664Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-26T20:50:14.1449074Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1449391Z     return layers(x)
2025-08-26T20:50:14.1449641Z 
2025-08-26T20:50:14.1449994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1450431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1450765Z     return mod(*inputs)
2025-08-26T20:50:14.1451060Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1462919Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1463544Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1468119Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1471154Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1476455Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1480816Z 
2025-08-26T20:50:14.1484258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1484677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1485020Z     return mod(*inputs)
2025-08-26T20:50:14.1485340Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1485696Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1486108Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1486507Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1486881Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1487495Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1487695Z 
2025-08-26T20:50:14.1487829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1488244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1488617Z     return mod(*inputs)
2025-08-26T20:50:14.1488951Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1489342Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1489750Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1490159Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1490531Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1490927Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1491163Z 
2025-08-26T20:50:14.1491286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1491856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1492235Z     return mod(*inputs)
2025-08-26T20:50:14.1492656Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1493061Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1493454Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1493853Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1494216Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1494609Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1494793Z 
2025-08-26T20:50:14.1494914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1495315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1495685Z     return mod(*inputs)
2025-08-26T20:50:14.1496003Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1496377Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1496762Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1497144Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1497508Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1497891Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1498139Z 
2025-08-26T20:50:14.1498256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1498657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1499013Z     return mod(*inputs)
2025-08-26T20:50:14.1499325Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1499698Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1500081Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1500465Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1500827Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1501208Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1501389Z 
2025-08-26T20:50:14.1501518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1501904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1502268Z     return mod(*inputs)
2025-08-26T20:50:14.1502583Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1502949Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1503323Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1503692Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1504047Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1504416Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1504588Z 
2025-08-26T20:50:14.1504708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1505083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1505435Z     return mod(*inputs)
2025-08-26T20:50:14.1505733Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1506093Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1506785Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-26T20:50:14.1507189Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-26T20:50:14.1507548Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-26T20:50:14.1507930Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-26T20:50:14.1508108Z 
2025-08-26T20:50:14.1508236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1508626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1508985Z     return mod(*inputs)
2025-08-26T20:50:14.1509301Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1509676Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1510066Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-26T20:50:14.1510447Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-26T20:50:14.1510806Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1511144Z     return layers(x)
2025-08-26T20:50:14.1511262Z 
2025-08-26T20:50:14.1511384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1511771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1512124Z     return mod(*inputs)
2025-08-26T20:50:14.1512429Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1512800Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1513248Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-26T20:50:14.1513596Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-26T20:50:14.1513908Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1514209Z     return layers(x)
2025-08-26T20:50:14.1514312Z 
2025-08-26T20:50:14.1514405Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1514616Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1514829Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1515036Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1515242Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1515443Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1515649Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1515856Z cudagraph partition due to non gpu ops
2025-08-26T20:50:14.1516088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1516429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1516745Z     return mod(*inputs)
2025-08-26T20:50:14.1517015Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1517346Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1517684Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:14.1518013Z     z = self.interact_features(x, ly)
2025-08-26T20:50:14.1518337Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-08-26T20:50:14.1518705Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-08-26T20:50:14.1518863Z 
2025-08-26T20:50:14.1518974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1519315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1519634Z     return mod(*inputs)
2025-08-26T20:50:14.1519906Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1520236Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1520623Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:14.1520954Z     z = self.interact_features(x, ly)
2025-08-26T20:50:14.1521275Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-08-26T20:50:14.1521611Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-08-26T20:50:14.1521751Z 
2025-08-26T20:50:14.1521861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1522201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1522517Z     return mod(*inputs)
2025-08-26T20:50:14.1522821Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1523153Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1523497Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:14.1523874Z     z = self.interact_features(x, ly)
2025-08-26T20:50:14.1524196Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-08-26T20:50:14.1524508Z     Zflat = Z[:, li, lj]
2025-08-26T20:50:14.1524614Z 
2025-08-26T20:50:14.1524722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1525059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1525369Z     return mod(*inputs)
2025-08-26T20:50:14.1525637Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1525959Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1526361Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-26T20:50:14.1526685Z     z = self.interact_features(x, ly)
2025-08-26T20:50:14.1527004Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-08-26T20:50:14.1527325Z     R = torch.cat([x] + [Zflat], dim=1)
2025-08-26T20:50:14.1527455Z 
2025-08-26T20:50:14.1527564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1527900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1528209Z     return mod(*inputs)
2025-08-26T20:50:14.1528477Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1528801Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1529137Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1529472Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1529784Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1530087Z     return layers(x)
2025-08-26T20:50:14.1530188Z 
2025-08-26T20:50:14.1530297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1530646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1530965Z     return mod(*inputs)
2025-08-26T20:50:14.1531240Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1531571Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1531914Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1532245Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1532618Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1532941Z     return layers(x)
2025-08-26T20:50:14.1533043Z 
2025-08-26T20:50:14.1533155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1533530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1533885Z     return mod(*inputs)
2025-08-26T20:50:14.1534256Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1534630Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1534971Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1535301Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1535608Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1535909Z     return layers(x)
2025-08-26T20:50:14.1536009Z 
2025-08-26T20:50:14.1536122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1536474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1536793Z     return mod(*inputs)
2025-08-26T20:50:14.1537073Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1537408Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1537757Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1538090Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1538401Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1538700Z     return layers(x)
2025-08-26T20:50:14.1538800Z 
2025-08-26T20:50:14.1538904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1539258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1539613Z     return mod(*inputs)
2025-08-26T20:50:14.1539892Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1540226Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1540567Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1540902Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1541213Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1541513Z     return layers(x)
2025-08-26T20:50:14.1541614Z 
2025-08-26T20:50:14.1541717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1542069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1542386Z     return mod(*inputs)
2025-08-26T20:50:14.1542660Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1542993Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1543336Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1543665Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1543973Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1544273Z     return layers(x)
2025-08-26T20:50:14.1544372Z 
2025-08-26T20:50:14.1544475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1544827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1545145Z     return mod(*inputs)
2025-08-26T20:50:14.1545420Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1545750Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1546091Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1546423Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1546730Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1547029Z     return layers(x)
2025-08-26T20:50:14.1547127Z 
2025-08-26T20:50:14.1547230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:50:14.1547618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:50:14.1547945Z     return mod(*inputs)
2025-08-26T20:50:14.1548229Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-26T20:50:14.1548572Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-26T20:50:14.1548899Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-26T20:50:14.1549217Z     p = self.apply_mlp(z, self.top_l)
2025-08-26T20:50:14.1549514Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-26T20:50:14.1549806Z     return layers(x)
2025-08-26T20:50:14.1549900Z 
2025-08-26T20:50:20.9368737Z Compilation time (from dynamo_timed): 8.274441457
2025-08-26T20:50:20.9369034Z pass
2025-08-26T20:50:20.9376202Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:20.9380972Z TIMING: _recursive_pre_grad_passes:0.00393 _recursive_joint_graph_passes:0.12088 _recursive_post_grad_passes:0.0184 async_compile.wait:0.51003 code_gen:6.62674 inductor_compile:7.00737 backend_compile:7.88501 gc:0.00081 entire_frame_compile:8.27444 total_wall_time:8.27444
2025-08-26T20:50:20.9382257Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:1821 | FakeTensor.__torch_dispatch__:365 | ProxyTorchDispatchMode.__torch_dispatch__:500
2025-08-26T20:50:20.9382832Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-08-26T20:50:24.9118672Z 
2025-08-26T20:50:25.9473667Z 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
2025-08-26T20:50:26.2707601Z 
2025-08-26T20:50:26.2707692Z 
2025-08-26T20:50:26.3707692Z   0% 0/102021912 [00:00<?, ?it/s]
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2025-08-26T20:50:26.4710270Z  34% 34297856/102021912 [00:00<00:00, 342978069.37it/s]
2025-08-26T20:50:26.4714760Z 
2025-08-26T20:50:26.5247334Z  76% 78036992/102021912 [00:00<00:00, 398498723.62it/s]
2025-08-26T20:50:26.5250280Z 102022144it [00:00, 402992066.27it/s]                  
2025-08-26T20:50:27.6633118Z 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
2025-08-26T20:50:27.9769546Z 
2025-08-26T20:50:27.9769599Z 
2025-08-26T20:50:28.0769636Z   0% 0/63286381 [00:00<?, ?it/s]
2025-08-26T20:50:28.0769882Z 
2025-08-26T20:50:28.1300133Z  63% 39962624/63286381 [00:00<00:00, 399617093.49it/s]
2025-08-26T20:50:28.1301191Z 63287296it [00:00, 415654579.33it/s]                  
2025-08-26T20:50:30.8680519Z 
2025-08-26T20:50:30.8685355Z loading model: 0it [00:05, ?it/s]
2025-08-26T20:50:30.8691075Z cpu  eval  doctr_det_predictor                
2025-08-26T20:50:47.2575913Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:50.8828399Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:50:54.4178895Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:09.4009708Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4010091Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4010321Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4010545Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4010752Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4011014Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4011233Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4011465Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4011703Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4011942Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4012175Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4012988Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4013253Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4013498Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4013735Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4013979Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4014212Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4014453Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4014682Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4014912Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4015140Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4015375Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4015608Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4015839Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4016109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4016694Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4017201Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4017600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4017980Z     x = module(x)
2025-08-26T20:51:09.4018091Z 
2025-08-26T20:51:09.4018211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4018779Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4019365Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4019738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4020112Z     x = module(x)
2025-08-26T20:51:09.4020217Z 
2025-08-26T20:51:09.4020332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4020855Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4021330Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4021718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4022085Z     x = module(x)
2025-08-26T20:51:09.4022197Z 
2025-08-26T20:51:09.4022313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4022831Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4023308Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4023679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4024068Z     x = module(x)
2025-08-26T20:51:09.4024411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4024782Z     out = self.conv1(x)
2025-08-26T20:51:09.4024902Z 
2025-08-26T20:51:09.4025014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4025516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4025985Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4026357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4026723Z     x = module(x)
2025-08-26T20:51:09.4027051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4027430Z     out = self.relu(out)
2025-08-26T20:51:09.4027573Z 
2025-08-26T20:51:09.4027688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4028290Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4028765Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4029139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4029512Z     x = module(x)
2025-08-26T20:51:09.4029867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4030244Z     out = self.conv2(out)
2025-08-26T20:51:09.4030371Z 
2025-08-26T20:51:09.4030487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4030971Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4031409Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4031756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4032093Z     x = module(x)
2025-08-26T20:51:09.4032402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4032746Z     out = self.relu(out)
2025-08-26T20:51:09.4032874Z 
2025-08-26T20:51:09.4032990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4033464Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4033913Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4034297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4034635Z     x = module(x)
2025-08-26T20:51:09.4034949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4035298Z     out = self.conv3(out)
2025-08-26T20:51:09.4035415Z 
2025-08-26T20:51:09.4035524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4036003Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4036446Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4036801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4037136Z     x = module(x)
2025-08-26T20:51:09.4037445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:09.4037807Z     identity = self.downsample(x)
2025-08-26T20:51:09.4037947Z 
2025-08-26T20:51:09.4038055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4038529Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4038973Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4039310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4039645Z     x = module(x)
2025-08-26T20:51:09.4039964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4040309Z     out = self.conv1(x)
2025-08-26T20:51:09.4040418Z 
2025-08-26T20:51:09.4040524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4040993Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4041460Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4041826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4042232Z     x = module(x)
2025-08-26T20:51:09.4042607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4042977Z     out = self.relu(out)
2025-08-26T20:51:09.4043102Z 
2025-08-26T20:51:09.4043215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4043714Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4044153Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4044496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4044839Z     x = module(x)
2025-08-26T20:51:09.4045154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4045501Z     out = self.conv2(out)
2025-08-26T20:51:09.4045613Z 
2025-08-26T20:51:09.4045723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4046196Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4046636Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4046976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4047308Z     x = module(x)
2025-08-26T20:51:09.4047616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4047960Z     out = self.relu(out)
2025-08-26T20:51:09.4048068Z 
2025-08-26T20:51:09.4048181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4048695Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4049126Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4049471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4049809Z     x = module(x)
2025-08-26T20:51:09.4050127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4050475Z     out = self.conv3(out)
2025-08-26T20:51:09.4050587Z 
2025-08-26T20:51:09.4050693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4051164Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4051607Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4051957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4052303Z     x = module(x)
2025-08-26T20:51:09.4052734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4053115Z     out = self.relu(out)
2025-08-26T20:51:09.4053234Z 
2025-08-26T20:51:09.4053363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4053880Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4054354Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4054721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4055057Z     x = module(x)
2025-08-26T20:51:09.4055374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4055728Z     out = self.conv1(x)
2025-08-26T20:51:09.4055839Z 
2025-08-26T20:51:09.4055947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4056420Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4056894Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4057246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4057578Z     x = module(x)
2025-08-26T20:51:09.4057895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4058240Z     out = self.relu(out)
2025-08-26T20:51:09.4058348Z 
2025-08-26T20:51:09.4058462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4058935Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4059375Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4059720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4060056Z     x = module(x)
2025-08-26T20:51:09.4060377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4060721Z     out = self.conv2(out)
2025-08-26T20:51:09.4060841Z 
2025-08-26T20:51:09.4060946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4061416Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4061855Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4062198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4062565Z     x = module(x)
2025-08-26T20:51:09.4062880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4063223Z     out = self.relu(out)
2025-08-26T20:51:09.4063330Z 
2025-08-26T20:51:09.4063442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4063914Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4064350Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4064688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4065019Z     x = module(x)
2025-08-26T20:51:09.4065331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4065673Z     out = self.conv3(out)
2025-08-26T20:51:09.4065790Z 
2025-08-26T20:51:09.4065897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4066373Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4066810Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4067159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4067489Z     x = module(x)
2025-08-26T20:51:09.4067806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4068153Z     out = self.relu(out)
2025-08-26T20:51:09.4068260Z 
2025-08-26T20:51:09.4068373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4068843Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4069364Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4069703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4070030Z     x = module(x)
2025-08-26T20:51:09.4070335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4070662Z     out = self.conv1(x)
2025-08-26T20:51:09.4070773Z 
2025-08-26T20:51:09.4070917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4071379Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4071810Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4072145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4072465Z     x = module(x)
2025-08-26T20:51:09.4072772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4073108Z     out = self.relu(out)
2025-08-26T20:51:09.4073213Z 
2025-08-26T20:51:09.4073322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4073774Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4074208Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4074543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4074874Z     x = module(x)
2025-08-26T20:51:09.4075181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4075510Z     out = self.conv2(out)
2025-08-26T20:51:09.4075626Z 
2025-08-26T20:51:09.4075730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4076191Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4076663Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4076998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4077320Z     x = module(x)
2025-08-26T20:51:09.4077631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4077968Z     out = self.relu(out)
2025-08-26T20:51:09.4078074Z 
2025-08-26T20:51:09.4078183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4078637Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4079070Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4079401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4079733Z     x = module(x)
2025-08-26T20:51:09.4080039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4080373Z     out = self.conv3(out)
2025-08-26T20:51:09.4080486Z 
2025-08-26T20:51:09.4080590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4081051Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4081480Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4081806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4082133Z     x = module(x)
2025-08-26T20:51:09.4082442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:09.4082795Z     identity = self.downsample(x)
2025-08-26T20:51:09.4082922Z 
2025-08-26T20:51:09.4083036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4083488Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4083922Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4084314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4084649Z     x = module(x)
2025-08-26T20:51:09.4084960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4085291Z     out = self.conv1(x)
2025-08-26T20:51:09.4085406Z 
2025-08-26T20:51:09.4085509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4085971Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4086403Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4086744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4087063Z     x = module(x)
2025-08-26T20:51:09.4087366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4087713Z     out = self.relu(out)
2025-08-26T20:51:09.4087817Z 
2025-08-26T20:51:09.4088065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4088524Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4088958Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4089293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4089625Z     x = module(x)
2025-08-26T20:51:09.4089936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4090309Z     out = self.conv2(out)
2025-08-26T20:51:09.4090425Z 
2025-08-26T20:51:09.4090529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4091004Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4091452Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4091786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4092124Z     x = module(x)
2025-08-26T20:51:09.4092553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4092942Z     out = self.relu(out)
2025-08-26T20:51:09.4093061Z 
2025-08-26T20:51:09.4093184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4093702Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4094188Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4094563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4094897Z     x = module(x)
2025-08-26T20:51:09.4095208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4095543Z     out = self.conv3(out)
2025-08-26T20:51:09.4095661Z 
2025-08-26T20:51:09.4095768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4096235Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4096666Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4096994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4097329Z     x = module(x)
2025-08-26T20:51:09.4097637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4097976Z     out = self.relu(out)
2025-08-26T20:51:09.4098081Z 
2025-08-26T20:51:09.4098192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4099566Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4100019Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4100355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4100682Z     x = module(x)
2025-08-26T20:51:09.4100984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4101322Z     out = self.conv1(x)
2025-08-26T20:51:09.4101436Z 
2025-08-26T20:51:09.4101546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4102007Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4102433Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4102762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4103093Z     x = module(x)
2025-08-26T20:51:09.4103398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4103734Z     out = self.relu(out)
2025-08-26T20:51:09.4103839Z 
2025-08-26T20:51:09.4103949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4104399Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4104847Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4105223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4105550Z     x = module(x)
2025-08-26T20:51:09.4105847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4106183Z     out = self.conv2(out)
2025-08-26T20:51:09.4106298Z 
2025-08-26T20:51:09.4106404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4107074Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4107507Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4107833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4108166Z     x = module(x)
2025-08-26T20:51:09.4108476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4108820Z     out = self.relu(out)
2025-08-26T20:51:09.4108927Z 
2025-08-26T20:51:09.4109031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4109491Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4109927Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4110266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4110595Z     x = module(x)
2025-08-26T20:51:09.4110897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4111234Z     out = self.conv3(out)
2025-08-26T20:51:09.4111347Z 
2025-08-26T20:51:09.4111451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4111911Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4112344Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4112673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4113003Z     x = module(x)
2025-08-26T20:51:09.4113406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4113746Z     out = self.relu(out)
2025-08-26T20:51:09.4113851Z 
2025-08-26T20:51:09.4113954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4114413Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4114841Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4115178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4115513Z     x = module(x)
2025-08-26T20:51:09.4115819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4116138Z     out = self.conv1(x)
2025-08-26T20:51:09.4116244Z 
2025-08-26T20:51:09.4116342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4116780Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4117190Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4117501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4117812Z     x = module(x)
2025-08-26T20:51:09.4118103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4118426Z     out = self.relu(out)
2025-08-26T20:51:09.4118526Z 
2025-08-26T20:51:09.4118623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4119110Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4119515Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4119838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4120146Z     x = module(x)
2025-08-26T20:51:09.4120429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4120753Z     out = self.conv2(out)
2025-08-26T20:51:09.4120861Z 
2025-08-26T20:51:09.4120960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4121394Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4121801Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4122110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4122418Z     x = module(x)
2025-08-26T20:51:09.4122710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4123028Z     out = self.relu(out)
2025-08-26T20:51:09.4123129Z 
2025-08-26T20:51:09.4123229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4123663Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4124070Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4124387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4124696Z     x = module(x)
2025-08-26T20:51:09.4124980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4125303Z     out = self.conv3(out)
2025-08-26T20:51:09.4125403Z 
2025-08-26T20:51:09.4125508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4125943Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4126373Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4126695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4127011Z     x = module(x)
2025-08-26T20:51:09.4127301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4127622Z     out = self.relu(out)
2025-08-26T20:51:09.4127723Z 
2025-08-26T20:51:09.4127819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4128256Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4128667Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4128985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4129297Z     x = module(x)
2025-08-26T20:51:09.4129585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4129904Z     out = self.conv1(x)
2025-08-26T20:51:09.4130003Z 
2025-08-26T20:51:09.4130107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4130550Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4130955Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4131337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4131713Z     x = module(x)
2025-08-26T20:51:09.4132015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4132345Z     out = self.relu(out)
2025-08-26T20:51:09.4132523Z 
2025-08-26T20:51:09.4132640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4133162Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4133640Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4134009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4134367Z     x = module(x)
2025-08-26T20:51:09.4134702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4135074Z     out = self.conv2(out)
2025-08-26T20:51:09.4135193Z 
2025-08-26T20:51:09.4135316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4135826Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4136284Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4136654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4137017Z     x = module(x)
2025-08-26T20:51:09.4137350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4137707Z     out = self.relu(out)
2025-08-26T20:51:09.4137830Z 
2025-08-26T20:51:09.4137942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4138442Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4138906Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4139282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4139639Z     x = module(x)
2025-08-26T20:51:09.4139972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4140341Z     out = self.conv3(out)
2025-08-26T20:51:09.4140458Z 
2025-08-26T20:51:09.4140621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4141123Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4141589Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4141949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4142315Z     x = module(x)
2025-08-26T20:51:09.4142648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:09.4143018Z     identity = self.downsample(x)
2025-08-26T20:51:09.4143165Z 
2025-08-26T20:51:09.4143276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4143778Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4144257Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4144616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4144977Z     x = module(x)
2025-08-26T20:51:09.4145310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4145679Z     out = self.conv1(x)
2025-08-26T20:51:09.4145792Z 
2025-08-26T20:51:09.4145917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4146388Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4146862Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4147206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4147541Z     x = module(x)
2025-08-26T20:51:09.4147858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4148199Z     out = self.relu(out)
2025-08-26T20:51:09.4148318Z 
2025-08-26T20:51:09.4148423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4148895Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4149342Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4149683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4150014Z     x = module(x)
2025-08-26T20:51:09.4150332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4150682Z     out = self.conv2(out)
2025-08-26T20:51:09.4150793Z 
2025-08-26T20:51:09.4150905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4151373Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4151817Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4152159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4152494Z     x = module(x)
2025-08-26T20:51:09.4152813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4153150Z     out = self.relu(out)
2025-08-26T20:51:09.4153274Z 
2025-08-26T20:51:09.4153383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4153851Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4154291Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4154670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4155006Z     x = module(x)
2025-08-26T20:51:09.4155322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4155672Z     out = self.conv3(out)
2025-08-26T20:51:09.4155784Z 
2025-08-26T20:51:09.4155895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4156359Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4156790Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4157123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4157444Z     x = module(x)
2025-08-26T20:51:09.4157744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4158067Z     out = self.relu(out)
2025-08-26T20:51:09.4158183Z 
2025-08-26T20:51:09.4158283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4158730Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4159146Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4159468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4159780Z     x = module(x)
2025-08-26T20:51:09.4160074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4160437Z     out = self.conv1(x)
2025-08-26T20:51:09.4160539Z 
2025-08-26T20:51:09.4160645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4161083Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4161501Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4161825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4162142Z     x = module(x)
2025-08-26T20:51:09.4162440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4162761Z     out = self.relu(out)
2025-08-26T20:51:09.4162872Z 
2025-08-26T20:51:09.4162973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4163421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4163840Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4164160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4164480Z     x = module(x)
2025-08-26T20:51:09.4164782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4165112Z     out = self.conv2(out)
2025-08-26T20:51:09.4165219Z 
2025-08-26T20:51:09.4165325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4165763Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4166184Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4166512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4166835Z     x = module(x)
2025-08-26T20:51:09.4167137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4167458Z     out = self.relu(out)
2025-08-26T20:51:09.4167567Z 
2025-08-26T20:51:09.4167667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4168154Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4168579Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4168901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4169228Z     x = module(x)
2025-08-26T20:51:09.4169528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4169864Z     out = self.conv3(out)
2025-08-26T20:51:09.4169971Z 
2025-08-26T20:51:09.4170083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4170528Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4170953Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4171284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4171605Z     x = module(x)
2025-08-26T20:51:09.4171902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4172234Z     out = self.relu(out)
2025-08-26T20:51:09.4172346Z 
2025-08-26T20:51:09.4172539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4173015Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4173459Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4173845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4174188Z     x = module(x)
2025-08-26T20:51:09.4174515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4174884Z     out = self.conv1(x)
2025-08-26T20:51:09.4175005Z 
2025-08-26T20:51:09.4175120Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4175591Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4176036Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4176381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4176717Z     x = module(x)
2025-08-26T20:51:09.4177022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4177368Z     out = self.relu(out)
2025-08-26T20:51:09.4177481Z 
2025-08-26T20:51:09.4177586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4178053Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4178501Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4178835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4179174Z     x = module(x)
2025-08-26T20:51:09.4179488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4179834Z     out = self.conv2(out)
2025-08-26T20:51:09.4179945Z 
2025-08-26T20:51:09.4180059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4180525Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4180966Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4181309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4181644Z     x = module(x)
2025-08-26T20:51:09.4181990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4182341Z     out = self.relu(out)
2025-08-26T20:51:09.4182463Z 
2025-08-26T20:51:09.4182570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4183037Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4183480Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4183815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4184154Z     x = module(x)
2025-08-26T20:51:09.4184470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4184812Z     out = self.conv3(out)
2025-08-26T20:51:09.4184922Z 
2025-08-26T20:51:09.4185028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4185504Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4185941Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4186282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4186616Z     x = module(x)
2025-08-26T20:51:09.4186921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4187269Z     out = self.relu(out)
2025-08-26T20:51:09.4187385Z 
2025-08-26T20:51:09.4187539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4188008Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4188443Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4188755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4189065Z     x = module(x)
2025-08-26T20:51:09.4189355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4189673Z     out = self.conv1(x)
2025-08-26T20:51:09.4189771Z 
2025-08-26T20:51:09.4189872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4190308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4190715Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4191034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4191347Z     x = module(x)
2025-08-26T20:51:09.4191631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4191952Z     out = self.relu(out)
2025-08-26T20:51:09.4192058Z 
2025-08-26T20:51:09.4192160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4192592Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4192998Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4193306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4193615Z     x = module(x)
2025-08-26T20:51:09.4193905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4194227Z     out = self.conv2(out)
2025-08-26T20:51:09.4194330Z 
2025-08-26T20:51:09.4194427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4194860Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4195305Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4195623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4195935Z     x = module(x)
2025-08-26T20:51:09.4196218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4196537Z     out = self.relu(out)
2025-08-26T20:51:09.4196635Z 
2025-08-26T20:51:09.4196739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4197171Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4197573Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4197891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4198207Z     x = module(x)
2025-08-26T20:51:09.4198503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4198826Z     out = self.conv3(out)
2025-08-26T20:51:09.4198929Z 
2025-08-26T20:51:09.4199026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4199459Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4199864Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4200181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4200526Z     x = module(x)
2025-08-26T20:51:09.4200812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4201131Z     out = self.relu(out)
2025-08-26T20:51:09.4201231Z 
2025-08-26T20:51:09.4201337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4201786Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4202200Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4202553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4202879Z     x = module(x)
2025-08-26T20:51:09.4203169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4203490Z     out = self.conv1(x)
2025-08-26T20:51:09.4203589Z 
2025-08-26T20:51:09.4203687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4204127Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4204534Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4204853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4205157Z     x = module(x)
2025-08-26T20:51:09.4205449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4205767Z     out = self.relu(out)
2025-08-26T20:51:09.4205869Z 
2025-08-26T20:51:09.4205976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4206441Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4207005Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4207344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4207667Z     x = module(x)
2025-08-26T20:51:09.4207968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4208300Z     out = self.conv2(out)
2025-08-26T20:51:09.4208405Z 
2025-08-26T20:51:09.4208597Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4209044Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4209462Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4209784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4210093Z     x = module(x)
2025-08-26T20:51:09.4210396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4210730Z     out = self.relu(out)
2025-08-26T20:51:09.4210833Z 
2025-08-26T20:51:09.4210946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4211396Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4211811Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4212142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4212507Z     x = module(x)
2025-08-26T20:51:09.4212812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4213142Z     out = self.conv3(out)
2025-08-26T20:51:09.4213263Z 
2025-08-26T20:51:09.4213366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4213833Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4214376Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4214748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4215103Z     x = module(x)
2025-08-26T20:51:09.4215440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4215811Z     out = self.relu(out)
2025-08-26T20:51:09.4215918Z 
2025-08-26T20:51:09.4216029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4216508Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4216941Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4217287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4217626Z     x = module(x)
2025-08-26T20:51:09.4217938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4218278Z     out = self.conv1(x)
2025-08-26T20:51:09.4218393Z 
2025-08-26T20:51:09.4218497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4218969Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4219412Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4219755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4220083Z     x = module(x)
2025-08-26T20:51:09.4220400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4220743Z     out = self.relu(out)
2025-08-26T20:51:09.4220850Z 
2025-08-26T20:51:09.4220962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4221429Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4221866Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4222252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4222597Z     x = module(x)
2025-08-26T20:51:09.4222915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4223258Z     out = self.conv2(out)
2025-08-26T20:51:09.4223376Z 
2025-08-26T20:51:09.4223482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4223956Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4224395Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4237245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4237758Z     x = module(x)
2025-08-26T20:51:09.4238090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4238432Z     out = self.relu(out)
2025-08-26T20:51:09.4238542Z 
2025-08-26T20:51:09.4238683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4239145Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4239575Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4239915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4240237Z     x = module(x)
2025-08-26T20:51:09.4240540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4240986Z     out = self.conv3(out)
2025-08-26T20:51:09.4241105Z 
2025-08-26T20:51:09.4241210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4241663Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4242086Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4242415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4242726Z     x = module(x)
2025-08-26T20:51:09.4243025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 158, in forward
2025-08-26T20:51:09.4243360Z     identity = self.downsample(x)
2025-08-26T20:51:09.4243480Z 
2025-08-26T20:51:09.4243590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4244022Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4244441Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4244759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4245072Z     x = module(x)
2025-08-26T20:51:09.4245365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4245677Z     out = self.conv1(x)
2025-08-26T20:51:09.4245785Z 
2025-08-26T20:51:09.4245884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4246320Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4246728Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4247039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4247353Z     x = module(x)
2025-08-26T20:51:09.4247649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4247972Z     out = self.relu(out)
2025-08-26T20:51:09.4248076Z 
2025-08-26T20:51:09.4248183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4248671Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4249085Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4249404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4249719Z     x = module(x)
2025-08-26T20:51:09.4250013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4250334Z     out = self.conv2(out)
2025-08-26T20:51:09.4250448Z 
2025-08-26T20:51:09.4250552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4250999Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4251411Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4251730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4252046Z     x = module(x)
2025-08-26T20:51:09.4252476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4252861Z     out = self.relu(out)
2025-08-26T20:51:09.4252981Z 
2025-08-26T20:51:09.4253106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4253611Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4254046Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4254461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4254836Z     x = module(x)
2025-08-26T20:51:09.4255165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4255532Z     out = self.conv3(out)
2025-08-26T20:51:09.4255654Z 
2025-08-26T20:51:09.4255777Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4256295Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4256778Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4257161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4257533Z     x = module(x)
2025-08-26T20:51:09.4257875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4258268Z     out = self.relu(out)
2025-08-26T20:51:09.4258384Z 
2025-08-26T20:51:09.4258497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4259020Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4259513Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4259874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4260196Z     x = module(x)
2025-08-26T20:51:09.4260503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 146, in forward
2025-08-26T20:51:09.4260840Z     out = self.conv1(x)
2025-08-26T20:51:09.4260946Z 
2025-08-26T20:51:09.4261056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4261514Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4261941Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4262278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4262609Z     x = module(x)
2025-08-26T20:51:09.4262954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-26T20:51:09.4263289Z     out = self.relu(out)
2025-08-26T20:51:09.4263406Z 
2025-08-26T20:51:09.4263514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4263981Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4264413Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4264752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4265083Z     x = module(x)
2025-08-26T20:51:09.4265399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 150, in forward
2025-08-26T20:51:09.4265747Z     out = self.conv2(out)
2025-08-26T20:51:09.4265860Z 
2025-08-26T20:51:09.4265976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4266443Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4266872Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4267211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4267545Z     x = module(x)
2025-08-26T20:51:09.4267857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-26T20:51:09.4268193Z     out = self.relu(out)
2025-08-26T20:51:09.4268312Z 
2025-08-26T20:51:09.4268452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4268911Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4269336Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4269669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4269988Z     x = module(x)
2025-08-26T20:51:09.4270290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 154, in forward
2025-08-26T20:51:09.4270626Z     out = self.conv3(out)
2025-08-26T20:51:09.4270734Z 
2025-08-26T20:51:09.4270844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4271298Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-26T20:51:09.4271716Z     feats = self.feat_extractor(x)
2025-08-26T20:51:09.4272053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-26T20:51:09.4272379Z     x = module(x)
2025-08-26T20:51:09.4272684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-26T20:51:09.4273010Z     out = self.relu(out)
2025-08-26T20:51:09.4273125Z 
2025-08-26T20:51:09.4273233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4273688Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4274123Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4274544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:09.4275039Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4275528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:09.4276005Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4276188Z 
2025-08-26T20:51:09.4276295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4276767Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4277176Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4277573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:09.4278042Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4278522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:09.4278997Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4279180Z 
2025-08-26T20:51:09.4279279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4279723Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4280129Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4280528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:09.4280991Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4281454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:09.4281926Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4282160Z 
2025-08-26T20:51:09.4282259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4282700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4283115Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4283510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-26T20:51:09.4283934Z     out.append(self.upsample(out[-1]) + t)
2025-08-26T20:51:09.4284077Z 
2025-08-26T20:51:09.4284179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4284641Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4285074Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4285488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:09.4285974Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4286462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:09.4286944Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4287129Z 
2025-08-26T20:51:09.4287237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4287697Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4288135Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4288546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-26T20:51:09.4288980Z     out.append(self.upsample(out[-1]) + t)
2025-08-26T20:51:09.4289116Z 
2025-08-26T20:51:09.4289225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4289699Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4290125Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4290546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-26T20:51:09.4291031Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4291531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-26T20:51:09.4292021Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-26T20:51:09.4292225Z 
2025-08-26T20:51:09.4292329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4292892Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4293371Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4293837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-26T20:51:09.4294312Z     out.append(self.upsample(out[-1]) + t)
2025-08-26T20:51:09.4294473Z 
2025-08-26T20:51:09.4294586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4295074Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4295506Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4295925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4302381Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4302917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4303439Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4303630Z 
2025-08-26T20:51:09.4303741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4304219Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4304656Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4305084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4305571Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4306064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4306774Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4306954Z 
2025-08-26T20:51:09.4307077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4307525Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4308017Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4308440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4309008Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4309489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4309954Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4310133Z 
2025-08-26T20:51:09.4310239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4310836Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4311264Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4311681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4312137Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4312611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4313091Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4313256Z 
2025-08-26T20:51:09.4313367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4313815Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4314217Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4314615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4315066Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4315528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4315986Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4316209Z 
2025-08-26T20:51:09.4316309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4316760Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4317182Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4317617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4318071Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4318523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4318982Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4319156Z 
2025-08-26T20:51:09.4319258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4319703Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4320115Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4320517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4320990Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4321460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4321936Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4322102Z 
2025-08-26T20:51:09.4322209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4322651Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4323058Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4323462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-26T20:51:09.4323936Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4324423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-26T20:51:09.4324881Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-26T20:51:09.4325049Z 
2025-08-26T20:51:09.4325152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4325593Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-26T20:51:09.4326006Z     feat_concat = self.fpn(feats)
2025-08-26T20:51:09.4326412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 91, in forward
2025-08-26T20:51:09.4326830Z     return torch.cat(out, dim=1)
2025-08-26T20:51:09.4326950Z 
2025-08-26T20:51:09.4327035Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4327276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4327721Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:09.4328141Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:09.4328270Z 
2025-08-26T20:51:09.4328379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4328815Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:09.4329235Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:09.4329409Z 
2025-08-26T20:51:09.4329508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4329942Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:09.4330354Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:09.4330478Z 
2025-08-26T20:51:09.4330579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4331012Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-26T20:51:09.4331422Z     logits = self.prob_head(feat_concat)
2025-08-26T20:51:09.4331545Z 
2025-08-26T20:51:09.4331632Z cudagraph partition due to non gpu ops
2025-08-26T20:51:09.4331852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:09.4332301Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 202, in forward
2025-08-26T20:51:09.4332881Z     prob_map = _bf16_to_float32(torch.sigmoid(logits))
2025-08-26T20:51:09.4333038Z 
2025-08-26T20:51:23.1429551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:23.1431336Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__
2025-08-26T20:51:23.1435359Z     for bmap in (proba_map >= self.bin_thresh).astype(np.uint8)
2025-08-26T20:51:23.1439770Z 
2025-08-26T20:51:24.9281236Z Compilation time (from dynamo_timed): 27.620864881
2025-08-26T20:51:24.9285165Z pass
2025-08-26T20:51:24.9287266Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:24.9288141Z TIMING: gc:0.00411 entire_frame_compile:27.62086 _recursive_pre_grad_passes:0.00906 _recursive_joint_graph_passes:0.17409 _recursive_post_grad_passes:0.13827 async_compile.wait:1.16627 code_gen:12.31976 inductor_compile:14.78744 backend_compile:18.60112 total_wall_time:27.62086
2025-08-26T20:51:24.9289268Z STATS: call_* op count: 230 | FakeTensorMode.__torch_dispatch__:17210 | FakeTensor.__torch_dispatch__:7874 | ProxyTorchDispatchMode.__torch_dispatch__:6953
2025-08-26T20:51:24.9289815Z Dynamo produced 4 graphs covering 230 ops with 5 graph breaks (2 unique)
2025-08-26T20:51:29.2022462Z 
2025-08-26T20:51:31.6674729Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:51:31.6675435Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:51:31.6679704Z cpu  eval  doctr_reco_predictor               
2025-08-26T20:51:31.9040285Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:31.9535312Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:31.9984280Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:36.3795699Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3796211Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3796609Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3796957Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3797305Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3797674Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3798493Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3798845Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3799094Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3799333Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3799563Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3799793Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3800023Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3800255Z cudagraph partition due to non gpu ops
2025-08-26T20:51:36.3800529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3801044Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3801903Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3802060Z 
2025-08-26T20:51:36.3802182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3802647Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3803081Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3803232Z 
2025-08-26T20:51:36.3803349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3803808Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3804229Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3804369Z 
2025-08-26T20:51:36.3804490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3804949Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3805368Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3805514Z 
2025-08-26T20:51:36.3805626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3806076Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3806691Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3806844Z 
2025-08-26T20:51:36.3806968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3807413Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3807806Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3807945Z 
2025-08-26T20:51:36.3808053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3808511Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3808905Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3809034Z 
2025-08-26T20:51:36.3809147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3809554Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3810075Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3810220Z 
2025-08-26T20:51:36.3810327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3810747Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3811139Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3811271Z 
2025-08-26T20:51:36.3811377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3811801Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3812203Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3812451Z 
2025-08-26T20:51:36.3812595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3813016Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3813450Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3813600Z 
2025-08-26T20:51:36.3813712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3814163Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3814590Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3814726Z 
2025-08-26T20:51:36.3814835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3815287Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3815704Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3815914Z 
2025-08-26T20:51:36.3816032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3816475Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3816858Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3816995Z 
2025-08-26T20:51:36.3817102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3817516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3817909Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3818039Z 
2025-08-26T20:51:36.3818152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3818563Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3818956Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3819097Z 
2025-08-26T20:51:36.3819201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3819620Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3820011Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3820141Z 
2025-08-26T20:51:36.3820250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3820670Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3821062Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3821192Z 
2025-08-26T20:51:36.3821305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3821723Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3822106Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3822250Z 
2025-08-26T20:51:36.3822354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3822771Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3823165Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3823294Z 
2025-08-26T20:51:36.3823437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3823854Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3824313Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3824440Z 
2025-08-26T20:51:36.3824548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3824948Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3825319Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3825454Z 
2025-08-26T20:51:36.3825558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3825964Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3826344Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3826470Z 
2025-08-26T20:51:36.3826598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3827006Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3827380Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3827511Z 
2025-08-26T20:51:36.3827612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3828013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3828393Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3828518Z 
2025-08-26T20:51:36.3828618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3829051Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3829429Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3829555Z 
2025-08-26T20:51:36.3829663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3830068Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3830451Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3830588Z 
2025-08-26T20:51:36.3830692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3831105Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3831493Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3831621Z 
2025-08-26T20:51:36.3831733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3832150Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3832528Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3832660Z 
2025-08-26T20:51:36.3832760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3833164Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3833538Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3833662Z 
2025-08-26T20:51:36.3833763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:36.3834161Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-26T20:51:36.3834540Z     features = self.feat_extractor(x)
2025-08-26T20:51:36.3834663Z 
2025-08-26T20:51:43.8450134Z E0826 20:51:43.843328 14831 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-26T20:51:43.9226779Z E0826 20:51:43.920803 14831 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-26T20:51:44.0413879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:44.0417182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path
2025-08-26T20:51:44.0417677Z     probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values
2025-08-26T20:51:44.0422510Z 
2025-08-26T20:51:44.9489306Z Compilation time (from dynamo_timed): 11.866098136
2025-08-26T20:51:44.9491189Z pass
2025-08-26T20:51:44.9492109Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:44.9493129Z TIMING: gc:0.00438 entire_frame_compile:11.8661 _recursive_pre_grad_passes:0.00476 _recursive_joint_graph_passes:0.35815 _recursive_post_grad_passes:0.04077 async_compile.wait:1.42461 code_gen:8.04212 inductor_compile:8.46895 backend_compile:10.04212 total_wall_time:11.8661
2025-08-26T20:51:44.9494155Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:4113 | FakeTensor.__torch_dispatch__:1487 | ProxyTorchDispatchMode.__torch_dispatch__:1316
2025-08-26T20:51:44.9494680Z Dynamo produced 2 graphs covering 56 ops with 4 graph breaks (3 unique)
2025-08-26T20:51:49.0023269Z 
2025-08-26T20:51:49.0524844Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-26T20:51:49.0525469Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-26T20:51:49.0526037Z 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.
2025-08-26T20:51:49.0526999Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-26T20:51:49.6190923Z 
2025-08-26T20:51:49.6194574Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:51:49.6194919Z cpu  eval  drq                                
2025-08-26T20:51:49.6280768Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:49.6318029Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:49.6360465Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:51.8461324Z cudagraph partition due to non gpu ops
2025-08-26T20:51:51.8461639Z cudagraph partition due to non gpu ops
2025-08-26T20:51:51.8461903Z cudagraph partition due to non gpu ops
2025-08-26T20:51:51.8462144Z cudagraph partition due to non gpu ops
2025-08-26T20:51:51.8462426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8462946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8463326Z     return mod(*inputs)
2025-08-26T20:51:51.8463632Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8463969Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8464329Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:51:51.8464622Z     h = self.forward_conv(obs)
2025-08-26T20:51:51.8464912Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-26T20:51:51.8465226Z     conv = torch.relu(self.convs[0](obs))
2025-08-26T20:51:51.8465384Z 
2025-08-26T20:51:51.8465560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8465978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8466315Z     return mod(*inputs)
2025-08-26T20:51:51.8466570Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8466877Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8467194Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:51:51.8467468Z     h = self.forward_conv(obs)
2025-08-26T20:51:51.8468142Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:51:51.8468454Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:51:51.8468601Z 
2025-08-26T20:51:51.8468710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8469072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8469396Z     return mod(*inputs)
2025-08-26T20:51:51.8469641Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8469935Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8470231Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:51:51.8470507Z     h = self.forward_conv(obs)
2025-08-26T20:51:51.8470775Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:51:51.8471069Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:51:51.8471208Z 
2025-08-26T20:51:51.8471314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8471666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8471977Z     return mod(*inputs)
2025-08-26T20:51:51.8472221Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8472511Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8472797Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:51:51.8473069Z     h = self.forward_conv(obs)
2025-08-26T20:51:51.8473334Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:51:51.8473737Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:51:51.8473870Z 
2025-08-26T20:51:51.8473982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8474336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8474654Z     return mod(*inputs)
2025-08-26T20:51:51.8474902Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8475195Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8475487Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-26T20:51:51.8475756Z     h = self.forward_conv(obs)
2025-08-26T20:51:51.8476034Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-26T20:51:51.8476330Z     conv = torch.relu(self.convs[i](conv))
2025-08-26T20:51:51.8476461Z 
2025-08-26T20:51:51.8476695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8477110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8477427Z     return mod(*inputs)
2025-08-26T20:51:51.8477677Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8477972Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8478267Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 61, in forward
2025-08-26T20:51:51.8478532Z     out = self.head(h)
2025-08-26T20:51:51.8478646Z 
2025-08-26T20:51:51.8478750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8479116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8479420Z     return mod(*inputs)
2025-08-26T20:51:51.8479653Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-26T20:51:51.8479922Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-26T20:51:51.8480196Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 63, in forward
2025-08-26T20:51:51.8480451Z     out = torch.tanh(out)
2025-08-26T20:51:51.8480555Z 
2025-08-26T20:51:51.8480658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8480985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8481340Z     return mod(*inputs)
2025-08-26T20:51:51.8481579Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:51:51.8481854Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:51:51.8481990Z 
2025-08-26T20:51:51.8482094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8482424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8482725Z     return mod(*inputs)
2025-08-26T20:51:51.8482958Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:51:51.8483237Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:51:51.8483371Z 
2025-08-26T20:51:51.8483470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8483807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8484109Z     return mod(*inputs)
2025-08-26T20:51:51.8484348Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:51:51.8484620Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:51:51.8484753Z 
2025-08-26T20:51:51.8484852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8485185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8485480Z     return mod(*inputs)
2025-08-26T20:51:51.8485729Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:51:51.8485995Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:51:51.8486173Z 
2025-08-26T20:51:51.8486273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8486607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8486908Z     return mod(*inputs)
2025-08-26T20:51:51.8487148Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-26T20:51:51.8487415Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-26T20:51:51.8487558Z 
2025-08-26T20:51:51.8487656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:51:51.8487991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:51:51.8488292Z     return mod(*inputs)
2025-08-26T20:51:51.8488521Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 105, in forward
2025-08-26T20:51:51.8488784Z     std = log_std.exp()
2025-08-26T20:51:51.8488890Z 
2025-08-26T20:51:58.8671575Z Compilation time (from dynamo_timed): 8.248004254
2025-08-26T20:51:58.8672004Z pass
2025-08-26T20:51:58.8674365Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:51:58.8675335Z TIMING: _recursive_pre_grad_passes:0.00428 _recursive_joint_graph_passes:0.12598 _recursive_post_grad_passes:0.01766 async_compile.wait:0.77192 code_gen:6.65484 inductor_compile:6.77156 backend_compile:7.65795 gc:0.00105 entire_frame_compile:8.248 total_wall_time:8.248
2025-08-26T20:51:58.8676202Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:245 | FakeTensorMode.__torch_dispatch__:1189 | ProxyTorchDispatchMode.__torch_dispatch__:290
2025-08-26T20:51:58.8676685Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-26T20:52:02.6246616Z 
2025-08-26T20:52:03.9822252Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:03.9828040Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:52:03.9841505Z cpu  eval  fastNLP_Bert                       
2025-08-26T20:52:05.0907067Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:05.6400497Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:06.1497140Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:07.1303690Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T20:52:07.1304462Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T20:52:07.1304962Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-26T20:52:07.1305556Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T20:52:07.1306124Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-26T20:52:07.1306791Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:52:07.1307261Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-26T20:52:07.1307900Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:07.1308507Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(*inputs)
2025-08-26T20:52:07.1309126Z W0826 20:52:07.129031 16365 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
2025-08-26T20:52:07.1309781Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     sequence_output = self.bert(words)
2025-08-26T20:52:07.1310575Z W0826 20:52:07.129031 16365 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
2025-08-26T20:52:07.1311227Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.model(words)
2025-08-26T20:52:07.1311933Z W0826 20:52:07.129031 16365 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
2025-08-26T20:52:07.1319551Z W0826 20:52:07.129031 16365 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)
2025-08-26T20:52:07.1320195Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:52:07.1320584Z W0826 20:52:07.129031 16365 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:52:08.2079590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:08.2081486Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-08-26T20:52:08.2082427Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-08-26T20:52:08.2084182Z 
2025-08-26T20:52:08.2084435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:08.2084900Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-08-26T20:52:08.2085428Z     seq_len = word_mask.sum(dim=-1)
2025-08-26T20:52:08.2085578Z 
2025-08-26T20:52:19.7545237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7545850Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-08-26T20:52:19.7546413Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-08-26T20:52:19.7546928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-08-26T20:52:19.7547840Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-08-26T20:52:19.7548113Z 
2025-08-26T20:52:19.7548248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7548709Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7549162Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7549591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7550031Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7550471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7550915Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7551403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7551827Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7552245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7552665Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7552825Z 
2025-08-26T20:52:19.7552938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7553343Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7553756Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7554293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7554723Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7555137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7555577Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7556070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7556486Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7556900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7557288Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7557445Z 
2025-08-26T20:52:19.7557556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7557964Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7558364Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7558752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7559194Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7559640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7560167Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7560592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7560995Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7561402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7561791Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7561944Z 
2025-08-26T20:52:19.7562034Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7562269Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7562533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7563952Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7564387Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7564809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7565247Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7565670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7566099Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7566509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7566961Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7567390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7567796Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7567948Z 
2025-08-26T20:52:19.7568069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7568484Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7568901Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7569298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7569790Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7570215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7570651Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7571082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7571473Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7571623Z 
2025-08-26T20:52:19.7571741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7572143Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7572769Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7573189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7573635Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7574074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7574521Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7574927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7575327Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7575725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7576114Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7576272Z 
2025-08-26T20:52:19.7576381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7576773Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7577161Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7577541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7577947Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7578385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7578818Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7579238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7579616Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7579759Z 
2025-08-26T20:52:19.7579868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7580262Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7580651Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7581035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7581441Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7581835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7582254Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7582671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7583063Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7583450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7583822Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7584022Z 
2025-08-26T20:52:19.7584130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7584524Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7584909Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7585291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7585694Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7586095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7586516Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7586933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7587318Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7587710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7588087Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7588229Z 
2025-08-26T20:52:19.7588343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7588738Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7589118Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7589499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7589904Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7590307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7590715Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7591118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7591504Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7591880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7592295Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7592445Z 
2025-08-26T20:52:19.7592536Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7592752Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7592992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7593377Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7593754Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7594115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7594511Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7594898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7595310Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7595717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7596103Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7596493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7596854Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7596993Z 
2025-08-26T20:52:19.7597107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7597487Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7597929Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7598304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7598700Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7599098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7599500Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7599904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7600279Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7600422Z 
2025-08-26T20:52:19.7600535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7600929Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7601307Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7601692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7602101Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7602500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7602911Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7603310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7603710Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7604105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7604490Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7604646Z 
2025-08-26T20:52:19.7604761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7605144Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7605570Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7605937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7606365Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7606974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7607426Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7607829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7608205Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7608354Z 
2025-08-26T20:52:19.7608462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7608847Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7609234Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7609601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7609991Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7610379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7610792Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7611188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7611672Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7612053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7612483Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7612643Z 
2025-08-26T20:52:19.7612762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7613152Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7613575Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7613978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7614455Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7614886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7615317Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7615740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7616140Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7616533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7616908Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7617050Z 
2025-08-26T20:52:19.7617155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7617551Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7617943Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7618327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7618728Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7619131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7619558Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7620040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7620436Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7620817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7621198Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7621354Z 
2025-08-26T20:52:19.7621441Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7621667Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7621912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7622299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7622683Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7623064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7623468Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7623865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7624283Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7624700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7625106Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7625504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7625913Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7626065Z 
2025-08-26T20:52:19.7626172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7626570Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7626959Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7627343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7627739Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7628140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7628554Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7628958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7629338Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7629481Z 
2025-08-26T20:52:19.7629589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7629986Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7630374Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7630754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7631156Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7631557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7631968Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7632375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7632760Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7633126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7633533Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7633689Z 
2025-08-26T20:52:19.7633792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7634164Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7634528Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7634881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7635265Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7635644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7636044Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7636447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7636802Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7636956Z 
2025-08-26T20:52:19.7637057Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7637427Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7637806Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7638167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7638562Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7639000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7639428Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7639833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7640217Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7640596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7640972Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7641121Z 
2025-08-26T20:52:19.7641235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7641620Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7641993Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7642372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7642767Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7643159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7643567Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7643965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7644347Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7644724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7645087Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7645227Z 
2025-08-26T20:52:19.7645329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7645711Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7646085Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7646453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7646895Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7647276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7647687Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7648088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7648470Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7648849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7649223Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7649442Z 
2025-08-26T20:52:19.7649548Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7649776Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7650024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7650412Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7650795Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7651180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7651608Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7652028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7652541Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7653059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7653502Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7653907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7654284Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7654429Z 
2025-08-26T20:52:19.7654538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7654940Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7655341Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7655712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7656111Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7656494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7656903Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7657342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7657710Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7657849Z 
2025-08-26T20:52:19.7657953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7658339Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7658712Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7659088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7659496Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7659887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7660300Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7660736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7661137Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7661526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7661899Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7662063Z 
2025-08-26T20:52:19.7662170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7662564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7662968Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7663372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7663797Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7664231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7664679Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7665094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7665460Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7665611Z 
2025-08-26T20:52:19.7665718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7666115Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7666546Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7666959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7667354Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7667756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7668181Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7668598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7668990Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7669377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7669760Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7669919Z 
2025-08-26T20:52:19.7670028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7670419Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7670800Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7671174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7671581Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7671981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7672400Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7672815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7673204Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7673598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7674038Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7674180Z 
2025-08-26T20:52:19.7674298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7674725Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7675114Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7675493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7675898Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7676290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7676704Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7677119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7677530Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7677906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7678280Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7678427Z 
2025-08-26T20:52:19.7678511Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7678740Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7678971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7679339Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7679694Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7680051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7680473Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7680849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7681238Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7681620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7682003Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7682383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7682744Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7682889Z 
2025-08-26T20:52:19.7682997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7683358Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7683721Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7684081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7684461Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7684839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7685226Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7685629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7685980Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7686112Z 
2025-08-26T20:52:19.7686222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7686592Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7686977Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7687332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7687710Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7688115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7688498Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7688879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7689257Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7689629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7689995Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7690144Z 
2025-08-26T20:52:19.7690245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7690616Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7690983Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7691343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7691726Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7692101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7692636Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7693081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7693529Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7693680Z 
2025-08-26T20:52:19.7693793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7694211Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7694629Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7695037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7695467Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7695882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7696327Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7696767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7697189Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7697601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7698006Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7698172Z 
2025-08-26T20:52:19.7698287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7698699Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7699115Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7699514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7699940Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7700362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7700807Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7701230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7701606Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7702041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7702406Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7702543Z 
2025-08-26T20:52:19.7702652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7703027Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7703397Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7703763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7704158Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7704542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7704949Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7705352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7705735Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7706109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7706609Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7706768Z 
2025-08-26T20:52:19.7706863Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7707081Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7707321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7707786Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7708161Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7708522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7708924Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7709314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7709726Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7710129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7710519Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7710913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7711282Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7711420Z 
2025-08-26T20:52:19.7711534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7711918Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7712282Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7712649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7713041Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7713426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7713819Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7714190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7714534Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7714666Z 
2025-08-26T20:52:19.7714771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7715198Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7715554Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7715909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7716284Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7716650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7717031Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7717399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7717775Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7718250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7718603Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7718749Z 
2025-08-26T20:52:19.7718854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7719208Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7719561Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7719918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7720295Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7720664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7721101Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7721494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7721845Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7721976Z 
2025-08-26T20:52:19.7722082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7722436Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7722791Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7723141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7723517Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7723882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7724268Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7724654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7725018Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7725381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7725734Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7725871Z 
2025-08-26T20:52:19.7725970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7726334Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7726689Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7727041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7727415Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7727776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7728202Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7728585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7728947Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7729295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7729640Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7729779Z 
2025-08-26T20:52:19.7729877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7730247Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7730612Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7730961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7731343Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7731722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7732116Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7732567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7732987Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7733442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7733870Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7734022Z 
2025-08-26T20:52:19.7734118Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7734344Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7734594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7734982Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7735368Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7735746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7736140Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7736541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7736956Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7737370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7737775Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7738171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7738541Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7738692Z 
2025-08-26T20:52:19.7738798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7739190Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7739578Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7739950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7740356Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7740759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7741174Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7741606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7741989Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7742138Z 
2025-08-26T20:52:19.7742244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7742638Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7743029Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7743404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7743814Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7744217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7744628Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7745041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7745438Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7745837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7746222Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7746379Z 
2025-08-26T20:52:19.7746495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7746889Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7747330Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7747717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7748127Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7748532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7748958Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7749373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7749749Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7749899Z 
2025-08-26T20:52:19.7750007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7750405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7750792Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7751180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7751590Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7751999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7752400Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7752789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7753203Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7753564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7753919Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7754058Z 
2025-08-26T20:52:19.7754166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7754530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7754902Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7755300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7755687Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7756068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7756457Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7756851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7757221Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7757592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7757939Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7758079Z 
2025-08-26T20:52:19.7758180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7758552Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7758919Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7759281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7759660Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7760030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7760416Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7760844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7761208Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7761558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7761912Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7762056Z 
2025-08-26T20:52:19.7762136Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7762347Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7762568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7762933Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7763288Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7763642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7764018Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7764382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7764768Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7765155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7765535Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7765910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7766250Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7766387Z 
2025-08-26T20:52:19.7766487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7766851Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7767210Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7767572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7767950Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7768378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7768772Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7769159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7769507Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7769647Z 
2025-08-26T20:52:19.7769748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7770157Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7770528Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7770887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7771267Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7771653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7772048Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7772615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7773060Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7773476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7773869Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7774084Z 
2025-08-26T20:52:19.7774193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7774595Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7774994Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7775364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7775760Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7776153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7776566Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7776968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7777337Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7777485Z 
2025-08-26T20:52:19.7777589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7777974Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7778355Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7778730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7779141Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7779526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7779934Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7780337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7780718Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7781098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7781467Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7781614Z 
2025-08-26T20:52:19.7781767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7782151Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7782517Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7782888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7783287Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7783675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7784088Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7784486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7784870Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7785253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7785618Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7785759Z 
2025-08-26T20:52:19.7785864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7786246Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7786629Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7786989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7787415Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7787794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7788203Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7788608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7788990Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7789364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7789726Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7789880Z 
2025-08-26T20:52:19.7789963Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7790181Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7790426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7790805Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7791182Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7791555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7791949Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7792336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7792733Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7793138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7793532Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7793922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7794287Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7794427Z 
2025-08-26T20:52:19.7794530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7794912Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7795328Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7795708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7796092Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7796480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7796880Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7797273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7797641Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7797778Z 
2025-08-26T20:52:19.7797884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7798265Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7798639Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7799008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7799400Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7799758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7800137Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7800508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7800935Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7801291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7801637Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7801789Z 
2025-08-26T20:52:19.7801890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7802250Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7802603Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7802953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7803318Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7803686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7804081Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7804462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7804796Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7804940Z 
2025-08-26T20:52:19.7805039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7805401Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7805753Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7806102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7806640Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7807026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7807421Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7807803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7808238Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7808593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7808952Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7809100Z 
2025-08-26T20:52:19.7809200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7809569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7809928Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7810273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7810654Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7811029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7811427Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7811814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7812186Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7812606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7813028Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7813180Z 
2025-08-26T20:52:19.7813300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7813722Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7814208Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7814595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7814987Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7815372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7815772Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7816175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7816556Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7816932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7817324Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7817481Z 
2025-08-26T20:52:19.7817573Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7817816Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7818078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7818500Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7818902Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7819302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7819729Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7820145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7820581Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7821021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7821425Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7821820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7822242Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7822388Z 
2025-08-26T20:52:19.7822501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7822872Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7823244Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7823610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7824005Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7824384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7824785Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7825181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7825553Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7825694Z 
2025-08-26T20:52:19.7825809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7826183Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7826564Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7826931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7827324Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7827751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7828138Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7828531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7828918Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7829299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7829676Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7829828Z 
2025-08-26T20:52:19.7829932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7830314Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7830688Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7831056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7831444Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7831815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7832209Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7832595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7832939Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7833071Z 
2025-08-26T20:52:19.7833171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7833536Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7833892Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7834246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7834616Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7835015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7835413Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7835799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7836169Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7836530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7836881Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7837026Z 
2025-08-26T20:52:19.7837127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7837490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7837850Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7838199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7838573Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7838944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7839335Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7839720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7840077Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7840472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7840816Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7840946Z 
2025-08-26T20:52:19.7841053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7841424Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7841778Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7842129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7842503Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7842869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7843255Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7843632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7843994Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7844355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7844708Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7844845Z 
2025-08-26T20:52:19.7844931Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7845134Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7845363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7845724Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7846077Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7846425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7846803Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7847169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7847556Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7847991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7848365Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7848736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7849082Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7849216Z 
2025-08-26T20:52:19.7849323Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7849677Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7850041Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7850409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7850801Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7851192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7851585Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7851980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7852344Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7852564Z 
2025-08-26T20:52:19.7852687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7853072Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7853492Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7853866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7854264Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7854658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7855060Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7855445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7855836Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7856219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7856591Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7856745Z 
2025-08-26T20:52:19.7856856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7857231Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7857607Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7857984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7858380Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7858771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7859208Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7859618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7859987Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7860127Z 
2025-08-26T20:52:19.7860239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7860614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7860990Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7861403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7861800Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7862186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7862590Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7862997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7863385Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7863765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 271, in forward
2025-08-26T20:52:19.7864134Z     mixed_query_layer = self.query(hidden_states)
2025-08-26T20:52:19.7864281Z 
2025-08-26T20:52:19.7864384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7864770Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7865145Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7865522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7865907Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7866341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7866793Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7867199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7867587Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7867964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 272, in forward
2025-08-26T20:52:19.7868330Z     mixed_key_layer = self.key(hidden_states)
2025-08-26T20:52:19.7868475Z 
2025-08-26T20:52:19.7868579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7868970Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7869330Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7869680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7870057Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7870426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7870812Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7871204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 320, in forward
2025-08-26T20:52:19.7871562Z     self_output = self.self(input_tensor, attention_mask)
2025-08-26T20:52:19.7871923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 273, in forward
2025-08-26T20:52:19.7872275Z     mixed_value_layer = self.value(hidden_states)
2025-08-26T20:52:19.7872413Z 
2025-08-26T20:52:19.7872499Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7872701Z cudagraph partition due to non gpu ops
2025-08-26T20:52:19.7872930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7873299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7873657Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7874009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7874411Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7874779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 362, in forward
2025-08-26T20:52:19.7875169Z     attention_output = self.attention(hidden_states, attention_mask)
2025-08-26T20:52:19.7875550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 321, in forward
2025-08-26T20:52:19.7875930Z     attention_output = self.output(self_output, input_tensor)
2025-08-26T20:52:19.7876296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 307, in forward
2025-08-26T20:52:19.7876647Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7876787Z 
2025-08-26T20:52:19.7876887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7877251Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7877607Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7877966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7878337Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7878703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7879090Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7879457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 335, in forward
2025-08-26T20:52:19.7879846Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7879985Z 
2025-08-26T20:52:19.7880083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7880446Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7880809Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7881153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7881524Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7881890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-26T20:52:19.7882265Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:52:19.7882639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-26T20:52:19.7883003Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:52:19.7883369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-26T20:52:19.7883735Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-26T20:52:19.7883880Z 
2025-08-26T20:52:19.7884001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7884354Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-26T20:52:19.7884711Z     encoded_layers = self.encoder(embedding_output,
2025-08-26T20:52:19.7885061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-26T20:52:19.7885431Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-26T20:52:19.7885797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 364, in forward
2025-08-26T20:52:19.7886180Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:52:19.7886568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 348, in forward
2025-08-26T20:52:19.7886922Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:52:19.7887056Z 
2025-08-26T20:52:19.7887199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7887574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-26T20:52:19.7887933Z     pooled_output = self.pooler(sequence_output)
2025-08-26T20:52:19.7888296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 404, in forward
2025-08-26T20:52:19.7888658Z     pooled_output = self.dense(first_token_tensor)
2025-08-26T20:52:19.7888802Z 
2025-08-26T20:52:19.7888911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:19.7889282Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-26T20:52:19.7889637Z     pooled_output = self.pooler(sequence_output)
2025-08-26T20:52:19.7889995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-08-26T20:52:19.7890363Z     pooled_output = self.activation(pooled_output)
2025-08-26T20:52:19.7890509Z 
2025-08-26T20:52:22.2739449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:22.2740192Z    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
2025-08-26T20:52:22.2740787Z     return self.dropout(outputs)
2025-08-26T20:52:22.2741848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-08-26T20:52:22.2742277Z     return self.dropout_layer(words)
2025-08-26T20:52:22.2742872Z 
2025-08-26T20:52:22.9092735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:22.9093469Z    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
2025-08-26T20:52:22.9094140Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-08-26T20:52:22.9094435Z 
2025-08-26T20:52:23.2419331Z Compilation time (from dynamo_timed): 15.633394269
2025-08-26T20:52:23.2419778Z pass
2025-08-26T20:52:23.2428271Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:23.2429195Z TIMING: gc:0.00702 entire_frame_compile:15.63339 _recursive_pre_grad_passes:0.00883 _recursive_joint_graph_passes:0.46393 _recursive_post_grad_passes:0.06535 async_compile.wait:1.6985 code_gen:8.468 inductor_compile:9.54106 backend_compile:12.94789 total_wall_time:15.63339
2025-08-26T20:52:23.2430209Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:15832 | ProxyTorchDispatchMode.__torch_dispatch__:6097 | FakeTensor.__torch_dispatch__:4216
2025-08-26T20:52:23.2430814Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-08-26T20:52:27.3169486Z 
2025-08-26T20:52:27.6816676Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:27.6816984Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:27.6818411Z cpu  eval  functorch_dp_cifar10               
2025-08-26T20:52:27.7165655Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:27.7368844Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:27.7533670Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:31.9491433Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9496392Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9500459Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9502653Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9502879Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9503186Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9503410Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9503664Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9504270Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9504495Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9504694Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9504901Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9505106Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9505311Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9505506Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9505713Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9505919Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9506125Z cudagraph partition due to non gpu ops
2025-08-26T20:52:31.9506370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9507009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9507381Z     return mod(*inputs)
2025-08-26T20:52:31.9507756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9508128Z     return self._forward_impl(x)
2025-08-26T20:52:31.9508501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-26T20:52:31.9508888Z     x = self.conv1(x)
2025-08-26T20:52:31.9509001Z 
2025-08-26T20:52:31.9509107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9509498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9509831Z     return mod(*inputs)
2025-08-26T20:52:31.9510164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9510650Z     return self._forward_impl(x)
2025-08-26T20:52:31.9511006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-26T20:52:31.9511348Z     x = self.relu(x)
2025-08-26T20:52:31.9511447Z 
2025-08-26T20:52:31.9511552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9511900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9512210Z     return mod(*inputs)
2025-08-26T20:52:31.9512523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9512849Z     return self._forward_impl(x)
2025-08-26T20:52:31.9513189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-26T20:52:31.9513535Z     x = self.maxpool(x)
2025-08-26T20:52:31.9513634Z 
2025-08-26T20:52:31.9513742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9514084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9514383Z     return mod(*inputs)
2025-08-26T20:52:31.9514692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9515023Z     return self._forward_impl(x)
2025-08-26T20:52:31.9515355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9515686Z     x = self.layer1(x)
2025-08-26T20:52:31.9515992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9516317Z     out = self.conv1(x)
2025-08-26T20:52:31.9516415Z 
2025-08-26T20:52:31.9516521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9516867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9517167Z     return mod(*inputs)
2025-08-26T20:52:31.9517469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9517798Z     return self._forward_impl(x)
2025-08-26T20:52:31.9518279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9518622Z     x = self.layer1(x)
2025-08-26T20:52:31.9518926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9519255Z     out = self.relu(out)
2025-08-26T20:52:31.9519362Z 
2025-08-26T20:52:31.9519472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9519849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9520162Z     return mod(*inputs)
2025-08-26T20:52:31.9520470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9520802Z     return self._forward_impl(x)
2025-08-26T20:52:31.9521138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9521475Z     x = self.layer1(x)
2025-08-26T20:52:31.9521779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9522106Z     out = self.conv2(out)
2025-08-26T20:52:31.9522212Z 
2025-08-26T20:52:31.9522317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9522660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9522963Z     return mod(*inputs)
2025-08-26T20:52:31.9523262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9523639Z     return self._forward_impl(x)
2025-08-26T20:52:31.9523968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9524293Z     x = self.layer1(x)
2025-08-26T20:52:31.9524594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9524915Z     out = self.relu(out)
2025-08-26T20:52:31.9525018Z 
2025-08-26T20:52:31.9525123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9525459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9525759Z     return mod(*inputs)
2025-08-26T20:52:31.9526057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9526380Z     return self._forward_impl(x)
2025-08-26T20:52:31.9526712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9527042Z     x = self.layer1(x)
2025-08-26T20:52:31.9527344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9527674Z     out = self.conv1(x)
2025-08-26T20:52:31.9527773Z 
2025-08-26T20:52:31.9527884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9528229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9528532Z     return mod(*inputs)
2025-08-26T20:52:31.9528838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9529177Z     return self._forward_impl(x)
2025-08-26T20:52:31.9529503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9529872Z     x = self.layer1(x)
2025-08-26T20:52:31.9530183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9530502Z     out = self.relu(out)
2025-08-26T20:52:31.9530614Z 
2025-08-26T20:52:31.9530715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9531097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9531409Z     return mod(*inputs)
2025-08-26T20:52:31.9531713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9532050Z     return self._forward_impl(x)
2025-08-26T20:52:31.9532453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9532912Z     x = self.layer1(x)
2025-08-26T20:52:31.9533258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9533636Z     out = self.conv2(out)
2025-08-26T20:52:31.9533766Z 
2025-08-26T20:52:31.9533879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9534262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9534580Z     return mod(*inputs)
2025-08-26T20:52:31.9534893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9535239Z     return self._forward_impl(x)
2025-08-26T20:52:31.9535599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-26T20:52:31.9535970Z     x = self.layer1(x)
2025-08-26T20:52:31.9536311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9536676Z     out = self.relu(out)
2025-08-26T20:52:31.9536802Z 
2025-08-26T20:52:31.9536916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9537357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9537681Z     return mod(*inputs)
2025-08-26T20:52:31.9537995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9538346Z     return self._forward_impl(x)
2025-08-26T20:52:31.9538727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9539115Z     x = self.layer2(x)
2025-08-26T20:52:31.9539462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9539824Z     out = self.conv1(x)
2025-08-26T20:52:31.9539941Z 
2025-08-26T20:52:31.9540053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9540451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9540780Z     return mod(*inputs)
2025-08-26T20:52:31.9541106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9541451Z     return self._forward_impl(x)
2025-08-26T20:52:31.9541814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9542159Z     x = self.layer2(x)
2025-08-26T20:52:31.9542465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9542793Z     out = self.relu(out)
2025-08-26T20:52:31.9542906Z 
2025-08-26T20:52:31.9543018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9543369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9543683Z     return mod(*inputs)
2025-08-26T20:52:31.9543980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9544323Z     return self._forward_impl(x)
2025-08-26T20:52:31.9544680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9545026Z     x = self.layer2(x)
2025-08-26T20:52:31.9545388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9545717Z     out = self.conv2(out)
2025-08-26T20:52:31.9545832Z 
2025-08-26T20:52:31.9545936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9546285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9546599Z     return mod(*inputs)
2025-08-26T20:52:31.9546901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9547239Z     return self._forward_impl(x)
2025-08-26T20:52:31.9547581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9547927Z     x = self.layer2(x)
2025-08-26T20:52:31.9548234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-26T20:52:31.9548569Z     identity = self.downsample(x)
2025-08-26T20:52:31.9548708Z 
2025-08-26T20:52:31.9548810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9549159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9549474Z     return mod(*inputs)
2025-08-26T20:52:31.9549775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9550114Z     return self._forward_impl(x)
2025-08-26T20:52:31.9550453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9550830Z     x = self.layer2(x)
2025-08-26T20:52:31.9551141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9551454Z     out = self.relu(out)
2025-08-26T20:52:31.9551562Z 
2025-08-26T20:52:31.9551661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9552003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9552310Z     return mod(*inputs)
2025-08-26T20:52:31.9552602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9552927Z     return self._forward_impl(x)
2025-08-26T20:52:31.9553259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9553591Z     x = self.layer2(x)
2025-08-26T20:52:31.9553885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9554197Z     out = self.conv1(x)
2025-08-26T20:52:31.9554301Z 
2025-08-26T20:52:31.9554402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9554748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9555062Z     return mod(*inputs)
2025-08-26T20:52:31.9555362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9555694Z     return self._forward_impl(x)
2025-08-26T20:52:31.9556033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9556384Z     x = self.layer2(x)
2025-08-26T20:52:31.9556680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9556992Z     out = self.relu(out)
2025-08-26T20:52:31.9557105Z 
2025-08-26T20:52:31.9557204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9557545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9557855Z     return mod(*inputs)
2025-08-26T20:52:31.9558187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9558523Z     return self._forward_impl(x)
2025-08-26T20:52:31.9558863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9559216Z     x = self.layer2(x)
2025-08-26T20:52:31.9559514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9559825Z     out = self.conv2(out)
2025-08-26T20:52:31.9559939Z 
2025-08-26T20:52:31.9560037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9560378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9560692Z     return mod(*inputs)
2025-08-26T20:52:31.9560993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9561325Z     return self._forward_impl(x)
2025-08-26T20:52:31.9561676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-26T20:52:31.9562012Z     x = self.layer2(x)
2025-08-26T20:52:31.9562309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9562625Z     out = self.relu(out)
2025-08-26T20:52:31.9562735Z 
2025-08-26T20:52:31.9562837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9563185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9563498Z     return mod(*inputs)
2025-08-26T20:52:31.9563832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9564164Z     return self._forward_impl(x)
2025-08-26T20:52:31.9564512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9564848Z     x = self.layer3(x)
2025-08-26T20:52:31.9565147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9565456Z     out = self.conv1(x)
2025-08-26T20:52:31.9565559Z 
2025-08-26T20:52:31.9565658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9566007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9566317Z     return mod(*inputs)
2025-08-26T20:52:31.9566617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9566953Z     return self._forward_impl(x)
2025-08-26T20:52:31.9567288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9567630Z     x = self.layer3(x)
2025-08-26T20:52:31.9567932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9568254Z     out = self.relu(out)
2025-08-26T20:52:31.9568365Z 
2025-08-26T20:52:31.9568464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9568810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9569119Z     return mod(*inputs)
2025-08-26T20:52:31.9569420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9569759Z     return self._forward_impl(x)
2025-08-26T20:52:31.9570105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9570456Z     x = self.layer3(x)
2025-08-26T20:52:31.9570765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9571095Z     out = self.conv2(out)
2025-08-26T20:52:31.9571212Z 
2025-08-26T20:52:31.9571355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9571711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9572030Z     return mod(*inputs)
2025-08-26T20:52:31.9572336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9572858Z     return self._forward_impl(x)
2025-08-26T20:52:31.9573246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9573634Z     x = self.layer3(x)
2025-08-26T20:52:31.9573977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-26T20:52:31.9574324Z     identity = self.downsample(x)
2025-08-26T20:52:31.9574464Z 
2025-08-26T20:52:31.9574570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9574937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9575270Z     return mod(*inputs)
2025-08-26T20:52:31.9575579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9575918Z     return self._forward_impl(x)
2025-08-26T20:52:31.9576260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9576608Z     x = self.layer3(x)
2025-08-26T20:52:31.9576917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9577281Z     out = self.relu(out)
2025-08-26T20:52:31.9577394Z 
2025-08-26T20:52:31.9577496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9577839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9578148Z     return mod(*inputs)
2025-08-26T20:52:31.9578447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9578782Z     return self._forward_impl(x)
2025-08-26T20:52:31.9579116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9579462Z     x = self.layer3(x)
2025-08-26T20:52:31.9579765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9580083Z     out = self.conv1(x)
2025-08-26T20:52:31.9580190Z 
2025-08-26T20:52:31.9580291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9580642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9580954Z     return mod(*inputs)
2025-08-26T20:52:31.9581256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9581590Z     return self._forward_impl(x)
2025-08-26T20:52:31.9581930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9582273Z     x = self.layer3(x)
2025-08-26T20:52:31.9582573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9582893Z     out = self.relu(out)
2025-08-26T20:52:31.9583002Z 
2025-08-26T20:52:31.9583105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9583452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9583763Z     return mod(*inputs)
2025-08-26T20:52:31.9584060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9584394Z     return self._forward_impl(x)
2025-08-26T20:52:31.9584731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9585107Z     x = self.layer3(x)
2025-08-26T20:52:31.9585413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9585738Z     out = self.conv2(out)
2025-08-26T20:52:31.9585852Z 
2025-08-26T20:52:31.9585952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9586299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9586608Z     return mod(*inputs)
2025-08-26T20:52:31.9586913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9587243Z     return self._forward_impl(x)
2025-08-26T20:52:31.9587582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-26T20:52:31.9587924Z     x = self.layer3(x)
2025-08-26T20:52:31.9588230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9588550Z     out = self.relu(out)
2025-08-26T20:52:31.9588661Z 
2025-08-26T20:52:31.9588784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9589131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9589441Z     return mod(*inputs)
2025-08-26T20:52:31.9589744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9590067Z     return self._forward_impl(x)
2025-08-26T20:52:31.9590528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9590872Z     x = self.layer4(x)
2025-08-26T20:52:31.9591175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9591493Z     out = self.conv1(x)
2025-08-26T20:52:31.9591599Z 
2025-08-26T20:52:31.9591703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9592052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9592365Z     return mod(*inputs)
2025-08-26T20:52:31.9592684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9593007Z     return self._forward_impl(x)
2025-08-26T20:52:31.9593341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9593681Z     x = self.layer4(x)
2025-08-26T20:52:31.9593983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9594304Z     out = self.relu(out)
2025-08-26T20:52:31.9594415Z 
2025-08-26T20:52:31.9594516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9594865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9595186Z     return mod(*inputs)
2025-08-26T20:52:31.9595485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9595802Z     return self._forward_impl(x)
2025-08-26T20:52:31.9596130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9596464Z     x = self.layer4(x)
2025-08-26T20:52:31.9596760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9597076Z     out = self.conv2(out)
2025-08-26T20:52:31.9597188Z 
2025-08-26T20:52:31.9597286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9597624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9597929Z     return mod(*inputs)
2025-08-26T20:52:31.9598263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9598584Z     return self._forward_impl(x)
2025-08-26T20:52:31.9598917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9599258Z     x = self.layer4(x)
2025-08-26T20:52:31.9599557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-26T20:52:31.9599880Z     identity = self.downsample(x)
2025-08-26T20:52:31.9600008Z 
2025-08-26T20:52:31.9600110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9600450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9600756Z     return mod(*inputs)
2025-08-26T20:52:31.9601060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9601383Z     return self._forward_impl(x)
2025-08-26T20:52:31.9601720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9602056Z     x = self.layer4(x)
2025-08-26T20:52:31.9602355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-26T20:52:31.9602673Z     out = self.relu(out)
2025-08-26T20:52:31.9602783Z 
2025-08-26T20:52:31.9602882Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9603223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9603563Z     return mod(*inputs)
2025-08-26T20:52:31.9603862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9604180Z     return self._forward_impl(x)
2025-08-26T20:52:31.9604515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9604849Z     x = self.layer4(x)
2025-08-26T20:52:31.9605146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-26T20:52:31.9605456Z     out = self.conv1(x)
2025-08-26T20:52:31.9605558Z 
2025-08-26T20:52:31.9605655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9605996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9606301Z     return mod(*inputs)
2025-08-26T20:52:31.9606795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9607166Z     return self._forward_impl(x)
2025-08-26T20:52:31.9607515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9607869Z     x = self.layer4(x)
2025-08-26T20:52:31.9608215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-26T20:52:31.9608543Z     out = self.relu(out)
2025-08-26T20:52:31.9608657Z 
2025-08-26T20:52:31.9608759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9609115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9609433Z     return mod(*inputs)
2025-08-26T20:52:31.9609748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9610080Z     return self._forward_impl(x)
2025-08-26T20:52:31.9610418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-26T20:52:31.9610763Z     x = self.layer4(x)
2025-08-26T20:52:31.9611066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-26T20:52:31.9611466Z     out = self.conv2(out)
2025-08-26T20:52:31.9611583Z 
2025-08-26T20:52:31.9611683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9612027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9612333Z     return mod(*inputs)
2025-08-26T20:52:31.9612704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9613062Z     return self._forward_impl(x)
2025-08-26T20:52:31.9613443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-26T20:52:31.9613821Z     x = self.avgpool(x)
2025-08-26T20:52:31.9613924Z 
2025-08-26T20:52:31.9614034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:31.9614392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:31.9614707Z     return mod(*inputs)
2025-08-26T20:52:31.9615022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-26T20:52:31.9615364Z     return self._forward_impl(x)
2025-08-26T20:52:31.9615704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 280, in _forward_impl
2025-08-26T20:52:31.9616044Z     x = self.fc(x)
2025-08-26T20:52:31.9616149Z 
2025-08-26T20:52:40.5250581Z Compilation time (from dynamo_timed): 11.502240261
2025-08-26T20:52:40.5251544Z pass
2025-08-26T20:52:40.5253672Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:40.5254900Z TIMING: _recursive_pre_grad_passes:0.00415 _recursive_joint_graph_passes:0.37706 _recursive_post_grad_passes:0.04299 async_compile.wait:0.66076 code_gen:8.3813 inductor_compile:9.09456 backend_compile:10.69845 gc:0.0014 entire_frame_compile:11.50224 total_wall_time:11.50224
2025-08-26T20:52:40.5255934Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:3555 | FakeTensor.__torch_dispatch__:2307 | ProxyTorchDispatchMode.__torch_dispatch__:1258
2025-08-26T20:52:40.5256545Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-26T20:52:44.3056797Z 
2025-08-26T20:52:44.4921868Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:44.4922186Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:44.4923013Z cpu  eval  functorch_maml_omniglot            
2025-08-26T20:52:44.4952669Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:44.4994947Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:44.5025339Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:46.9173672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9174218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9174629Z     return mod(*inputs)
2025-08-26T20:52:46.9174764Z 
2025-08-26T20:52:46.9174864Z cudagraph partition due to non gpu ops
2025-08-26T20:52:46.9175112Z cudagraph partition due to non gpu ops
2025-08-26T20:52:46.9175420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9175860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9176239Z     return mod(*inputs)
2025-08-26T20:52:46.9176363Z 
2025-08-26T20:52:46.9176496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9176950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9177338Z     return mod(*inputs)
2025-08-26T20:52:46.9177471Z 
2025-08-26T20:52:46.9177593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9177999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9178748Z     return mod(*inputs)
2025-08-26T20:52:46.9178863Z 
2025-08-26T20:52:46.9178975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9179384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9179747Z     return mod(*inputs)
2025-08-26T20:52:46.9179854Z 
2025-08-26T20:52:46.9179974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9180377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9180725Z     return mod(*inputs)
2025-08-26T20:52:46.9180849Z 
2025-08-26T20:52:46.9180958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9181355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9181709Z     return mod(*inputs)
2025-08-26T20:52:46.9181817Z 
2025-08-26T20:52:46.9181929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9182325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9182681Z     return mod(*inputs)
2025-08-26T20:52:46.9182786Z 
2025-08-26T20:52:46.9182901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9183290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9183636Z     return mod(*inputs)
2025-08-26T20:52:46.9183749Z 
2025-08-26T20:52:46.9183858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:52:46.9184413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T20:52:46.9184766Z     return mod(*inputs)
2025-08-26T20:52:46.9184871Z 
2025-08-26T20:52:53.4595930Z Compilation time (from dynamo_timed): 8.035358493
2025-08-26T20:52:53.4596276Z pass
2025-08-26T20:52:53.4602465Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:52:53.4603396Z TIMING: _recursive_pre_grad_passes:0.00368 _recursive_joint_graph_passes:0.31001 _recursive_post_grad_passes:0.01689 async_compile.wait:0.74803 code_gen:6.52007 inductor_compile:6.65726 backend_compile:7.74604 gc:0.00086 entire_frame_compile:8.03536 total_wall_time:8.03536
2025-08-26T20:52:53.4604464Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:296 | FakeTensorMode.__torch_dispatch__:1188 | ProxyTorchDispatchMode.__torch_dispatch__:289
2025-08-26T20:52:53.4605027Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-08-26T20:52:57.1135630Z 
2025-08-26T20:52:57.7886410Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:52:57.7886847Z 
2025-08-26T20:52:57.7925180Z config.json:   0% 0.00/684 [00:00<?, ?B/s]
2025-08-26T20:52:57.7925651Z config.json: 100% 684/684 [00:00<00:00, 168kB/s]
2025-08-26T20:52:58.9939777Z 
2025-08-26T20:52:58.9943929Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:52:58.9948776Z cpu  eval  hf_Albert                          
2025-08-26T20:53:00.0886766Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:00.6190688Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:01.1184229Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:06.6331231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6331734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6332148Z     return mod(**inputs)
2025-08-26T20:53:06.6332738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6333192Z     outputs = self.albert(
2025-08-26T20:53:06.6334010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 700, in forward
2025-08-26T20:53:06.6334509Z     embedding_output = self.embeddings(
2025-08-26T20:53:06.6334932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 239, in forward
2025-08-26T20:53:06.6335350Z     embeddings += position_embeddings
2025-08-26T20:53:06.6335494Z 
2025-08-26T20:53:06.6335623Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6335854Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6336069Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6336295Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6336518Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6336730Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6336936Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6337168Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6337396Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6337618Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6337846Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6338069Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6338333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6338745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6339113Z     return mod(**inputs)
2025-08-26T20:53:06.6339520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6339965Z     outputs = self.albert(
2025-08-26T20:53:06.6340512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6340982Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6341416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 520, in forward
2025-08-26T20:53:06.6341901Z     hidden_states = self.embedding_hidden_mapping_in(hidden_states)
2025-08-26T20:53:06.6342111Z 
2025-08-26T20:53:06.6342232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6342644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6343000Z     return mod(**inputs)
2025-08-26T20:53:06.6346495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6346927Z     outputs = self.albert(
2025-08-26T20:53:06.6347343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6347771Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6348181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6348667Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6349141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6349713Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6350280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6350927Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6351484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6351905Z     self.query(hidden_states)
2025-08-26T20:53:06.6352036Z 
2025-08-26T20:53:06.6352163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6352674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6353041Z     return mod(**inputs)
2025-08-26T20:53:06.6353442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6353886Z     outputs = self.albert(
2025-08-26T20:53:06.6354291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6354711Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6355133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6355611Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6356091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6356823Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6357368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6358052Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6358607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6359029Z     self.key(hidden_states)
2025-08-26T20:53:06.6359163Z 
2025-08-26T20:53:06.6359279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6359700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6360028Z     return mod(**inputs)
2025-08-26T20:53:06.6360403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6360802Z     outputs = self.albert(
2025-08-26T20:53:06.6361181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6361575Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6361966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6362468Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6362904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6363427Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6363954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6364466Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6364995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6365414Z     self.value(hidden_states)
2025-08-26T20:53:06.6365549Z 
2025-08-26T20:53:06.6365641Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6365901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6366269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6366604Z     return mod(**inputs)
2025-08-26T20:53:06.6367007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6367427Z     outputs = self.albert(
2025-08-26T20:53:06.6367821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6368295Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6368720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6369188Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6369653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6370199Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6370754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6371299Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6371853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6372368Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6372674Z 
2025-08-26T20:53:06.6372803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6373212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6373581Z     return mod(**inputs)
2025-08-26T20:53:06.6373986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6374406Z     outputs = self.albert(
2025-08-26T20:53:06.6374798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6375256Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6375676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6376144Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6376604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6377146Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6377702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6378298Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6378839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6379293Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6379471Z 
2025-08-26T20:53:06.6379585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6379974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6380323Z     return mod(**inputs)
2025-08-26T20:53:06.6380714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6381118Z     outputs = self.albert(
2025-08-26T20:53:06.6381511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6381933Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6382345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6382806Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6383257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6383848Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6384415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6384828Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6385249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6385658Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6386067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6386487Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6386632Z 
2025-08-26T20:53:06.6386747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6387116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6387445Z     return mod(**inputs)
2025-08-26T20:53:06.6387825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6388220Z     outputs = self.albert(
2025-08-26T20:53:06.6388596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6388993Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6389391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6389850Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6390287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6390803Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6391321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6391730Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6392142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6392583Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6392990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6393404Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6393777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6394250Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6394492Z 
2025-08-26T20:53:06.6394615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6394984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6395310Z     return mod(**inputs)
2025-08-26T20:53:06.6395691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6396090Z     outputs = self.albert(
2025-08-26T20:53:06.6396468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6396868Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6397258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6397687Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6398155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6398662Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6399163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6399560Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6399959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6400353Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6400747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6401144Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6401290Z 
2025-08-26T20:53:06.6401396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6401756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6402078Z     return mod(**inputs)
2025-08-26T20:53:06.6402446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6402829Z     outputs = self.albert(
2025-08-26T20:53:06.6403203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6403610Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6404004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6404462Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6404905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6405437Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6405963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6406727Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6407298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6407797Z     self.query(hidden_states)
2025-08-26T20:53:06.6407955Z 
2025-08-26T20:53:06.6408073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6408481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6408844Z     return mod(**inputs)
2025-08-26T20:53:06.6409256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6409692Z     outputs = self.albert(
2025-08-26T20:53:06.6410104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6410536Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6410967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6411434Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6411906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6412462Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6413087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6413707Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6414255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6414690Z     self.key(hidden_states)
2025-08-26T20:53:06.6414824Z 
2025-08-26T20:53:06.6414940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6415338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6415702Z     return mod(**inputs)
2025-08-26T20:53:06.6416153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6416574Z     outputs = self.albert(
2025-08-26T20:53:06.6416978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6417421Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6417835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6418306Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6418779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6419351Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6419907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6420483Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6421026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6421462Z     self.value(hidden_states)
2025-08-26T20:53:06.6421591Z 
2025-08-26T20:53:06.6421691Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6421956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6422317Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6422650Z     return mod(**inputs)
2025-08-26T20:53:06.6423053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6423443Z     outputs = self.albert(
2025-08-26T20:53:06.6423811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6424208Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6424601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6425039Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6425476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6425986Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6426507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6427018Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6427529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6427998Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6428203Z 
2025-08-26T20:53:06.6428318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6428724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6429059Z     return mod(**inputs)
2025-08-26T20:53:06.6429428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6429818Z     outputs = self.albert(
2025-08-26T20:53:06.6430182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6430582Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6430975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6431413Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6431845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6432361Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6432882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6433395Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6433906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6434347Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6434534Z 
2025-08-26T20:53:06.6434638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6434986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6435298Z     return mod(**inputs)
2025-08-26T20:53:06.6435656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6436028Z     outputs = self.albert(
2025-08-26T20:53:06.6436374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6436748Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6437119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6437552Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6437958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6438454Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6438947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6439336Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6439725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6440100Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6440482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6440874Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6441009Z 
2025-08-26T20:53:06.6441121Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6441469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6441776Z     return mod(**inputs)
2025-08-26T20:53:06.6442133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6442507Z     outputs = self.albert(
2025-08-26T20:53:06.6443390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6443788Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6444160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6444584Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6445003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6445505Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6445999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6446394Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6446795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6447190Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6447576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6447963Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6448312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6448758Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6449014Z 
2025-08-26T20:53:06.6449128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6449478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6449787Z     return mod(**inputs)
2025-08-26T20:53:06.6450149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6450526Z     outputs = self.albert(
2025-08-26T20:53:06.6450884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6451264Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6451661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6452089Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6452631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6453222Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6453795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6454198Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6454616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6455005Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6455392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6455800Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6455956Z 
2025-08-26T20:53:06.6456066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6456441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6456778Z     return mod(**inputs)
2025-08-26T20:53:06.6457214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6457605Z     outputs = self.albert(
2025-08-26T20:53:06.6457983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6458381Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6458774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6459211Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6459639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6460164Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6460684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6461202Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6461717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6462110Z     self.query(hidden_states)
2025-08-26T20:53:06.6462236Z 
2025-08-26T20:53:06.6462347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6462715Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6463048Z     return mod(**inputs)
2025-08-26T20:53:06.6463462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6463852Z     outputs = self.albert(
2025-08-26T20:53:06.6464227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6464635Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6465028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6465457Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6465892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6466435Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6466934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6467423Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6467903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6468286Z     self.key(hidden_states)
2025-08-26T20:53:06.6468407Z 
2025-08-26T20:53:06.6468509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6468862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6469178Z     return mod(**inputs)
2025-08-26T20:53:06.6469530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6469908Z     outputs = self.albert(
2025-08-26T20:53:06.6470272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6470654Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6471021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6471480Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6471900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6472400Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6472899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6473385Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6473875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6474252Z     self.value(hidden_states)
2025-08-26T20:53:06.6474366Z 
2025-08-26T20:53:06.6474452Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6474688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6475031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6475346Z     return mod(**inputs)
2025-08-26T20:53:06.6475700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6476074Z     outputs = self.albert(
2025-08-26T20:53:06.6476429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6476803Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6477177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6477615Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6478032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6478532Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6479035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6479533Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6480040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6480490Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6480683Z 
2025-08-26T20:53:06.6480794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6481138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6481453Z     return mod(**inputs)
2025-08-26T20:53:06.6481811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6482185Z     outputs = self.albert(
2025-08-26T20:53:06.6482542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6482913Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6483276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6483698Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6484098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6484570Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6485084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6485562Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6486038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6486441Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6486600Z 
2025-08-26T20:53:06.6486699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6487049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6487369Z     return mod(**inputs)
2025-08-26T20:53:06.6487724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6488100Z     outputs = self.albert(
2025-08-26T20:53:06.6488454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6488838Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6489213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6489631Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6490040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6490538Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6491092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6491482Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6491876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6492259Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6492784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6505047Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6505239Z 
2025-08-26T20:53:06.6505374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6505869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6506214Z     return mod(**inputs)
2025-08-26T20:53:06.6506842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6507271Z     outputs = self.albert(
2025-08-26T20:53:06.6507666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6508066Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6508479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6508925Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6509374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6509898Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6510410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6510819Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6511235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6511634Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6512186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6512601Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6512967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6513434Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6513673Z 
2025-08-26T20:53:06.6513796Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6514171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6514493Z     return mod(**inputs)
2025-08-26T20:53:06.6514874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6515258Z     outputs = self.albert(
2025-08-26T20:53:06.6515623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6516000Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6516383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6516805Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6517227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6517725Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6518266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6518668Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6519068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6519465Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6519864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6520261Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6520440Z 
2025-08-26T20:53:06.6520548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6520905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6521254Z     return mod(**inputs)
2025-08-26T20:53:06.6521627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6522003Z     outputs = self.albert(
2025-08-26T20:53:06.6522380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6522777Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6523168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6523579Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6523997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6524513Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6525025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6525528Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6526069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6526463Z     self.query(hidden_states)
2025-08-26T20:53:06.6526584Z 
2025-08-26T20:53:06.6526701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6527066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6527387Z     return mod(**inputs)
2025-08-26T20:53:06.6527757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6528140Z     outputs = self.albert(
2025-08-26T20:53:06.6528512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6528904Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6529284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6529711Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6530142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6530656Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6531182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6531689Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6532222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6532692Z     self.key(hidden_states)
2025-08-26T20:53:06.6532815Z 
2025-08-26T20:53:06.6532933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6533341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6533703Z     return mod(**inputs)
2025-08-26T20:53:06.6534121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6534545Z     outputs = self.albert(
2025-08-26T20:53:06.6534930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6535353Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6535755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6536199Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6536640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6537164Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6537683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6538198Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6538718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6539121Z     self.value(hidden_states)
2025-08-26T20:53:06.6539241Z 
2025-08-26T20:53:06.6539340Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6539587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6539956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6540290Z     return mod(**inputs)
2025-08-26T20:53:06.6540708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6541104Z     outputs = self.albert(
2025-08-26T20:53:06.6541489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6541894Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6542292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6542731Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6543163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6543689Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6544217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6544734Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6545250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6545726Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6545940Z 
2025-08-26T20:53:06.6546049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6546424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6546775Z     return mod(**inputs)
2025-08-26T20:53:06.6547158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6547538Z     outputs = self.albert(
2025-08-26T20:53:06.6547913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6548300Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6548686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6549111Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6549528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6550059Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6550570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6551075Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6551579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6552001Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6552177Z 
2025-08-26T20:53:06.6552286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6552650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6552978Z     return mod(**inputs)
2025-08-26T20:53:06.6553345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6553738Z     outputs = self.albert(
2025-08-26T20:53:06.6554109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6554506Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6554898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6555358Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6555789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6556296Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6556805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6557205Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6557600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6558060Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6558465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6558862Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6558998Z 
2025-08-26T20:53:06.6559110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6559459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6559773Z     return mod(**inputs)
2025-08-26T20:53:06.6560133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6560513Z     outputs = self.albert(
2025-08-26T20:53:06.6560864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6561266Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6561646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6562085Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6562499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6562989Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6563485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6563909Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6564296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6564682Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6565057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6565452Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6565806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6566255Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6566482Z 
2025-08-26T20:53:06.6566595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6566943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6567260Z     return mod(**inputs)
2025-08-26T20:53:06.6567617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6567994Z     outputs = self.albert(
2025-08-26T20:53:06.6568343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6568727Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6569132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6569555Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6569971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6570462Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6570957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6571344Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6571729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6572109Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6572491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6573024Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6573188Z 
2025-08-26T20:53:06.6573307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6573702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6574059Z     return mod(**inputs)
2025-08-26T20:53:06.6574452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6574901Z     outputs = self.albert(
2025-08-26T20:53:06.6575290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6575672Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6576083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6576554Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6577023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6577577Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6578152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6578693Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6579243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6579663Z     self.query(hidden_states)
2025-08-26T20:53:06.6579793Z 
2025-08-26T20:53:06.6579918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6580311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6580659Z     return mod(**inputs)
2025-08-26T20:53:06.6581065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6581456Z     outputs = self.albert(
2025-08-26T20:53:06.6581843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6582236Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6582616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6583042Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6583465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6584014Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6584528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6585026Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6585535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6585923Z     self.key(hidden_states)
2025-08-26T20:53:06.6586042Z 
2025-08-26T20:53:06.6586157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6586520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6586836Z     return mod(**inputs)
2025-08-26T20:53:06.6587206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6587595Z     outputs = self.albert(
2025-08-26T20:53:06.6587965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6588355Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6588739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6589166Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6589595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6590118Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6590618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6591123Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6591623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6592010Z     self.value(hidden_states)
2025-08-26T20:53:06.6592124Z 
2025-08-26T20:53:06.6592213Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6592474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6592834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6593156Z     return mod(**inputs)
2025-08-26T20:53:06.6593521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6593896Z     outputs = self.albert(
2025-08-26T20:53:06.6594264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6594631Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6594997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6595403Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6595804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6596290Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6596777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6597259Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6597785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6598225Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6598422Z 
2025-08-26T20:53:06.6598523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6598876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6599190Z     return mod(**inputs)
2025-08-26T20:53:06.6599558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6599936Z     outputs = self.albert(
2025-08-26T20:53:06.6600310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6600766Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6601200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6601677Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6602143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6602709Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6603261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6603815Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6604379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6604842Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6605028Z 
2025-08-26T20:53:06.6605147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6605542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6605893Z     return mod(**inputs)
2025-08-26T20:53:06.6606291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6606919Z     outputs = self.albert(
2025-08-26T20:53:06.6607415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6607859Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6608294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6608759Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6609239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6609803Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6610370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6610813Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6611268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6611721Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6612168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6612679Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6612840Z 
2025-08-26T20:53:06.6612969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6613433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6613805Z     return mod(**inputs)
2025-08-26T20:53:06.6614204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6614624Z     outputs = self.albert(
2025-08-26T20:53:06.6615022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6615438Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6615862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6616332Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6616795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6617352Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6617899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6618333Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6618763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6619193Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6619615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6620099Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6620483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6620980Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6621220Z 
2025-08-26T20:53:06.6621338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6621702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6622033Z     return mod(**inputs)
2025-08-26T20:53:06.6622410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6622828Z     outputs = self.albert(
2025-08-26T20:53:06.6623202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6623598Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6623998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6624438Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6624877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6625399Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6625919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6626331Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6626741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6627148Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6627546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6627957Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6628107Z 
2025-08-26T20:53:06.6628252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6628627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6628963Z     return mod(**inputs)
2025-08-26T20:53:06.6629334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6629736Z     outputs = self.albert(
2025-08-26T20:53:06.6630120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6630520Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6630920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6631351Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6631793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6632319Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6632845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6633361Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6633870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6634292Z     self.query(hidden_states)
2025-08-26T20:53:06.6634420Z 
2025-08-26T20:53:06.6634529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6634900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6635228Z     return mod(**inputs)
2025-08-26T20:53:06.6635581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6635957Z     outputs = self.albert(
2025-08-26T20:53:06.6636317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6636694Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6637061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6637498Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6637914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6638412Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6638913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6639399Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6639889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6640265Z     self.key(hidden_states)
2025-08-26T20:53:06.6640377Z 
2025-08-26T20:53:06.6640487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6640837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6641143Z     return mod(**inputs)
2025-08-26T20:53:06.6641497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6641869Z     outputs = self.albert(
2025-08-26T20:53:06.6642258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6642640Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6643011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6643426Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6643839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6644337Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6644828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6645316Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6645804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6646178Z     self.value(hidden_states)
2025-08-26T20:53:06.6646292Z 
2025-08-26T20:53:06.6646382Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6646614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6646966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6647282Z     return mod(**inputs)
2025-08-26T20:53:06.6647639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6648037Z     outputs = self.albert(
2025-08-26T20:53:06.6648389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6648766Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6649141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6649559Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6649965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6650461Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6650976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6651466Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6651968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6652429Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6652695Z 
2025-08-26T20:53:06.6652812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6653179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6653508Z     return mod(**inputs)
2025-08-26T20:53:06.6653883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6654305Z     outputs = self.albert(
2025-08-26T20:53:06.6654712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6655146Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6655574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6656045Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6656551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6657070Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6657598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6658113Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6658626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6659069Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6659234Z 
2025-08-26T20:53:06.6659342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6659701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6660022Z     return mod(**inputs)
2025-08-26T20:53:06.6660390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6660775Z     outputs = self.albert(
2025-08-26T20:53:06.6661131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6661520Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6661903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6662330Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6662774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6663268Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6663778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6664173Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6664570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6664966Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6665373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6665777Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6665920Z 
2025-08-26T20:53:06.6666025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6666382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6666693Z     return mod(**inputs)
2025-08-26T20:53:06.6667060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6667444Z     outputs = self.albert(
2025-08-26T20:53:06.6667808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6668193Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6668569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6668998Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6669416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6669932Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6670411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6670817Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6671201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6671575Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6671949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6672330Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6672668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6673107Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6673334Z 
2025-08-26T20:53:06.6673436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6673778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6674080Z     return mod(**inputs)
2025-08-26T20:53:06.6674436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6674809Z     outputs = self.albert(
2025-08-26T20:53:06.6675159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6675528Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6675886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6676313Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6676722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6677211Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6677703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6678075Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6678464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6678860Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6679238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6679624Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6679756Z 
2025-08-26T20:53:06.6679856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6680203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6680510Z     return mod(**inputs)
2025-08-26T20:53:06.6680864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6681226Z     outputs = self.albert(
2025-08-26T20:53:06.6681578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6681951Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6682319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6682727Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6683127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6683612Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6684129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6684611Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6685086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6685452Z     self.query(hidden_states)
2025-08-26T20:53:06.6685571Z 
2025-08-26T20:53:06.6685671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6686015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6686321Z     return mod(**inputs)
2025-08-26T20:53:06.6686668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6687029Z     outputs = self.albert(
2025-08-26T20:53:06.6687384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6687755Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6688122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6688519Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6688930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6689414Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6689919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6690406Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6690892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6691270Z     self.key(hidden_states)
2025-08-26T20:53:06.6691392Z 
2025-08-26T20:53:06.6691498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6691851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6692186Z     return mod(**inputs)
2025-08-26T20:53:06.6692606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6692997Z     outputs = self.albert(
2025-08-26T20:53:06.6693389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6693835Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6694284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6694761Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6695247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6695822Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6696398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6696956Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6697514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6697937Z     self.value(hidden_states)
2025-08-26T20:53:06.6698072Z 
2025-08-26T20:53:06.6698163Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6698469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6698875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6699239Z     return mod(**inputs)
2025-08-26T20:53:06.6699647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6700079Z     outputs = self.albert(
2025-08-26T20:53:06.6700487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6700911Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6701338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6701811Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6702280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6702843Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6703387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6703940Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6704491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6705030Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6705244Z 
2025-08-26T20:53:06.6705366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6705766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6706111Z     return mod(**inputs)
2025-08-26T20:53:06.6706694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6707108Z     outputs = self.albert(
2025-08-26T20:53:06.6707497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6707932Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6708401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6708848Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6709286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6709796Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6710354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6710901Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6711445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6711909Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6712089Z 
2025-08-26T20:53:06.6712207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6712601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6712953Z     return mod(**inputs)
2025-08-26T20:53:06.6713348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6713777Z     outputs = self.albert(
2025-08-26T20:53:06.6714260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6714692Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6715113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6715532Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6715952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6716442Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6716941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6717329Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6717729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6718120Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6718498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6718892Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6719034Z 
2025-08-26T20:53:06.6719137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6719486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6719823Z     return mod(**inputs)
2025-08-26T20:53:06.6720185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6720563Z     outputs = self.albert(
2025-08-26T20:53:06.6720920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6721302Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6721668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6722080Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6722495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6723010Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6723511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6723891Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6724277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6724662Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6725046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6725439Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6725778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6726222Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6726455Z 
2025-08-26T20:53:06.6726560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6726909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6727227Z     return mod(**inputs)
2025-08-26T20:53:06.6727577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6727989Z     outputs = self.albert(
2025-08-26T20:53:06.6728344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6728717Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6729077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6729483Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6729891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6730375Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6730870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6731240Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6731623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6731997Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6732384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6732886Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6733041Z 
2025-08-26T20:53:06.6733159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6733550Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6733926Z     return mod(**inputs)
2025-08-26T20:53:06.6734316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6734690Z     outputs = self.albert(
2025-08-26T20:53:06.6735062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6735454Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6735840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6736436Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6736875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6737386Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6737879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6738419Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6738893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6739254Z     self.query(hidden_states)
2025-08-26T20:53:06.6739370Z 
2025-08-26T20:53:06.6739472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6739815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6740122Z     return mod(**inputs)
2025-08-26T20:53:06.6740465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6740820Z     outputs = self.albert(
2025-08-26T20:53:06.6741165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6741535Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6741928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6742335Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6742731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6743214Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6743695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6744170Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6744643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6744999Z     self.key(hidden_states)
2025-08-26T20:53:06.6745122Z 
2025-08-26T20:53:06.6745225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6745567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6745873Z     return mod(**inputs)
2025-08-26T20:53:06.6746215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6746578Z     outputs = self.albert(
2025-08-26T20:53:06.6746927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6747298Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6747691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6748092Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6748501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6748980Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6749460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6749930Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6750415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6750783Z     self.value(hidden_states)
2025-08-26T20:53:06.6750905Z 
2025-08-26T20:53:06.6750985Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6751219Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6751556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6751852Z     return mod(**inputs)
2025-08-26T20:53:06.6752200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6752564Z     outputs = self.albert(
2025-08-26T20:53:06.6752908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6753268Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6753635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6754040Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6754451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6754933Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6755442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6755917Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6756386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6756819Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6757006Z 
2025-08-26T20:53:06.6757113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6757445Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6757748Z     return mod(**inputs)
2025-08-26T20:53:06.6758093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6758458Z     outputs = self.albert(
2025-08-26T20:53:06.6758812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6759173Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6759541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6759950Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6760352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6760836Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6761334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6761813Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6762287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6762689Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6762842Z 
2025-08-26T20:53:06.6762951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6763285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6763610Z     return mod(**inputs)
2025-08-26T20:53:06.6763957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6764326Z     outputs = self.albert(
2025-08-26T20:53:06.6764666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6765040Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6765409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6765815Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6766219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6766694Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6767181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6767559Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6767939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6768314Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6768721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6768814Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6768818Z 
2025-08-26T20:53:06.6768921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6769122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6769191Z     return mod(**inputs)
2025-08-26T20:53:06.6769439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6769516Z     outputs = self.albert(
2025-08-26T20:53:06.6769764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6769844Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6770090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6770211Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6770458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6770649Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6770906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6770985Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6771259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6771336Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6771585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6771681Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6771888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6772071Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6772075Z 
2025-08-26T20:53:06.6772179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6772409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6772477Z     return mod(**inputs)
2025-08-26T20:53:06.6772826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6772918Z     outputs = self.albert(
2025-08-26T20:53:06.6773201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6773300Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6773587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6773712Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6774044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6774244Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6774503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6774599Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6774855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6774931Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6775221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6775319Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6775323Z 
2025-08-26T20:53:06.6775427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6775626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6775694Z     return mod(**inputs)
2025-08-26T20:53:06.6775941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6776019Z     outputs = self.albert(
2025-08-26T20:53:06.6776262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6776344Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6776590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6776708Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6776952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6777143Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6777399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6777600Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6777852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6777923Z     self.query(hidden_states)
2025-08-26T20:53:06.6777926Z 
2025-08-26T20:53:06.6778038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6778229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6778296Z     return mod(**inputs)
2025-08-26T20:53:06.6778546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6778633Z     outputs = self.albert(
2025-08-26T20:53:06.6778887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6778962Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6779206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6779322Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6779574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6779772Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6780017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6780206Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6780450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6780522Z     self.key(hidden_states)
2025-08-26T20:53:06.6780525Z 
2025-08-26T20:53:06.6780635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6780825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6780898Z     return mod(**inputs)
2025-08-26T20:53:06.6781177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6781247Z     outputs = self.albert(
2025-08-26T20:53:06.6781502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6781576Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6781834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6781942Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6782190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6782387Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6782638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6782831Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6783082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6783160Z     self.value(hidden_states)
2025-08-26T20:53:06.6783165Z 
2025-08-26T20:53:06.6783248Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6783351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6783569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6783635Z     return mod(**inputs)
2025-08-26T20:53:06.6783886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6783954Z     outputs = self.albert(
2025-08-26T20:53:06.6784201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6784282Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6784525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6784642Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6784910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6785105Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6785352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6785532Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6785786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6785930Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6785933Z 
2025-08-26T20:53:06.6786041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6786230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6786306Z     return mod(**inputs)
2025-08-26T20:53:06.6786550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6786620Z     outputs = self.albert(
2025-08-26T20:53:06.6786871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6786943Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6787232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6787341Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6787586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6787781Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6788026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6788214Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6788458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6788574Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6788580Z 
2025-08-26T20:53:06.6788681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6788873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6788949Z     return mod(**inputs)
2025-08-26T20:53:06.6789195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6789273Z     outputs = self.albert(
2025-08-26T20:53:06.6789517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6789608Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6789862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6789969Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6790225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6790413Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6790664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6790764Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6791017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6791101Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6791344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6791429Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6791432Z 
2025-08-26T20:53:06.6791533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6791727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6791791Z     return mod(**inputs)
2025-08-26T20:53:06.6792029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6792103Z     outputs = self.albert(
2025-08-26T20:53:06.6792345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6792424Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6792663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6792772Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6793020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6793231Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6793479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6793557Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6793802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6793883Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6794126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6794218Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6794418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6794598Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6794602Z 
2025-08-26T20:53:06.6794702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6794889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6794962Z     return mod(**inputs)
2025-08-26T20:53:06.6795204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6795278Z     outputs = self.albert(
2025-08-26T20:53:06.6795546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6795617Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6795862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6795969Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6796216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6796396Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6796642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6796748Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6796991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6797076Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6797319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6797410Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6797415Z 
2025-08-26T20:53:06.6797515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6797718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6797782Z     return mod(**inputs)
2025-08-26T20:53:06.6798021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6798099Z     outputs = self.albert(
2025-08-26T20:53:06.6798343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6798426Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6798669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6798776Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6799060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6799250Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6799503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6799688Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6799939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6800012Z     self.query(hidden_states)
2025-08-26T20:53:06.6800015Z 
2025-08-26T20:53:06.6800118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6800320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6800385Z     return mod(**inputs)
2025-08-26T20:53:06.6800631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6800698Z     outputs = self.albert(
2025-08-26T20:53:06.6800936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6801016Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6801256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6801394Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6801638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6801834Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6802081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6802261Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6802512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6802601Z     self.key(hidden_states)
2025-08-26T20:53:06.6802604Z 
2025-08-26T20:53:06.6802714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6802903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6802971Z     return mod(**inputs)
2025-08-26T20:53:06.6803230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6803297Z     outputs = self.albert(
2025-08-26T20:53:06.6803545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6803615Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6803863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6803969Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6804209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6804399Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6804639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6804823Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6805090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6805160Z     self.value(hidden_states)
2025-08-26T20:53:06.6805169Z 
2025-08-26T20:53:06.6805249Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6805348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6805539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6805604Z     return mod(**inputs)
2025-08-26T20:53:06.6805850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6805917Z     outputs = self.albert(
2025-08-26T20:53:06.6806152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6806232Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6806640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6806781Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6807074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6807299Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6807599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6807847Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6808133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6808294Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6808301Z 
2025-08-26T20:53:06.6808424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6808647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6808720Z     return mod(**inputs)
2025-08-26T20:53:06.6809011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6809116Z     outputs = self.albert(
2025-08-26T20:53:06.6809446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6809525Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6809792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6809916Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6810209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6810432Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6810733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6810948Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6811254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6811380Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6811392Z 
2025-08-26T20:53:06.6811506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6811720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6811851Z     return mod(**inputs)
2025-08-26T20:53:06.6812131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6812216Z     outputs = self.albert(
2025-08-26T20:53:06.6812491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6812622Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6812914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6813039Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6813319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6813529Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6813805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6813906Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6814188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6814284Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6814563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6814681Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6814685Z 
2025-08-26T20:53:06.6814798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6815013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6815095Z     return mod(**inputs)
2025-08-26T20:53:06.6815372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6815460Z     outputs = self.albert(
2025-08-26T20:53:06.6815733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6815816Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6816123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6816246Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6816530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6816741Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6817027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6817117Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6817395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6817489Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6817769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6817873Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6818105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6818301Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6818312Z 
2025-08-26T20:53:06.6818426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6818683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6818769Z     return mod(**inputs)
2025-08-26T20:53:06.6819052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6819136Z     outputs = self.albert(
2025-08-26T20:53:06.6819414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6819498Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6819782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6819906Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6820180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6820374Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6820629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6820720Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6820975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6821063Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6821319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6821430Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6821433Z 
2025-08-26T20:53:06.6821536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6821727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6821804Z     return mod(**inputs)
2025-08-26T20:53:06.6822055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6822129Z     outputs = self.albert(
2025-08-26T20:53:06.6822377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6822471Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6822734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6822846Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6823105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6823298Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6823558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6823745Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6823995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6824076Z     self.query(hidden_states)
2025-08-26T20:53:06.6824079Z 
2025-08-26T20:53:06.6824183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6824385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6824452Z     return mod(**inputs)
2025-08-26T20:53:06.6824702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6824777Z     outputs = self.albert(
2025-08-26T20:53:06.6825056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6825141Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6825396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6825514Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6825771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6825965Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6826226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6826409Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6826670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6826741Z     self.key(hidden_states)
2025-08-26T20:53:06.6826744Z 
2025-08-26T20:53:06.6826857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6827050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6827120Z     return mod(**inputs)
2025-08-26T20:53:06.6827381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6827472Z     outputs = self.albert(
2025-08-26T20:53:06.6827729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6827803Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6828057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6828176Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6828429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6828627Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6828900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6829097Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6829348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6829420Z     self.value(hidden_states)
2025-08-26T20:53:06.6829423Z 
2025-08-26T20:53:06.6829517Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6829622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6829821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6829889Z     return mod(**inputs)
2025-08-26T20:53:06.6830141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6830222Z     outputs = self.albert(
2025-08-26T20:53:06.6830473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6830557Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6830805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6830915Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6831200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6831396Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6831657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6831843Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6832096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6832244Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6832248Z 
2025-08-26T20:53:06.6832352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6832552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6832633Z     return mod(**inputs)
2025-08-26T20:53:06.6832882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6832948Z     outputs = self.albert(
2025-08-26T20:53:06.6833192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6833265Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6833505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6833638Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6833877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6834070Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6834308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6834487Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6834731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6834857Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6834861Z 
2025-08-26T20:53:06.6834967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6835154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6835224Z     return mod(**inputs)
2025-08-26T20:53:06.6835462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6835530Z     outputs = self.albert(
2025-08-26T20:53:06.6835779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6835850Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6836097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6836204Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6836445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6836639Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6836883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6836970Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6837249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6837332Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6837576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6837657Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6837660Z 
2025-08-26T20:53:06.6837766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6837953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6838025Z     return mod(**inputs)
2025-08-26T20:53:06.6838261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6838326Z     outputs = self.albert(
2025-08-26T20:53:06.6838573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6838643Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6838887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6838992Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6839238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6839421Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6839674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6839760Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6840003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6840084Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6840325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6840415Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6840614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6840822Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6840827Z 
2025-08-26T20:53:06.6840933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6841118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6841192Z     return mod(**inputs)
2025-08-26T20:53:06.6841431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6841499Z     outputs = self.albert(
2025-08-26T20:53:06.6841744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6841814Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6842059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6842166Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6842412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6842596Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6842875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6842964Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6843207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6843287Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6843534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6843615Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6843618Z 
2025-08-26T20:53:06.6843726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6843914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6843986Z     return mod(**inputs)
2025-08-26T20:53:06.6844225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6844299Z     outputs = self.albert(
2025-08-26T20:53:06.6844536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6844608Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6844855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6844961Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6845205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6845407Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6845647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6845834Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6846071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 380, in forward
2025-08-26T20:53:06.6846147Z     self.query(hidden_states)
2025-08-26T20:53:06.6846149Z 
2025-08-26T20:53:06.6846249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6846460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6846523Z     return mod(**inputs)
2025-08-26T20:53:06.6846764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6846841Z     outputs = self.albert(
2025-08-26T20:53:06.6847080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6847157Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6847398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6847505Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6847750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6847933Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6848180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6848357Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6848600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 385, in forward
2025-08-26T20:53:06.6848667Z     self.key(hidden_states)
2025-08-26T20:53:06.6848697Z 
2025-08-26T20:53:06.6848798Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6848993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6849057Z     return mod(**inputs)
2025-08-26T20:53:06.6849310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6849381Z     outputs = self.albert(
2025-08-26T20:53:06.6849627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6849706Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6849950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6850064Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6850308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6850506Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6850756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6850939Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6851195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 390, in forward
2025-08-26T20:53:06.6851282Z     self.value(hidden_states)
2025-08-26T20:53:06.6851285Z 
2025-08-26T20:53:06.6851375Z cudagraph partition due to non gpu ops
2025-08-26T20:53:06.6851478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6851668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6851743Z     return mod(**inputs)
2025-08-26T20:53:06.6851990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6852066Z     outputs = self.albert(
2025-08-26T20:53:06.6852309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6852408Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6852743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6852863Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6853121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6853341Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6853640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6853843Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6854139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-26T20:53:06.6854303Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:06.6854307Z 
2025-08-26T20:53:06.6854430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6854635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6854703Z     return mod(**inputs)
2025-08-26T20:53:06.6855024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6855127Z     outputs = self.albert(
2025-08-26T20:53:06.6855380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6855463Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6855715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6855836Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6856086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6856289Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6856540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-26T20:53:06.6856727Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-26T20:53:06.6856987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 415, in forward
2025-08-26T20:53:06.6857099Z     projected_context_layer = self.dense(attention_output)
2025-08-26T20:53:06.6857102Z 
2025-08-26T20:53:06.6857213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6857409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6857477Z     return mod(**inputs)
2025-08-26T20:53:06.6857756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6857822Z     outputs = self.albert(
2025-08-26T20:53:06.6858075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6858150Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6858400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6858508Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6858751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6858965Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6859210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6859301Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6859549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6859625Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6859886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 462, in ff_chunk
2025-08-26T20:53:06.6859966Z     ffn_output = self.ffn(attention_output)
2025-08-26T20:53:06.6859970Z 
2025-08-26T20:53:06.6860078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6860270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6860345Z     return mod(**inputs)
2025-08-26T20:53:06.6860591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6860660Z     outputs = self.albert(
2025-08-26T20:53:06.6860916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6860989Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6861280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6861390Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6861637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6861846Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6862094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6862183Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6862434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6862517Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6862768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-26T20:53:06.6862852Z     ffn_output = self.activation(ffn_output)
2025-08-26T20:53:06.6863063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:53:06.6863240Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:53:06.6863245Z 
2025-08-26T20:53:06.6863355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6863547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6863632Z     return mod(**inputs)
2025-08-26T20:53:06.6863887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-26T20:53:06.6863954Z     outputs = self.albert(
2025-08-26T20:53:06.6864211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-26T20:53:06.6864283Z     encoder_outputs = self.encoder(
2025-08-26T20:53:06.6864538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-26T20:53:06.6864646Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-26T20:53:06.6864892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-26T20:53:06.6865115Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-26T20:53:06.6865364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-26T20:53:06.6865451Z     ffn_output = apply_chunking_to_forward(
2025-08-26T20:53:06.6865703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:53:06.6865781Z     return forward_fn(*input_tensors)
2025-08-26T20:53:06.6866039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 464, in ff_chunk
2025-08-26T20:53:06.6866123Z     ffn_output = self.ffn_output(ffn_output)
2025-08-26T20:53:06.6866126Z 
2025-08-26T20:53:06.6866236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6866427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6866500Z     return mod(**inputs)
2025-08-26T20:53:06.6866748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-26T20:53:06.6866864Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-26T20:53:06.6867116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 866, in forward
2025-08-26T20:53:06.6867232Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:53:06.6867236Z 
2025-08-26T20:53:06.6867345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:06.6867533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:06.6867598Z     return mod(**inputs)
2025-08-26T20:53:06.6867903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-26T20:53:06.6868017Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-26T20:53:06.6868263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 869, in forward
2025-08-26T20:53:06.6868352Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:53:06.6868355Z 
2025-08-26T20:53:14.5141046Z Compilation time (from dynamo_timed): 11.759320836
2025-08-26T20:53:14.5141363Z pass
2025-08-26T20:53:14.5150709Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:14.5152767Z TIMING: _recursive_pre_grad_passes:0.00618 _recursive_joint_graph_passes:0.59594 _recursive_post_grad_passes:0.06666 async_compile.wait:0.73026 code_gen:7.37462 inductor_compile:8.33929 backend_compile:10.52721 gc:0.00052 entire_frame_compile:11.75932 total_wall_time:11.75932
2025-08-26T20:53:14.5153703Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:11072 | FakeTensor.__torch_dispatch__:4399 | ProxyTorchDispatchMode.__torch_dispatch__:3914
2025-08-26T20:53:14.5154202Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique)
2025-08-26T20:53:18.6385420Z 
2025-08-26T20:53:19.2633436Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:19.2633882Z 
2025-08-26T20:53:19.2634365Z config.json: 0.00B [00:00, ?B/s]
2025-08-26T20:53:19.2634586Z config.json: 1.72kB [00:00, 10.3MB/s]
2025-08-26T20:53:22.6310267Z 
2025-08-26T20:53:22.6312448Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:53:22.6328617Z cpu  eval  hf_Bart                            
2025-08-26T20:53:24.6508261Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:25.4492734Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:26.2817424Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:34.7113755Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7114190Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7121101Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7121423Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7121665Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7122051Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7122436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7123097Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7123692Z     return mod(**inputs)
2025-08-26T20:53:34.7124221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7124659Z     outputs = self.model(
2025-08-26T20:53:34.7125068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7125472Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7125858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7126248Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7126618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7127189Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7128199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7128820Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7129250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7129727Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7129953Z 
2025-08-26T20:53:34.7130069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7130469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7130821Z     return mod(**inputs)
2025-08-26T20:53:34.7131226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7131631Z     outputs = self.model(
2025-08-26T20:53:34.7132017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7132411Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7132993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7133389Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7133756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7134143Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7134542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7135138Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7135553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7135981Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7136138Z 
2025-08-26T20:53:34.7136276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7136646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7136987Z     return mod(**inputs)
2025-08-26T20:53:34.7137365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7137817Z     outputs = self.model(
2025-08-26T20:53:34.7138182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7138622Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7139067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7139490Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7139876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7140259Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7140653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7141063Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7141468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7141864Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7142022Z 
2025-08-26T20:53:34.7142107Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7142334Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7142554Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7142771Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7143008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7143502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7143883Z     return mod(**inputs)
2025-08-26T20:53:34.7144257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7144679Z     outputs = self.model(
2025-08-26T20:53:34.7145081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7145558Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7145978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7146373Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7146727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7147098Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7147496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7148020Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7148418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7148836Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7149304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7149830Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7150023Z 
2025-08-26T20:53:34.7150144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7150516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7150856Z     return mod(**inputs)
2025-08-26T20:53:34.7151372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7151787Z     outputs = self.model(
2025-08-26T20:53:34.7152177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7152598Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7153146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7153561Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7153943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7154333Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7154746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7155181Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7155735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7156152Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7156608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7157122Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7157389Z 
2025-08-26T20:53:34.7157558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7157962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7158313Z     return mod(**inputs)
2025-08-26T20:53:34.7158697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7159120Z     outputs = self.model(
2025-08-26T20:53:34.7159548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7159956Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7160356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7160769Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7161149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7161677Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7162103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7162535Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7162969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7163393Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7163541Z 
2025-08-26T20:53:34.7163666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7164058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7164404Z     return mod(**inputs)
2025-08-26T20:53:34.7164797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7165203Z     outputs = self.model(
2025-08-26T20:53:34.7165614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7166189Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7166595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7167016Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7167447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7168043Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7168567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7169056Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7169250Z 
2025-08-26T20:53:34.7169376Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7169949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7170307Z     return mod(**inputs)
2025-08-26T20:53:34.7170742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7171300Z     outputs = self.model(
2025-08-26T20:53:34.7171707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7172129Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7172614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7173097Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7173699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7174286Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7174706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7175277Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7175869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7176331Z     return self.act(input)
2025-08-26T20:53:34.7176449Z 
2025-08-26T20:53:34.7176566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7176933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7177258Z     return mod(**inputs)
2025-08-26T20:53:34.7177627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7178019Z     outputs = self.model(
2025-08-26T20:53:34.7178389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7178786Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7179377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7179773Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7180155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7180546Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7180965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:53:34.7181393Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7181553Z 
2025-08-26T20:53:34.7181667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7182056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7182426Z     return mod(**inputs)
2025-08-26T20:53:34.7182960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7183413Z     outputs = self.model(
2025-08-26T20:53:34.7183784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7184179Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7184558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7184951Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7185312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7185776Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7186202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7186827Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7187257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7187739Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7187947Z 
2025-08-26T20:53:34.7188066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7188428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7188788Z     return mod(**inputs)
2025-08-26T20:53:34.7189179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7189599Z     outputs = self.model(
2025-08-26T20:53:34.7189995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7190606Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7191022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7191437Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7192012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7192423Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7192836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7193273Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7193727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7194330Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7194483Z 
2025-08-26T20:53:34.7194601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7195148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7195501Z     return mod(**inputs)
2025-08-26T20:53:34.7195895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7196322Z     outputs = self.model(
2025-08-26T20:53:34.7196711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7197149Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7197536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7197929Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7198283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7198681Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7199079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7199499Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7199914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7200312Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7200469Z 
2025-08-26T20:53:34.7200555Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7200783Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7201005Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7201248Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7201490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7201867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7202206Z     return mod(**inputs)
2025-08-26T20:53:34.7202581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7202969Z     outputs = self.model(
2025-08-26T20:53:34.7203352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7203751Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7204143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7204531Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7204894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7205273Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7205670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7206081Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7206484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7207116Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7207672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7208174Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7208364Z 
2025-08-26T20:53:34.7208481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7208843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7209180Z     return mod(**inputs)
2025-08-26T20:53:34.7209551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7209945Z     outputs = self.model(
2025-08-26T20:53:34.7210316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7210704Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7211092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7211484Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7211843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7212212Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7212698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7213126Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7213596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7214048Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7214520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7215002Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7215182Z 
2025-08-26T20:53:34.7215296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7215688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7216044Z     return mod(**inputs)
2025-08-26T20:53:34.7216458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7216866Z     outputs = self.model(
2025-08-26T20:53:34.7217257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7217673Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7218071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7218492Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7218870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7219267Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7219678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7220110Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7220540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7220958Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7221106Z 
2025-08-26T20:53:34.7221227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7221618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7221963Z     return mod(**inputs)
2025-08-26T20:53:34.7222391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7222810Z     outputs = self.model(
2025-08-26T20:53:34.7223208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7223620Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7224031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7224448Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7224833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7225233Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7225645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7226115Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7226315Z 
2025-08-26T20:53:34.7226443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7226814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7227143Z     return mod(**inputs)
2025-08-26T20:53:34.7227515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7227906Z     outputs = self.model(
2025-08-26T20:53:34.7228280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7228694Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7229073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7229465Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7229827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7230202Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7230600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7231032Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7231472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7231831Z     return self.act(input)
2025-08-26T20:53:34.7231951Z 
2025-08-26T20:53:34.7232072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7232439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7232776Z     return mod(**inputs)
2025-08-26T20:53:34.7233144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7233543Z     outputs = self.model(
2025-08-26T20:53:34.7233917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7234305Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7234696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7235092Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7235455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7235827Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7236225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:53:34.7236630Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7236774Z 
2025-08-26T20:53:34.7237285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7237650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7237974Z     return mod(**inputs)
2025-08-26T20:53:34.7238340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7238728Z     outputs = self.model(
2025-08-26T20:53:34.7239094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7239485Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7239864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7240249Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7240608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7240983Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7241368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7241775Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7242180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7242650Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7242870Z 
2025-08-26T20:53:34.7242983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7243362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7243695Z     return mod(**inputs)
2025-08-26T20:53:34.7244064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7244456Z     outputs = self.model(
2025-08-26T20:53:34.7244845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7245255Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7245675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7246116Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7246500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7246867Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7247263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7247674Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7248082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7248480Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7248620Z 
2025-08-26T20:53:34.7248727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7249096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7249430Z     return mod(**inputs)
2025-08-26T20:53:34.7249801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7250186Z     outputs = self.model(
2025-08-26T20:53:34.7250551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7250942Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7251328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7251797Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7252169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7252642Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7253065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7253515Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7253950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7254374Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7254542Z 
2025-08-26T20:53:34.7254633Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7254875Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7255109Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7255329Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7255591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7255982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7256334Z     return mod(**inputs)
2025-08-26T20:53:34.7256729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7257134Z     outputs = self.model(
2025-08-26T20:53:34.7257525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7257969Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7258375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7258788Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7259167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7259563Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7259978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7260415Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7260834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7261294Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7261781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7262306Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7262507Z 
2025-08-26T20:53:34.7262627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7263011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7263364Z     return mod(**inputs)
2025-08-26T20:53:34.7263756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7264169Z     outputs = self.model(
2025-08-26T20:53:34.7264550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7264967Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7265371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7265790Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7266170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7266556Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7267011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7267446Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7267877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7268314Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7268790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7269287Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7269472Z 
2025-08-26T20:53:34.7269600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7269987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7270335Z     return mod(**inputs)
2025-08-26T20:53:34.7270707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7271092Z     outputs = self.model(
2025-08-26T20:53:34.7271458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7271849Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7272224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7272614Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7272972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7273363Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7273755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7274158Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7274566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7274964Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7275105Z 
2025-08-26T20:53:34.7275218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7275578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7275932Z     return mod(**inputs)
2025-08-26T20:53:34.7276296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7276682Z     outputs = self.model(
2025-08-26T20:53:34.7277047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7277430Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7277819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7278204Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7278558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7278918Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7279307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7279745Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7279918Z 
2025-08-26T20:53:34.7280034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7280397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7280719Z     return mod(**inputs)
2025-08-26T20:53:34.7281088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7281512Z     outputs = self.model(
2025-08-26T20:53:34.7281881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7282272Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7282652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7283045Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7283404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7283779Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7284166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7284600Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7284996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7285347Z     return self.act(input)
2025-08-26T20:53:34.7285461Z 
2025-08-26T20:53:34.7285577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7285938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7286267Z     return mod(**inputs)
2025-08-26T20:53:34.7286634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7287022Z     outputs = self.model(
2025-08-26T20:53:34.7287415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7287803Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7288188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7288580Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7288938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7289301Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7289695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:53:34.7290122Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7290265Z 
2025-08-26T20:53:34.7290382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7290753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7291079Z     return mod(**inputs)
2025-08-26T20:53:34.7291445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7291829Z     outputs = self.model(
2025-08-26T20:53:34.7292246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7292760Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7293195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7293613Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7294000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7294396Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7294785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7295244Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7295687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7296257Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7296487Z 
2025-08-26T20:53:34.7296611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7297002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7297364Z     return mod(**inputs)
2025-08-26T20:53:34.7297767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7298199Z     outputs = self.model(
2025-08-26T20:53:34.7298590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7299015Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7299433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7299866Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7300261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7300639Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7301034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7301445Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7301850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7302278Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7302422Z 
2025-08-26T20:53:34.7302538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7302935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7303309Z     return mod(**inputs)
2025-08-26T20:53:34.7303699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7304105Z     outputs = self.model(
2025-08-26T20:53:34.7304497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7304913Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7305345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7305759Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7306136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7306726Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7307145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7307560Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7307962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7308368Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7308522Z 
2025-08-26T20:53:34.7308608Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7308835Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7309062Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7309274Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7309521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7309890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7310221Z     return mod(**inputs)
2025-08-26T20:53:34.7310584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7310971Z     outputs = self.model(
2025-08-26T20:53:34.7311429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7311826Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7312211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7312592Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7312952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7313324Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7313718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7314113Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7314517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7314934Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7315394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7315890Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7316080Z 
2025-08-26T20:53:34.7316190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7316558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7316929Z     return mod(**inputs)
2025-08-26T20:53:34.7317296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7317680Z     outputs = self.model(
2025-08-26T20:53:34.7318050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7318425Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7318790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7319159Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7319491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7319884Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7320261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7320654Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7321038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7321424Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7321860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7322307Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7322465Z 
2025-08-26T20:53:34.7322577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7322932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7323244Z     return mod(**inputs)
2025-08-26T20:53:34.7323598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7323970Z     outputs = self.model(
2025-08-26T20:53:34.7324320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7324688Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7325093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7325461Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7325803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7326160Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7326527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7326920Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7327301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7327681Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7327814Z 
2025-08-26T20:53:34.7327923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7328263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7328579Z     return mod(**inputs)
2025-08-26T20:53:34.7328924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7329289Z     outputs = self.model(
2025-08-26T20:53:34.7329629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7330001Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7330367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7330763Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7331100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7331445Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7331821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7332235Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7332401Z 
2025-08-26T20:53:34.7332569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7332958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7333350Z     return mod(**inputs)
2025-08-26T20:53:34.7333745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7334174Z     outputs = self.model(
2025-08-26T20:53:34.7334547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7334934Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7335322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7335715Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7336078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7336454Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7336865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7337329Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7337744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7338113Z     return self.act(input)
2025-08-26T20:53:34.7338235Z 
2025-08-26T20:53:34.7338358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7338736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7339098Z     return mod(**inputs)
2025-08-26T20:53:34.7339533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7339948Z     outputs = self.model(
2025-08-26T20:53:34.7340333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7340769Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7341187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7341616Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7341998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7342397Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7342821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:53:34.7343259Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7343413Z 
2025-08-26T20:53:34.7343538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7343925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7344303Z     return mod(**inputs)
2025-08-26T20:53:34.7344693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7345098Z     outputs = self.model(
2025-08-26T20:53:34.7345467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7345907Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7346294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7346685Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7347035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7347388Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7347772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7348171Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7348589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7349047Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7349254Z 
2025-08-26T20:53:34.7349358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7349716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7350042Z     return mod(**inputs)
2025-08-26T20:53:34.7350405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7350784Z     outputs = self.model(
2025-08-26T20:53:34.7351137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7351522Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7351893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7352271Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7352612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7352976Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7353359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7353758Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7354223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7354605Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7354751Z 
2025-08-26T20:53:34.7354860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7355218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7355546Z     return mod(**inputs)
2025-08-26T20:53:34.7355908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7356279Z     outputs = self.model(
2025-08-26T20:53:34.7356642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7357027Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7357397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7357764Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7358108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7358461Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7358836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7359227Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7359604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7360005Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7360151Z 
2025-08-26T20:53:34.7360233Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7360449Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7360651Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7360860Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7361090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7361436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7361751Z     return mod(**inputs)
2025-08-26T20:53:34.7362094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7362479Z     outputs = self.model(
2025-08-26T20:53:34.7362830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7363201Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7363562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7363929Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7364273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7364628Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7364999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7365376Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7365763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7366161Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7366592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7367059Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7367235Z 
2025-08-26T20:53:34.7367382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7367734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7368051Z     return mod(**inputs)
2025-08-26T20:53:34.7368405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7368765Z     outputs = self.model(
2025-08-26T20:53:34.7369120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7369491Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7369861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7370230Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7370563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7370917Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7371292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7371683Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7372065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7372569Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7373080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7373632Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7373812Z 
2025-08-26T20:53:34.7373928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7374276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7374612Z     return mod(**inputs)
2025-08-26T20:53:34.7374976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7375356Z     outputs = self.model(
2025-08-26T20:53:34.7375718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7376113Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7376489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7376865Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7377210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7377571Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7377945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7378341Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7378731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7379114Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7379250Z 
2025-08-26T20:53:34.7379355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7379712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7380032Z     return mod(**inputs)
2025-08-26T20:53:34.7380387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7380762Z     outputs = self.model(
2025-08-26T20:53:34.7381110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7381528Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7381903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7382281Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7382623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7382983Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7383365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7383789Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7383961Z 
2025-08-26T20:53:34.7384072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7384422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7384749Z     return mod(**inputs)
2025-08-26T20:53:34.7385110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7385492Z     outputs = self.model(
2025-08-26T20:53:34.7385852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7386229Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7386604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7386985Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7387360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7387715Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7388099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7388526Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7388912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7389250Z     return self.act(input)
2025-08-26T20:53:34.7389363Z 
2025-08-26T20:53:34.7389468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7389827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7390180Z     return mod(**inputs)
2025-08-26T20:53:34.7390529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7390897Z     outputs = self.model(
2025-08-26T20:53:34.7391241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7391613Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7391987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7392359Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7392693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7393045Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7393423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:53:34.7393842Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7393979Z 
2025-08-26T20:53:34.7394089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7394430Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7394743Z     return mod(**inputs)
2025-08-26T20:53:34.7395146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7395515Z     outputs = self.model(
2025-08-26T20:53:34.7395858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7396230Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7396599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7396971Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7397309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7397653Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7398029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7398416Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7398804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7399248Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7399445Z 
2025-08-26T20:53:34.7399547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7399896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7400210Z     return mod(**inputs)
2025-08-26T20:53:34.7400561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7400943Z     outputs = self.model(
2025-08-26T20:53:34.7401297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7401671Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7402042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7402408Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7402740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7403096Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7403471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7403876Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7404260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7404631Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7404772Z 
2025-08-26T20:53:34.7404873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7405219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7405533Z     return mod(**inputs)
2025-08-26T20:53:34.7405884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7406250Z     outputs = self.model(
2025-08-26T20:53:34.7406737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7407137Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7407520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7407904Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7408267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7408643Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7409121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7409575Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7409985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7410393Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7410538Z 
2025-08-26T20:53:34.7410632Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7410857Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7411069Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7411286Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7411534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7411903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7412234Z     return mod(**inputs)
2025-08-26T20:53:34.7412703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7413128Z     outputs = self.model(
2025-08-26T20:53:34.7413516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7413981Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7414390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7414801Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7415162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7415589Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7416004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7416445Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7416915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7417333Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7417783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7418330Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7418526Z 
2025-08-26T20:53:34.7418634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7419006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7419342Z     return mod(**inputs)
2025-08-26T20:53:34.7419715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7420096Z     outputs = self.model(
2025-08-26T20:53:34.7420467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7420860Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7421244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7421628Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7421990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7422362Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7422757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7423168Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7423562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7424011Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7424462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7424929Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7425095Z 
2025-08-26T20:53:34.7425209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7425572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7425910Z     return mod(**inputs)
2025-08-26T20:53:34.7426278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7426668Z     outputs = self.model(
2025-08-26T20:53:34.7427030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7427422Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7427809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7428198Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7428557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7428921Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7429317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-26T20:53:34.7429724Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T20:53:34.7430155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7430532Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7430665Z 
2025-08-26T20:53:34.7430766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7431115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7431429Z     return mod(**inputs)
2025-08-26T20:53:34.7431776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7432137Z     outputs = self.model(
2025-08-26T20:53:34.7432487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7432885Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7433254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7433626Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7433961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7434312Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7434690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7435104Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7435270Z 
2025-08-26T20:53:34.7435381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7435720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7436036Z     return mod(**inputs)
2025-08-26T20:53:34.7436387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7436752Z     outputs = self.model(
2025-08-26T20:53:34.7437091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7437462Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7437860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7438230Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7438569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7438917Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7439292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-26T20:53:34.7439705Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7440080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7440413Z     return self.act(input)
2025-08-26T20:53:34.7440524Z 
2025-08-26T20:53:34.7440626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7440979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7441291Z     return mod(**inputs)
2025-08-26T20:53:34.7441637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7442000Z     outputs = self.model(
2025-08-26T20:53:34.7442350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-26T20:53:34.7442727Z     encoder_outputs = self.encoder(
2025-08-26T20:53:34.7443092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-26T20:53:34.7443479Z     layer_outputs = encoder_layer(
2025-08-26T20:53:34.7443812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7444167Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7444544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 325, in forward
2025-08-26T20:53:34.7444924Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7445059Z 
2025-08-26T20:53:34.7445162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7445506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7445846Z     return mod(**inputs)
2025-08-26T20:53:34.7446192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7446560Z     outputs = self.model(
2025-08-26T20:53:34.7446902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7447272Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7447640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7448013Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7448345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7448697Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7449071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7449467Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7449858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7450300Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7450504Z 
2025-08-26T20:53:34.7450608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7450954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7451303Z     return mod(**inputs)
2025-08-26T20:53:34.7451656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7452018Z     outputs = self.model(
2025-08-26T20:53:34.7452400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7452898Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7453315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7453747Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7454110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7454488Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7454891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7455312Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7455722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7456152Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7456302Z 
2025-08-26T20:53:34.7456414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7456786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7457115Z     return mod(**inputs)
2025-08-26T20:53:34.7457499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7457887Z     outputs = self.model(
2025-08-26T20:53:34.7458275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7458700Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7459097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7459495Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7459843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7460228Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7460609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7461021Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7461431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7461840Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7461984Z 
2025-08-26T20:53:34.7462081Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7462308Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7462519Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7462734Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7462976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7463348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7463675Z     return mod(**inputs)
2025-08-26T20:53:34.7464044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7464435Z     outputs = self.model(
2025-08-26T20:53:34.7464792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7465165Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7465579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7465963Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7466317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7466679Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7467056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7467464Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7467866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7468273Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7468716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7469198Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7469390Z 
2025-08-26T20:53:34.7469495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7469858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7470189Z     return mod(**inputs)
2025-08-26T20:53:34.7470540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7470919Z     outputs = self.model(
2025-08-26T20:53:34.7471281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7471688Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7472064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7472435Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7472786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7473151Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7473540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7473942Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7474352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7474754Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7475196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7475651Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7475811Z 
2025-08-26T20:53:34.7475925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7476277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7476604Z     return mod(**inputs)
2025-08-26T20:53:34.7476960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7477338Z     outputs = self.model(
2025-08-26T20:53:34.7477693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7478073Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7478450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7478838Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7479167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7479500Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7479893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7480280Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7480659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7481026Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7481167Z 
2025-08-26T20:53:34.7481267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7481605Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7481916Z     return mod(**inputs)
2025-08-26T20:53:34.7482258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7482610Z     outputs = self.model(
2025-08-26T20:53:34.7482954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7483318Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7483678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7484038Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7484367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7484713Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7485096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7485490Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7485872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7486305Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7486504Z 
2025-08-26T20:53:34.7486606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7486947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7487252Z     return mod(**inputs)
2025-08-26T20:53:34.7487606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7487964Z     outputs = self.model(
2025-08-26T20:53:34.7488303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7488666Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7489023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7489379Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7489711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7490056Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7490421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7490804Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7491194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7491565Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7491693Z 
2025-08-26T20:53:34.7491799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7492142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7492447Z     return mod(**inputs)
2025-08-26T20:53:34.7493021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7493450Z     outputs = self.model(
2025-08-26T20:53:34.7493843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7494305Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7494670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7495041Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7495378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7495745Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7496112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7496516Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7496914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7497300Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7497436Z 
2025-08-26T20:53:34.7497524Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7497730Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7497939Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7498141Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7498370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7498740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7499056Z     return mod(**inputs)
2025-08-26T20:53:34.7499406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7499775Z     outputs = self.model(
2025-08-26T20:53:34.7500121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7500494Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7500861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7501256Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7501605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7501957Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7502344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7502759Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7503173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7503580Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7504016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7504497Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7504688Z 
2025-08-26T20:53:34.7504794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7505154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7505483Z     return mod(**inputs)
2025-08-26T20:53:34.7505837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7506216Z     outputs = self.model(
2025-08-26T20:53:34.7506723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7507184Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7507552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7507927Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7508272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7508634Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7509012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7509407Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7509813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7510211Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7510646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7511096Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7511254Z 
2025-08-26T20:53:34.7511357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7511708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7512025Z     return mod(**inputs)
2025-08-26T20:53:34.7512376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7512489Z     outputs = self.model(
2025-08-26T20:53:34.7512722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7512804Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7513039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7513119Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7513329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7513415Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7513648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7513776Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7514018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7514099Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7514103Z 
2025-08-26T20:53:34.7514211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7514398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7514461Z     return mod(**inputs)
2025-08-26T20:53:34.7514702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7514767Z     outputs = self.model(
2025-08-26T20:53:34.7515009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7515083Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7515325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7515398Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7515605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7515688Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7515949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7516073Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7516077Z 
2025-08-26T20:53:34.7516176Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7516360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7516433Z     return mod(**inputs)
2025-08-26T20:53:34.7516663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7516738Z     outputs = self.model(
2025-08-26T20:53:34.7516969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7517041Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7517287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7517358Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7517577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7517655Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7517898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7518016Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7518219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7518312Z     return self.act(input)
2025-08-26T20:53:34.7518315Z 
2025-08-26T20:53:34.7518416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7518611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7518677Z     return mod(**inputs)
2025-08-26T20:53:34.7518918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7518991Z     outputs = self.model(
2025-08-26T20:53:34.7519229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7519323Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7519565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7519636Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7519862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7519941Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7520192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:53:34.7520276Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7520280Z 
2025-08-26T20:53:34.7520387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7520576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7520641Z     return mod(**inputs)
2025-08-26T20:53:34.7520890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7520958Z     outputs = self.model(
2025-08-26T20:53:34.7521214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7521287Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7521524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7521601Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7521843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7521928Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7522156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7522251Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7522487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7522632Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7522636Z 
2025-08-26T20:53:34.7522743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7522931Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7523006Z     return mod(**inputs)
2025-08-26T20:53:34.7523246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7523313Z     outputs = self.model(
2025-08-26T20:53:34.7523556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7523628Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7523872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7523942Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7524175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7524262Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7524496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7524603Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7524835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7524924Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7524927Z 
2025-08-26T20:53:34.7525028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7525235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7525309Z     return mod(**inputs)
2025-08-26T20:53:34.7525543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7525618Z     outputs = self.model(
2025-08-26T20:53:34.7525856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7525926Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7526169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7526239Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7526456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7526533Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7526769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7526873Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7527109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7527202Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7527205Z 
2025-08-26T20:53:34.7527286Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7527412Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7527491Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7527567Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7527673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7527858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7527929Z     return mod(**inputs)
2025-08-26T20:53:34.7528171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7528237Z     outputs = self.model(
2025-08-26T20:53:34.7528483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7528555Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7528801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7528875Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7529087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7529172Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7529407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7529511Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7529745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7529865Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7530144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7530275Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7530279Z 
2025-08-26T20:53:34.7530388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7530575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7530649Z     return mod(**inputs)
2025-08-26T20:53:34.7530886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7530970Z     outputs = self.model(
2025-08-26T20:53:34.7531217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7531291Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7531538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7531609Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7531822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7531909Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7532145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7532249Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7532542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7532660Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7532936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7533044Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7533048Z 
2025-08-26T20:53:34.7533155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7533380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7533458Z     return mod(**inputs)
2025-08-26T20:53:34.7533709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7533780Z     outputs = self.model(
2025-08-26T20:53:34.7534033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7534110Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7534366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7534440Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7534671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7534758Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7535032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7535148Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7535413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7535516Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7535521Z 
2025-08-26T20:53:34.7535632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7535845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7535943Z     return mod(**inputs)
2025-08-26T20:53:34.7536212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7536295Z     outputs = self.model(
2025-08-26T20:53:34.7536567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7536657Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7536913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7536989Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7537222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7537322Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7537578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7537692Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7537942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7538105Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7538112Z 
2025-08-26T20:53:34.7538217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7538422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7538490Z     return mod(**inputs)
2025-08-26T20:53:34.7538742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7538823Z     outputs = self.model(
2025-08-26T20:53:34.7539073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7539156Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7539408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7539488Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7539781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7539865Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7540126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7540238Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7540496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7540581Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7540586Z 
2025-08-26T20:53:34.7540691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7540899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7540969Z     return mod(**inputs)
2025-08-26T20:53:34.7541231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7541302Z     outputs = self.model(
2025-08-26T20:53:34.7541564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7541645Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7541889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7541969Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7542187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7542292Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7542531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7542640Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7542898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7542990Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7542994Z 
2025-08-26T20:53:34.7543085Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7543169Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7543248Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7543358Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7543463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7543670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7543741Z     return mod(**inputs)
2025-08-26T20:53:34.7543993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7544072Z     outputs = self.model(
2025-08-26T20:53:34.7544326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7544409Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7544660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7544736Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7544968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7545049Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7545311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7545418Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7545669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7545798Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7546086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7546229Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7546233Z 
2025-08-26T20:53:34.7546337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7546540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7546606Z     return mod(**inputs)
2025-08-26T20:53:34.7546863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7546938Z     outputs = self.model(
2025-08-26T20:53:34.7547175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7547255Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7547499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7547581Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7547797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7547876Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7548126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7548232Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7548496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7548600Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7548890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7549009Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7549013Z 
2025-08-26T20:53:34.7549118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7549320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7549405Z     return mod(**inputs)
2025-08-26T20:53:34.7549659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7549730Z     outputs = self.model(
2025-08-26T20:53:34.7549977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7550060Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7550306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7550387Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7550612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7550691Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7550941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7551050Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7551300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7551386Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7551389Z 
2025-08-26T20:53:34.7551499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7551695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7551800Z     return mod(**inputs)
2025-08-26T20:53:34.7552056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7552126Z     outputs = self.model(
2025-08-26T20:53:34.7552380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7552458Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7552704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7552786Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7553003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7553090Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7553335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7553457Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7553461Z 
2025-08-26T20:53:34.7553572Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7553766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7553840Z     return mod(**inputs)
2025-08-26T20:53:34.7554090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7554164Z     outputs = self.model(
2025-08-26T20:53:34.7554431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7554504Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7554755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7554829Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7555055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7555133Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7555380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7555523Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7555733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7555813Z     return self.act(input)
2025-08-26T20:53:34.7555816Z 
2025-08-26T20:53:34.7555917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7556111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7556188Z     return mod(**inputs)
2025-08-26T20:53:34.7556436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7556511Z     outputs = self.model(
2025-08-26T20:53:34.7556759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7556839Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7557085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7557157Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7557380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7557463Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7557708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:53:34.7557790Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7557825Z 
2025-08-26T20:53:34.7557930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7558144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7558210Z     return mod(**inputs)
2025-08-26T20:53:34.7558460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7558531Z     outputs = self.model(
2025-08-26T20:53:34.7558774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7558856Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7559099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7559178Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7559395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7559483Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7559726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7559826Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7560077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7560229Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7560250Z 
2025-08-26T20:53:34.7560359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7560586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7560651Z     return mod(**inputs)
2025-08-26T20:53:34.7560905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7560974Z     outputs = self.model(
2025-08-26T20:53:34.7561220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7561291Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7561541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7562413Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7562629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7562719Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7562956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7563060Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7563302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7563381Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7563385Z 
2025-08-26T20:53:34.7563493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7563681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7563757Z     return mod(**inputs)
2025-08-26T20:53:34.7563995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7564063Z     outputs = self.model(
2025-08-26T20:53:34.7564307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7564378Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7564651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7564724Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7564941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7565018Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7565255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7565361Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7565598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7565691Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7565694Z 
2025-08-26T20:53:34.7565774Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7565852Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7565940Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7566015Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7566123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7566313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7566377Z     return mod(**inputs)
2025-08-26T20:53:34.7566624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7566693Z     outputs = self.model(
2025-08-26T20:53:34.7566938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7567027Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7567266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7567343Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7567559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7567646Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7567883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7567989Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7568256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7568352Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7568643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7568774Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7568777Z 
2025-08-26T20:53:34.7568884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7569076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7569142Z     return mod(**inputs)
2025-08-26T20:53:34.7569391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7569458Z     outputs = self.model(
2025-08-26T20:53:34.7569706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7569779Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7570027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7570096Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7570310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7570427Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7570662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7570764Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7570997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7571095Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7571375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7571484Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7571488Z 
2025-08-26T20:53:34.7571593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7571781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7571854Z     return mod(**inputs)
2025-08-26T20:53:34.7572091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7572158Z     outputs = self.model(
2025-08-26T20:53:34.7572426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7572592Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7572879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7572983Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7573220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7573316Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7573584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7573693Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7573944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7574031Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7574042Z 
2025-08-26T20:53:34.7574149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7574377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7574453Z     return mod(**inputs)
2025-08-26T20:53:34.7574716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7574793Z     outputs = self.model(
2025-08-26T20:53:34.7575039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7575116Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7575374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7575449Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7575682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7575764Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7576012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7576137Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7576385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7576547Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7576550Z 
2025-08-26T20:53:34.7576686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7576900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7576969Z     return mod(**inputs)
2025-08-26T20:53:34.7577222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7577303Z     outputs = self.model(
2025-08-26T20:53:34.7577554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7577637Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7577889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7577963Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7578193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7578277Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7578532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7578643Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7578891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7578984Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7578987Z 
2025-08-26T20:53:34.7579091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7579313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7579381Z     return mod(**inputs)
2025-08-26T20:53:34.7579640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7579714Z     outputs = self.model(
2025-08-26T20:53:34.7579962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7580045Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7580295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7580390Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7580613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7580696Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7580953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7581064Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7581325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7581416Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7581420Z 
2025-08-26T20:53:34.7581512Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7581595Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7581675Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7581762Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7581871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7582072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7582150Z     return mod(**inputs)
2025-08-26T20:53:34.7582406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7582484Z     outputs = self.model(
2025-08-26T20:53:34.7582767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7582852Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7583106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7583180Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7583413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7583497Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7583755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7583868Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7584117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7584227Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7584526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7584668Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7584672Z 
2025-08-26T20:53:34.7584776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7584983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7585054Z     return mod(**inputs)
2025-08-26T20:53:34.7585311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7585407Z     outputs = self.model(
2025-08-26T20:53:34.7585658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7585741Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7585994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7586068Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7586297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7586377Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7586658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7586768Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7587018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7587125Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7587421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7587541Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7587545Z 
2025-08-26T20:53:34.7587649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7587854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7587923Z     return mod(**inputs)
2025-08-26T20:53:34.7588186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7588261Z     outputs = self.model(
2025-08-26T20:53:34.7588507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7588591Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7588838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7588910Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7589163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7589246Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7589495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7589600Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7589852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7589939Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7589942Z 
2025-08-26T20:53:34.7590048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7590254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7590325Z     return mod(**inputs)
2025-08-26T20:53:34.7590581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7590652Z     outputs = self.model(
2025-08-26T20:53:34.7590898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7590982Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7591228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7591313Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7591537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7591636Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7591885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7592010Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7592013Z 
2025-08-26T20:53:34.7592124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7592318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7592394Z     return mod(**inputs)
2025-08-26T20:53:34.7592647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7592740Z     outputs = self.model(
2025-08-26T20:53:34.7593011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7593093Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7593362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7593440Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7593678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7593781Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7594032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7594167Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7594383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7594456Z     return self.act(input)
2025-08-26T20:53:34.7594468Z 
2025-08-26T20:53:34.7594573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7594770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7594846Z     return mod(**inputs)
2025-08-26T20:53:34.7595130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7595209Z     outputs = self.model(
2025-08-26T20:53:34.7595459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7595534Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7595798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7595872Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7596093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7596175Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7596416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:53:34.7596507Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7596511Z 
2025-08-26T20:53:34.7596615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7596813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7596879Z     return mod(**inputs)
2025-08-26T20:53:34.7597138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7597209Z     outputs = self.model(
2025-08-26T20:53:34.7597459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7597543Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7597826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7597907Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7598129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7598213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7598468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7598571Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7598833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7599003Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7599006Z 
2025-08-26T20:53:34.7599119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7599312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7599378Z     return mod(**inputs)
2025-08-26T20:53:34.7599631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7599701Z     outputs = self.model(
2025-08-26T20:53:34.7599951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7600022Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7600265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7600346Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7600563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7600653Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7600895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7600994Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7601282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7601367Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7601370Z 
2025-08-26T20:53:34.7619070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7619429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7619529Z     return mod(**inputs)
2025-08-26T20:53:34.7619835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7619916Z     outputs = self.model(
2025-08-26T20:53:34.7620192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7620280Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7620538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7620637Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7620884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7620991Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7621262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7621390Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7621659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7621930Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7621939Z 
2025-08-26T20:53:34.7622039Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7622124Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7622212Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7622294Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7622412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7622637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7622710Z     return mod(**inputs)
2025-08-26T20:53:34.7622982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7623097Z     outputs = self.model(
2025-08-26T20:53:34.7623356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7623446Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7623703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7623788Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7624022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7624110Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7624370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7624477Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7624734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7624842Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7625149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7625295Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7625301Z 
2025-08-26T20:53:34.7625414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7625709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7625783Z     return mod(**inputs)
2025-08-26T20:53:34.7626049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7626121Z     outputs = self.model(
2025-08-26T20:53:34.7626374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7626464Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7626714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7626798Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7627025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7627116Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7627368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7627472Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7627730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7627830Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7628155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7628301Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7628305Z 
2025-08-26T20:53:34.7628420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7628646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7628721Z     return mod(**inputs)
2025-08-26T20:53:34.7628999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7629074Z     outputs = self.model(
2025-08-26T20:53:34.7629348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7629431Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7629715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7629804Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7630043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7630140Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7630411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7630517Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7630775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7630860Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7630864Z 
2025-08-26T20:53:34.7630983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7631197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7631272Z     return mod(**inputs)
2025-08-26T20:53:34.7631545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7631622Z     outputs = self.model(
2025-08-26T20:53:34.7631893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7631975Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7632319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7632401Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7632640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7632737Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7633004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7633135Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7633401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7633571Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7633583Z 
2025-08-26T20:53:34.7633696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7633912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7633994Z     return mod(**inputs)
2025-08-26T20:53:34.7634258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7634340Z     outputs = self.model(
2025-08-26T20:53:34.7634606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7634686Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7634959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7635056Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7635298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7635386Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7635653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7635782Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7636051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7636162Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7636175Z 
2025-08-26T20:53:34.7636288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7636503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7636584Z     return mod(**inputs)
2025-08-26T20:53:34.7636853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7636936Z     outputs = self.model(
2025-08-26T20:53:34.7637205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7637287Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7637563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7637641Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7637891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7637988Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7638236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7638353Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7638598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7638733Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7638737Z 
2025-08-26T20:53:34.7638821Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7638903Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7638988Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7639065Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7639174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7639381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7639454Z     return mod(**inputs)
2025-08-26T20:53:34.7639731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7639805Z     outputs = self.model(
2025-08-26T20:53:34.7640078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7640161Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7640436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7640514Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7640755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7640854Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7641116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7641262Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7641512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7641616Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7641931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7642068Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7642072Z 
2025-08-26T20:53:34.7642182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7642382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7642475Z     return mod(**inputs)
2025-08-26T20:53:34.7642720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7642793Z     outputs = self.model(
2025-08-26T20:53:34.7643046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7643120Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7643372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7643444Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7643664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7643753Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7643997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7644113Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7644361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7644456Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7644748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7644859Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7644892Z 
2025-08-26T20:53:34.7645004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7645199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7645274Z     return mod(**inputs)
2025-08-26T20:53:34.7645524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7645598Z     outputs = self.model(
2025-08-26T20:53:34.7645854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7645933Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7646200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7646278Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7646515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7646610Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7646872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7646996Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7647259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7647358Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7647378Z 
2025-08-26T20:53:34.7647491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7647702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7647783Z     return mod(**inputs)
2025-08-26T20:53:34.7648063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7648181Z     outputs = self.model(
2025-08-26T20:53:34.7648573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7648675Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7649087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7649210Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7649549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7649652Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7650044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7650257Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7650266Z 
2025-08-26T20:53:34.7650389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7650619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7650692Z     return mod(**inputs)
2025-08-26T20:53:34.7650975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7651055Z     outputs = self.model(
2025-08-26T20:53:34.7651326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7651421Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7651691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7651778Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7652066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7652157Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7652436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7652686Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7652939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7653023Z     return self.act(input)
2025-08-26T20:53:34.7653027Z 
2025-08-26T20:53:34.7653149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7653371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7653445Z     return mod(**inputs)
2025-08-26T20:53:34.7653719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7653789Z     outputs = self.model(
2025-08-26T20:53:34.7654042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7654117Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7654361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7654444Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7654665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7654754Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7655022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:53:34.7655108Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7655112Z 
2025-08-26T20:53:34.7655223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7655422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7655495Z     return mod(**inputs)
2025-08-26T20:53:34.7655758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7655840Z     outputs = self.model(
2025-08-26T20:53:34.7656155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7656232Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7656506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7656585Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7656829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7656914Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7657189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7657307Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7657586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7657755Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7657759Z 
2025-08-26T20:53:34.7657864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7658067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7658143Z     return mod(**inputs)
2025-08-26T20:53:34.7658395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7658472Z     outputs = self.model(
2025-08-26T20:53:34.7658754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7658836Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7659095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7659167Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7659397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7659477Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7659741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7659878Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7660257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7660358Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7660362Z 
2025-08-26T20:53:34.7660465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7660671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7660738Z     return mod(**inputs)
2025-08-26T20:53:34.7661051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7661124Z     outputs = self.model(
2025-08-26T20:53:34.7661397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7661510Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7661793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7661879Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7662132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7662222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7662518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7662628Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7662933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7663031Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7663037Z 
2025-08-26T20:53:34.7663130Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7663228Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7663317Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7663409Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7663527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7663748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7663829Z     return mod(**inputs)
2025-08-26T20:53:34.7664111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7664196Z     outputs = self.model(
2025-08-26T20:53:34.7664487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7664575Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7664869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7664948Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7665202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7665332Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7665620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7665729Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7666001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7666110Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7666404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7666547Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7666550Z 
2025-08-26T20:53:34.7666652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7666854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7666922Z     return mod(**inputs)
2025-08-26T20:53:34.7667170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7667253Z     outputs = self.model(
2025-08-26T20:53:34.7667528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7667616Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7667891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7667987Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7668226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7668312Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7668589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7668696Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7668966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7669080Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7669387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7669533Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7669539Z 
2025-08-26T20:53:34.7669651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7669869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7669936Z     return mod(**inputs)
2025-08-26T20:53:34.7670180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7670257Z     outputs = self.model(
2025-08-26T20:53:34.7670500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7670581Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7670825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7670900Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7671123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7671205Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7671452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7671550Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7671816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7671908Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7671912Z 
2025-08-26T20:53:34.7672014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7672216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7672284Z     return mod(**inputs)
2025-08-26T20:53:34.7672541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7672608Z     outputs = self.model(
2025-08-26T20:53:34.7672841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7672920Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7673156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7673234Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7673444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7673520Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7673759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7673867Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7674105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7674270Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7674274Z 
2025-08-26T20:53:34.7674381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7674572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7674635Z     return mod(**inputs)
2025-08-26T20:53:34.7674882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7674949Z     outputs = self.model(
2025-08-26T20:53:34.7675192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7675280Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7675516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7675596Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7675809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7675894Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7676133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7676238Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7676483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7676563Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7676568Z 
2025-08-26T20:53:34.7676673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7676863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7676936Z     return mod(**inputs)
2025-08-26T20:53:34.7677176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7677244Z     outputs = self.model(
2025-08-26T20:53:34.7677518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7677593Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7677841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7677913Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7678127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7678217Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7678456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7678572Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7678817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7678914Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7678918Z 
2025-08-26T20:53:34.7679004Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7679087Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7679177Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7679257Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7679369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7679575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7679642Z     return mod(**inputs)
2025-08-26T20:53:34.7679892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7679978Z     outputs = self.model(
2025-08-26T20:53:34.7680232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7680305Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7680553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7680634Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7680858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7680941Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7681194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7681301Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7681555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7681652Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7681950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7682088Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7682092Z 
2025-08-26T20:53:34.7682202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7682403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7682468Z     return mod(**inputs)
2025-08-26T20:53:34.7682727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7682795Z     outputs = self.model(
2025-08-26T20:53:34.7683059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7683133Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7683373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7683483Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7683694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7683780Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7684015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7684122Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7684361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7684457Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7684739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7684842Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7684846Z 
2025-08-26T20:53:34.7684954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7685143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7685206Z     return mod(**inputs)
2025-08-26T20:53:34.7685448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7685515Z     outputs = self.model(
2025-08-26T20:53:34.7685757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7685846Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7686083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7686161Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7686372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7686459Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7686694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7686804Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7687044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7687162Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7687166Z 
2025-08-26T20:53:34.7687276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7687475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7687548Z     return mod(**inputs)
2025-08-26T20:53:34.7687802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7687874Z     outputs = self.model(
2025-08-26T20:53:34.7688134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7688208Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7688466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7688543Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7688768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7688857Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7689106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7689236Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7689240Z 
2025-08-26T20:53:34.7689344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7689580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7689651Z     return mod(**inputs)
2025-08-26T20:53:34.7689899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7689976Z     outputs = self.model(
2025-08-26T20:53:34.7690227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7690309Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7690561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7690635Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7690869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7690953Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7691214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7691338Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7691564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7691638Z     return self.act(input)
2025-08-26T20:53:34.7691642Z 
2025-08-26T20:53:34.7691747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7691957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7692043Z     return mod(**inputs)
2025-08-26T20:53:34.7692302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7692372Z     outputs = self.model(
2025-08-26T20:53:34.7692745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7692839Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7693090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7693174Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7693437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7693529Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7693811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:53:34.7693906Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7693910Z 
2025-08-26T20:53:34.7694036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7694257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7694342Z     return mod(**inputs)
2025-08-26T20:53:34.7694616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7694694Z     outputs = self.model(
2025-08-26T20:53:34.7694978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7695063Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7695343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7695425Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7695667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7695763Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7696065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7696185Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7696454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7696636Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7696642Z 
2025-08-26T20:53:34.7696757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7696972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7697056Z     return mod(**inputs)
2025-08-26T20:53:34.7697328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7697411Z     outputs = self.model(
2025-08-26T20:53:34.7697684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7697766Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7698044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7698124Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7698371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7698462Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7698738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7698870Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7699142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7699243Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7699250Z 
2025-08-26T20:53:34.7699365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7699592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7699667Z     return mod(**inputs)
2025-08-26T20:53:34.7699943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7700046Z     outputs = self.model(
2025-08-26T20:53:34.7700321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7700414Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7700688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7700769Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7701023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7701112Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7701396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7701507Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7701789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7701887Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7701893Z 
2025-08-26T20:53:34.7701983Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7702081Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7702170Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7702264Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7702379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7702628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7702712Z     return mod(**inputs)
2025-08-26T20:53:34.7702987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7703074Z     outputs = self.model(
2025-08-26T20:53:34.7703348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7703433Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7703718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7703801Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7704051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7704139Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7704411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7704529Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7704809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7704924Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7705235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7705410Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7705413Z 
2025-08-26T20:53:34.7705525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7705740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7705819Z     return mod(**inputs)
2025-08-26T20:53:34.7706093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7706178Z     outputs = self.model(
2025-08-26T20:53:34.7706450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7706770Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7707195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7707283Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7707533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7707620Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7707891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7708001Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7708265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7708380Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7708693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7708822Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7708826Z 
2025-08-26T20:53:34.7708936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7709150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7709231Z     return mod(**inputs)
2025-08-26T20:53:34.7709500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7709641Z     outputs = self.model(
2025-08-26T20:53:34.7709911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7709998Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7710261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7710340Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7710585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7710673Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7710939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-26T20:53:34.7711047Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-26T20:53:34.7711309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7711406Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7711410Z 
2025-08-26T20:53:34.7711523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7711744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7711816Z     return mod(**inputs)
2025-08-26T20:53:34.7712082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7712165Z     outputs = self.model(
2025-08-26T20:53:34.7712466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7712552Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7712819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7712908Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7713144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7713230Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7713498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7713634Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7713901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 216, in forward
2025-08-26T20:53:34.7714067Z     query_states = self.q_proj(hidden_states).view(*q_input_shape).transpose(1, 2)
2025-08-26T20:53:34.7714071Z 
2025-08-26T20:53:34.7714183Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7714403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7714478Z     return mod(**inputs)
2025-08-26T20:53:34.7714749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7714823Z     outputs = self.model(
2025-08-26T20:53:34.7715102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7715181Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7715432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7715517Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7715741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7715832Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7716112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7716226Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7716482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 235, in forward
2025-08-26T20:53:34.7716564Z     key_states = self.k_proj(current_states)
2025-08-26T20:53:34.7716568Z 
2025-08-26T20:53:34.7716681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7716885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7716953Z     return mod(**inputs)
2025-08-26T20:53:34.7717218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7717288Z     outputs = self.model(
2025-08-26T20:53:34.7717549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7717627Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7717885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7717959Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7718183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7718274Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7718522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7718659Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7718909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 236, in forward
2025-08-26T20:53:34.7718999Z     value_states = self.v_proj(current_states)
2025-08-26T20:53:34.7719002Z 
2025-08-26T20:53:34.7719091Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7719176Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7719264Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7719344Z cudagraph partition due to non gpu ops
2025-08-26T20:53:34.7719448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7719655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7719739Z     return mod(**inputs)
2025-08-26T20:53:34.7719997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7720069Z     outputs = self.model(
2025-08-26T20:53:34.7720319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7720404Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7720659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7720740Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7720964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7721053Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7721303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7721414Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7721673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7721776Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7722077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:53:34.7722245Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:53:34.7722249Z 
2025-08-26T20:53:34.7722362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7722563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7722631Z     return mod(**inputs)
2025-08-26T20:53:34.7722893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7722966Z     outputs = self.model(
2025-08-26T20:53:34.7723226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7723303Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7723556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7723639Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7723866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7723954Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7724205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7724314Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7724572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-26T20:53:34.7724674Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:53:34.7724994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:53:34.7725106Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:53:34.7725110Z 
2025-08-26T20:53:34.7725224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7725428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7725496Z     return mod(**inputs)
2025-08-26T20:53:34.7725761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7725831Z     outputs = self.model(
2025-08-26T20:53:34.7726108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7726183Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7726430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7726515Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7726768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7726855Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7727104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-26T20:53:34.7727215Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-26T20:53:34.7727468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 268, in forward
2025-08-26T20:53:34.7727554Z     attn_output = self.out_proj(attn_output)
2025-08-26T20:53:34.7727557Z 
2025-08-26T20:53:34.7727670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7727868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7727944Z     return mod(**inputs)
2025-08-26T20:53:34.7728195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7728264Z     outputs = self.model(
2025-08-26T20:53:34.7728550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7728628Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7728889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7728962Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7729188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7729276Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7729526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7729655Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7729659Z 
2025-08-26T20:53:34.7729763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7729972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7730040Z     return mod(**inputs)
2025-08-26T20:53:34.7730293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7730370Z     outputs = self.model(
2025-08-26T20:53:34.7730620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7730704Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7730955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7731047Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7731282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7731363Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7731628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-26T20:53:34.7731751Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T20:53:34.7731971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:53:34.7732053Z     return self.act(input)
2025-08-26T20:53:34.7732074Z 
2025-08-26T20:53:34.7732181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7732399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7732558Z     return mod(**inputs)
2025-08-26T20:53:34.7732853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-26T20:53:34.7732930Z     outputs = self.model(
2025-08-26T20:53:34.7733198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-26T20:53:34.7733288Z     decoder_outputs = self.decoder(
2025-08-26T20:53:34.7733553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-26T20:53:34.7733640Z     layer_outputs = decoder_layer(
2025-08-26T20:53:34.7733880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:53:34.7733969Z     return super().__call__(*args, **kwargs)
2025-08-26T20:53:34.7734246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 447, in forward
2025-08-26T20:53:34.7734334Z     hidden_states = self.fc2(hidden_states)
2025-08-26T20:53:34.7734338Z 
2025-08-26T20:53:34.7734454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7734651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7734769Z     return mod(**inputs)
2025-08-26T20:53:34.7735031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1490, in forward
2025-08-26T20:53:34.7735116Z     lm_logits = self.lm_head(outputs[0])
2025-08-26T20:53:34.7735120Z 
2025-08-26T20:53:34.7735231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:53:34.7735429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:53:34.7735505Z     return mod(**inputs)
2025-08-26T20:53:34.7735755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1491, in forward
2025-08-26T20:53:34.7735893Z     lm_logits = lm_logits + self.final_logits_bias.to(lm_logits.device)
2025-08-26T20:53:34.7735897Z 
2025-08-26T20:53:44.7583119Z Compilation time (from dynamo_timed): 16.35762736
2025-08-26T20:53:44.8032009Z pass
2025-08-26T20:53:44.8035764Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:44.8036662Z TIMING: _recursive_pre_grad_passes:0.00931 _recursive_joint_graph_passes:0.44029 _recursive_post_grad_passes:0.08072 async_compile.wait:0.61465 code_gen:8.59394 inductor_compile:9.97104 backend_compile:13.55392 gc:0.00198 entire_frame_compile:16.35763 total_wall_time:16.35763
2025-08-26T20:53:44.8041746Z STATS: call_* op count: 501 | FakeTensorMode.__torch_dispatch__:17102 | FakeTensor.__torch_dispatch__:5648 | ProxyTorchDispatchMode.__torch_dispatch__:6265
2025-08-26T20:53:44.8042481Z Dynamo produced 1 graphs covering 501 ops with 0 graph breaks (0 unique)
2025-08-26T20:53:48.9930081Z 
2025-08-26T20:53:51.9064026Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:53:51.9068220Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:53:51.9081693Z cpu  eval  hf_Bert                            
2025-08-26T20:53:53.2580192Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:53.8088473Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:53:54.4414636Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:01.3842928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3843585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3844384Z     return mod(**inputs)
2025-08-26T20:54:01.3844779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3845181Z     outputs = self.bert(
2025-08-26T20:54:01.3845544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward
2025-08-26T20:54:01.3845931Z     embedding_output = self.embeddings(
2025-08-26T20:54:01.3846377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 187, in forward
2025-08-26T20:54:01.3846756Z     embeddings += position_embeddings
2025-08-26T20:54:01.3846893Z 
2025-08-26T20:54:01.3846983Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3847186Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3847389Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3847598Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3847808Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3848008Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3848214Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3848422Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3848625Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3848823Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3849028Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3849233Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3850546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3850947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3851273Z     return mod(**inputs)
2025-08-26T20:54:01.3851653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3852027Z     outputs = self.bert(
2025-08-26T20:54:01.3852414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3852918Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3853321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3853715Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3854087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3854471Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3854865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3855269Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3855673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3856062Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3856461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3856958Z     self_outputs = self.self(
2025-08-26T20:54:01.3857344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3857737Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3858128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.3858642Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.3858912Z 
2025-08-26T20:54:01.3859025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3859394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3859754Z     return mod(**inputs)
2025-08-26T20:54:01.3860123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3860519Z     outputs = self.bert(
2025-08-26T20:54:01.3860875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3861260Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3861649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3862013Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3862358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3862714Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3863086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3863463Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3863830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3864196Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3864557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3864923Z     self_outputs = self.self(
2025-08-26T20:54:01.3865319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3865677Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3866039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.3866438Z     self.key(current_states)
2025-08-26T20:54:01.3866554Z 
2025-08-26T20:54:01.3866668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3867014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3867329Z     return mod(**inputs)
2025-08-26T20:54:01.3867681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3868045Z     outputs = self.bert(
2025-08-26T20:54:01.3868381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3868760Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3869130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3869510Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3869842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3870179Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3870552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3870954Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3871322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3871677Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3872019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3872376Z     self_outputs = self.self(
2025-08-26T20:54:01.3872717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3873066Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3873404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.3873781Z     self.value(current_states)
2025-08-26T20:54:01.3873907Z 
2025-08-26T20:54:01.3873987Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3874223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3874563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3874863Z     return mod(**inputs)
2025-08-26T20:54:01.3875206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3875558Z     outputs = self.bert(
2025-08-26T20:54:01.3875895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3876250Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3876610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3876970Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3877297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3877637Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3877991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3878357Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3878775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3879146Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3879495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3879859Z     self_outputs = self.self(
2025-08-26T20:54:01.3880211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3880571Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3880929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.3881350Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.3881538Z 
2025-08-26T20:54:01.3881645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3881999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3882319Z     return mod(**inputs)
2025-08-26T20:54:01.3882676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3883045Z     outputs = self.bert(
2025-08-26T20:54:01.3883596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3884019Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3884393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3884784Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3885125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3885475Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3885864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3886235Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3886611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3886968Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3887331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.3887778Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.3888217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.3888639Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.3888780Z 
2025-08-26T20:54:01.3888887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3889258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3889578Z     return mod(**inputs)
2025-08-26T20:54:01.3889929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3890295Z     outputs = self.bert(
2025-08-26T20:54:01.3890632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3891024Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3891389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3891758Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3892088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3892440Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3892942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.3893346Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.3893792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.3894203Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.3894621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.3895090Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.3895522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.3895918Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.3896060Z 
2025-08-26T20:54:01.3896166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3896532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3896858Z     return mod(**inputs)
2025-08-26T20:54:01.3897217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3897586Z     outputs = self.bert(
2025-08-26T20:54:01.3897947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3898319Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3898685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3899077Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3899412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3899777Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3900178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.3900572Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.3900980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.3901376Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.3901790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.3902234Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.3902646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.3903045Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.3903419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.3903755Z     return self.act(input)
2025-08-26T20:54:01.3903867Z 
2025-08-26T20:54:01.3903980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3904332Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3904641Z     return mod(**inputs)
2025-08-26T20:54:01.3904995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3905358Z     outputs = self.bert(
2025-08-26T20:54:01.3905714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3906095Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3906466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3907152Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3907602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3907976Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3908352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.3908764Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.3909168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.3909572Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.3909981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.3910453Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.3910899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.3911292Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.3911433Z 
2025-08-26T20:54:01.3911548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3911906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3912222Z     return mod(**inputs)
2025-08-26T20:54:01.3912582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3912959Z     outputs = self.bert(
2025-08-26T20:54:01.3913346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3913726Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3914103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3914487Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3914836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3915200Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3915582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3916007Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3916392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3916765Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3917126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3917506Z     self_outputs = self.self(
2025-08-26T20:54:01.3917869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3918311Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3918679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.3919189Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.3919480Z 
2025-08-26T20:54:01.3919603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3919963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3920288Z     return mod(**inputs)
2025-08-26T20:54:01.3920642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3921013Z     outputs = self.bert(
2025-08-26T20:54:01.3921399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3921773Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3922134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3922496Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3922833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3923186Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3923560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3923940Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3924306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3924670Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3925034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3925399Z     self_outputs = self.self(
2025-08-26T20:54:01.3925750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3926101Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3926462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.3926825Z     self.key(current_states)
2025-08-26T20:54:01.3926938Z 
2025-08-26T20:54:01.3927071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3927413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3927729Z     return mod(**inputs)
2025-08-26T20:54:01.3928073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3928442Z     outputs = self.bert(
2025-08-26T20:54:01.3928788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3929155Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3929523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3929923Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3930262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3930609Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3930984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3931363Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3931737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3932098Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3932541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3932978Z     self_outputs = self.self(
2025-08-26T20:54:01.3933370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3933759Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3934119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.3934485Z     self.value(current_states)
2025-08-26T20:54:01.3934611Z 
2025-08-26T20:54:01.3934694Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3934937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3935326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3935636Z     return mod(**inputs)
2025-08-26T20:54:01.3935982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3936343Z     outputs = self.bert(
2025-08-26T20:54:01.3936685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3937053Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3937409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3937774Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3938113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3938464Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3938830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3939208Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3939584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3939940Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3940289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3940636Z     self_outputs = self.self(
2025-08-26T20:54:01.3940978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3941345Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3941691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.3942099Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.3942279Z 
2025-08-26T20:54:01.3942380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3942718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3943024Z     return mod(**inputs)
2025-08-26T20:54:01.3943363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3943729Z     outputs = self.bert(
2025-08-26T20:54:01.3944063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3944426Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3944785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3945144Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3945470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3945814Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3946177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3946548Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3946902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3947254Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3947603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.3948020Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.3948427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.3948821Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.3948965Z 
2025-08-26T20:54:01.3949066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3949404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3949710Z     return mod(**inputs)
2025-08-26T20:54:01.3950050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3950400Z     outputs = self.bert(
2025-08-26T20:54:01.3950734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3951096Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3951447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3951796Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3952127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3952484Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3952846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.3953215Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.3953596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.3953968Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.3954373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.3954808Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.3955211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.3955579Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.3955718Z 
2025-08-26T20:54:01.3955820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3956160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3956465Z     return mod(**inputs)
2025-08-26T20:54:01.3956853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3957211Z     outputs = self.bert(
2025-08-26T20:54:01.3957547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3957910Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3958266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3958615Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3958948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3959295Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3959660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.3960029Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.3960401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.3960776Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.3961161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.3961594Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.3962018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.3962423Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.3962785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.3963113Z     return self.act(input)
2025-08-26T20:54:01.3963220Z 
2025-08-26T20:54:01.3963333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3963668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3963976Z     return mod(**inputs)
2025-08-26T20:54:01.3964320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3964683Z     outputs = self.bert(
2025-08-26T20:54:01.3965015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3965383Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3965745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3966106Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3966437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3966777Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3967146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.3967539Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.3967922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.3968297Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.3968680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.3969124Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.3969539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.3969913Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.3970064Z 
2025-08-26T20:54:01.3970171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3970503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3970815Z     return mod(**inputs)
2025-08-26T20:54:01.3971157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3971515Z     outputs = self.bert(
2025-08-26T20:54:01.3971850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3972216Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3972644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3973052Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3973416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3973790Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3974189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3974576Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3974964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3975319Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3975714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3976100Z     self_outputs = self.self(
2025-08-26T20:54:01.3976472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3976853Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3977220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.3977752Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.3978027Z 
2025-08-26T20:54:01.3978134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3978505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3978838Z     return mod(**inputs)
2025-08-26T20:54:01.3979203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3979593Z     outputs = self.bert(
2025-08-26T20:54:01.3979958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3980351Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3980729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3981119Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3981476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3981878Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3982274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3982667Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3983066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3983459Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3983812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3984170Z     self_outputs = self.self(
2025-08-26T20:54:01.3984523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3984876Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3985227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.3985588Z     self.key(current_states)
2025-08-26T20:54:01.3985698Z 
2025-08-26T20:54:01.3985800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3986148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3986454Z     return mod(**inputs)
2025-08-26T20:54:01.3986796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3987149Z     outputs = self.bert(
2025-08-26T20:54:01.3987478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3987838Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3988196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3988558Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3988881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3989222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3989618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3989994Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3990359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3990708Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3991062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3991421Z     self_outputs = self.self(
2025-08-26T20:54:01.3991764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3992114Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3992465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.3992827Z     self.value(current_states)
2025-08-26T20:54:01.3992942Z 
2025-08-26T20:54:01.3993031Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.3993263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.3993598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.3993906Z     return mod(**inputs)
2025-08-26T20:54:01.3994248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.3994606Z     outputs = self.bert(
2025-08-26T20:54:01.3994938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.3995317Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.3995675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.3996036Z     layer_outputs = layer_module(
2025-08-26T20:54:01.3996368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.3996703Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.3997069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.3997441Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.3997824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3998181Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3998525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.3998887Z     self_outputs = self.self(
2025-08-26T20:54:01.3999233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.3999592Z     return func(*args, **kwargs)
2025-08-26T20:54:01.3999935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4000356Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4000538Z 
2025-08-26T20:54:01.4000637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4000986Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4001292Z     return mod(**inputs)
2025-08-26T20:54:01.4001628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4001987Z     outputs = self.bert(
2025-08-26T20:54:01.4002326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4002690Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4003081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4003440Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4003769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4004112Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4004480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4004850Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4005220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4005577Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4005928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4006345Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4006888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4007265Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4007408Z 
2025-08-26T20:54:01.4007509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4007854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4008163Z     return mod(**inputs)
2025-08-26T20:54:01.4008496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4008903Z     outputs = self.bert(
2025-08-26T20:54:01.4009241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4009604Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4009953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4010315Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4010643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4010985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4011374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4011738Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4012120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4012542Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4012952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4013409Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4013846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4014250Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4014403Z 
2025-08-26T20:54:01.4014514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4014867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4015178Z     return mod(**inputs)
2025-08-26T20:54:01.4015534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4015903Z     outputs = self.bert(
2025-08-26T20:54:01.4016248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4016673Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4017037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4017405Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4017743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4018102Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4018480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4018867Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4019262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4019646Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4020041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4020481Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4020896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4021303Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4021678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4022013Z     return self.act(input)
2025-08-26T20:54:01.4022123Z 
2025-08-26T20:54:01.4022244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4022594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4022909Z     return mod(**inputs)
2025-08-26T20:54:01.4023255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4023615Z     outputs = self.bert(
2025-08-26T20:54:01.4023961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4024336Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4024703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4025093Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4025420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4025777Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4026150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4026526Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4026925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4027293Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4027678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4028118Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4028529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4028890Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4029028Z 
2025-08-26T20:54:01.4029128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4029467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4029774Z     return mod(**inputs)
2025-08-26T20:54:01.4030156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4030507Z     outputs = self.bert(
2025-08-26T20:54:01.4030848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4031211Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4031570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4031933Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4032256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4032603Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4032970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4033344Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4033706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4034064Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4034414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4034772Z     self_outputs = self.self(
2025-08-26T20:54:01.4035114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4035460Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4035806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4036311Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4036558Z 
2025-08-26T20:54:01.4036664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4037010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4037308Z     return mod(**inputs)
2025-08-26T20:54:01.4037649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4038006Z     outputs = self.bert(
2025-08-26T20:54:01.4038344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4038714Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4039070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4039433Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4039763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4040106Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4040463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4040833Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4041190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4041542Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4041882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4042239Z     self_outputs = self.self(
2025-08-26T20:54:01.4042579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4042931Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4043274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4043656Z     self.key(current_states)
2025-08-26T20:54:01.4043775Z 
2025-08-26T20:54:01.4043875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4044213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4044517Z     return mod(**inputs)
2025-08-26T20:54:01.4044853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4045201Z     outputs = self.bert(
2025-08-26T20:54:01.4045541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4045905Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4046259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4046611Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4046944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4047287Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4047651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4048017Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4048373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4048728Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4049095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4049456Z     self_outputs = self.self(
2025-08-26T20:54:01.4049789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4050142Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4050492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4050853Z     self.value(current_states)
2025-08-26T20:54:01.4050967Z 
2025-08-26T20:54:01.4051055Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4051277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4051639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4051953Z     return mod(**inputs)
2025-08-26T20:54:01.4052300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4052749Z     outputs = self.bert(
2025-08-26T20:54:01.4053107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4053500Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4053876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4054251Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4054585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4054941Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4055330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4055721Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4056104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4056472Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4056840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4057262Z     self_outputs = self.self(
2025-08-26T20:54:01.4057623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4057985Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4058345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4058779Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4058960Z 
2025-08-26T20:54:01.4059074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4059431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4059744Z     return mod(**inputs)
2025-08-26T20:54:01.4060102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4060478Z     outputs = self.bert(
2025-08-26T20:54:01.4060831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4061205Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4061579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4061959Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4062307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4062667Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4063057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4063438Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4063799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4064154Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4064498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4064903Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4065311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4065707Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4065840Z 
2025-08-26T20:54:01.4065948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4066280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4066586Z     return mod(**inputs)
2025-08-26T20:54:01.4066924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4067282Z     outputs = self.bert(
2025-08-26T20:54:01.4067620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4067974Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4068328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4068692Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4069018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4069358Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4069714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4070085Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4070528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4070910Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4071288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4071721Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4072123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4072498Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4072629Z 
2025-08-26T20:54:01.4072737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4073072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4073378Z     return mod(**inputs)
2025-08-26T20:54:01.4073715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4074074Z     outputs = self.bert(
2025-08-26T20:54:01.4074415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4074768Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4075121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4075477Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4075807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4076160Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4076521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4076892Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4077273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4077649Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4078028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4078458Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4078938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4079343Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4079710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4080033Z     return self.act(input)
2025-08-26T20:54:01.4080149Z 
2025-08-26T20:54:01.4080252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4080593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4080904Z     return mod(**inputs)
2025-08-26T20:54:01.4081241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4081606Z     outputs = self.bert(
2025-08-26T20:54:01.4081948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4082318Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4082678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4083032Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4083363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4083719Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4084128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4084497Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4084882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4085256Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4085648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4086089Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4086502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4086878Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4087018Z 
2025-08-26T20:54:01.4087118Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4087465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4087772Z     return mod(**inputs)
2025-08-26T20:54:01.4088109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4088472Z     outputs = self.bert(
2025-08-26T20:54:01.4088816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4089186Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4089537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4089917Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4090247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4090597Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4090967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4091332Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4091695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4092053Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4092422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4092863Z     self_outputs = self.self(
2025-08-26T20:54:01.4093222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4093597Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4093969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4094475Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4094728Z 
2025-08-26T20:54:01.4094842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4095196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4095519Z     return mod(**inputs)
2025-08-26T20:54:01.4095881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4096258Z     outputs = self.bert(
2025-08-26T20:54:01.4096609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4096994Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4097374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4097755Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4098137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4098496Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4098877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4099269Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4099651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4100018Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4100382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4100756Z     self_outputs = self.self(
2025-08-26T20:54:01.4101115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4101485Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4101844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4102219Z     self.key(current_states)
2025-08-26T20:54:01.4102341Z 
2025-08-26T20:54:01.4102447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4102807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4103123Z     return mod(**inputs)
2025-08-26T20:54:01.4103474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4103909Z     outputs = self.bert(
2025-08-26T20:54:01.4104268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4104654Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4105027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4105410Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4105758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4106105Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4106592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4106978Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4107350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4107707Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4108063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4108420Z     self_outputs = self.self(
2025-08-26T20:54:01.4108768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4109122Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4109473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4109838Z     self.value(current_states)
2025-08-26T20:54:01.4109956Z 
2025-08-26T20:54:01.4110038Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4110274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4110618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4110927Z     return mod(**inputs)
2025-08-26T20:54:01.4111258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4111613Z     outputs = self.bert(
2025-08-26T20:54:01.4112026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4112400Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4112759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4113115Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4113450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4113797Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4114168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4114533Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4114896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4115257Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4115612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4115974Z     self_outputs = self.self(
2025-08-26T20:54:01.4116309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4116665Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4117016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4117460Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4117634Z 
2025-08-26T20:54:01.4117741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4118073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4118380Z     return mod(**inputs)
2025-08-26T20:54:01.4118721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4119077Z     outputs = self.bert(
2025-08-26T20:54:01.4119405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4119795Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4120148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4120505Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4120837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4121170Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4121532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4121902Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4122262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4122607Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4122957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4123370Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4123775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4124147Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4124278Z 
2025-08-26T20:54:01.4124380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4124717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4125066Z     return mod(**inputs)
2025-08-26T20:54:01.4125408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4125764Z     outputs = self.bert(
2025-08-26T20:54:01.4126099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4126471Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4126833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4127200Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4127525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4127874Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4128246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4128625Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4129014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4129389Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4129785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4130225Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4130636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4131030Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4131160Z 
2025-08-26T20:54:01.4131261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4131611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4131916Z     return mod(**inputs)
2025-08-26T20:54:01.4132258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4132675Z     outputs = self.bert(
2025-08-26T20:54:01.4133028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4133440Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4133821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4134205Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4134543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4134904Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4135276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4135669Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4136069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4136456Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4136862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4137313Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4137737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4138149Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4138528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4138905Z     return self.act(input)
2025-08-26T20:54:01.4139023Z 
2025-08-26T20:54:01.4139138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4139500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4139818Z     return mod(**inputs)
2025-08-26T20:54:01.4140173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4140547Z     outputs = self.bert(
2025-08-26T20:54:01.4140898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4141284Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4141651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4142029Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4142377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4142737Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4143115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4143505Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4143887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4144273Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4144690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4145150Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4145638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4146076Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4146229Z 
2025-08-26T20:54:01.4146357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4146798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4147172Z     return mod(**inputs)
2025-08-26T20:54:01.4147597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4148066Z     outputs = self.bert(
2025-08-26T20:54:01.4148451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4148869Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4149278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4149691Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4150071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4150476Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4150907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4151303Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4151668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4152020Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4152361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4152715Z     self_outputs = self.self(
2025-08-26T20:54:01.4153067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4153468Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4153839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4154344Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4154612Z 
2025-08-26T20:54:01.4154731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4155075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4155384Z     return mod(**inputs)
2025-08-26T20:54:01.4155724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4156069Z     outputs = self.bert(
2025-08-26T20:54:01.4156407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4156787Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4157166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4157586Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4157952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4158345Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4158759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4159206Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4159626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4160038Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4160457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4160864Z     self_outputs = self.self(
2025-08-26T20:54:01.4161247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4161634Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4162044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4162482Z     self.key(current_states)
2025-08-26T20:54:01.4162609Z 
2025-08-26T20:54:01.4162735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4163130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4163513Z     return mod(**inputs)
2025-08-26T20:54:01.4163915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4164330Z     outputs = self.bert(
2025-08-26T20:54:01.4164731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4165153Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4165575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4166063Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4166455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4166852Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4167283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4167721Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4168146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4168608Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4169004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4169412Z     self_outputs = self.self(
2025-08-26T20:54:01.4169801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4170209Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4170605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4171011Z     self.value(current_states)
2025-08-26T20:54:01.4171147Z 
2025-08-26T20:54:01.4171238Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4171505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4171895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4172243Z     return mod(**inputs)
2025-08-26T20:54:01.4172723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4173149Z     outputs = self.bert(
2025-08-26T20:54:01.4173556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4173954Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4174333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4174750Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4175109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4175481Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4175870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4176275Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4176670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4177049Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4177423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4177848Z     self_outputs = self.self(
2025-08-26T20:54:01.4178220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4178606Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4178985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4179434Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4179630Z 
2025-08-26T20:54:01.4179743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4180129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4180449Z     return mod(**inputs)
2025-08-26T20:54:01.4180803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4181168Z     outputs = self.bert(
2025-08-26T20:54:01.4181520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4181897Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4182268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4182647Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4182993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4183395Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4183782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4184173Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4184551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4184920Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4185279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4185703Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4186118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4186494Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4186637Z 
2025-08-26T20:54:01.4186743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4187090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4187406Z     return mod(**inputs)
2025-08-26T20:54:01.4187755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4188115Z     outputs = self.bert(
2025-08-26T20:54:01.4188461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4188866Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4189242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4189618Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4189971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4190336Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4190721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4191157Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4191540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4191950Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4192353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4192807Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4193228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4193611Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4193758Z 
2025-08-26T20:54:01.4193863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4194222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4194543Z     return mod(**inputs)
2025-08-26T20:54:01.4194893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4195327Z     outputs = self.bert(
2025-08-26T20:54:01.4195693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4196089Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4196471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4196851Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4197245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4197611Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4198003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4198408Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4198815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4199221Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4199642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4200110Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4200537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4200973Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4201365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4201717Z     return self.act(input)
2025-08-26T20:54:01.4201835Z 
2025-08-26T20:54:01.4201951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4202321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4202654Z     return mod(**inputs)
2025-08-26T20:54:01.4203022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4203435Z     outputs = self.bert(
2025-08-26T20:54:01.4203796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4204194Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4204583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4204978Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4205337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4205700Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4206110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4206673Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4207130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4207558Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4207995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4208514Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4208961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4209369Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4209513Z 
2025-08-26T20:54:01.4209630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4210004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4210355Z     return mod(**inputs)
2025-08-26T20:54:01.4210745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4211150Z     outputs = self.bert(
2025-08-26T20:54:01.4211525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4211936Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4212392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4212846Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4213212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4213583Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4213980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4214389Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4214789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4215167Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4215547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4215948Z     self_outputs = self.self(
2025-08-26T20:54:01.4216314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4216691Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4217064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4217599Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4217874Z 
2025-08-26T20:54:01.4218012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4218386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4218716Z     return mod(**inputs)
2025-08-26T20:54:01.4219074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4219457Z     outputs = self.bert(
2025-08-26T20:54:01.4219713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4219793Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4220039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4220146Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4220376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4220464Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4220714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4220798Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4221052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4221124Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4221379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4221458Z     self_outputs = self.self(
2025-08-26T20:54:01.4221702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4221782Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4222032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4222113Z     self.key(current_states)
2025-08-26T20:54:01.4222117Z 
2025-08-26T20:54:01.4222225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4222432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4222533Z     return mod(**inputs)
2025-08-26T20:54:01.4222784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4222859Z     outputs = self.bert(
2025-08-26T20:54:01.4223104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4223189Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4223435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4223512Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4223739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4223822Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4224072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4224159Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4224400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4224478Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4224721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4224801Z     self_outputs = self.self(
2025-08-26T20:54:01.4225040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4225138Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4225383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4225460Z     self.value(current_states)
2025-08-26T20:54:01.4225463Z 
2025-08-26T20:54:01.4225556Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4225663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4225866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4225934Z     return mod(**inputs)
2025-08-26T20:54:01.4226179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4226272Z     outputs = self.bert(
2025-08-26T20:54:01.4226516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4226599Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4226843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4226915Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4227146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4227226Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4227476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4227558Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4227802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4227872Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4228114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4228194Z     self_outputs = self.self(
2025-08-26T20:54:01.4228433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4228509Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4228792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4228928Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4228932Z 
2025-08-26T20:54:01.4229044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4229240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4229316Z     return mod(**inputs)
2025-08-26T20:54:01.4229559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4229628Z     outputs = self.bert(
2025-08-26T20:54:01.4229879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4229952Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4230200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4230272Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4230498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4230578Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4230817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4230908Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4231145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4231239Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4231493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4231623Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4231871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4231956Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4231959Z 
2025-08-26T20:54:01.4232068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4232262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4232347Z     return mod(**inputs)
2025-08-26T20:54:01.4232602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4232670Z     outputs = self.bert(
2025-08-26T20:54:01.4232917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4232990Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4233237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4233308Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4233520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4233610Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4233847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4233939Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4234190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4234267Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4234541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4234691Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4234938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4235022Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4235026Z 
2025-08-26T20:54:01.4235135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4235327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4235392Z     return mod(**inputs)
2025-08-26T20:54:01.4235638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4235705Z     outputs = self.bert(
2025-08-26T20:54:01.4235951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4236023Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4236264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4236343Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4236555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4236640Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4236877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4236961Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4237240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4237317Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4237592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4237712Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4237956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4238066Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4238271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4238366Z     return self.act(input)
2025-08-26T20:54:01.4238369Z 
2025-08-26T20:54:01.4238472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4238670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4238739Z     return mod(**inputs)
2025-08-26T20:54:01.4238982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4239056Z     outputs = self.bert(
2025-08-26T20:54:01.4239299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4239379Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4239616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4239695Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4239908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4239985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4240229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4240313Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4240568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4240676Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4240946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4241084Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4241323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4241412Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4241415Z 
2025-08-26T20:54:01.4241516Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4241714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4241779Z     return mod(**inputs)
2025-08-26T20:54:01.4242019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4242095Z     outputs = self.bert(
2025-08-26T20:54:01.4242334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4242414Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4242651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4242724Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4242945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4243042Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4243280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4243360Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4243592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4243667Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4243901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4243977Z     self_outputs = self.self(
2025-08-26T20:54:01.4244374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4244467Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4244703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4244908Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4244912Z 
2025-08-26T20:54:01.4245021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4245214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4245287Z     return mod(**inputs)
2025-08-26T20:54:01.4245526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4245592Z     outputs = self.bert(
2025-08-26T20:54:01.4245849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4245925Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4246160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4246232Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4246448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4246525Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4246782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4246872Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4247096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4247170Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4247400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4247470Z     self_outputs = self.self(
2025-08-26T20:54:01.4247704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4247771Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4248006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4248074Z     self.key(current_states)
2025-08-26T20:54:01.4248078Z 
2025-08-26T20:54:01.4248181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4248374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4248437Z     return mod(**inputs)
2025-08-26T20:54:01.4248675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4248740Z     outputs = self.bert(
2025-08-26T20:54:01.4248978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4249070Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4249300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4249377Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4249586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4249672Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4249898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4249977Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4250209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4250292Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4250532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4250600Z     self_outputs = self.self(
2025-08-26T20:54:01.4250830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4250903Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4251138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4251215Z     self.value(current_states)
2025-08-26T20:54:01.4251218Z 
2025-08-26T20:54:01.4251298Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4251403Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4251593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4251658Z     return mod(**inputs)
2025-08-26T20:54:01.4251901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4251965Z     outputs = self.bert(
2025-08-26T20:54:01.4252209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4252279Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4252701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4252799Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4253040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4253134Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4253405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4253492Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4253747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4253820Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4254076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4254160Z     self_outputs = self.self(
2025-08-26T20:54:01.4254394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4254472Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4254709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4254848Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4254853Z 
2025-08-26T20:54:01.4254956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4255151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4255241Z     return mod(**inputs)
2025-08-26T20:54:01.4255479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4255551Z     outputs = self.bert(
2025-08-26T20:54:01.4255794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4255872Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4256111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4256181Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4256402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4256497Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4256737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4256818Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4257052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4257127Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4257365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4257501Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4257736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4257828Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4257831Z 
2025-08-26T20:54:01.4257931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4258119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4258192Z     return mod(**inputs)
2025-08-26T20:54:01.4258431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4258502Z     outputs = self.bert(
2025-08-26T20:54:01.4258776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4258850Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4259099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4259168Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4259395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4259473Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4259719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4259804Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4260061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4260148Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4260418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4260544Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4260783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4260867Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4260870Z 
2025-08-26T20:54:01.4260980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4261189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4261264Z     return mod(**inputs)
2025-08-26T20:54:01.4261510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4261587Z     outputs = self.bert(
2025-08-26T20:54:01.4261829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4261904Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4262150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4262226Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4262464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4262541Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4262778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4262869Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4263118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4263206Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4263473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4263590Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4263837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4263952Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4264163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4264235Z     return self.act(input)
2025-08-26T20:54:01.4264238Z 
2025-08-26T20:54:01.4264344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4264534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4264632Z     return mod(**inputs)
2025-08-26T20:54:01.4264880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4264946Z     outputs = self.bert(
2025-08-26T20:54:01.4265191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4265265Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4265502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4265588Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4265800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4265885Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4266124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4266210Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4266467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4266543Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4266819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4266952Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4267197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4267296Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4267300Z 
2025-08-26T20:54:01.4267400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4267596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4267664Z     return mod(**inputs)
2025-08-26T20:54:01.4267909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4267976Z     outputs = self.bert(
2025-08-26T20:54:01.4268212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4268309Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4268543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4268625Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4268839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4268922Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4269159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4269241Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4269482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4269551Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4269794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4269864Z     self_outputs = self.self(
2025-08-26T20:54:01.4270098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4270177Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4270411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4270655Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4270659Z 
2025-08-26T20:54:01.4270759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4270959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4271024Z     return mod(**inputs)
2025-08-26T20:54:01.4271260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4271334Z     outputs = self.bert(
2025-08-26T20:54:01.4271573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4271652Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4271887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4271956Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4272178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4272255Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4272496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4272577Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4272810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4272886Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4273139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4273217Z     self_outputs = self.self(
2025-08-26T20:54:01.4273450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4273519Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4273770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4273841Z     self.key(current_states)
2025-08-26T20:54:01.4273844Z 
2025-08-26T20:54:01.4273956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4274149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4274251Z     return mod(**inputs)
2025-08-26T20:54:01.4274488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4274555Z     outputs = self.bert(
2025-08-26T20:54:01.4274799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4274871Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4275115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4275186Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4275398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4275496Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4275726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4275818Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4276046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4276116Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4276352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4276419Z     self_outputs = self.self(
2025-08-26T20:54:01.4276685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4276753Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4276990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4277064Z     self.value(current_states)
2025-08-26T20:54:01.4277069Z 
2025-08-26T20:54:01.4277149Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4277255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4277441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4277512Z     return mod(**inputs)
2025-08-26T20:54:01.4277743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4277807Z     outputs = self.bert(
2025-08-26T20:54:01.4278051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4278121Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4278364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4278432Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4278641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4278725Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4278956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4279062Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4279285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4279356Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4279589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4279657Z     self_outputs = self.self(
2025-08-26T20:54:01.4279889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4279956Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4280210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4280340Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4280345Z 
2025-08-26T20:54:01.4280444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4280638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4280701Z     return mod(**inputs)
2025-08-26T20:54:01.4280946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4281009Z     outputs = self.bert(
2025-08-26T20:54:01.4281244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4281321Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4281552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4281628Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4281834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4281919Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4282149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4282227Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4282494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4282561Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4282801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4282930Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4283160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4283251Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4283255Z 
2025-08-26T20:54:01.4283352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4283545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4283609Z     return mod(**inputs)
2025-08-26T20:54:01.4283859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4283924Z     outputs = self.bert(
2025-08-26T20:54:01.4284156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4284235Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4284464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4284537Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4284766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4284841Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4285076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4285160Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4285411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4285486Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4285742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4285882Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4286108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4286197Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4286200Z 
2025-08-26T20:54:01.4286298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4286491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4286555Z     return mod(**inputs)
2025-08-26T20:54:01.4286789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4286860Z     outputs = self.bert(
2025-08-26T20:54:01.4287090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4287168Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4287395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4287463Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4287682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4287759Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4287992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4288105Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4288361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4288434Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4288695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4288819Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4289051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4289166Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4289368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4289435Z     return self.act(input)
2025-08-26T20:54:01.4289439Z 
2025-08-26T20:54:01.4289548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4289736Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4289834Z     return mod(**inputs)
2025-08-26T20:54:01.4290134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4290206Z     outputs = self.bert(
2025-08-26T20:54:01.4290447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4290543Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4290780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4290851Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4291070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4291149Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4291377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4291469Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4291711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4291816Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4292074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4292201Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4292439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4292578Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4292588Z 
2025-08-26T20:54:01.4292711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4292924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4293006Z     return mod(**inputs)
2025-08-26T20:54:01.4293277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4293354Z     outputs = self.bert(
2025-08-26T20:54:01.4293633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4293716Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4293996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4294074Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4295303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4295416Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4295678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4295776Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4296034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4296114Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4296382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4296461Z     self_outputs = self.self(
2025-08-26T20:54:01.4296727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4296805Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4297079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4297304Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4297308Z 
2025-08-26T20:54:01.4297421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4297643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4297714Z     return mod(**inputs)
2025-08-26T20:54:01.4297988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4298096Z     outputs = self.bert(
2025-08-26T20:54:01.4298362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4298451Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4298715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4298800Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4299037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4299123Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4299416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4299506Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4299775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4299851Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4300122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4300202Z     self_outputs = self.self(
2025-08-26T20:54:01.4300465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4300547Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4300813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4300898Z     self.key(current_states)
2025-08-26T20:54:01.4300902Z 
2025-08-26T20:54:01.4301015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4301227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4301310Z     return mod(**inputs)
2025-08-26T20:54:01.4301582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4301661Z     outputs = self.bert(
2025-08-26T20:54:01.4301962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4302044Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4302317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4302395Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4302643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4302730Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4303001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4303092Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4303352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4303438Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4303702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4303786Z     self_outputs = self.self(
2025-08-26T20:54:01.4304045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4304120Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4304392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4304470Z     self.value(current_states)
2025-08-26T20:54:01.4304491Z 
2025-08-26T20:54:01.4304592Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4304709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4304923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4305004Z     return mod(**inputs)
2025-08-26T20:54:01.4305275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4305352Z     outputs = self.bert(
2025-08-26T20:54:01.4305601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4305683Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4305950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4306026Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4306261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4306343Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4306751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4306855Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4307117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4307202Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4307465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4307554Z     self_outputs = self.self(
2025-08-26T20:54:01.4307812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4307891Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4308170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4308316Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4308320Z 
2025-08-26T20:54:01.4308449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4308718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4308798Z     return mod(**inputs)
2025-08-26T20:54:01.4309054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4309123Z     outputs = self.bert(
2025-08-26T20:54:01.4309384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4309460Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4309716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4309791Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4310014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4310107Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4310354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4310448Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4310693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4310768Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4311029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4311193Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4311451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4311537Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4311541Z 
2025-08-26T20:54:01.4311660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4311861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4311930Z     return mod(**inputs)
2025-08-26T20:54:01.4312192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4312262Z     outputs = self.bert(
2025-08-26T20:54:01.4312546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4312624Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4312876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4312959Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4313183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4313276Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4313523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4313620Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4313883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4313965Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4314251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4314376Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4314633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4314718Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4314722Z 
2025-08-26T20:54:01.4314863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4315074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4315141Z     return mod(**inputs)
2025-08-26T20:54:01.4315401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4315467Z     outputs = self.bert(
2025-08-26T20:54:01.4315698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4315778Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4316006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4316082Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4316290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4316375Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4316602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4316680Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4316930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4317004Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4317269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4317401Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4317626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4317741Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4317940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4318015Z     return self.act(input)
2025-08-26T20:54:01.4318018Z 
2025-08-26T20:54:01.4318117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4318307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4318387Z     return mod(**inputs)
2025-08-26T20:54:01.4318620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4318693Z     outputs = self.bert(
2025-08-26T20:54:01.4318925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4319002Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4319234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4319303Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4319517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4319595Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4319831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4319914Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4320157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4320239Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4320495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4320672Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4320905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4320991Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4320994Z 
2025-08-26T20:54:01.4321094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4321276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4321352Z     return mod(**inputs)
2025-08-26T20:54:01.4321583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4321656Z     outputs = self.bert(
2025-08-26T20:54:01.4321889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4321958Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4322195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4322264Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4322476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4322554Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4322791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4322870Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4323123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4323200Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4323435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4323512Z     self_outputs = self.self(
2025-08-26T20:54:01.4323742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4323809Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4324051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4324267Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4324271Z 
2025-08-26T20:54:01.4324381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4324566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4324630Z     return mod(**inputs)
2025-08-26T20:54:01.4324869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4324933Z     outputs = self.bert(
2025-08-26T20:54:01.4325173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4325244Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4325481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4325550Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4325757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4325842Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4326071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4326159Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4326382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4326486Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4326731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4326801Z     self_outputs = self.self(
2025-08-26T20:54:01.4327037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4327108Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4327343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4327425Z     self.key(current_states)
2025-08-26T20:54:01.4327428Z 
2025-08-26T20:54:01.4327530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4327726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4327792Z     return mod(**inputs)
2025-08-26T20:54:01.4328044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4328121Z     outputs = self.bert(
2025-08-26T20:54:01.4328354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4328433Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4328665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4328737Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4328963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4329039Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4329276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4329357Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4329591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4329656Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4329884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4329977Z     self_outputs = self.self(
2025-08-26T20:54:01.4330203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4330275Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4330507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4330584Z     self.value(current_states)
2025-08-26T20:54:01.4330587Z 
2025-08-26T20:54:01.4330667Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4330768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4330961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4331024Z     return mod(**inputs)
2025-08-26T20:54:01.4331266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4331331Z     outputs = self.bert(
2025-08-26T20:54:01.4331570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4331648Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4331893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4331968Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4332173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4332279Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4332588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4332677Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4332920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4333000Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4333273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4333352Z     self_outputs = self.self(
2025-08-26T20:54:01.4333622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4333702Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4333955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4334102Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4334106Z 
2025-08-26T20:54:01.4334213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4334421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4334498Z     return mod(**inputs)
2025-08-26T20:54:01.4334737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4334810Z     outputs = self.bert(
2025-08-26T20:54:01.4335076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4335150Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4335389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4335463Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4335685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4335763Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4336006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4336104Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4336337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4336415Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4336652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4336788Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4337027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4337108Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4337112Z 
2025-08-26T20:54:01.4337220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4337409Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4337499Z     return mod(**inputs)
2025-08-26T20:54:01.4337736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4337803Z     outputs = self.bert(
2025-08-26T20:54:01.4338054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4338127Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4338370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4338478Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4338705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4338784Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4339022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4339117Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4339371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4339458Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4339729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4339851Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4340098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4340183Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4340186Z 
2025-08-26T20:54:01.4340296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4340489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4340563Z     return mod(**inputs)
2025-08-26T20:54:01.4340806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4340893Z     outputs = self.bert(
2025-08-26T20:54:01.4341146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4341219Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4341472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4341544Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4341762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4341849Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4342092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4342201Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4342456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4342536Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4342813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4342934Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4343181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4343295Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4343508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4343581Z     return self.act(input)
2025-08-26T20:54:01.4343584Z 
2025-08-26T20:54:01.4343687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4343887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4343956Z     return mod(**inputs)
2025-08-26T20:54:01.4344206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4344272Z     outputs = self.bert(
2025-08-26T20:54:01.4344577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4344661Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4344896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4344973Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4345186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4345272Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4345510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4345593Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4345850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4345925Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4346201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4346330Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4346566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4346655Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4346658Z 
2025-08-26T20:54:01.4346759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4346981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4347048Z     return mod(**inputs)
2025-08-26T20:54:01.4347291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4347356Z     outputs = self.bert(
2025-08-26T20:54:01.4347594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4347676Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4347910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4347987Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4348243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4348321Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4348564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4348646Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4348885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4348957Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4349192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4349270Z     self_outputs = self.self(
2025-08-26T20:54:01.4349505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4349582Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4349819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:01.4350031Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:01.4350036Z 
2025-08-26T20:54:01.4350138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4350326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4350432Z     return mod(**inputs)
2025-08-26T20:54:01.4350683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4350754Z     outputs = self.bert(
2025-08-26T20:54:01.4350987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4351059Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4351297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4351367Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4351580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4351656Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4351883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4351974Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4352200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4352274Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4352502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4352579Z     self_outputs = self.self(
2025-08-26T20:54:01.4352802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4352887Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4353128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:01.4353197Z     self.key(current_states)
2025-08-26T20:54:01.4353200Z 
2025-08-26T20:54:01.4353308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4353495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4353558Z     return mod(**inputs)
2025-08-26T20:54:01.4353798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4353862Z     outputs = self.bert(
2025-08-26T20:54:01.4354115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4354184Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4354414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4354489Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4354694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4354779Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4355008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4355094Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4355317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4355384Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4355619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4355687Z     self_outputs = self.self(
2025-08-26T20:54:01.4355919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4355984Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4356250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:01.4356332Z     self.value(current_states)
2025-08-26T20:54:01.4356335Z 
2025-08-26T20:54:01.4356417Z cudagraph partition due to non gpu ops
2025-08-26T20:54:01.4356523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4356707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4356771Z     return mod(**inputs)
2025-08-26T20:54:01.4357013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4357076Z     outputs = self.bert(
2025-08-26T20:54:01.4357316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4357386Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4357620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4357690Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4357896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4357978Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4358207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4358293Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4358520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4358602Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4358841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:01.4358907Z     self_outputs = self.self(
2025-08-26T20:54:01.4359147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4359214Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4359449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:01.4359582Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:01.4359601Z 
2025-08-26T20:54:01.4359702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4359895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4359962Z     return mod(**inputs)
2025-08-26T20:54:01.4360205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4360270Z     outputs = self.bert(
2025-08-26T20:54:01.4360504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4360584Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4360818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4360895Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4361103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4361180Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4361420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:01.4361499Z     self_attention_outputs = self.attention(
2025-08-26T20:54:01.4361734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:01.4361802Z     return func(*args, **kwargs)
2025-08-26T20:54:01.4362063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:01.4362198Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:01.4362431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:01.4362520Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4362525Z 
2025-08-26T20:54:01.4362624Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4362819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4362884Z     return mod(**inputs)
2025-08-26T20:54:01.4363118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4363191Z     outputs = self.bert(
2025-08-26T20:54:01.4363427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4363506Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4363739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4363809Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4364027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4364104Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4364346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4364445Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4364689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4364770Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4365030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4365153Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4365382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:01.4365467Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4365496Z 
2025-08-26T20:54:01.4365595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4365778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4365853Z     return mod(**inputs)
2025-08-26T20:54:01.4366082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4366152Z     outputs = self.bert(
2025-08-26T20:54:01.4366386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4366458Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4366694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4366763Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4366980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4367060Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4367299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4367381Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4367630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4367714Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4368008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:01.4368134Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:01.4368369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:01.4368480Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:01.4368692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:01.4368763Z     return self.act(input)
2025-08-26T20:54:01.4368766Z 
2025-08-26T20:54:01.4368876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4369064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4369138Z     return mod(**inputs)
2025-08-26T20:54:01.4369378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:01.4369445Z     outputs = self.bert(
2025-08-26T20:54:01.4369690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:01.4369762Z     encoder_outputs = self.encoder(
2025-08-26T20:54:01.4370004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:01.4370076Z     layer_outputs = layer_module(
2025-08-26T20:54:01.4370288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:01.4370391Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:01.4370623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:01.4370712Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:01.4370962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:01.4371038Z     return forward_fn(*input_tensors)
2025-08-26T20:54:01.4371307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:01.4371453Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:01.4371692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:01.4371776Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4371779Z 
2025-08-26T20:54:01.4371888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4372079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4372143Z     return mod(**inputs)
2025-08-26T20:54:01.4372390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:54:01.4372550Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:54:01.4372812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:54:01.4372940Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:54:01.4373203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 769, in forward
2025-08-26T20:54:01.4373315Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:54:01.4373575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 745, in forward
2025-08-26T20:54:01.4373674Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:01.4373678Z 
2025-08-26T20:54:01.4373831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:01.4374068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:01.4374137Z     return mod(**inputs)
2025-08-26T20:54:01.4374388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:54:01.4374493Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:54:01.4374750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:54:01.4374869Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:54:01.4375108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-26T20:54:01.4375196Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:54:01.4375199Z 
2025-08-26T20:54:10.3406442Z Compilation time (from dynamo_timed): 14.122357816
2025-08-26T20:54:10.3586417Z pass
2025-08-26T20:54:10.3591103Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:10.3596863Z TIMING: _recursive_pre_grad_passes:0.00636 _recursive_joint_graph_passes:0.35154 _recursive_post_grad_passes:0.06527 async_compile.wait:0.7731 code_gen:7.25815 inductor_compile:8.26165 backend_compile:11.11596 gc:0.0003 entire_frame_compile:14.12236 total_wall_time:14.12236
2025-08-26T20:54:10.3597974Z STATS: call_* op count: 286 | FakeTensorMode.__torch_dispatch__:12150 | FakeTensor.__torch_dispatch__:4233 | ProxyTorchDispatchMode.__torch_dispatch__:4429
2025-08-26T20:54:10.3598757Z Dynamo produced 1 graphs covering 286 ops with 0 graph breaks (0 unique)
2025-08-26T20:54:14.4820149Z 
2025-08-26T20:54:19.2729122Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:54:19.2729412Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:54:19.2758415Z cpu  eval  hf_Bert_large                      
2025-08-26T20:54:22.8275272Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:24.4125424Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:25.9706252Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:38.0736860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0737912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0738313Z     return mod(**inputs)
2025-08-26T20:54:38.0738812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0739289Z     outputs = self.bert(
2025-08-26T20:54:38.0739731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 964, in forward
2025-08-26T20:54:38.0740173Z     embedding_output = self.embeddings(
2025-08-26T20:54:38.0740644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 187, in forward
2025-08-26T20:54:38.0741082Z     embeddings += position_embeddings
2025-08-26T20:54:38.0741240Z 
2025-08-26T20:54:38.0741342Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0741610Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0741841Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0742079Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0742290Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0742496Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0742711Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0742925Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0743140Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0743345Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0743556Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0743880Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0744096Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0744301Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0744509Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0744720Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0744935Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0745148Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0745366Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0745584Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0745804Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0746034Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0746249Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0746462Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0746710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0747079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0747413Z     return mod(**inputs)
2025-08-26T20:54:38.0747783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0748166Z     outputs = self.bert(
2025-08-26T20:54:38.0748533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0748979Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0749364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0749805Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0750164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0750531Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0750930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0751327Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0751722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0752109Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0752513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0752903Z     self_outputs = self.self(
2025-08-26T20:54:38.0753271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0753651Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0754018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.0754542Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.0754812Z 
2025-08-26T20:54:38.0754921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0755285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0755612Z     return mod(**inputs)
2025-08-26T20:54:38.0755968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0756346Z     outputs = self.bert(
2025-08-26T20:54:38.0756704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0757090Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0757472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0757853Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0758236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0758598Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0758972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0759354Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0759726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0760091Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0760458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0760839Z     self_outputs = self.self(
2025-08-26T20:54:38.0761195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0761573Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0761936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.0762303Z     self.key(current_states)
2025-08-26T20:54:38.0762419Z 
2025-08-26T20:54:38.0762534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0762890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0763221Z     return mod(**inputs)
2025-08-26T20:54:38.0763571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0763955Z     outputs = self.bert(
2025-08-26T20:54:38.0764291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0764663Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0765031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0765409Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0765746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0766094Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0766495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0766881Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0767267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0767635Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0767990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0768360Z     self_outputs = self.self(
2025-08-26T20:54:38.0768716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0769079Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0769433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.0769809Z     self.value(current_states)
2025-08-26T20:54:38.0769936Z 
2025-08-26T20:54:38.0770018Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0770260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0770621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0770942Z     return mod(**inputs)
2025-08-26T20:54:38.0771307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0771686Z     outputs = self.bert(
2025-08-26T20:54:38.0772094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0772650Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0773100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0773534Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0773938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0774331Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0774720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0775176Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0775620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0776079Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0776496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0776923Z     self_outputs = self.self(
2025-08-26T20:54:38.0777336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0777760Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0778175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.0778693Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.0778918Z 
2025-08-26T20:54:38.0779039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0779436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0779817Z     return mod(**inputs)
2025-08-26T20:54:38.0780216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0780646Z     outputs = self.bert(
2025-08-26T20:54:38.0781067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0781502Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0781932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0782308Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0782650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0783007Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0783388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0783777Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0784148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0784520Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0784881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.0785318Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.0785756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.0786146Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0786293Z 
2025-08-26T20:54:38.0786400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0786755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0787078Z     return mod(**inputs)
2025-08-26T20:54:38.0787481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0787863Z     outputs = self.bert(
2025-08-26T20:54:38.0788217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0788601Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0788977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0789350Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0789700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0790057Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0790904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0791298Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0791706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0792092Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0792491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0792940Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0793365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.0793774Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0793919Z 
2025-08-26T20:54:38.0794022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0794378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0794706Z     return mod(**inputs)
2025-08-26T20:54:38.0795062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0795446Z     outputs = self.bert(
2025-08-26T20:54:38.0795803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0796201Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0796568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0796942Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0797290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0797652Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0798041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0798439Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0798834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0799228Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0799638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0800105Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0800544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.0800973Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.0801370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.0801728Z     return self.act(input)
2025-08-26T20:54:38.0801879Z 
2025-08-26T20:54:38.0801997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0802365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0802694Z     return mod(**inputs)
2025-08-26T20:54:38.0803060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0803448Z     outputs = self.bert(
2025-08-26T20:54:38.0803820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0804195Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0804574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0804953Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0805300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0805659Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0806035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0806426Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0807047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0807458Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0807872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.0808404Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.0808852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.0809296Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0809441Z 
2025-08-26T20:54:38.0809560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0809925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0810268Z     return mod(**inputs)
2025-08-26T20:54:38.0810635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0811049Z     outputs = self.bert(
2025-08-26T20:54:38.0811410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0811793Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0812175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0812662Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0813049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0813435Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0813847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0814270Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0814662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0815045Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0815414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0815800Z     self_outputs = self.self(
2025-08-26T20:54:38.0816170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0816550Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0816979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.0817505Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.0817784Z 
2025-08-26T20:54:38.0817894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0818269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0818603Z     return mod(**inputs)
2025-08-26T20:54:38.0818967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0819352Z     outputs = self.bert(
2025-08-26T20:54:38.0819721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0820117Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0820509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0820896Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0821313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0821694Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0822094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0822489Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0822892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0823270Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0823648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0824034Z     self_outputs = self.self(
2025-08-26T20:54:38.0824398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0824780Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0825134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.0825518Z     self.key(current_states)
2025-08-26T20:54:38.0825632Z 
2025-08-26T20:54:38.0825743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0826090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0826403Z     return mod(**inputs)
2025-08-26T20:54:38.0826749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0827113Z     outputs = self.bert(
2025-08-26T20:54:38.0827451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0827823Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0828186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0828553Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0828890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0829233Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0829603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0829977Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0830346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0830738Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0831087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0831448Z     self_outputs = self.self(
2025-08-26T20:54:38.0831796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0832157Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0832504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.0832870Z     self.value(current_states)
2025-08-26T20:54:38.0832994Z 
2025-08-26T20:54:38.0833076Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0833316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0833665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0833972Z     return mod(**inputs)
2025-08-26T20:54:38.0834324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0834690Z     outputs = self.bert(
2025-08-26T20:54:38.0835036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0835402Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0835775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0836145Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0836500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0836852Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0837218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0837596Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0837964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0838380Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0838719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0839106Z     self_outputs = self.self(
2025-08-26T20:54:38.0839457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0839821Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0840176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.0840599Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.0840785Z 
2025-08-26T20:54:38.0840890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0841239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0841552Z     return mod(**inputs)
2025-08-26T20:54:38.0841906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0842268Z     outputs = self.bert(
2025-08-26T20:54:38.0842616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0842990Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0843359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0843724Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0844065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0844457Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0844831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0845209Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0845573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0845937Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0846291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.0846710Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.0847127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.0847497Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0847640Z 
2025-08-26T20:54:38.0847744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0848094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0848406Z     return mod(**inputs)
2025-08-26T20:54:38.0848750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0849117Z     outputs = self.bert(
2025-08-26T20:54:38.0849461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0849854Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0850220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0850583Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0850923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0851279Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0851653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0852031Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0852455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0852998Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0853447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0853935Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0854341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.0854721Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0854879Z 
2025-08-26T20:54:38.0854984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0855333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0855649Z     return mod(**inputs)
2025-08-26T20:54:38.0855986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0856352Z     outputs = self.bert(
2025-08-26T20:54:38.0856697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0857070Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0857428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0857794Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0858196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0858550Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0858927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0859299Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0859690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0860075Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0860470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0860912Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0861317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.0861728Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.0862097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.0862425Z     return self.act(input)
2025-08-26T20:54:38.0862535Z 
2025-08-26T20:54:38.0862644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0862983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0863296Z     return mod(**inputs)
2025-08-26T20:54:38.0878378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0878902Z     outputs = self.bert(
2025-08-26T20:54:38.0879269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0879644Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0880037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0880408Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0880752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0881109Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0881477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0881899Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0882296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0882685Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0883088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.0883533Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.0883960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.0884341Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0884477Z 
2025-08-26T20:54:38.0884593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0884948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0885270Z     return mod(**inputs)
2025-08-26T20:54:38.0885623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0885990Z     outputs = self.bert(
2025-08-26T20:54:38.0886337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0886698Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0887117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0887483Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0887821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0888170Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0888531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0888902Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0889275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0889636Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0889984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0890347Z     self_outputs = self.self(
2025-08-26T20:54:38.0890714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0891081Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0891444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.0891944Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.0892208Z 
2025-08-26T20:54:38.0892317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0892792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0893121Z     return mod(**inputs)
2025-08-26T20:54:38.0893477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0893854Z     outputs = self.bert(
2025-08-26T20:54:38.0894263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0894664Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0895055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0896272Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0896633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0897004Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0897390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0897786Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0898179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0898558Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0898932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0899309Z     self_outputs = self.self(
2025-08-26T20:54:38.0899667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0900029Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0900394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.0900770Z     self.key(current_states)
2025-08-26T20:54:38.0900888Z 
2025-08-26T20:54:38.0900996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0901362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0901690Z     return mod(**inputs)
2025-08-26T20:54:38.0902097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0902469Z     outputs = self.bert(
2025-08-26T20:54:38.0902809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0903179Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0903546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0903915Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0904244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0904594Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0904965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0905347Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0905721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0906074Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0906433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0906955Z     self_outputs = self.self(
2025-08-26T20:54:38.0907315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0907729Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0908092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.0908467Z     self.value(current_states)
2025-08-26T20:54:38.0908589Z 
2025-08-26T20:54:38.0908686Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0908942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0909297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0909622Z     return mod(**inputs)
2025-08-26T20:54:38.0909982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0910391Z     outputs = self.bert(
2025-08-26T20:54:38.0910733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0911107Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0911477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0911851Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0912179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0912518Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0912884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0913255Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0913612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0913964Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0914305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0914661Z     self_outputs = self.self(
2025-08-26T20:54:38.0915000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0915357Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0915754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.0916181Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.0916367Z 
2025-08-26T20:54:38.0916471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0916825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0917145Z     return mod(**inputs)
2025-08-26T20:54:38.0917486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0917850Z     outputs = self.bert(
2025-08-26T20:54:38.0918241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0918604Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0918952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0919315Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0919643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0919986Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0920346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0920709Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0921069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0921436Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0921787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.0922206Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.0922617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.0922996Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0923139Z 
2025-08-26T20:54:38.0923246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0923597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0923917Z     return mod(**inputs)
2025-08-26T20:54:38.0924260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0924624Z     outputs = self.bert(
2025-08-26T20:54:38.0924973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0925367Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0925722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0926087Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0926422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0926766Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0927126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0927503Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0927888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0928270Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0928661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0929088Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0929523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.0929894Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0930027Z 
2025-08-26T20:54:38.0930134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0930476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0930780Z     return mod(**inputs)
2025-08-26T20:54:38.0931123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0931484Z     outputs = self.bert(
2025-08-26T20:54:38.0931823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0932191Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0932672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0933094Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0933471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0933868Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0934251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0934663Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0935070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0935503Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0935921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0936385Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0936823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.0937248Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.0937639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.0938012Z     return self.act(input)
2025-08-26T20:54:38.0938135Z 
2025-08-26T20:54:38.0938248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0938625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0938969Z     return mod(**inputs)
2025-08-26T20:54:38.0939344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0939726Z     outputs = self.bert(
2025-08-26T20:54:38.0940103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0940505Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0940897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0941295Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0941654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0942034Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0942435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0942846Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0943255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0943701Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0944120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.0944597Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.0945043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.0945440Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0945589Z 
2025-08-26T20:54:38.0945697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0946067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0946400Z     return mod(**inputs)
2025-08-26T20:54:38.0946766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0947147Z     outputs = self.bert(
2025-08-26T20:54:38.0947495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0947868Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0948233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0948595Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0948931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0949279Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0949675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0950061Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0950426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0950795Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0951156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0951526Z     self_outputs = self.self(
2025-08-26T20:54:38.0951879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0952250Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0952608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.0953110Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.0953369Z 
2025-08-26T20:54:38.0953482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0953823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0954139Z     return mod(**inputs)
2025-08-26T20:54:38.0954487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0954856Z     outputs = self.bert(
2025-08-26T20:54:38.0955199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0955565Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0955930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0956297Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0956636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0956985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0957381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0957762Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0958145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0958500Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0958843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0959204Z     self_outputs = self.self(
2025-08-26T20:54:38.0959551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0959904Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0960254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.0960628Z     self.key(current_states)
2025-08-26T20:54:38.0960744Z 
2025-08-26T20:54:38.0960849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0961195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0961504Z     return mod(**inputs)
2025-08-26T20:54:38.0961836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0962191Z     outputs = self.bert(
2025-08-26T20:54:38.0962528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0962891Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0963275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0963625Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0963956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0964296Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0964663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0965030Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0965386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0965758Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0966111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0966474Z     self_outputs = self.self(
2025-08-26T20:54:38.0966817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0967179Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0967538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.0967912Z     self.value(current_states)
2025-08-26T20:54:38.0968032Z 
2025-08-26T20:54:38.0968122Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.0968358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0968713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0969033Z     return mod(**inputs)
2025-08-26T20:54:38.0969393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0969766Z     outputs = self.bert(
2025-08-26T20:54:38.0970111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0970489Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0970892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0971262Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0971594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0971945Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0972317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0972836Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0973268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0973678Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0974062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.0974445Z     self_outputs = self.self(
2025-08-26T20:54:38.0974796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0975191Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0975599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.0976089Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.0976297Z 
2025-08-26T20:54:38.0976422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0976817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0977191Z     return mod(**inputs)
2025-08-26T20:54:38.0977581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0977993Z     outputs = self.bert(
2025-08-26T20:54:38.0978380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0978791Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0979191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0979597Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0979974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0980388Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0980798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.0981214Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.0981574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.0981925Z     return func(*args, **kwargs)
2025-08-26T20:54:38.0982274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.0982680Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.0983089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.0983462Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0983597Z 
2025-08-26T20:54:38.0983706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0984046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0984351Z     return mod(**inputs)
2025-08-26T20:54:38.0984692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0985050Z     outputs = self.bert(
2025-08-26T20:54:38.0985424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0985786Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0986151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0986524Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0986853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0987198Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0987554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0987925Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0988304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0988678Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0989062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0989496Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0989898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.0990267Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.0990396Z 
2025-08-26T20:54:38.0990504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0990835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0991166Z     return mod(**inputs)
2025-08-26T20:54:38.0991506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0991860Z     outputs = self.bert(
2025-08-26T20:54:38.0992202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0992558Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.0992913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.0993269Z     layer_outputs = layer_module(
2025-08-26T20:54:38.0993621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.0993957Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.0994315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.0994686Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.0995064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.0995441Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.0995820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.0996248Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.0996644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.0997039Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.0997397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.0997713Z     return self.act(input)
2025-08-26T20:54:38.0997827Z 
2025-08-26T20:54:38.0997927Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.0998265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.0998568Z     return mod(**inputs)
2025-08-26T20:54:38.0998926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.0999284Z     outputs = self.bert(
2025-08-26T20:54:38.0999623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.0999988Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1000345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1000695Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1001026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1001371Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1001740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1002115Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1002487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1002858Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1003246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1003685Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1004088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1004477Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1004615Z 
2025-08-26T20:54:38.1004716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1005055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1005365Z     return mod(**inputs)
2025-08-26T20:54:38.1005699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1006054Z     outputs = self.bert(
2025-08-26T20:54:38.1006391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1006921Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1007287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1007651Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1007997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1008362Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1008738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1009116Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1009497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1009867Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1010230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1010604Z     self_outputs = self.self(
2025-08-26T20:54:38.1010955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1011321Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1011683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1012188Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1012567Z 
2025-08-26T20:54:38.1012696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1013046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1013403Z     return mod(**inputs)
2025-08-26T20:54:38.1013794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1014194Z     outputs = self.bert(
2025-08-26T20:54:38.1014562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1014950Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1015345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1015723Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1016074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1016435Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1016810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1017200Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1017580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1017953Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1018311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1018714Z     self_outputs = self.self(
2025-08-26T20:54:38.1019069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1019441Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1019813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1020180Z     self.key(current_states)
2025-08-26T20:54:38.1020297Z 
2025-08-26T20:54:38.1020411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1020759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1021100Z     return mod(**inputs)
2025-08-26T20:54:38.1021445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1021803Z     outputs = self.bert(
2025-08-26T20:54:38.1022148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1022518Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1022883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1023242Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1023577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1023930Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1024303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1024681Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1025045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1025406Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1025759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1026121Z     self_outputs = self.self(
2025-08-26T20:54:38.1026494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1026857Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1027215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1027585Z     self.value(current_states)
2025-08-26T20:54:38.1027703Z 
2025-08-26T20:54:38.1027795Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1028028Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1028377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1028692Z     return mod(**inputs)
2025-08-26T20:54:38.1029042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1029391Z     outputs = self.bert(
2025-08-26T20:54:38.1029733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1030096Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1030457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1030824Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1031155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1031506Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1031878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1032271Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1032651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1032998Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1033349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1033702Z     self_outputs = self.self(
2025-08-26T20:54:38.1034044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1034400Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1034779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1035201Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1035382Z 
2025-08-26T20:54:38.1035492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1035840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1036146Z     return mod(**inputs)
2025-08-26T20:54:38.1036495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1036860Z     outputs = self.bert(
2025-08-26T20:54:38.1037199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1037572Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1037925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1038290Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1038618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1038961Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1039314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1039683Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1040077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1040437Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1040785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1041192Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1041608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1041984Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1042122Z 
2025-08-26T20:54:38.1042231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1042566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1042876Z     return mod(**inputs)
2025-08-26T20:54:38.1043223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1043585Z     outputs = self.bert(
2025-08-26T20:54:38.1043925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1044286Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1044645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1045008Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1045343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1045710Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1046080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1046462Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1046856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1047240Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1047631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1048101Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1048517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1048898Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1049035Z 
2025-08-26T20:54:38.1049146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1049491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1049808Z     return mod(**inputs)
2025-08-26T20:54:38.1050163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1050530Z     outputs = self.bert(
2025-08-26T20:54:38.1050927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1051304Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1051684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1052079Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1052420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1052843Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1053223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1053652Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1054062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1054456Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1054866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1055343Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1055767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1056188Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1056575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1056900Z     return self.act(input)
2025-08-26T20:54:38.1057019Z 
2025-08-26T20:54:38.1057124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1057474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1057794Z     return mod(**inputs)
2025-08-26T20:54:38.1058142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1058518Z     outputs = self.bert(
2025-08-26T20:54:38.1058874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1059259Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1059654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1060028Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1060374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1060739Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1061119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1061504Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1061905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1062318Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1062728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1063195Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1063625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1064020Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1064175Z 
2025-08-26T20:54:38.1064279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1064630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1064945Z     return mod(**inputs)
2025-08-26T20:54:38.1065288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1065663Z     outputs = self.bert(
2025-08-26T20:54:38.1066010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1066385Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1066744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1067119Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1067500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1067856Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1068230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1068604Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1068978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1069340Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1069700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1070067Z     self_outputs = self.self(
2025-08-26T20:54:38.1070411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1070773Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1071131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1071626Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1071883Z 
2025-08-26T20:54:38.1071989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1072320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1072628Z     return mod(**inputs)
2025-08-26T20:54:38.1072971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1073342Z     outputs = self.bert(
2025-08-26T20:54:38.1073669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1074029Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1074387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1074744Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1075070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1075406Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1075788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1076159Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1076519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1076865Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1077213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1077569Z     self_outputs = self.self(
2025-08-26T20:54:38.1077911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1078261Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1078602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1078961Z     self.key(current_states)
2025-08-26T20:54:38.1079077Z 
2025-08-26T20:54:38.1079178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1079522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1079817Z     return mod(**inputs)
2025-08-26T20:54:38.1080155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1080510Z     outputs = self.bert(
2025-08-26T20:54:38.1080877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1081241Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1081591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1081950Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1082279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1082622Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1082984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1083349Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1083710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1084060Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1084408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1084756Z     self_outputs = self.self(
2025-08-26T20:54:38.1085098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1085446Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1085796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1086153Z     self.value(current_states)
2025-08-26T20:54:38.1086290Z 
2025-08-26T20:54:38.1086371Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1086604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1086946Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1087253Z     return mod(**inputs)
2025-08-26T20:54:38.1087587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1087944Z     outputs = self.bert(
2025-08-26T20:54:38.1088282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1088646Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1089010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1089411Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1089739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1090080Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1090438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1090811Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1091181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1091540Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1091896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1092258Z     self_outputs = self.self(
2025-08-26T20:54:38.1092677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1093054Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1093421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1093859Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1094042Z 
2025-08-26T20:54:38.1094155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1094541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1094862Z     return mod(**inputs)
2025-08-26T20:54:38.1095234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1095623Z     outputs = self.bert(
2025-08-26T20:54:38.1095979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1096373Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1096757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1097137Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1097470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1097812Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1098186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1098560Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1098924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1099281Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1099628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1100042Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1100478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1100858Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1100994Z 
2025-08-26T20:54:38.1101100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1101450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1101762Z     return mod(**inputs)
2025-08-26T20:54:38.1102108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1102471Z     outputs = self.bert(
2025-08-26T20:54:38.1102826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1103195Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1103558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1103926Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1104252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1104601Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1104973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1105355Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1105746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1106124Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1106682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1107145Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1107564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1107946Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1108083Z 
2025-08-26T20:54:38.1108252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1108601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1108916Z     return mod(**inputs)
2025-08-26T20:54:38.1109264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1109623Z     outputs = self.bert(
2025-08-26T20:54:38.1109969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1110396Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1110768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1111130Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1111459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1111814Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1112185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1112564Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1112952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1113331Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1113733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1114201Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1114611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1115022Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1115376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1115701Z     return self.act(input)
2025-08-26T20:54:38.1115808Z 
2025-08-26T20:54:38.1115916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1116249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1116579Z     return mod(**inputs)
2025-08-26T20:54:38.1116922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1117276Z     outputs = self.bert(
2025-08-26T20:54:38.1117618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1117980Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1118330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1118686Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1119012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1119354Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1119709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1120079Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1120457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1120831Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1121215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1121646Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1122086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1122453Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1122582Z 
2025-08-26T20:54:38.1122690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1123030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1123334Z     return mod(**inputs)
2025-08-26T20:54:38.1123674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1124029Z     outputs = self.bert(
2025-08-26T20:54:38.1124372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1124732Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1125097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1125463Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1125798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1126153Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1126517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1126899Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1127276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1127366Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1127610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1127682Z     self_outputs = self.self(
2025-08-26T20:54:38.1127925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1127996Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1128233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1128444Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1128462Z 
2025-08-26T20:54:38.1128566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1128765Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1128832Z     return mod(**inputs)
2025-08-26T20:54:38.1129078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1129142Z     outputs = self.bert(
2025-08-26T20:54:38.1129385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1129465Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1129698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1129775Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1129990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1130069Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1130312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1130393Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1130631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1130733Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1130970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1131047Z     self_outputs = self.self(
2025-08-26T20:54:38.1131279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1131359Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1131597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1131669Z     self.key(current_states)
2025-08-26T20:54:38.1131679Z 
2025-08-26T20:54:38.1131783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1131976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1132043Z     return mod(**inputs)
2025-08-26T20:54:38.1132288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1132359Z     outputs = self.bert(
2025-08-26T20:54:38.1132711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1132796Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1133073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1133155Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1133405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1133512Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1133775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1133868Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1134126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1134211Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1134471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1134555Z     self_outputs = self.self(
2025-08-26T20:54:38.1134826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1134898Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1135155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1135231Z     self.value(current_states)
2025-08-26T20:54:38.1135235Z 
2025-08-26T20:54:38.1135331Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1135440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1135643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1135717Z     return mod(**inputs)
2025-08-26T20:54:38.1135969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1136043Z     outputs = self.bert(
2025-08-26T20:54:38.1136294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1136370Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1136628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1136702Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1136931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1137011Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1137290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1137384Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1137630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1137706Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1137956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1138035Z     self_outputs = self.self(
2025-08-26T20:54:38.1138284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1138351Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1138602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1138738Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1138742Z 
2025-08-26T20:54:38.1138851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1139046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1139113Z     return mod(**inputs)
2025-08-26T20:54:38.1139368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1139435Z     outputs = self.bert(
2025-08-26T20:54:38.1139706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1139781Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1140022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1140101Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1140319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1140408Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1140649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1140758Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1140994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1141066Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1141314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1141446Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1141695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1141779Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1141783Z 
2025-08-26T20:54:38.1141884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1142085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1142151Z     return mod(**inputs)
2025-08-26T20:54:38.1142404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1142471Z     outputs = self.bert(
2025-08-26T20:54:38.1142724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1142797Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1143038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1143152Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1143373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1143460Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1143701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1143788Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1144054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1144135Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1144417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1144539Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1144784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1144876Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1144879Z 
2025-08-26T20:54:38.1144982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1145184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1145252Z     return mod(**inputs)
2025-08-26T20:54:38.1145509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1145630Z     outputs = self.bert(
2025-08-26T20:54:38.1145878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1145962Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1146206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1146289Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1146516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1146595Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1146839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1146938Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1147194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1147274Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1147546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1147665Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1147904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1148025Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1148230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1148309Z     return self.act(input)
2025-08-26T20:54:38.1148313Z 
2025-08-26T20:54:38.1148416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1148610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1148686Z     return mod(**inputs)
2025-08-26T20:54:38.1148927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1149002Z     outputs = self.bert(
2025-08-26T20:54:38.1149275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1149349Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1149595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1149666Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1149884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1149965Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1150210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1150294Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1150546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1150630Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1150906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1151043Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1151276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1151356Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1151366Z 
2025-08-26T20:54:38.1151464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1151650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1151745Z     return mod(**inputs)
2025-08-26T20:54:38.1151982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1152053Z     outputs = self.bert(
2025-08-26T20:54:38.1152292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1152364Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1152607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1152679Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1152910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1152985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1153216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1153305Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1153531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1153607Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1153839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1153908Z     self_outputs = self.self(
2025-08-26T20:54:38.1154142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1154210Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1154447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1154641Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1154646Z 
2025-08-26T20:54:38.1154751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1154935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1154998Z     return mod(**inputs)
2025-08-26T20:54:38.1155278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1155345Z     outputs = self.bert(
2025-08-26T20:54:38.1155585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1155655Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1155885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1155962Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1156171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1156254Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1156485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1156566Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1156800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1156867Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1157102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1157170Z     self_outputs = self.self(
2025-08-26T20:54:38.1157403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1157487Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1157716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1157794Z     self.key(current_states)
2025-08-26T20:54:38.1157798Z 
2025-08-26T20:54:38.1157896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1158089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1158153Z     return mod(**inputs)
2025-08-26T20:54:38.1158390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1158464Z     outputs = self.bert(
2025-08-26T20:54:38.1158722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1158803Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1159040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1159110Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1159330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1159407Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1159652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1159733Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1159973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1160042Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1160285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1160360Z     self_outputs = self.self(
2025-08-26T20:54:38.1160588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1160660Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1160890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1160991Z     self.value(current_states)
2025-08-26T20:54:38.1160995Z 
2025-08-26T20:54:38.1161086Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1161188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1161383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1161449Z     return mod(**inputs)
2025-08-26T20:54:38.1161685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1161754Z     outputs = self.bert(
2025-08-26T20:54:38.1161989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1162066Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1162296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1162373Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1162582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1162657Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1162896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1162977Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1163210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1163297Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1163526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1163602Z     self_outputs = self.self(
2025-08-26T20:54:38.1163829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1163903Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1164132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1164261Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1164271Z 
2025-08-26T20:54:38.1164371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1164576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1164647Z     return mod(**inputs)
2025-08-26T20:54:38.1164884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1164955Z     outputs = self.bert(
2025-08-26T20:54:38.1165194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1165267Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1165508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1165575Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1165790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1165867Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1166099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1166188Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1166416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1166490Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1166763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1166890Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1167125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1167205Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1167208Z 
2025-08-26T20:54:38.1167317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1167502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1167573Z     return mod(**inputs)
2025-08-26T20:54:38.1167803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1167867Z     outputs = self.bert(
2025-08-26T20:54:38.1168105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1168180Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1168414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1168483Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1168691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1168777Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1169006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1169115Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1169356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1169439Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1169700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1169816Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1170051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1170130Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1170156Z 
2025-08-26T20:54:38.1170264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1170448Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1170515Z     return mod(**inputs)
2025-08-26T20:54:38.1170753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1170818Z     outputs = self.bert(
2025-08-26T20:54:38.1171057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1171129Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1171357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1171434Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1171639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1171723Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1171951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1172040Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1172281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1172357Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1172728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1172852Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1173103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1173228Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1173459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1173547Z     return self.act(input)
2025-08-26T20:54:38.1173552Z 
2025-08-26T20:54:38.1173677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1173887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1173955Z     return mod(**inputs)
2025-08-26T20:54:38.1174220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1174288Z     outputs = self.bert(
2025-08-26T20:54:38.1174540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1174628Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1174875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1174959Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1175188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1175286Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1175525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1175608Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1175865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1175941Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1176205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1176383Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1176634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1176728Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1176731Z 
2025-08-26T20:54:38.1176838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1177047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1177115Z     return mod(**inputs)
2025-08-26T20:54:38.1177370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1177449Z     outputs = self.bert(
2025-08-26T20:54:38.1177703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1177785Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1178040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1178114Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1178350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1178430Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1178687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1178808Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1179058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1179130Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1179375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1179460Z     self_outputs = self.self(
2025-08-26T20:54:38.1179703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1179786Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1180034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1180242Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1180245Z 
2025-08-26T20:54:38.1180363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1180562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1180636Z     return mod(**inputs)
2025-08-26T20:54:38.1180890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1180961Z     outputs = self.bert(
2025-08-26T20:54:38.1181219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1181295Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1181570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1181646Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1181876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1181962Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1182209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1182303Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1182548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1182646Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1182895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1182970Z     self_outputs = self.self(
2025-08-26T20:54:38.1183221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1183294Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1183554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1183630Z     self.key(current_states)
2025-08-26T20:54:38.1183633Z 
2025-08-26T20:54:38.1183742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1183951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1184020Z     return mod(**inputs)
2025-08-26T20:54:38.1184289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1184359Z     outputs = self.bert(
2025-08-26T20:54:38.1184624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1184700Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1184951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1185070Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1185299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1185390Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1185642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1185725Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1185962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1186034Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1186277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1186345Z     self_outputs = self.self(
2025-08-26T20:54:38.1186577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1186653Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1186886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1186964Z     self.value(current_states)
2025-08-26T20:54:38.1186967Z 
2025-08-26T20:54:38.1187047Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1187157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1187348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1187435Z     return mod(**inputs)
2025-08-26T20:54:38.1187677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1187741Z     outputs = self.bert(
2025-08-26T20:54:38.1188036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1188111Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1188346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1188423Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1188636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1188744Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1188979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1189062Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1189298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1189366Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1189610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1189680Z     self_outputs = self.self(
2025-08-26T20:54:38.1189917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1189985Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1190220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1190360Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1190364Z 
2025-08-26T20:54:38.1190467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1190664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1190732Z     return mod(**inputs)
2025-08-26T20:54:38.1190970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1191084Z     outputs = self.bert(
2025-08-26T20:54:38.1191325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1191403Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1191642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1191714Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1191937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1192018Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1192262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1192342Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1192586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1192654Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1192892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1193026Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1193264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1193350Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1193375Z 
2025-08-26T20:54:38.1193477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1193666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1193739Z     return mod(**inputs)
2025-08-26T20:54:38.1193977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1194049Z     outputs = self.bert(
2025-08-26T20:54:38.1194287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1194359Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1194603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1194692Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1194916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1194996Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1195248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1195328Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1195589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1195674Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1195946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1196072Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1196314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1196394Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1196406Z 
2025-08-26T20:54:38.1196508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1196704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1196776Z     return mod(**inputs)
2025-08-26T20:54:38.1197054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1197129Z     outputs = self.bert(
2025-08-26T20:54:38.1197367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1197439Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1197682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1197754Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1197975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1198055Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1198287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1198378Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1198629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1198713Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1198980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1199098Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1199340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1199470Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1199681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1199751Z     return self.act(input)
2025-08-26T20:54:38.1199754Z 
2025-08-26T20:54:38.1199862Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1200056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1200121Z     return mod(**inputs)
2025-08-26T20:54:38.1200371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1200437Z     outputs = self.bert(
2025-08-26T20:54:38.1200684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1200773Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1201006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1201087Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1201296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1201381Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1201615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1201704Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1201951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1202028Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1202297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1202429Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1202667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1202747Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1202750Z 
2025-08-26T20:54:38.1202883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1203083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1203148Z     return mod(**inputs)
2025-08-26T20:54:38.1203399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1203463Z     outputs = self.bert(
2025-08-26T20:54:38.1203696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1203773Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1204005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1204080Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1204288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1204373Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1204601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1204680Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1204911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1204981Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1205217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1205332Z     self_outputs = self.self(
2025-08-26T20:54:38.1205557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1205630Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1205859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1206059Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1206063Z 
2025-08-26T20:54:38.1206161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1206354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1206431Z     return mod(**inputs)
2025-08-26T20:54:38.1206830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1206911Z     outputs = self.bert(
2025-08-26T20:54:38.1207146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1207223Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1207463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1207534Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1207754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1207832Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1208077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1208159Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1208390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1208468Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1208704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1208780Z     self_outputs = self.self(
2025-08-26T20:54:38.1209073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1209151Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1209386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1209454Z     self.key(current_states)
2025-08-26T20:54:38.1209458Z 
2025-08-26T20:54:38.1209569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1209758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1209829Z     return mod(**inputs)
2025-08-26T20:54:38.1210068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1210134Z     outputs = self.bert(
2025-08-26T20:54:38.1210378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1210451Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1210691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1210763Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1210973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1211060Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1211295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1211410Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1211643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1211719Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1211960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1212029Z     self_outputs = self.self(
2025-08-26T20:54:38.1212264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1212332Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1212624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1212742Z     self.value(current_states)
2025-08-26T20:54:38.1212746Z 
2025-08-26T20:54:38.1212829Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1212943Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1213149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1213227Z     return mod(**inputs)
2025-08-26T20:54:38.1213507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1213580Z     outputs = self.bert(
2025-08-26T20:54:38.1213858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1213937Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1214196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1214272Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1214509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1214600Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1214842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1214937Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1215205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1215283Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1215528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1215599Z     self_outputs = self.self(
2025-08-26T20:54:38.1215846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1215918Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1216171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1216310Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1216313Z 
2025-08-26T20:54:38.1216417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1216623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1216689Z     return mod(**inputs)
2025-08-26T20:54:38.1216941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1217006Z     outputs = self.bert(
2025-08-26T20:54:38.1217258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1217334Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1217576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1217673Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1217888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1217974Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1218216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1218298Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1218542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1218611Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1218856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1219007Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1219250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1219341Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1219344Z 
2025-08-26T20:54:38.1219448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1219656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1219723Z     return mod(**inputs)
2025-08-26T20:54:38.1219975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1220043Z     outputs = self.bert(
2025-08-26T20:54:38.1220287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1220371Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1220612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1220692Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1220912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1220989Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1221269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1221356Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1221619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1221696Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1221969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1222099Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1222340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1222428Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1222431Z 
2025-08-26T20:54:38.1222534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1222737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1222803Z     return mod(**inputs)
2025-08-26T20:54:38.1223045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1223121Z     outputs = self.bert(
2025-08-26T20:54:38.1223363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1223446Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1223686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1223779Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1224003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1224082Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1224328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1224414Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1224677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1224754Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1225045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1225179Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1225421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1225543Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1225758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1225829Z     return self.act(input)
2025-08-26T20:54:38.1225833Z 
2025-08-26T20:54:38.1225946Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1226142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1226216Z     return mod(**inputs)
2025-08-26T20:54:38.1226463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1226531Z     outputs = self.bert(
2025-08-26T20:54:38.1226785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1226858Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1227108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1227181Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1227442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1227524Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1227765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1227859Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1228114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1228201Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1228472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1228606Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1228860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1228944Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1228948Z 
2025-08-26T20:54:38.1229059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1229255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1229334Z     return mod(**inputs)
2025-08-26T20:54:38.1229579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1229665Z     outputs = self.bert(
2025-08-26T20:54:38.1229915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1229989Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1230242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1230317Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1230537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1230625Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1230869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1230978Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1231217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1231290Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1231543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1231610Z     self_outputs = self.self(
2025-08-26T20:54:38.1231845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1231914Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1232154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1232348Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1232353Z 
2025-08-26T20:54:38.1232451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1232645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1232710Z     return mod(**inputs)
2025-08-26T20:54:38.1232951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1233015Z     outputs = self.bert(
2025-08-26T20:54:38.1233278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1233359Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1233590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1233665Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1233869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1233953Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1234181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1234261Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1234490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1234556Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1234793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1234860Z     self_outputs = self.self(
2025-08-26T20:54:38.1235086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1235158Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1235389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1235464Z     self.key(current_states)
2025-08-26T20:54:38.1235467Z 
2025-08-26T20:54:38.1235596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1235784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1235854Z     return mod(**inputs)
2025-08-26T20:54:38.1236086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1236160Z     outputs = self.bert(
2025-08-26T20:54:38.1236392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1236468Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1236699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1236791Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1237006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1237083Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1237317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1237395Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1237621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1237695Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1237922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1237996Z     self_outputs = self.self(
2025-08-26T20:54:38.1238219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1238287Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1238527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1238598Z     self.value(current_states)
2025-08-26T20:54:38.1238601Z 
2025-08-26T20:54:38.1238689Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1238789Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1239006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1239073Z     return mod(**inputs)
2025-08-26T20:54:38.1239302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1239372Z     outputs = self.bert(
2025-08-26T20:54:38.1239603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1239682Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1239910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1239981Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1240195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1240271Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1240507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1240589Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1240822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1240902Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1241143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1241220Z     self_outputs = self.self(
2025-08-26T20:54:38.1241454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1241541Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1241791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1241942Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1241946Z 
2025-08-26T20:54:38.1242067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1242277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1242414Z     return mod(**inputs)
2025-08-26T20:54:38.1242694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1242794Z     outputs = self.bert(
2025-08-26T20:54:38.1243071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1243155Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1243425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1243504Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1243745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1243842Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1244104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1244203Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1244464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1244543Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1244795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1244926Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1245179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1245300Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1245304Z 
2025-08-26T20:54:38.1245421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1245617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1245683Z     return mod(**inputs)
2025-08-26T20:54:38.1245938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1246004Z     outputs = self.bert(
2025-08-26T20:54:38.1246245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1246317Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1246546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1246623Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1246833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1246916Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1247147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1247235Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1247482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1247557Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1247843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1247960Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1248201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1248286Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1248289Z 
2025-08-26T20:54:38.1248394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1248597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1248662Z     return mod(**inputs)
2025-08-26T20:54:38.1248932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1248999Z     outputs = self.bert(
2025-08-26T20:54:38.1249253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1249333Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1249580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1249664Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1249888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1249977Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1250221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1250307Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1250573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1250655Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1250938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1251062Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1251335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1251460Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1251667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1251748Z     return self.act(input)
2025-08-26T20:54:38.1251751Z 
2025-08-26T20:54:38.1251861Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1252065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1252133Z     return mod(**inputs)
2025-08-26T20:54:38.1252383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1252459Z     outputs = self.bert(
2025-08-26T20:54:38.1252845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1252945Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1253208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1253286Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1253533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1253625Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1253899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1254014Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1254293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1254385Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1254685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1254849Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1255090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1255182Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1255204Z 
2025-08-26T20:54:38.1255310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1255505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1255583Z     return mod(**inputs)
2025-08-26T20:54:38.1255828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1255903Z     outputs = self.bert(
2025-08-26T20:54:38.1256151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1256226Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1256478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1256550Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1256779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1256860Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1257107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1257192Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1257431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1257509Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1257789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1257869Z     self_outputs = self.self(
2025-08-26T20:54:38.1258106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1258178Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1258432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1258638Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1258643Z 
2025-08-26T20:54:38.1258756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1258950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1259022Z     return mod(**inputs)
2025-08-26T20:54:38.1259270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1259336Z     outputs = self.bert(
2025-08-26T20:54:38.1259589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1259662Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1259912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1259988Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1260210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1261143Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1261386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1261478Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1261719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1261790Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1262037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1262108Z     self_outputs = self.self(
2025-08-26T20:54:38.1262379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1262448Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1262694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1262773Z     self.key(current_states)
2025-08-26T20:54:38.1262776Z 
2025-08-26T20:54:38.1262881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1263086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1263154Z     return mod(**inputs)
2025-08-26T20:54:38.1263406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1263473Z     outputs = self.bert(
2025-08-26T20:54:38.1263719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1263801Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1264046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1264128Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1264348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1264427Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1264712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1264796Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1265042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1265111Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1265355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1265433Z     self_outputs = self.self(
2025-08-26T20:54:38.1265680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1265757Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1265993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1266068Z     self.value(current_states)
2025-08-26T20:54:38.1266072Z 
2025-08-26T20:54:38.1266156Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1266259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1266456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1266519Z     return mod(**inputs)
2025-08-26T20:54:38.1266765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1266832Z     outputs = self.bert(
2025-08-26T20:54:38.1267071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1267167Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1267401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1267480Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1267694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1267772Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1268015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1268095Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1268356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1268423Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1268668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1268737Z     self_outputs = self.self(
2025-08-26T20:54:38.1268970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1269048Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1269284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1269422Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1269425Z 
2025-08-26T20:54:38.1269526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1269717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1269790Z     return mod(**inputs)
2025-08-26T20:54:38.1270029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1270102Z     outputs = self.bert(
2025-08-26T20:54:38.1270343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1270415Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1270691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1270763Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1270981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1271060Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1271302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1271383Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1271614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1271690Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1271922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1272056Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1272289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1272371Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1272374Z 
2025-08-26T20:54:38.1272482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1272672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1272744Z     return mod(**inputs)
2025-08-26T20:54:38.1272980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1273070Z     outputs = self.bert(
2025-08-26T20:54:38.1273307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1273379Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1273624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1273695Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1273913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1273990Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1274238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1274329Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1274576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1274658Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1274922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1275042Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1275285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1275366Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1275369Z 
2025-08-26T20:54:38.1275477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1275669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1275740Z     return mod(**inputs)
2025-08-26T20:54:38.1275980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1276046Z     outputs = self.bert(
2025-08-26T20:54:38.1276289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1276392Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1276634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1276705Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1276917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1277006Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1277238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1277332Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1277580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1277663Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1277928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1278046Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1278286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1278396Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1278609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1278678Z     return self.act(input)
2025-08-26T20:54:38.1278682Z 
2025-08-26T20:54:38.1278801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1278996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1279061Z     return mod(**inputs)
2025-08-26T20:54:38.1279308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1279375Z     outputs = self.bert(
2025-08-26T20:54:38.1279613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1279694Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1279927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1280039Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1280250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1280336Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1280570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1280651Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1280909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1280985Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1281261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1281388Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1281617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1281702Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1281707Z 
2025-08-26T20:54:38.1281806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1282001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1282063Z     return mod(**inputs)
2025-08-26T20:54:38.1282337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1282403Z     outputs = self.bert(
2025-08-26T20:54:38.1282637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1282716Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1282946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1283023Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1283232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1283310Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1283549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1283627Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1283866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1283935Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1284165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1284240Z     self_outputs = self.self(
2025-08-26T20:54:38.1284469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1284546Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1284782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1285004Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1285008Z 
2025-08-26T20:54:38.1285119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1285307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1285380Z     return mod(**inputs)
2025-08-26T20:54:38.1285613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1285684Z     outputs = self.bert(
2025-08-26T20:54:38.1285918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1286009Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1286244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1286315Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1286533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1286608Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1286843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1286932Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1287162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1287239Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1287474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1287551Z     self_outputs = self.self(
2025-08-26T20:54:38.1287782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1287850Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1288091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1288190Z     self.key(current_states)
2025-08-26T20:54:38.1288195Z 
2025-08-26T20:54:38.1288306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1288494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1288562Z     return mod(**inputs)
2025-08-26T20:54:38.1288809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1288877Z     outputs = self.bert(
2025-08-26T20:54:38.1289124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1289198Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1289434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1289514Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1289730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1289816Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1290053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1290139Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1290372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1290440Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1290704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1290772Z     self_outputs = self.self(
2025-08-26T20:54:38.1291010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1291076Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1291316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1291397Z     self.value(current_states)
2025-08-26T20:54:38.1291400Z 
2025-08-26T20:54:38.1291480Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1291589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1291795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1291859Z     return mod(**inputs)
2025-08-26T20:54:38.1292108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1292174Z     outputs = self.bert(
2025-08-26T20:54:38.1292420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1292595Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1292890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1292971Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1293218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1293314Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1293604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1293704Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1293974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1294052Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1294344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1294460Z     self_outputs = self.self(
2025-08-26T20:54:38.1294738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1294813Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1295076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1295232Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1295237Z 
2025-08-26T20:54:38.1295350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1295570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1295641Z     return mod(**inputs)
2025-08-26T20:54:38.1295926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1295998Z     outputs = self.bert(
2025-08-26T20:54:38.1296279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1296368Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1296637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1296723Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1296959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1297045Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1297351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1297440Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1297738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1297816Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1298079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1298227Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1298490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1298608Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1298612Z 
2025-08-26T20:54:38.1298726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1298949Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1299022Z     return mod(**inputs)
2025-08-26T20:54:38.1299299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1299380Z     outputs = self.bert(
2025-08-26T20:54:38.1299651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1299740Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1300008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1300088Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1300335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1300421Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1300694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1300787Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1301142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1301229Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1301525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1301665Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1301926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1302024Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1302028Z 
2025-08-26T20:54:38.1302142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1302355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1302438Z     return mod(**inputs)
2025-08-26T20:54:38.1302704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1302788Z     outputs = self.bert(
2025-08-26T20:54:38.1303054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1303133Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1303403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1303483Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1303728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1303832Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1304104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1304195Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1304476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1304571Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1304868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1305009Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1305297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1305421Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1305657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1305734Z     return self.act(input)
2025-08-26T20:54:38.1305738Z 
2025-08-26T20:54:38.1305858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1306072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1306151Z     return mod(**inputs)
2025-08-26T20:54:38.1306418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1306654Z     outputs = self.bert(
2025-08-26T20:54:38.1306945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1307030Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1307303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1307386Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1307626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1307723Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1308055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1308158Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1308435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1308519Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1308826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1308969Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1309241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1309330Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1309334Z 
2025-08-26T20:54:38.1309453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1309667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1309740Z     return mod(**inputs)
2025-08-26T20:54:38.1310016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1310091Z     outputs = self.bert(
2025-08-26T20:54:38.1310374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1310457Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1310728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1310851Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1311083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1311164Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1311395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1311480Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1311706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1311773Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1312033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1312100Z     self_outputs = self.self(
2025-08-26T20:54:38.1312335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1312402Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1312632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1312835Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1312838Z 
2025-08-26T20:54:38.1312937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1313128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1313190Z     return mod(**inputs)
2025-08-26T20:54:38.1313422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1313495Z     outputs = self.bert(
2025-08-26T20:54:38.1313729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1313807Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1314037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1314113Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1314348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1314426Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1314664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1314744Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1314979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1315048Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1315278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1315354Z     self_outputs = self.self(
2025-08-26T20:54:38.1315579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1315656Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1315886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1315954Z     self.key(current_states)
2025-08-26T20:54:38.1315965Z 
2025-08-26T20:54:38.1316067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1316254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1316326Z     return mod(**inputs)
2025-08-26T20:54:38.1316557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1316649Z     outputs = self.bert(
2025-08-26T20:54:38.1316881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1316952Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1317191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1317260Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1317474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1317549Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1317798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1317890Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1318115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1318187Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1318414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1318484Z     self_outputs = self.self(
2025-08-26T20:54:38.1318716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1318782Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1319018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1319089Z     self.value(current_states)
2025-08-26T20:54:38.1319092Z 
2025-08-26T20:54:38.1319178Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1319278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1319463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1319534Z     return mod(**inputs)
2025-08-26T20:54:38.1319770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1319840Z     outputs = self.bert(
2025-08-26T20:54:38.1320112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1320185Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1320422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1320493Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1320706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1320782Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1321018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1321103Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1321332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1321407Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1321636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1321710Z     self_outputs = self.self(
2025-08-26T20:54:38.1321936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1322004Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1322242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1322390Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1322394Z 
2025-08-26T20:54:38.1322499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1322684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1322748Z     return mod(**inputs)
2025-08-26T20:54:38.1322994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1323057Z     outputs = self.bert(
2025-08-26T20:54:38.1323295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1323382Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1323608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1323682Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1323889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1323969Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1324197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1324283Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1324508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1324573Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1324805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1324930Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1325303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1325394Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1325397Z 
2025-08-26T20:54:38.1325497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1325691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1325787Z     return mod(**inputs)
2025-08-26T20:54:38.1326029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1326095Z     outputs = self.bert(
2025-08-26T20:54:38.1326328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1326409Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1326638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1326718Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1326923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1327008Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1327241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1327325Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1327575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1327649Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1327918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1328035Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1328263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1328375Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1328378Z 
2025-08-26T20:54:38.1328476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1328675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1328740Z     return mod(**inputs)
2025-08-26T20:54:38.1328983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1329048Z     outputs = self.bert(
2025-08-26T20:54:38.1329283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1329381Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1329609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1329688Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1329894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1329970Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1330209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1330290Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1330538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1330611Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1330869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1330991Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1331226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1331344Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1331547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1331651Z     return self.act(input)
2025-08-26T20:54:38.1331655Z 
2025-08-26T20:54:38.1331757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1331947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1332020Z     return mod(**inputs)
2025-08-26T20:54:38.1332259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1332334Z     outputs = self.bert(
2025-08-26T20:54:38.1332622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1332703Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1332950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1333023Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1333269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1333356Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1333637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1333729Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1334008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1334099Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1334417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1334570Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1334843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1334947Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1334950Z 
2025-08-26T20:54:38.1335063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1335258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1335333Z     return mod(**inputs)
2025-08-26T20:54:38.1335605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1335681Z     outputs = self.bert(
2025-08-26T20:54:38.1335927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1336003Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1336254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1336328Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1336554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1336633Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1336927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1337028Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1337260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1337338Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1337572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1337642Z     self_outputs = self.self(
2025-08-26T20:54:38.1337883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1337983Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1338229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1338432Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1338435Z 
2025-08-26T20:54:38.1338547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1338742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1338807Z     return mod(**inputs)
2025-08-26T20:54:38.1339060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1339126Z     outputs = self.bert(
2025-08-26T20:54:38.1339377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1339453Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1339693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1339773Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1339988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1340076Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1340317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1340417Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1340669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1340737Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1340978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1341046Z     self_outputs = self.self(
2025-08-26T20:54:38.1341281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1341349Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1341580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1341675Z     self.key(current_states)
2025-08-26T20:54:38.1341678Z 
2025-08-26T20:54:38.1341780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1341978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1342044Z     return mod(**inputs)
2025-08-26T20:54:38.1342281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1342354Z     outputs = self.bert(
2025-08-26T20:54:38.1342594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1342673Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1342909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1342981Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1343199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1343277Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1343520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1343602Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1343838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1343939Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1344178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1344254Z     self_outputs = self.self(
2025-08-26T20:54:38.1344487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1344565Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1344800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1344874Z     self.value(current_states)
2025-08-26T20:54:38.1344877Z 
2025-08-26T20:54:38.1344967Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1345072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1345271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1345340Z     return mod(**inputs)
2025-08-26T20:54:38.1348338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1348438Z     outputs = self.bert(
2025-08-26T20:54:38.1348690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1348777Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1349022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1349117Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1349342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1349421Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1349668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1349753Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1350029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1350099Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1350342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1350433Z     self_outputs = self.self(
2025-08-26T20:54:38.1350673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1350743Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1350979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1351117Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1351121Z 
2025-08-26T20:54:38.1351227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1351427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1351494Z     return mod(**inputs)
2025-08-26T20:54:38.1351736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1351811Z     outputs = self.bert(
2025-08-26T20:54:38.1352052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1352133Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1352372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1352442Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1352699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1352779Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1353022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1353102Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1353337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1353406Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1353635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1353767Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1353998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1354085Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1354088Z 
2025-08-26T20:54:38.1354189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1354456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1354529Z     return mod(**inputs)
2025-08-26T20:54:38.1354763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1354837Z     outputs = self.bert(
2025-08-26T20:54:38.1355069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1355164Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1355395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1355464Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1355676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1355751Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1355988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1356069Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1356309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1356411Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1356667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1356790Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1357020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1357102Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1357113Z 
2025-08-26T20:54:38.1357214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1357402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1357475Z     return mod(**inputs)
2025-08-26T20:54:38.1357708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1357780Z     outputs = self.bert(
2025-08-26T20:54:38.1358010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1358085Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1358318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1358387Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1358617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1358695Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1358924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1359012Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1359254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1359336Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1359594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1359721Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1359951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1360058Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1360297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1360367Z     return self.act(input)
2025-08-26T20:54:38.1360370Z 
2025-08-26T20:54:38.1360476Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1360664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1360727Z     return mod(**inputs)
2025-08-26T20:54:38.1360971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1361052Z     outputs = self.bert(
2025-08-26T20:54:38.1361293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1361365Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1361596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1361674Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1361885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1361969Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1362216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1362305Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1362548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1362621Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1362884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1363015Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1363253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1363332Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1363336Z 
2025-08-26T20:54:38.1363435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1363627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1363690Z     return mod(**inputs)
2025-08-26T20:54:38.1363930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1363994Z     outputs = self.bert(
2025-08-26T20:54:38.1364230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1364317Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1364551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1364628Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1364835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1364919Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1365147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1365229Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1365463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1365530Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1365767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1365834Z     self_outputs = self.self(
2025-08-26T20:54:38.1366081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1366159Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1366387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1366589Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1366592Z 
2025-08-26T20:54:38.1366712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1366907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1366972Z     return mod(**inputs)
2025-08-26T20:54:38.1367207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1367285Z     outputs = self.bert(
2025-08-26T20:54:38.1367523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1367603Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1367837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1367925Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1368140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1368218Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1368454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1368533Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1368761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1368835Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1369067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1369142Z     self_outputs = self.self(
2025-08-26T20:54:38.1369368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1369442Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1369671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1369741Z     self.key(current_states)
2025-08-26T20:54:38.1369744Z 
2025-08-26T20:54:38.1369851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1370034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1370121Z     return mod(**inputs)
2025-08-26T20:54:38.1370357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1370421Z     outputs = self.bert(
2025-08-26T20:54:38.1370660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1370735Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1370970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1371040Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1371247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1371328Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1371556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1371641Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1371884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1371957Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1372186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1372260Z     self_outputs = self.self(
2025-08-26T20:54:38.1372614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1372725Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1373008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1373087Z     self.value(current_states)
2025-08-26T20:54:38.1373091Z 
2025-08-26T20:54:38.1373185Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1373312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1373527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1373609Z     return mod(**inputs)
2025-08-26T20:54:38.1373874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1373967Z     outputs = self.bert(
2025-08-26T20:54:38.1374269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1374355Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1374635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1374713Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1374964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1375050Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1375325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1375425Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1375694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1375779Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1376053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1376132Z     self_outputs = self.self(
2025-08-26T20:54:38.1376414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1376490Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1376794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1376946Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1376950Z 
2025-08-26T20:54:38.1377061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1377291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1377378Z     return mod(**inputs)
2025-08-26T20:54:38.1377658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1377739Z     outputs = self.bert(
2025-08-26T20:54:38.1378016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1378096Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1378379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1378457Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1378718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1378807Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1379075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1379175Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1379444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1379547Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1379816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1379946Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1380180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1380262Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1380266Z 
2025-08-26T20:54:38.1380371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1380557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1380645Z     return mod(**inputs)
2025-08-26T20:54:38.1380880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1380945Z     outputs = self.bert(
2025-08-26T20:54:38.1381188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1381259Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1381497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1381566Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1381774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1381857Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1382090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1382181Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1382423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1382504Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1382764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1382896Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1383136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1383218Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1383222Z 
2025-08-26T20:54:38.1383328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1383517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1383579Z     return mod(**inputs)
2025-08-26T20:54:38.1383816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1383881Z     outputs = self.bert(
2025-08-26T20:54:38.1384119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1384189Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1384429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1384499Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1384726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1384810Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1385037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1385124Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1385385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1385458Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1385723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1385837Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1386073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1386178Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1386384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1386469Z     return self.act(input)
2025-08-26T20:54:38.1386472Z 
2025-08-26T20:54:38.1386570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1386762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1386825Z     return mod(**inputs)
2025-08-26T20:54:38.1387062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1387127Z     outputs = self.bert(
2025-08-26T20:54:38.1387359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1387439Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1387664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1387741Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1387949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1388026Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1388263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1388343Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1388592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1388683Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1388952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1389079Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1389308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1389397Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1389400Z 
2025-08-26T20:54:38.1389498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1389690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1389753Z     return mod(**inputs)
2025-08-26T20:54:38.1389985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1390059Z     outputs = self.bert(
2025-08-26T20:54:38.1390293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1390387Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1390618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1390689Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1390901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1390995Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1391230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1391312Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1391547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1391619Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1391850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1391928Z     self_outputs = self.self(
2025-08-26T20:54:38.1392155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1392249Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1392476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1392673Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1392685Z 
2025-08-26T20:54:38.1392783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1392968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1393038Z     return mod(**inputs)
2025-08-26T20:54:38.1393270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1393342Z     outputs = self.bert(
2025-08-26T20:54:38.1393573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1393646Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1393883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1393953Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1394168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1394244Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1394488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1394576Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1394802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1394877Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1395104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1395173Z     self_outputs = self.self(
2025-08-26T20:54:38.1395404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1395472Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1395708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1395776Z     self.key(current_states)
2025-08-26T20:54:38.1395779Z 
2025-08-26T20:54:38.1395887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1396089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1396155Z     return mod(**inputs)
2025-08-26T20:54:38.1396390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1396454Z     outputs = self.bert(
2025-08-26T20:54:38.1396690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1396784Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1397012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1397088Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1397295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1397377Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1397605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1397684Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1397915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1398024Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1398260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1398327Z     self_outputs = self.self(
2025-08-26T20:54:38.1398561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1398626Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1398862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1398938Z     self.value(current_states)
2025-08-26T20:54:38.1398941Z 
2025-08-26T20:54:38.1399021Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1399127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1399312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1399377Z     return mod(**inputs)
2025-08-26T20:54:38.1399622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1399685Z     outputs = self.bert(
2025-08-26T20:54:38.1399927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1399997Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1400245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1400322Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1400530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1400616Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1400844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1400924Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1401153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1401221Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1401456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1401522Z     self_outputs = self.self(
2025-08-26T20:54:38.1401754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1401821Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1402065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1402205Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1402209Z 
2025-08-26T20:54:38.1402309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1402503Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1402583Z     return mod(**inputs)
2025-08-26T20:54:38.1402817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1402887Z     outputs = self.bert(
2025-08-26T20:54:38.1403119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1403198Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1403428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1403504Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1403709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1403802Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1404037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1404118Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1404348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1404417Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1404647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1404781Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1405010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1405098Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1405101Z 
2025-08-26T20:54:38.1405200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1405384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1405455Z     return mod(**inputs)
2025-08-26T20:54:38.1405686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1405756Z     outputs = self.bert(
2025-08-26T20:54:38.1406002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1406083Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1406324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1406394Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1406785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1406878Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1407153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1407251Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1407532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1407627Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1407926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1408129Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1408397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1408498Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1408501Z 
2025-08-26T20:54:38.1408613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1408852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1408927Z     return mod(**inputs)
2025-08-26T20:54:38.1409171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1409247Z     outputs = self.bert(
2025-08-26T20:54:38.1409491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1409567Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1409817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1409890Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1410145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1410225Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1410467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1410562Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1410818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1410907Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1411183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1411311Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1411555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1411673Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1411892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1411966Z     return self.act(input)
2025-08-26T20:54:38.1411970Z 
2025-08-26T20:54:38.1412083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1412281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1412372Z     return mod(**inputs)
2025-08-26T20:54:38.1412681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1412755Z     outputs = self.bert(
2025-08-26T20:54:38.1413019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1413100Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1413364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1413450Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1413691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1413782Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1414034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1414137Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1414417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1414498Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1414788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1414919Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1415167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1415266Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1415270Z 
2025-08-26T20:54:38.1415372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1415570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1415637Z     return mod(**inputs)
2025-08-26T20:54:38.1415882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1415947Z     outputs = self.bert(
2025-08-26T20:54:38.1416195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1416287Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1416524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1416605Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1416815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1416899Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1417134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1417215Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1417456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1417525Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1417768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1417839Z     self_outputs = self.self(
2025-08-26T20:54:38.1418072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1418149Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1418382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1418605Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1418609Z 
2025-08-26T20:54:38.1418711Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1418908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1418973Z     return mod(**inputs)
2025-08-26T20:54:38.1419211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1419284Z     outputs = self.bert(
2025-08-26T20:54:38.1419525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1419606Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1419842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1419912Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1420133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1420213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1420479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1420562Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1420799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1420866Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1421117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1421195Z     self_outputs = self.self(
2025-08-26T20:54:38.1421425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1421500Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1421736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1421807Z     self.key(current_states)
2025-08-26T20:54:38.1421811Z 
2025-08-26T20:54:38.1421919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1422109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1422198Z     return mod(**inputs)
2025-08-26T20:54:38.1422438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1422505Z     outputs = self.bert(
2025-08-26T20:54:38.1422750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1422823Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1423068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1423137Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1423349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1423435Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1423671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1423759Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1423988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1424063Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1424298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1424366Z     self_outputs = self.self(
2025-08-26T20:54:38.1424620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1424688Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1424982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1425050Z     self.value(current_states)
2025-08-26T20:54:38.1425056Z 
2025-08-26T20:54:38.1425134Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1425238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1425423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1425495Z     return mod(**inputs)
2025-08-26T20:54:38.1425726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1425789Z     outputs = self.bert(
2025-08-26T20:54:38.1426028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1426099Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1426348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1426418Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1426631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1426707Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1426933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1427036Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1427259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1427330Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1427559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1427627Z     self_outputs = self.self(
2025-08-26T20:54:38.1427862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1427928Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1428184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1428314Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1428319Z 
2025-08-26T20:54:38.1428424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1428612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1428675Z     return mod(**inputs)
2025-08-26T20:54:38.1428917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1428980Z     outputs = self.bert(
2025-08-26T20:54:38.1429219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1429289Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1429520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1429596Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1429802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1429885Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1430116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1430196Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1430449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1430519Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1430753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1430879Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1431124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1431206Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1431209Z 
2025-08-26T20:54:38.1431308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1431506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1431571Z     return mod(**inputs)
2025-08-26T20:54:38.1431817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1431882Z     outputs = self.bert(
2025-08-26T20:54:38.1432133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1432216Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1432451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1432529Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1432754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1432831Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1433069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1433152Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1433404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1433480Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1433747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1433884Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1434118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1434217Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1434220Z 
2025-08-26T20:54:38.1434319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1434513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1434576Z     return mod(**inputs)
2025-08-26T20:54:38.1434812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1434884Z     outputs = self.bert(
2025-08-26T20:54:38.1435118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1435197Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1435432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1435509Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1435719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1435795Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1436031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1436126Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1436377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1436451Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1436706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1436827Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1437054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1437170Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1437368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1437435Z     return self.act(input)
2025-08-26T20:54:38.1437445Z 
2025-08-26T20:54:38.1437544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1437745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1437819Z     return mod(**inputs)
2025-08-26T20:54:38.1438053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1438124Z     outputs = self.bert(
2025-08-26T20:54:38.1438357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1438445Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1438680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1438748Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1438960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1439035Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1439266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1439351Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1439593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1439690Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1439949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1440086Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1440320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1440398Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1440403Z 
2025-08-26T20:54:38.1440508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1440696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1440767Z     return mod(**inputs)
2025-08-26T20:54:38.1441001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1441065Z     outputs = self.bert(
2025-08-26T20:54:38.1441305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1441378Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1441619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1441688Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1441921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1442005Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1442234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1442320Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1442547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1442622Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1442850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1442918Z     self_outputs = self.self(
2025-08-26T20:54:38.1443148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1443214Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1443451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1443661Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1443665Z 
2025-08-26T20:54:38.1443764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1443960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1444023Z     return mod(**inputs)
2025-08-26T20:54:38.1444262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1444342Z     outputs = self.bert(
2025-08-26T20:54:38.1444573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1444650Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1444882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1444960Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1445166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1445248Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1445495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1445574Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1445811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1445879Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1446116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1446183Z     self_outputs = self.self(
2025-08-26T20:54:38.1446407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1446483Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1446712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1446791Z     self.key(current_states)
2025-08-26T20:54:38.1446794Z 
2025-08-26T20:54:38.1446892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1447082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1447147Z     return mod(**inputs)
2025-08-26T20:54:38.1447377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1447448Z     outputs = self.bert(
2025-08-26T20:54:38.1447694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1447775Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1448003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1448072Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1448283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1448361Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1448596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1448676Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1448898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1448972Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1449198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1449319Z     self_outputs = self.self(
2025-08-26T20:54:38.1449546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1449612Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1449848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1449918Z     self.value(current_states)
2025-08-26T20:54:38.1449937Z 
2025-08-26T20:54:38.1450026Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1450125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1450314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1450377Z     return mod(**inputs)
2025-08-26T20:54:38.1450608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1450680Z     outputs = self.bert(
2025-08-26T20:54:38.1450911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1450990Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1451236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1451306Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1451523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1451598Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1451831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1451911Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1452136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1452214Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1452460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1452617Z     self_outputs = self.self(
2025-08-26T20:54:38.1452870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1452953Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1453202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1453340Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1453343Z 
2025-08-26T20:54:38.1453460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1453680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1453769Z     return mod(**inputs)
2025-08-26T20:54:38.1454003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1454067Z     outputs = self.bert(
2025-08-26T20:54:38.1454312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1454384Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1454622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1454690Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1454899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1454985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1455212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1455315Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1455541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1455613Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1455842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1455984Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1456224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1456305Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1456309Z 
2025-08-26T20:54:38.1456421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1456613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1456680Z     return mod(**inputs)
2025-08-26T20:54:38.1456928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1456992Z     outputs = self.bert(
2025-08-26T20:54:38.1457258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1457330Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1457574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1457646Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1457858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1457944Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1458182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1458272Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1458521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1458598Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1458870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1458989Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1459233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1459314Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1459318Z 
2025-08-26T20:54:38.1459443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1459639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1459705Z     return mod(**inputs)
2025-08-26T20:54:38.1459954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1460021Z     outputs = self.bert(
2025-08-26T20:54:38.1460268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1460342Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1460578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1460658Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1460872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1460959Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1461220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1461306Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1461569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1461649Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1461928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1462062Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1462317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1462427Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1462631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1462711Z     return self.act(input)
2025-08-26T20:54:38.1462715Z 
2025-08-26T20:54:38.1462816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1463010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1463104Z     return mod(**inputs)
2025-08-26T20:54:38.1463343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1463417Z     outputs = self.bert(
2025-08-26T20:54:38.1463654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1463734Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1463970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1464040Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1464264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1464342Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1464587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1464669Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1464924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1465002Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1465264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1465420Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1465661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1465751Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1465754Z 
2025-08-26T20:54:38.1465857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1466047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1466120Z     return mod(**inputs)
2025-08-26T20:54:38.1466362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1466437Z     outputs = self.bert(
2025-08-26T20:54:38.1466679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1466758Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1466996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1467068Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1467306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1467385Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1467816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1467898Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1468149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1468228Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1468461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1468535Z     self_outputs = self.self(
2025-08-26T20:54:38.1468769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1468841Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1469085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1469302Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1469305Z 
2025-08-26T20:54:38.1469415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1469606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1469680Z     return mod(**inputs)
2025-08-26T20:54:38.1469918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1469983Z     outputs = self.bert(
2025-08-26T20:54:38.1470231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1470306Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1470546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1470616Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1470829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1470914Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1471148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1471236Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1471468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1471563Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1471797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1471866Z     self_outputs = self.self(
2025-08-26T20:54:38.1472104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1472174Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1472414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1472485Z     self.key(current_states)
2025-08-26T20:54:38.1472488Z 
2025-08-26T20:54:38.1472589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1472784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1472849Z     return mod(**inputs)
2025-08-26T20:54:38.1473093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1473158Z     outputs = self.bert(
2025-08-26T20:54:38.1473412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1473495Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1473733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1473812Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1474041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1474137Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1474364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1474443Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1474675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1474742Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1474979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1475063Z     self_outputs = self.self(
2025-08-26T20:54:38.1475288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1475364Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1475594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1475671Z     self.value(current_states)
2025-08-26T20:54:38.1475674Z 
2025-08-26T20:54:38.1475753Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1475851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1476041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1476106Z     return mod(**inputs)
2025-08-26T20:54:38.1476344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1476407Z     outputs = self.bert(
2025-08-26T20:54:38.1476649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1476720Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1476951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1477026Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1477233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1477334Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1477566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1477644Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1477875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1477942Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1478180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1478249Z     self_outputs = self.self(
2025-08-26T20:54:38.1478477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1478552Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1478781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1478915Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1478919Z 
2025-08-26T20:54:38.1479034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1479227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1479292Z     return mod(**inputs)
2025-08-26T20:54:38.1479524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1479596Z     outputs = self.bert(
2025-08-26T20:54:38.1479846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1479924Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1480156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1480227Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1480444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1480520Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1480753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1480853Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1481080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1481155Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1481384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1481514Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1481746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1481831Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1481834Z 
2025-08-26T20:54:38.1481934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1482116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1482187Z     return mod(**inputs)
2025-08-26T20:54:38.1482420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1482489Z     outputs = self.bert(
2025-08-26T20:54:38.1482722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1482792Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1483029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1483112Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1483330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1483405Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1483634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1483721Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1483964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1484045Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1484303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1484424Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1484651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1484745Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1484750Z 
2025-08-26T20:54:38.1484858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1485041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1485114Z     return mod(**inputs)
2025-08-26T20:54:38.1485344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1485434Z     outputs = self.bert(
2025-08-26T20:54:38.1485671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1485742Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1485979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1486050Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1486263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1486339Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1486567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1486670Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1486912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1486993Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1487251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1487366Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1487604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1487715Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1487925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1487994Z     return self.act(input)
2025-08-26T20:54:38.1487997Z 
2025-08-26T20:54:38.1488104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1488290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1488355Z     return mod(**inputs)
2025-08-26T20:54:38.1488597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1488662Z     outputs = self.bert(
2025-08-26T20:54:38.1488919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1488993Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1489221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1489300Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1489506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1489590Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1489819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1489910Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1490159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1490233Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1490498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1490639Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1490879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1490959Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1490963Z 
2025-08-26T20:54:38.1491060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1491295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1491360Z     return mod(**inputs)
2025-08-26T20:54:38.1491600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1491663Z     outputs = self.bert(
2025-08-26T20:54:38.1491904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1491985Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1492224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1492302Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1492593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1492679Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1492928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1493013Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1493268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1493342Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1493602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1493681Z     self_outputs = self.self(
2025-08-26T20:54:38.1493942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1494030Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1494301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1494524Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1494528Z 
2025-08-26T20:54:38.1494636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1494837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1495090Z     return mod(**inputs)
2025-08-26T20:54:38.1495348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1495427Z     outputs = self.bert(
2025-08-26T20:54:38.1495679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1495765Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1496014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1496089Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1496321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1496403Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1496658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1496743Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1497003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1497085Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1497381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1497464Z     self_outputs = self.self(
2025-08-26T20:54:38.1497709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1497799Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1498060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1498135Z     self.key(current_states)
2025-08-26T20:54:38.1498138Z 
2025-08-26T20:54:38.1498255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1498456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1498534Z     return mod(**inputs)
2025-08-26T20:54:38.1498785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1498852Z     outputs = self.bert(
2025-08-26T20:54:38.1499127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1499203Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1499462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1499536Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1499760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1499849Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1500096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1500191Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1500435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1500508Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1500764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1500839Z     self_outputs = self.self(
2025-08-26T20:54:38.1501122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1501194Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1501468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1501545Z     self.value(current_states)
2025-08-26T20:54:38.1501549Z 
2025-08-26T20:54:38.1501636Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1501752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1501952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1502029Z     return mod(**inputs)
2025-08-26T20:54:38.1502281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1502351Z     outputs = self.bert(
2025-08-26T20:54:38.1502611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1502688Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1502946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1503021Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1503260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1503351Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1503600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1503695Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1503943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1504033Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1504289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1504360Z     self_outputs = self.self(
2025-08-26T20:54:38.1504611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1504683Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1504939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1505076Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1505099Z 
2025-08-26T20:54:38.1505207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1505415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1505486Z     return mod(**inputs)
2025-08-26T20:54:38.1505746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1505815Z     outputs = self.bert(
2025-08-26T20:54:38.1506064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1506152Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1506400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1506596Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1506834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1506929Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1507180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1507267Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1507521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1507594Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1507896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1508034Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1508285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1508381Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1508386Z 
2025-08-26T20:54:38.1508495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1508702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1508773Z     return mod(**inputs)
2025-08-26T20:54:38.1509023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1509100Z     outputs = self.bert(
2025-08-26T20:54:38.1509351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1509435Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1509721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1509808Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1510032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1510117Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1510387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1510510Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1510802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1510882Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1511164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1511298Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1511560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1511659Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1511688Z 
2025-08-26T20:54:38.1511800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1512016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1512089Z     return mod(**inputs)
2025-08-26T20:54:38.1512354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1512433Z     outputs = self.bert(
2025-08-26T20:54:38.1512701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1512787Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1513053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1513131Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1513374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1513463Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1513731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1513824Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1514102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1514195Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1514513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1514655Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1514919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1515052Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1515280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1515359Z     return self.act(input)
2025-08-26T20:54:38.1515363Z 
2025-08-26T20:54:38.1515485Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1515700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1515779Z     return mod(**inputs)
2025-08-26T20:54:38.1516047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1516119Z     outputs = self.bert(
2025-08-26T20:54:38.1516408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1516491Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1516762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1516842Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1517079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1517191Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1517454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1517553Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1517831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1517926Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1518226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1518392Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1518662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1518753Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1518757Z 
2025-08-26T20:54:38.1518876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1519092Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1519157Z     return mod(**inputs)
2025-08-26T20:54:38.1519404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1519470Z     outputs = self.bert(
2025-08-26T20:54:38.1519711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1519783Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1520025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1520096Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1520309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1520396Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1520629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1520731Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1520966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1521035Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1521281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1521350Z     self_outputs = self.self(
2025-08-26T20:54:38.1521591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1521661Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1521896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1522104Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1522108Z 
2025-08-26T20:54:38.1522210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1522423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1522490Z     return mod(**inputs)
2025-08-26T20:54:38.1522735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1522801Z     outputs = self.bert(
2025-08-26T20:54:38.1523039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1523141Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1523374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1523453Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1523667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1523746Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1523989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1524072Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1524311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1524397Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1524640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1524711Z     self_outputs = self.self(
2025-08-26T20:54:38.1524942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1525018Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1525253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1525331Z     self.key(current_states)
2025-08-26T20:54:38.1525334Z 
2025-08-26T20:54:38.1525434Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1525622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1525697Z     return mod(**inputs)
2025-08-26T20:54:38.1525935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1526007Z     outputs = self.bert(
2025-08-26T20:54:38.1526247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1526319Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1526558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1526646Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1526865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1526942Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1527180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1527262Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1527489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1527563Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1527796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1527869Z     self_outputs = self.self(
2025-08-26T20:54:38.1528098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1528164Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1528420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1528494Z     self.value(current_states)
2025-08-26T20:54:38.1528497Z 
2025-08-26T20:54:38.1528585Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1528688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1528880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1528971Z     return mod(**inputs)
2025-08-26T20:54:38.1529211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1529284Z     outputs = self.bert(
2025-08-26T20:54:38.1529526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1529599Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1529846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1529917Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1530137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1530234Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1530478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1530559Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1530790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1530865Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1531101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1531178Z     self_outputs = self.self(
2025-08-26T20:54:38.1531409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1531477Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1531720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1531852Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1531856Z 
2025-08-26T20:54:38.1531963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1532154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1532231Z     return mod(**inputs)
2025-08-26T20:54:38.1532595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1532677Z     outputs = self.bert(
2025-08-26T20:54:38.1532957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1533038Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1533313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1533395Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1533639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1533730Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1533971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1534062Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1534301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1534372Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1534641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1534775Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1535029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1535115Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1535148Z 
2025-08-26T20:54:38.1535262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1535457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1535526Z     return mod(**inputs)
2025-08-26T20:54:38.1535781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1535848Z     outputs = self.bert(
2025-08-26T20:54:38.1536100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1536175Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1536418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1536522Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1536737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1536825Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1537065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1537151Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1537413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1537493Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1537774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1537896Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1538144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1538229Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1538232Z 
2025-08-26T20:54:38.1538337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1538538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1538606Z     return mod(**inputs)
2025-08-26T20:54:38.1538871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1538940Z     outputs = self.bert(
2025-08-26T20:54:38.1539183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1539264Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1539504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1539585Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1539800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1539890Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1540128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1540212Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1540475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1540570Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1540847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1540969Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1541215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1541354Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1541564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1541641Z     return self.act(input)
2025-08-26T20:54:38.1541644Z 
2025-08-26T20:54:38.1541748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1541950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1542016Z     return mod(**inputs)
2025-08-26T20:54:38.1542265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1542338Z     outputs = self.bert(
2025-08-26T20:54:38.1542599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1542679Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1542920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1542992Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1543215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1543295Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1543543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1543629Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1543880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1543967Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1544238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1544380Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1544621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1544712Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1544716Z 
2025-08-26T20:54:38.1544836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1545035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1545110Z     return mod(**inputs)
2025-08-26T20:54:38.1545358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1545436Z     outputs = self.bert(
2025-08-26T20:54:38.1545681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1545757Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1546011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1546083Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1546311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1546391Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1546660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1546752Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1546991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1547073Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1547315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1547416Z     self_outputs = self.self(
2025-08-26T20:54:38.1547654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1547725Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1547974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1548180Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1548184Z 
2025-08-26T20:54:38.1548294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1548487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1548574Z     return mod(**inputs)
2025-08-26T20:54:38.1548828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1548896Z     outputs = self.bert(
2025-08-26T20:54:38.1549146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1549220Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1549477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1549549Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1549775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1549857Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1550089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1550176Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1550401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1550470Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1550704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1550771Z     self_outputs = self.self(
2025-08-26T20:54:38.1551020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1551089Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1551321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1551397Z     self.key(current_states)
2025-08-26T20:54:38.1551402Z 
2025-08-26T20:54:38.1551501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1551693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1551759Z     return mod(**inputs)
2025-08-26T20:54:38.1551998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1552062Z     outputs = self.bert(
2025-08-26T20:54:38.1552294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1552374Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1552619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1552697Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1552903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1552981Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1553216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1553313Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1553546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1553611Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1553838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1553915Z     self_outputs = self.self(
2025-08-26T20:54:38.1554140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1554211Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1554439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1554534Z     self.value(current_states)
2025-08-26T20:54:38.1554544Z 
2025-08-26T20:54:38.1554624Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1554724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1554915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1554978Z     return mod(**inputs)
2025-08-26T20:54:38.1555217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1555280Z     outputs = self.bert(
2025-08-26T20:54:38.1555512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1555589Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1555814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1555890Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1556095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1556169Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1556403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1556481Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1556727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1556793Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1557023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1557096Z     self_outputs = self.self(
2025-08-26T20:54:38.1557327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1557401Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1557638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1557772Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1557775Z 
2025-08-26T20:54:38.1557875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1558066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1558137Z     return mod(**inputs)
2025-08-26T20:54:38.1558392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1558466Z     outputs = self.bert(
2025-08-26T20:54:38.1558700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1558773Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1559012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1559100Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1559313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1559390Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1559621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1559707Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1559934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1560010Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1560256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1560385Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1560613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1560695Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1560698Z 
2025-08-26T20:54:38.1560805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1560989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1561061Z     return mod(**inputs)
2025-08-26T20:54:38.1561293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1561356Z     outputs = self.bert(
2025-08-26T20:54:38.1561596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1561668Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1561906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1561977Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1562190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1562267Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1562509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1562601Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1562840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1562921Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1563180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1563293Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1563527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1563605Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1563608Z 
2025-08-26T20:54:38.1563714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1563900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1563970Z     return mod(**inputs)
2025-08-26T20:54:38.1564217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1564284Z     outputs = self.bert(
2025-08-26T20:54:38.1564522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1564592Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1564847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1564918Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1565124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1565209Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1565442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1565532Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1565775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1565893Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1566160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1566276Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1566516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1566624Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1566831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1566899Z     return self.act(input)
2025-08-26T20:54:38.1566902Z 
2025-08-26T20:54:38.1567001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1567192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1567256Z     return mod(**inputs)
2025-08-26T20:54:38.1567545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1567610Z     outputs = self.bert(
2025-08-26T20:54:38.1567849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1567929Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1568167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1568261Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1568475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1568553Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1568795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1568881Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1569136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1569214Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1569485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1569613Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1569847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1569936Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1569953Z 
2025-08-26T20:54:38.1570055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1570254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1570321Z     return mod(**inputs)
2025-08-26T20:54:38.1570560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1570650Z     outputs = self.bert(
2025-08-26T20:54:38.1570886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1570965Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1571201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1571280Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1571492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1571570Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1571811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1571912Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1572150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1572222Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1572457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1572618Z     self_outputs = self.self(
2025-08-26T20:54:38.1572863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1572941Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1573179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 374, in forward
2025-08-26T20:54:38.1573408Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:54:38.1573421Z 
2025-08-26T20:54:38.1573540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1573758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1573857Z     return mod(**inputs)
2025-08-26T20:54:38.1574124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1574209Z     outputs = self.bert(
2025-08-26T20:54:38.1574501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1574582Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1574845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1574921Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1575161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1575244Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1575483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1575579Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1575817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1575896Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1576139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1576227Z     self_outputs = self.self(
2025-08-26T20:54:38.1576473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1576554Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1576798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 402, in forward
2025-08-26T20:54:38.1576869Z     self.key(current_states)
2025-08-26T20:54:38.1576897Z 
2025-08-26T20:54:38.1577008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1577204Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1577272Z     return mod(**inputs)
2025-08-26T20:54:38.1577528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1577595Z     outputs = self.bert(
2025-08-26T20:54:38.1577849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1577923Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1578165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1578272Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1578485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1578571Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1578807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1578890Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1579135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1579206Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1579455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1579526Z     self_outputs = self.self(
2025-08-26T20:54:38.1579770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1579839Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1580078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 407, in forward
2025-08-26T20:54:38.1580160Z     self.value(current_states)
2025-08-26T20:54:38.1580163Z 
2025-08-26T20:54:38.1580247Z cudagraph partition due to non gpu ops
2025-08-26T20:54:38.1580358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1580568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1580636Z     return mod(**inputs)
2025-08-26T20:54:38.1580888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1580954Z     outputs = self.bert(
2025-08-26T20:54:38.1581204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1581279Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1581519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1581600Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1581815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1581902Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1582143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1582244Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1582479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1582548Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1582791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-26T20:54:38.1582858Z     self_outputs = self.self(
2025-08-26T20:54:38.1583119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1583185Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1583427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-26T20:54:38.1583571Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:54:38.1583574Z 
2025-08-26T20:54:38.1583677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1583878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1583942Z     return mod(**inputs)
2025-08-26T20:54:38.1584185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1584271Z     outputs = self.bert(
2025-08-26T20:54:38.1584510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1584589Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1584825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1584899Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1585115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1585194Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1585440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-26T20:54:38.1585520Z     self_attention_outputs = self.attention(
2025-08-26T20:54:38.1585761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:54:38.1585831Z     return func(*args, **kwargs)
2025-08-26T20:54:38.1586070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 524, in forward
2025-08-26T20:54:38.1586202Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:54:38.1586441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 461, in forward
2025-08-26T20:54:38.1586545Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1586549Z 
2025-08-26T20:54:38.1586653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1586850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1586913Z     return mod(**inputs)
2025-08-26T20:54:38.1587159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1587228Z     outputs = self.bert(
2025-08-26T20:54:38.1587472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1587551Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1587793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1587863Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1588088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1588212Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1588460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1588544Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1588799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1588893Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1589161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1589283Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1589530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 539, in forward
2025-08-26T20:54:38.1589618Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1589621Z 
2025-08-26T20:54:38.1589725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1589923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1589996Z     return mod(**inputs)
2025-08-26T20:54:38.1590261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1590333Z     outputs = self.bert(
2025-08-26T20:54:38.1590583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1590657Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1590906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1590979Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1591203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1591282Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1591525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1591615Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1591873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1591956Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1592231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-26T20:54:38.1592356Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:54:38.1592616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-26T20:54:38.1592730Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:54:38.1592952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:54:38.1593023Z     return self.act(input)
2025-08-26T20:54:38.1593028Z 
2025-08-26T20:54:38.1593137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1593335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1593406Z     return mod(**inputs)
2025-08-26T20:54:38.1593671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-26T20:54:38.1593735Z     outputs = self.bert(
2025-08-26T20:54:38.1593983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-26T20:54:38.1594056Z     encoder_outputs = self.encoder(
2025-08-26T20:54:38.1594314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-26T20:54:38.1594386Z     layer_outputs = layer_module(
2025-08-26T20:54:38.1594601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:54:38.1594686Z     return super().__call__(*args, **kwargs)
2025-08-26T20:54:38.1594929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-26T20:54:38.1595033Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:54:38.1595290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:54:38.1595366Z     return forward_fn(*input_tensors)
2025-08-26T20:54:38.1595650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 623, in feed_forward_chunk
2025-08-26T20:54:38.1595785Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:54:38.1596036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 552, in forward
2025-08-26T20:54:38.1596118Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1596136Z 
2025-08-26T20:54:38.1596245Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1596443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1596514Z     return mod(**inputs)
2025-08-26T20:54:38.1596783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:54:38.1596888Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:54:38.1597156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:54:38.1597271Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:54:38.1597520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 769, in forward
2025-08-26T20:54:38.1597619Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:54:38.1597867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 745, in forward
2025-08-26T20:54:38.1597953Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:54:38.1597958Z 
2025-08-26T20:54:38.1598062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:54:38.1598263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:54:38.1598328Z     return mod(**inputs)
2025-08-26T20:54:38.1598598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-26T20:54:38.1598694Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:54:38.1598933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-26T20:54:38.1599048Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:54:38.1599285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-26T20:54:38.1599375Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:54:38.1599380Z 
2025-08-26T20:54:49.4414754Z Compilation time (from dynamo_timed): 20.763595232
2025-08-26T20:54:49.4534948Z pass
2025-08-26T20:54:49.4535474Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:54:49.4536413Z TIMING: _recursive_pre_grad_passes:0.00981 _recursive_joint_graph_passes:0.91203 _recursive_post_grad_passes:0.11204 async_compile.wait:0.7301 code_gen:8.82103 inductor_compile:10.70297 backend_compile:15.69942 gc:0.00053 entire_frame_compile:20.7636 total_wall_time:20.7636
2025-08-26T20:54:49.4538655Z STATS: call_* op count: 550 | FakeTensorMode.__torch_dispatch__:23250 | FakeTensor.__torch_dispatch__:8193 | ProxyTorchDispatchMode.__torch_dispatch__:8593
2025-08-26T20:54:49.4539185Z Dynamo produced 1 graphs covering 550 ops with 0 graph breaks (0 unique)
2025-08-26T20:54:53.7004002Z 
2025-08-26T20:54:54.9758199Z 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.
2025-08-26T20:54:54.9761466Z   - 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
2025-08-26T20:54:54.9766722Z   - 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).
2025-08-26T20:54:54.9768056Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-26T20:54:54.9769573Z 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.
2025-08-26T20:54:54.9770764Z   - 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
2025-08-26T20:54:54.9771529Z   - 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).
2025-08-26T20:54:54.9772128Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-26T20:54:56.4195929Z Input ids are automatically padded from 819 to 832 to be a multiple of `config.block_size`: 64
2025-08-26T20:54:56.4198457Z 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
2025-08-26T20:54:57.6841958Z 
2025-08-26T20:54:57.6844802Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:54:57.6853121Z cpu  eval  hf_BigBird                         
2025-08-26T20:55:00.6765883Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:02.0973226Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:03.5240234Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:05.4741166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:05.4742546Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1897, in forward
2025-08-26T20:55:05.4743199Z     attention_mask = torch.ones(((batch_size, seq_length + past_key_values_length)), device=device)
2025-08-26T20:55:05.4748723Z 
2025-08-26T20:55:11.6640663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:11.6641598Z    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
2025-08-26T20:55:11.6642249Z     input_ids = nn.functional.pad(input_ids, (0, padding_len), value=pad_token_id)
2025-08-26T20:55:11.6642731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:55:11.6643487Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:55:11.6643670Z 
2025-08-26T20:55:11.6643793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:11.6644365Z    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
2025-08-26T20:55:11.6644913Z     attention_mask = nn.functional.pad(
2025-08-26T20:55:11.6645355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:55:11.6645756Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:55:11.6645923Z 
2025-08-26T20:55:11.6646060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:11.6646609Z    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
2025-08-26T20:55:11.6647268Z     token_type_ids = nn.functional.pad(token_type_ids, (0, padding_len), value=0)  # pad with token_type_id = 0
2025-08-26T20:55:11.6647768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:55:11.6648209Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:55:11.6648373Z 
2025-08-26T20:55:12.8683019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:12.8687299Z    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
2025-08-26T20:55:12.8687873Z     embedding_output = self.embeddings(
2025-08-26T20:55:12.8688285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 292, in forward
2025-08-26T20:55:12.8688704Z     embeddings += position_embeddings
2025-08-26T20:55:12.8688840Z 
2025-08-26T20:55:12.8688927Z cudagraph partition due to non gpu ops
2025-08-26T20:55:12.8689155Z cudagraph partition due to non gpu ops
2025-08-26T20:55:12.8689361Z cudagraph partition due to non gpu ops
2025-08-26T20:55:12.8689598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:12.8690069Z    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
2025-08-26T20:55:12.8690619Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-26T20:55:12.8691160Z   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
2025-08-26T20:55:12.8691680Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-26T20:55:12.8692677Z   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
2025-08-26T20:55:12.8693182Z     exp_blocked_to_pad = torch.cat(
2025-08-26T20:55:12.8693321Z 
2025-08-26T20:55:12.8693445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:12.8693946Z    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
2025-08-26T20:55:12.8694508Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-26T20:55:12.8695065Z   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
2025-08-26T20:55:12.8695579Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-26T20:55:12.8696099Z   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
2025-08-26T20:55:12.8696722Z     band_mask = torch.einsum("blq,blk->blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad)
2025-08-26T20:55:12.8696957Z 
2025-08-26T20:55:15.0276368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:15.0278768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-26T20:55:15.0279422Z     self.query(hidden_states)
2025-08-26T20:55:15.0283830Z 
2025-08-26T20:55:15.0285932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:15.0286667Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-26T20:55:15.0287267Z     self.key(hidden_states)
2025-08-26T20:55:15.0287523Z 
2025-08-26T20:55:15.0287775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:15.0288290Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-26T20:55:15.0288767Z     self.value(hidden_states)
2025-08-26T20:55:15.0288910Z 
2025-08-26T20:55:15.2291614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:15.2292270Z    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
2025-08-26T20:55:15.2293258Z     plan_block_length = np.array(plan_from_length) // from_block_size
2025-08-26T20:55:15.2293464Z 
2025-08-26T20:55:18.6941566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6942466Z    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
2025-08-26T20:55:18.6943421Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-26T20:55:18.6944214Z   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
2025-08-26T20:55:18.6944816Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:55:18.6945077Z 
2025-08-26T20:55:18.6945218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6945838Z    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
2025-08-26T20:55:18.6946468Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-26T20:55:18.6947065Z   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
2025-08-26T20:55:18.6947956Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:55:18.6948214Z 
2025-08-26T20:55:18.6948340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6948954Z    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
2025-08-26T20:55:18.6949602Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-26T20:55:18.6950159Z   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
2025-08-26T20:55:18.6950709Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.6950969Z 
2025-08-26T20:55:18.6951061Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6951300Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6951532Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6951746Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6951968Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6952263Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6952506Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6952737Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6952963Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6953190Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6953421Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6953725Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6953946Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6954173Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6954408Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6954640Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6954896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6955497Z    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
2025-08-26T20:55:18.6956176Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-26T20:55:18.6956760Z   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
2025-08-26T20:55:18.6957382Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:55:18.6957602Z 
2025-08-26T20:55:18.6957685Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6957905Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6958148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6958688Z    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
2025-08-26T20:55:18.6959223Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-26T20:55:18.6959393Z 
2025-08-26T20:55:18.6959537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6960043Z    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
2025-08-26T20:55:18.6960592Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-26T20:55:18.6960783Z 
2025-08-26T20:55:18.6960861Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6961067Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6961291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6961834Z    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
2025-08-26T20:55:18.6962316Z     first_band_product = torch.einsum(
2025-08-26T20:55:18.6962451Z 
2025-08-26T20:55:18.6962530Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6962734Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6962930Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6963157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6963668Z    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
2025-08-26T20:55:18.6964156Z     last_band_product = torch.einsum(
2025-08-26T20:55:18.6964283Z 
2025-08-26T20:55:18.6964368Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6964566Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6964771Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6964976Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6965181Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6965378Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6965600Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6965828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6966330Z    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
2025-08-26T20:55:18.6966957Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-26T20:55:18.6980106Z   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
2025-08-26T20:55:18.6980939Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:55:18.6981186Z 
2025-08-26T20:55:18.6981300Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6981543Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6981811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6982398Z    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
2025-08-26T20:55:18.6983006Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-26T20:55:18.6983180Z 
2025-08-26T20:55:18.6983286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6983810Z    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
2025-08-26T20:55:18.6984354Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-26T20:55:18.6984540Z 
2025-08-26T20:55:18.6984628Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6984836Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6985073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6985588Z    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
2025-08-26T20:55:18.6986173Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-26T20:55:18.6986701Z   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
2025-08-26T20:55:18.6987198Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:55:18.6987417Z 
2025-08-26T20:55:18.6987522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6988097Z    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
2025-08-26T20:55:18.6988685Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-26T20:55:18.6989207Z   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
2025-08-26T20:55:18.6989709Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-26T20:55:18.6989914Z 
2025-08-26T20:55:18.6990017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6990529Z    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
2025-08-26T20:55:18.6991086Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-26T20:55:18.6991561Z   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
2025-08-26T20:55:18.6992090Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.6992320Z 
2025-08-26T20:55:18.6992421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6992930Z    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
2025-08-26T20:55:18.6993511Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-26T20:55:18.6994060Z   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
2025-08-26T20:55:18.6994478Z     return torch.bmm(
2025-08-26T20:55:18.6994581Z 
2025-08-26T20:55:18.6994703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6995201Z    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
2025-08-26T20:55:18.6995749Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-26T20:55:18.6996268Z   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
2025-08-26T20:55:18.6996767Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.6996992Z 
2025-08-26T20:55:18.6997092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6997588Z    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
2025-08-26T20:55:18.6998082Z     rand_attn = np.stack(rand_attn, axis=0)
2025-08-26T20:55:18.6998216Z 
2025-08-26T20:55:18.6998325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.6998821Z    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
2025-08-26T20:55:18.6999358Z     rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0)
2025-08-26T20:55:18.6999547Z 
2025-08-26T20:55:18.6999627Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.6999865Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7000379Z    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
2025-08-26T20:55:18.7000858Z     second_key_mat = torch.cat(
2025-08-26T20:55:18.7000988Z 
2025-08-26T20:55:18.7001088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7001615Z    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
2025-08-26T20:55:18.7002213Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-26T20:55:18.7002737Z   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
2025-08-26T20:55:18.7003142Z     return torch.bmm(
2025-08-26T20:55:18.7003245Z 
2025-08-26T20:55:18.7003343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7003839Z    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
2025-08-26T20:55:18.7004306Z     second_seq_pad = torch.cat(
2025-08-26T20:55:18.7004419Z 
2025-08-26T20:55:18.7004518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7005033Z    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
2025-08-26T20:55:18.7005521Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:55:18.7005961Z   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
2025-08-26T20:55:18.7006470Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7007498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:55:18.7007989Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7008207Z 
2025-08-26T20:55:18.7008312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7008830Z    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
2025-08-26T20:55:18.7009335Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:55:18.7009783Z   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
2025-08-26T20:55:18.7010360Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7010835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:55:18.7011300Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7011507Z 
2025-08-26T20:55:18.7011617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7012126Z    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
2025-08-26T20:55:18.7012686Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:55:18.7013147Z   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
2025-08-26T20:55:18.7013677Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7014173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:55:18.7014667Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7014893Z 
2025-08-26T20:55:18.7015006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7015630Z    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
2025-08-26T20:55:18.7016195Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:55:18.7016661Z   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
2025-08-26T20:55:18.7017193Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7017693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-26T20:55:18.7018182Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7018399Z 
2025-08-26T20:55:18.7018504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7019029Z    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
2025-08-26T20:55:18.7019606Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-26T20:55:18.7020065Z   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
2025-08-26T20:55:18.7020563Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-26T20:55:18.7020772Z 
2025-08-26T20:55:18.7020886Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.7021123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7021641Z    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
2025-08-26T20:55:18.7022139Z     second_rand_pad = torch.cat(
2025-08-26T20:55:18.7022262Z 
2025-08-26T20:55:18.7022364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7022880Z    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
2025-08-26T20:55:18.7023383Z     second_value_mat = torch.cat(
2025-08-26T20:55:18.7023528Z 
2025-08-26T20:55:18.7023642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7024162Z    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
2025-08-26T20:55:18.7024736Z     second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4)
2025-08-26T20:55:18.7025241Z   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
2025-08-26T20:55:18.7025736Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.7025966Z 
2025-08-26T20:55:18.7026068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7026574Z    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
2025-08-26T20:55:18.7027061Z     first_band_product = torch.einsum(
2025-08-26T20:55:18.7027190Z 
2025-08-26T20:55:18.7027290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7027796Z    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
2025-08-26T20:55:18.7028280Z     exp_blocked_key_matrix = torch.cat(
2025-08-26T20:55:18.7028411Z 
2025-08-26T20:55:18.7028519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7029045Z    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
2025-08-26T20:55:18.7029637Z     inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5)
2025-08-26T20:55:18.7030183Z   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
2025-08-26T20:55:18.7030604Z     return torch.bmm(
2025-08-26T20:55:18.7030705Z 
2025-08-26T20:55:18.7030817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7031336Z    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
2025-08-26T20:55:18.7031939Z     rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5)
2025-08-26T20:55:18.7032498Z   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
2025-08-26T20:55:18.7032928Z     return torch.bmm(
2025-08-26T20:55:18.7033031Z 
2025-08-26T20:55:18.7033143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7033675Z    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
2025-08-26T20:55:18.7034178Z     last_band_product = torch.einsum(
2025-08-26T20:55:18.7034336Z 
2025-08-26T20:55:18.7034438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7034956Z    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
2025-08-26T20:55:18.7035542Z     first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty
2025-08-26T20:55:18.7035756Z 
2025-08-26T20:55:18.7035868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7036389Z    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
2025-08-26T20:55:18.7036951Z     inner_band_product += (1.0 - band_mask) * attn_mask_penalty
2025-08-26T20:55:18.7037131Z 
2025-08-26T20:55:18.7037233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7037757Z    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
2025-08-26T20:55:18.7038305Z     rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty
2025-08-26T20:55:18.7038489Z 
2025-08-26T20:55:18.7038599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7039122Z    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
2025-08-26T20:55:18.7039698Z     last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty
2025-08-26T20:55:18.7039915Z 
2025-08-26T20:55:18.7040018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7040542Z    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
2025-08-26T20:55:18.7041040Z     band_product = torch.cat(
2025-08-26T20:55:18.7041160Z 
2025-08-26T20:55:18.7041271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7041801Z    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
2025-08-26T20:55:18.7042304Z     exp_blocked_value_matrix = torch.cat(
2025-08-26T20:55:18.7042444Z 
2025-08-26T20:55:18.7042546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7043053Z    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
2025-08-26T20:55:18.7043534Z     context_layer = self.torch_bmm_nd(
2025-08-26T20:55:18.7043924Z   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
2025-08-26T20:55:18.7044419Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.7044646Z 
2025-08-26T20:55:18.7044746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7045247Z    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
2025-08-26T20:55:18.7045746Z     context_layer += self.torch_bmm_nd(
2025-08-26T20:55:18.7046135Z   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
2025-08-26T20:55:18.7046621Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.7046847Z 
2025-08-26T20:55:18.7046944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7047462Z    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
2025-08-26T20:55:18.7047947Z     context_layer += torch.einsum(
2025-08-26T20:55:18.7048072Z 
2025-08-26T20:55:18.7048171Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7048686Z    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
2025-08-26T20:55:18.7049168Z     context_layer += torch.einsum(
2025-08-26T20:55:18.7049293Z 
2025-08-26T20:55:18.7049399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7049923Z    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
2025-08-26T20:55:18.7050411Z     second_last_key_mat = torch.cat(
2025-08-26T20:55:18.7050547Z 
2025-08-26T20:55:18.7050649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7051159Z    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
2025-08-26T20:55:18.7051780Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-26T20:55:18.7052352Z   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
2025-08-26T20:55:18.7052923Z     return torch.bmm(
2025-08-26T20:55:18.7053036Z 
2025-08-26T20:55:18.7053151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7053729Z    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
2025-08-26T20:55:18.7054253Z     second_last_seq_pad = torch.cat(
2025-08-26T20:55:18.7054384Z 
2025-08-26T20:55:18.7054475Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.7054715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7055255Z    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
2025-08-26T20:55:18.7055760Z     second_last_rand_pad = torch.cat(
2025-08-26T20:55:18.7055898Z 
2025-08-26T20:55:18.7056001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7056527Z    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
2025-08-26T20:55:18.7057025Z     second_last_value_mat = torch.cat(
2025-08-26T20:55:18.7057155Z 
2025-08-26T20:55:18.7057258Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7057778Z    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
2025-08-26T20:55:18.7058386Z     second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4)
2025-08-26T20:55:18.7058917Z   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
2025-08-26T20:55:18.7059439Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.7059673Z 
2025-08-26T20:55:18.7059775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7060315Z    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
2025-08-26T20:55:18.7060935Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-26T20:55:18.7061466Z   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
2025-08-26T20:55:18.7061885Z     return torch.bmm(
2025-08-26T20:55:18.7061983Z 
2025-08-26T20:55:18.7062086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7062605Z    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
2025-08-26T20:55:18.7063173Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-26T20:55:18.7064515Z   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
2025-08-26T20:55:18.7065030Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-26T20:55:18.7065258Z 
2025-08-26T20:55:18.7065349Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.7065562Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.7065803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7066329Z    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
2025-08-26T20:55:18.7066829Z     context_layer += torch.einsum(
2025-08-26T20:55:18.7066957Z 
2025-08-26T20:55:18.7067047Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.7067256Z cudagraph partition due to non gpu ops
2025-08-26T20:55:18.7067496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7068015Z    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
2025-08-26T20:55:18.7068508Z     context_layer = torch.cat(
2025-08-26T20:55:18.7068627Z 
2025-08-26T20:55:18.7068728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:18.7069265Z    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
2025-08-26T20:55:18.7069841Z     context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask
2025-08-26T20:55:18.7070060Z 
2025-08-26T20:55:23.8929926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:23.8930545Z    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
2025-08-26T20:55:23.8931148Z     context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1)
2025-08-26T20:55:23.8931388Z 
2025-08-26T20:55:24.6759500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:24.6760100Z    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
2025-08-26T20:55:24.6760647Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:55:24.6761127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1295, in forward
2025-08-26T20:55:24.6761858Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:24.6762005Z 
2025-08-26T20:55:25.6276027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:25.6281434Z    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
2025-08-26T20:55:25.6285842Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:25.6289997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:25.6290844Z     return forward_fn(*input_tensors)
2025-08-26T20:55:25.6291288Z   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
2025-08-26T20:55:25.6291777Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:25.6292240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1401, in forward
2025-08-26T20:55:25.6292865Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:25.6293085Z 
2025-08-26T20:55:25.6293249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:25.6294149Z    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
2025-08-26T20:55:25.6294876Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:25.6295314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:25.6295766Z     return forward_fn(*input_tensors)
2025-08-26T20:55:25.6296211Z   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
2025-08-26T20:55:25.6296707Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:55:25.6297149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-26T20:55:25.6297589Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:55:25.6297983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:55:25.6298445Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:55:25.6298680Z 
2025-08-26T20:55:25.6298797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:25.6299287Z    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
2025-08-26T20:55:25.6299836Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:55:25.6300255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:25.6300646Z     return forward_fn(*input_tensors)
2025-08-26T20:55:25.6301055Z   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
2025-08-26T20:55:25.6301526Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:55:25.6301984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1415, in forward
2025-08-26T20:55:25.6302398Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:25.6302533Z 
2025-08-26T20:55:33.4517692Z W0826 20:55:33.450431 20526 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8] torch._dynamo hit config.recompile_limit (8)
2025-08-26T20:55:33.4519134Z W0826 20:55:33.450431 20526 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)
2025-08-26T20:55:33.4522277Z W0826 20:55:33.450431 20526 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.)
2025-08-26T20:55:33.4524684Z W0826 20:55:33.450431 20526 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-26T20:55:33.4525888Z W0826 20:55:33.450431 20526 site-packages/torch/_dynamo/convert_frame.py:1347] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-26T20:55:33.8398819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:33.8399691Z    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
2025-08-26T20:55:33.8400670Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-26T20:55:33.8400960Z 
2025-08-26T20:55:33.8401074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:33.8401575Z    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
2025-08-26T20:55:33.8402164Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-26T20:55:33.8402430Z 
2025-08-26T20:55:34.1313513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:34.1318370Z    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
2025-08-26T20:55:34.1319044Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:55:34.1319610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-26T20:55:34.1320041Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:55:34.1320471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-26T20:55:34.1320872Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:55:34.1321295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-26T20:55:34.1321995Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:34.1322145Z 
2025-08-26T20:55:34.1322262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:34.1322731Z    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
2025-08-26T20:55:34.1323193Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:55:34.1323593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-26T20:55:34.1324009Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:55:34.1324418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-26T20:55:34.1324805Z     hidden_states = self.transform(hidden_states)
2025-08-26T20:55:34.1325198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-26T20:55:34.1325586Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:55:34.1325723Z 
2025-08-26T20:55:34.1325892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:34.1326363Z    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
2025-08-26T20:55:34.1326809Z     prediction_scores = self.cls(sequence_output)
2025-08-26T20:55:34.1327199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-26T20:55:34.1327668Z     prediction_scores = self.predictions(sequence_output)
2025-08-26T20:55:34.1328076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1671, in forward
2025-08-26T20:55:34.1328467Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:55:34.1328607Z 
2025-08-26T20:55:36.4695082Z Compilation time (from dynamo_timed): 29.724061681
2025-08-26T20:55:36.4892638Z pass
2025-08-26T20:55:36.4893107Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:36.4898390Z TIMING: gc:0.02428 entire_frame_compile:29.72406 _recursive_pre_grad_passes:0.02438 _recursive_joint_graph_passes:0.25423 _recursive_post_grad_passes:0.08376 async_compile.wait:5.60277 code_gen:17.18811 inductor_compile:18.19197 backend_compile:20.38046 total_wall_time:29.72406
2025-08-26T20:55:36.4899791Z STATS: call_* op count: 378 | FakeTensorMode.__torch_dispatch__:8868 | ProxyTorchDispatchMode.__torch_dispatch__:2451 | FakeTensor.__torch_dispatch__:2483
2025-08-26T20:55:36.4900306Z Dynamo produced 28 graphs covering 378 ops with 25 graph breaks (2 unique)
2025-08-26T20:55:40.8739487Z 
2025-08-26T20:55:41.5040392Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:55:41.5044482Z 
2025-08-26T20:55:41.5079301Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-08-26T20:55:41.5079592Z config.json: 100% 483/483 [00:00<00:00, 112kB/s]
2025-08-26T20:55:43.3250399Z 
2025-08-26T20:55:43.3254580Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:55:43.3260250Z cpu  eval  hf_DistilBert                      
2025-08-26T20:55:44.1496683Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:44.4996689Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:44.8421505Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:49.4050232Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4050517Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4050743Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4050955Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4051168Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4051709Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4051971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4052381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4052982Z     return mod(**inputs)
2025-08-26T20:55:49.4053436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4053928Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4054373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4054823Z     return self.transformer(
2025-08-26T20:55:49.4055228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4055651Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4056014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4056477Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4056927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4057426Z     sa_output = self.attention(
2025-08-26T20:55:49.4057825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:55:49.4058354Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:55:49.4058550Z 
2025-08-26T20:55:49.4058661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4059026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4059375Z     return mod(**inputs)
2025-08-26T20:55:49.4059779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4060216Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4060643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4061060Z     return self.transformer(
2025-08-26T20:55:49.4061546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4061952Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4062305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4062669Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4063122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4063562Z     sa_output = self.attention(
2025-08-26T20:55:49.4063981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:55:49.4064455Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4064639Z 
2025-08-26T20:55:49.4064757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4065140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4065637Z     return mod(**inputs)
2025-08-26T20:55:49.4066032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4066440Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4066872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4067308Z     return self.transformer(
2025-08-26T20:55:49.4067710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4068120Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4068474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4068839Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4069258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4069671Z     sa_output = self.attention(
2025-08-26T20:55:49.4070067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:55:49.4070531Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4070712Z 
2025-08-26T20:55:49.4070797Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4071044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4071425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4071753Z     return mod(**inputs)
2025-08-26T20:55:49.4072163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4072607Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4073041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4073515Z     return self.transformer(
2025-08-26T20:55:49.4073929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4074323Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4074671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4075031Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4075443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4075864Z     sa_output = self.attention(
2025-08-26T20:55:49.4076243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:55:49.4076699Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:49.4076889Z 
2025-08-26T20:55:49.4076991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4077339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4077647Z     return mod(**inputs)
2025-08-26T20:55:49.4078025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4078423Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4078819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4079217Z     return self.transformer(
2025-08-26T20:55:49.4079598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4080000Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4080342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4080697Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4081100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4081507Z     sa_output = self.attention(
2025-08-26T20:55:49.4081893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:55:49.4082298Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:55:49.4082433Z 
2025-08-26T20:55:49.4082545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4082893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4083201Z     return mod(**inputs)
2025-08-26T20:55:49.4083576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4083971Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4084362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4084750Z     return self.transformer(
2025-08-26T20:55:49.4085132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4085542Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4085881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4086234Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4086627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4087086Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4087522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4088049Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4088561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4088946Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4089352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:55:49.4089773Z     x = self.lin1(input)
2025-08-26T20:55:49.4089878Z 
2025-08-26T20:55:49.4089988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4090334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4090654Z     return mod(**inputs)
2025-08-26T20:55:49.4091029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4091428Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4091826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4092214Z     return self.transformer(
2025-08-26T20:55:49.4092663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4093082Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4093465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4093860Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4094283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4094741Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4095185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4095737Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4096267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4096648Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4097057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:55:49.4097457Z     x = self.activation(x)
2025-08-26T20:55:49.4097782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:49.4098113Z     return self.act(input)
2025-08-26T20:55:49.4098230Z 
2025-08-26T20:55:49.4098334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4098687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4099008Z     return mod(**inputs)
2025-08-26T20:55:49.4099406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4099799Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4100195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4100602Z     return self.transformer(
2025-08-26T20:55:49.4100998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4101438Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4101773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4102122Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4102527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4102959Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4103383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4103899Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4104420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4104811Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4105212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:55:49.4105616Z     x = self.lin2(x)
2025-08-26T20:55:49.4105728Z 
2025-08-26T20:55:49.4105832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4106187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4106757Z     return mod(**inputs)
2025-08-26T20:55:49.4107163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4107558Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4107957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4108354Z     return self.transformer(
2025-08-26T20:55:49.4108742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4109143Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4109477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4109918Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4110326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4110726Z     sa_output = self.attention(
2025-08-26T20:55:49.4111109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:55:49.4111559Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:55:49.4111744Z 
2025-08-26T20:55:49.4111847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4112200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4112516Z     return mod(**inputs)
2025-08-26T20:55:49.4112885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4113288Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4113718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4114121Z     return self.transformer(
2025-08-26T20:55:49.4114507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4114902Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4115246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4115634Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4116043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4116443Z     sa_output = self.attention(
2025-08-26T20:55:49.4116839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:55:49.4117290Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4117463Z 
2025-08-26T20:55:49.4117576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4117929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4118271Z     return mod(**inputs)
2025-08-26T20:55:49.4118651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4119045Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4119429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4119816Z     return self.transformer(
2025-08-26T20:55:49.4120189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4120573Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4120907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4121253Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4121641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4122029Z     sa_output = self.attention(
2025-08-26T20:55:49.4122405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:55:49.4122842Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4123012Z 
2025-08-26T20:55:49.4123101Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4123327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4123688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4123998Z     return mod(**inputs)
2025-08-26T20:55:49.4124369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4124769Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4125162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4125558Z     return self.transformer(
2025-08-26T20:55:49.4125939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4126331Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4126659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4127008Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4127422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4127809Z     sa_output = self.attention(
2025-08-26T20:55:49.4128181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:55:49.4128635Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:49.4128818Z 
2025-08-26T20:55:49.4128918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4129275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4129581Z     return mod(**inputs)
2025-08-26T20:55:49.4129945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4130327Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4130711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4131096Z     return self.transformer(
2025-08-26T20:55:49.4131466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4131871Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4132196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4132657Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4133114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4133565Z     sa_output = self.attention(
2025-08-26T20:55:49.4134017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:55:49.4134430Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:55:49.4134582Z 
2025-08-26T20:55:49.4134700Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4135091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4135464Z     return mod(**inputs)
2025-08-26T20:55:49.4135885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4136344Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4136788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4137236Z     return self.transformer(
2025-08-26T20:55:49.4137681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4138132Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4138509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4138899Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4139357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4139849Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4140324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4140841Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4141340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4141728Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4142141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:55:49.4142537Z     x = self.lin1(input)
2025-08-26T20:55:49.4142651Z 
2025-08-26T20:55:49.4142754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4143108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4143423Z     return mod(**inputs)
2025-08-26T20:55:49.4143811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4144210Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4144602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4144998Z     return self.transformer(
2025-08-26T20:55:49.4145376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4145771Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4146108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4146475Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4146874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4147298Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4147729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4148249Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4148742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4149131Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4149525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:55:49.4149924Z     x = self.activation(x)
2025-08-26T20:55:49.4150242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:49.4150575Z     return self.act(input)
2025-08-26T20:55:49.4150684Z 
2025-08-26T20:55:49.4150795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4151137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4151452Z     return mod(**inputs)
2025-08-26T20:55:49.4151838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4152240Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4152633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4153031Z     return self.transformer(
2025-08-26T20:55:49.4153420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4153814Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4154155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4154513Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4154905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4155327Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4155777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4156286Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4156770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4157151Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4157543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:55:49.4157948Z     x = self.lin2(x)
2025-08-26T20:55:49.4158044Z 
2025-08-26T20:55:49.4158150Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4158485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4158798Z     return mod(**inputs)
2025-08-26T20:55:49.4159166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4159556Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4159935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4161003Z     return self.transformer(
2025-08-26T20:55:49.4161385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4161777Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4162110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4162454Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4162849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4163239Z     sa_output = self.attention(
2025-08-26T20:55:49.4163618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:55:49.4164051Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:55:49.4164223Z 
2025-08-26T20:55:49.4164324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4164666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4164981Z     return mod(**inputs)
2025-08-26T20:55:49.4165368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4165751Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4166161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4166547Z     return self.transformer(
2025-08-26T20:55:49.4166921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4167305Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4167635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4167979Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4168370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4168757Z     sa_output = self.attention(
2025-08-26T20:55:49.4169135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:55:49.4169563Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4169737Z 
2025-08-26T20:55:49.4169838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4170194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4170503Z     return mod(**inputs)
2025-08-26T20:55:49.4170868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4171269Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4171662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4172085Z     return self.transformer(
2025-08-26T20:55:49.4172468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4172944Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4173304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4173673Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4174096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4174541Z     sa_output = self.attention(
2025-08-26T20:55:49.4174946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:55:49.4175406Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4175591Z 
2025-08-26T20:55:49.4175676Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4175921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4176277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4176597Z     return mod(**inputs)
2025-08-26T20:55:49.4176986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4177397Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4177803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4178205Z     return self.transformer(
2025-08-26T20:55:49.4178601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4179009Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4179355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4179720Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4180145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4180556Z     sa_output = self.attention(
2025-08-26T20:55:49.4180952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:55:49.4181419Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:49.4181605Z 
2025-08-26T20:55:49.4181717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4182068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4182392Z     return mod(**inputs)
2025-08-26T20:55:49.4182776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4183185Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4183586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4183995Z     return self.transformer(
2025-08-26T20:55:49.4184444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4184857Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4185202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4185559Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4185972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4186404Z     sa_output = self.attention(
2025-08-26T20:55:49.4186788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:55:49.4187195Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:55:49.4187330Z 
2025-08-26T20:55:49.4187433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4187786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4188103Z     return mod(**inputs)
2025-08-26T20:55:49.4188474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4188879Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4189271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4189667Z     return self.transformer(
2025-08-26T20:55:49.4190049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4190444Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4190778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4191129Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4191529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4191958Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4192390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4192911Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4193396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4193771Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4194181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:55:49.4194568Z     x = self.lin1(input)
2025-08-26T20:55:49.4194671Z 
2025-08-26T20:55:49.4194772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4195114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4195434Z     return mod(**inputs)
2025-08-26T20:55:49.4195821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4196225Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4196635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4197080Z     return self.transformer(
2025-08-26T20:55:49.4197512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4197966Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4198359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4198761Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4199221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4199712Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4200204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4200799Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4201355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4201788Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4202241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:55:49.4202699Z     x = self.activation(x)
2025-08-26T20:55:49.4203046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:49.4203439Z     return self.act(input)
2025-08-26T20:55:49.4203560Z 
2025-08-26T20:55:49.4203681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4204080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4204427Z     return mod(**inputs)
2025-08-26T20:55:49.4204848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4205297Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4205749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4206192Z     return self.transformer(
2025-08-26T20:55:49.4206755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4207218Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4207602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4208013Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4208432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4208929Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4209487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4210084Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4210646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4211073Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4211524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:55:49.4211969Z     x = self.lin2(x)
2025-08-26T20:55:49.4212079Z 
2025-08-26T20:55:49.4212201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4212651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4213032Z     return mod(**inputs)
2025-08-26T20:55:49.4213464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4213914Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4214394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4214846Z     return self.transformer(
2025-08-26T20:55:49.4215274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4215714Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4216127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4216521Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4216965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4217398Z     sa_output = self.attention(
2025-08-26T20:55:49.4217798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:55:49.4218261Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:55:49.4218442Z 
2025-08-26T20:55:49.4218554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4218926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4219252Z     return mod(**inputs)
2025-08-26T20:55:49.4219638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4220049Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4220453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4220852Z     return self.transformer(
2025-08-26T20:55:49.4221248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4221657Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4222004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4222361Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4222772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4223184Z     sa_output = self.attention(
2025-08-26T20:55:49.4223581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:55:49.4224035Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4224210Z 
2025-08-26T20:55:49.4224334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4224691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4225017Z     return mod(**inputs)
2025-08-26T20:55:49.4225399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4225817Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4226213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4226622Z     return self.transformer(
2025-08-26T20:55:49.4227018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4227424Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4227766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4228124Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4228554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4228965Z     sa_output = self.attention(
2025-08-26T20:55:49.4229368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:55:49.4229819Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4230004Z 
2025-08-26T20:55:49.4230108Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4230353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4230710Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4231032Z     return mod(**inputs)
2025-08-26T20:55:49.4231414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4231825Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4232232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4232648Z     return self.transformer(
2025-08-26T20:55:49.4233040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4233430Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4233766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4234113Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4234510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4234894Z     sa_output = self.attention(
2025-08-26T20:55:49.4235275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:55:49.4235726Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:49.4235901Z 
2025-08-26T20:55:49.4236009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4236355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4236655Z     return mod(**inputs)
2025-08-26T20:55:49.4237026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4237423Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4237813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4238202Z     return self.transformer(
2025-08-26T20:55:49.4238619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4239007Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4239339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4239688Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4240074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4240461Z     sa_output = self.attention(
2025-08-26T20:55:49.4240835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:55:49.4241232Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:55:49.4241362Z 
2025-08-26T20:55:49.4241472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4241808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4242118Z     return mod(**inputs)
2025-08-26T20:55:49.4242501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4242894Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4243285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4243672Z     return self.transformer(
2025-08-26T20:55:49.4244061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4244443Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4244768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4245102Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4245491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4245910Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4246327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4246845Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4247325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4247705Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4248097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:55:49.4248486Z     x = self.lin1(input)
2025-08-26T20:55:49.4248587Z 
2025-08-26T20:55:49.4248695Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4249030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4249341Z     return mod(**inputs)
2025-08-26T20:55:49.4249707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4250099Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4250479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4250868Z     return self.transformer(
2025-08-26T20:55:49.4251242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4251631Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4251978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4252320Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4252831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4253329Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4253818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4254380Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4254885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4255289Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4255705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:55:49.4256118Z     x = self.activation(x)
2025-08-26T20:55:49.4256470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:49.4256810Z     return self.act(input)
2025-08-26T20:55:49.4256931Z 
2025-08-26T20:55:49.4257037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4257399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4257741Z     return mod(**inputs)
2025-08-26T20:55:49.4258122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4258538Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4258950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4259361Z     return self.transformer(
2025-08-26T20:55:49.4259760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4260163Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4260515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4260906Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4261320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4261764Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4262199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4262729Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4263239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4263636Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4264041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:55:49.4264437Z     x = self.lin2(x)
2025-08-26T20:55:49.4264546Z 
2025-08-26T20:55:49.4264651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4265009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4265336Z     return mod(**inputs)
2025-08-26T20:55:49.4265713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4266126Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4266546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4266956Z     return self.transformer(
2025-08-26T20:55:49.4267346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4267746Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4268097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4268463Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4268877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4269286Z     sa_output = self.attention(
2025-08-26T20:55:49.4269681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:55:49.4270150Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:55:49.4270327Z 
2025-08-26T20:55:49.4270445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4270787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4271090Z     return mod(**inputs)
2025-08-26T20:55:49.4271461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4271869Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4272255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4272650Z     return self.transformer(
2025-08-26T20:55:49.4273019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4273412Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4273742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4274087Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4274481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4274886Z     sa_output = self.attention(
2025-08-26T20:55:49.4275265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:55:49.4275696Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4275861Z 
2025-08-26T20:55:49.4275967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4276305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4276606Z     return mod(**inputs)
2025-08-26T20:55:49.4276978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4277371Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4277758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4278139Z     return self.transformer(
2025-08-26T20:55:49.4278515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4278906Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4279236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4279579Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4279981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4280372Z     sa_output = self.attention(
2025-08-26T20:55:49.4280748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:55:49.4281181Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4281352Z 
2025-08-26T20:55:49.4281438Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4281729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4282071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4282371Z     return mod(**inputs)
2025-08-26T20:55:49.4282739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4283129Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4283519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4283929Z     return self.transformer(
2025-08-26T20:55:49.4284303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4284698Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4285030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4285391Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4285779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4286170Z     sa_output = self.attention(
2025-08-26T20:55:49.4286546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:55:49.4286993Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:49.4287168Z 
2025-08-26T20:55:49.4287277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4287610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4287936Z     return mod(**inputs)
2025-08-26T20:55:49.4288302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4288692Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4289085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4289464Z     return self.transformer(
2025-08-26T20:55:49.4289838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4290224Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4290558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4290893Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4291284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4291671Z     sa_output = self.attention(
2025-08-26T20:55:49.4292046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:55:49.4292441Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:55:49.4292646Z 
2025-08-26T20:55:49.4292752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4293139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4293515Z     return mod(**inputs)
2025-08-26T20:55:49.4293940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4294391Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4294804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4295227Z     return self.transformer(
2025-08-26T20:55:49.4295630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4296077Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4296444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4296844Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4297298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4297788Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4298292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4298875Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4299451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4299899Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4300356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:55:49.4300807Z     x = self.lin1(input)
2025-08-26T20:55:49.4300922Z 
2025-08-26T20:55:49.4301037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4301449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4301812Z     return mod(**inputs)
2025-08-26T20:55:49.4302235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4302696Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4303160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4303611Z     return self.transformer(
2025-08-26T20:55:49.4304048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4304496Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4304868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4305269Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4305726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4306183Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4306775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4307335Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4307867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4308281Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4308713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:55:49.4309185Z     x = self.activation(x)
2025-08-26T20:55:49.4309519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:49.4309867Z     return self.act(input)
2025-08-26T20:55:49.4309988Z 
2025-08-26T20:55:49.4310097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4310464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4310797Z     return mod(**inputs)
2025-08-26T20:55:49.4311188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4311612Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4312037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4312457Z     return self.transformer(
2025-08-26T20:55:49.4312858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4313277Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4313668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4314046Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4314477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4314935Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4315434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4315996Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4316486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4316864Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4317251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:55:49.4317638Z     x = self.lin2(x)
2025-08-26T20:55:49.4317767Z 
2025-08-26T20:55:49.4317866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4318206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4318511Z     return mod(**inputs)
2025-08-26T20:55:49.4318871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4319259Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4319646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4320032Z     return self.transformer(
2025-08-26T20:55:49.4320403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4320792Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4321122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4321468Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4321863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4322242Z     sa_output = self.attention(
2025-08-26T20:55:49.4322618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 390, in forward
2025-08-26T20:55:49.4323054Z     q = shape(self.q_lin(query))  # (bs, n_heads, q_length, dim_per_head)
2025-08-26T20:55:49.4323247Z 
2025-08-26T20:55:49.4323358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4323702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4324001Z     return mod(**inputs)
2025-08-26T20:55:49.4324370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4324762Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4325147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4325527Z     return self.transformer(
2025-08-26T20:55:49.4325903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4326289Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4326620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4326964Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4327364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4327754Z     sa_output = self.attention(
2025-08-26T20:55:49.4328129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 391, in forward
2025-08-26T20:55:49.4328560Z     k = shape(self.k_lin(key))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4328743Z 
2025-08-26T20:55:49.4328853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4329191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4329500Z     return mod(**inputs)
2025-08-26T20:55:49.4329871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4330267Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4330650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4331041Z     return self.transformer(
2025-08-26T20:55:49.4331436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4331828Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4332160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4332557Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4332971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4333402Z     sa_output = self.attention(
2025-08-26T20:55:49.4333830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 392, in forward
2025-08-26T20:55:49.4334322Z     v = shape(self.v_lin(value))  # (bs, n_heads, k_length, dim_per_head)
2025-08-26T20:55:49.4334525Z 
2025-08-26T20:55:49.4334609Z cudagraph partition due to non gpu ops
2025-08-26T20:55:49.4334854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4335215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4335533Z     return mod(**inputs)
2025-08-26T20:55:49.4335896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4336296Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4336709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4337105Z     return self.transformer(
2025-08-26T20:55:49.4337487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4337877Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4338218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4338571Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4338974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4339377Z     sa_output = self.attention(
2025-08-26T20:55:49.4339768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-26T20:55:49.4340238Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:55:49.4340431Z 
2025-08-26T20:55:49.4340536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4340914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4341240Z     return mod(**inputs)
2025-08-26T20:55:49.4341626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4342046Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4342461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4342892Z     return self.transformer(
2025-08-26T20:55:49.4343280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4343695Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4344044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4344409Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4344822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-26T20:55:49.4345222Z     sa_output = self.attention(
2025-08-26T20:55:49.4345642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 412, in forward
2025-08-26T20:55:49.4346062Z     attn_output = self.out_lin(attn_output)
2025-08-26T20:55:49.4346201Z 
2025-08-26T20:55:49.4346315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4346675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4346999Z     return mod(**inputs)
2025-08-26T20:55:49.4347377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4347779Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4348172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4348562Z     return self.transformer(
2025-08-26T20:55:49.4348947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4349344Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4349685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4350039Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4350435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4350889Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4351325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4351841Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4352334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4352718Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4353107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 431, in ff_chunk
2025-08-26T20:55:49.4353491Z     x = self.lin1(input)
2025-08-26T20:55:49.4353592Z 
2025-08-26T20:55:49.4353699Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4354044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4354357Z     return mod(**inputs)
2025-08-26T20:55:49.4354777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4355211Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4355622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4356029Z     return self.transformer(
2025-08-26T20:55:49.4356432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4356860Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4357208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4357583Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4357997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4358445Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4358889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4359419Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4359941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4360321Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4360743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-26T20:55:49.4361150Z     x = self.activation(x)
2025-08-26T20:55:49.4361465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:55:49.4361780Z     return self.act(input)
2025-08-26T20:55:49.4361895Z 
2025-08-26T20:55:49.4361996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4362333Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4362643Z     return mod(**inputs)
2025-08-26T20:55:49.4363012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-26T20:55:49.4363396Z     dlbrt_output = self.distilbert(
2025-08-26T20:55:49.4363787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-26T20:55:49.4364176Z     return self.transformer(
2025-08-26T20:55:49.4364553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-26T20:55:49.4364957Z     layer_outputs = layer_module(
2025-08-26T20:55:49.4365286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:55:49.4365631Z     return super().__call__(*args, **kwargs)
2025-08-26T20:55:49.4366025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-26T20:55:49.4366450Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4366863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-26T20:55:49.4367372Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-26T20:55:49.4367862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:55:49.4368240Z     return forward_fn(*input_tensors)
2025-08-26T20:55:49.4368633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 433, in ff_chunk
2025-08-26T20:55:49.4369035Z     x = self.lin2(x)
2025-08-26T20:55:49.4369143Z 
2025-08-26T20:55:49.4369244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4369582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4369890Z     return mod(**inputs)
2025-08-26T20:55:49.4370256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 836, in forward
2025-08-26T20:55:49.4370734Z     prediction_logits = self.vocab_transform(hidden_states)  # (bs, seq_length, dim)
2025-08-26T20:55:49.4370945Z 
2025-08-26T20:55:49.4371044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:55:49.4371384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:55:49.4371690Z     return mod(**inputs)
2025-08-26T20:55:49.4372060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 839, in forward
2025-08-26T20:55:49.4372666Z     prediction_logits = self.vocab_projector(prediction_logits)  # (bs, seq_length, vocab_size)
2025-08-26T20:55:49.4372942Z 
2025-08-26T20:55:56.7892858Z Compilation time (from dynamo_timed): 10.315572904
2025-08-26T20:55:56.8157686Z pass
2025-08-26T20:55:56.8158131Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:55:56.8158902Z TIMING: _recursive_pre_grad_passes:0.00605 _recursive_joint_graph_passes:0.23629 _recursive_post_grad_passes:0.04032 async_compile.wait:0.627 code_gen:6.5924 inductor_compile:7.44001 backend_compile:9.01887 gc:0.00179 entire_frame_compile:10.31557 total_wall_time:10.31557
2025-08-26T20:55:56.8159769Z STATS: call_* op count: 150 | FakeTensorMode.__torch_dispatch__:6470 | FakeTensor.__torch_dispatch__:2232 | ProxyTorchDispatchMode.__torch_dispatch__:2293
2025-08-26T20:55:56.8160236Z Dynamo produced 1 graphs covering 150 ops with 0 graph breaks (0 unique)
2025-08-26T20:56:00.9797980Z 
2025-08-26T20:56:01.6111741Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:56:01.6117279Z 
2025-08-26T20:56:01.6151212Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2025-08-26T20:56:01.6151692Z config.json: 100% 665/665 [00:00<00:00, 155kB/s]
2025-08-26T20:56:05.1273769Z 
2025-08-26T20:56:05.1279079Z loading model: 0it [00:04, ?it/s]
2025-08-26T20:56:05.1283382Z cpu  eval  hf_GPT2                            
2025-08-26T20:56:05.6819223Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:05.9061902Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:06.1496316Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:12.7512089Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7512487Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7520079Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7523975Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7525846Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7526084Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7526352Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7526564Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7526768Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7526987Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7527196Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7527408Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7527657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7528066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7528430Z     return mod(**inputs)
2025-08-26T20:56:12.7529038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7529501Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7529954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7530406Z     outputs = block(
2025-08-26T20:56:12.7530789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7531283Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7531711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7532125Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7532722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7533204Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7533641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7534054Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7534487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7535055Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7535540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7535985Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7536186Z 
2025-08-26T20:56:12.7536278Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7536516Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7536750Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7536980Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7537242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7537679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7538043Z     return mod(**inputs)
2025-08-26T20:56:12.7538447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7538927Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7539416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7539959Z     outputs = block(
2025-08-26T20:56:12.7540327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7540765Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7541207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7541622Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7542021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7542466Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7542903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7543318Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7543727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7544380Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7544871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7545390Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7545589Z 
2025-08-26T20:56:12.7545780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7546179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7546547Z     return mod(**inputs)
2025-08-26T20:56:12.7546945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7547410Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7547841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7548249Z     outputs = block(
2025-08-26T20:56:12.7548602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7549006Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7549419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7549829Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7550231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7550696Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7551119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7551533Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7551937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7552390Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7552863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7553338Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7553509Z 
2025-08-26T20:56:12.7553629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7554015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7554380Z     return mod(**inputs)
2025-08-26T20:56:12.7554755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7555172Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7555573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7555949Z     outputs = block(
2025-08-26T20:56:12.7556315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7556714Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7557124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7557523Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7557975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7558418Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7558828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7559228Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7559608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7560008Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7560376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7560832Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7561013Z 
2025-08-26T20:56:12.7561134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7561507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7561853Z     return mod(**inputs)
2025-08-26T20:56:12.7562228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7562653Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7563042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7563421Z     outputs = block(
2025-08-26T20:56:12.7563756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7564126Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7564514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7564885Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7565262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7565702Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7566120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7566519Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7566882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7567285Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7567473Z 
2025-08-26T20:56:12.7567584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7567954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7568285Z     return mod(**inputs)
2025-08-26T20:56:12.7568653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7569060Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7569463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7569848Z     outputs = block(
2025-08-26T20:56:12.7570188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7570583Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7571006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7571392Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7571773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7572221Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7572736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7573160Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7573546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7574032Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7574271Z 
2025-08-26T20:56:12.7574377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7574744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7575075Z     return mod(**inputs)
2025-08-26T20:56:12.7575458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7575848Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7576242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7576610Z     outputs = block(
2025-08-26T20:56:12.7576936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7577312Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7577683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7578052Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7578422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7578831Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7579227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7579639Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7580003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7580400Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7580573Z 
2025-08-26T20:56:12.7580685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7581035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7581357Z     return mod(**inputs)
2025-08-26T20:56:12.7581715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7582103Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7582488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7582846Z     outputs = block(
2025-08-26T20:56:12.7583167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7583523Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7583899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7584262Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7584627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:56:12.7585057Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:56:12.7585217Z 
2025-08-26T20:56:12.7585331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7585693Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7586010Z     return mod(**inputs)
2025-08-26T20:56:12.7586367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7586761Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7587150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7587515Z     outputs = block(
2025-08-26T20:56:12.7587838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7588200Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7588589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7588966Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7589350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7589748Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7590148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7590511Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7590886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7591361Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7591809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7592202Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7592370Z 
2025-08-26T20:56:12.7592462Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7592669Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7592881Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7593087Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7593339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7593698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7594025Z     return mod(**inputs)
2025-08-26T20:56:12.7594388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7594786Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7595178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7595542Z     outputs = block(
2025-08-26T20:56:12.7595869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7596231Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7596610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7596981Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7597345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7597741Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7598138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7598581Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7599027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7599477Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7599977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7600503Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7600713Z 
2025-08-26T20:56:12.7600835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7601235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7601606Z     return mod(**inputs)
2025-08-26T20:56:12.7601995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7602449Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7602885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7603290Z     outputs = block(
2025-08-26T20:56:12.7603658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7604065Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7604483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7604891Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7605302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7605758Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7606189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7606968Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7607368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7607818Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7608300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7608806Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7609035Z 
2025-08-26T20:56:12.7609175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7609557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7609934Z     return mod(**inputs)
2025-08-26T20:56:12.7610327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7610757Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7611182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7611595Z     outputs = block(
2025-08-26T20:56:12.7611959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7612365Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7612875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7613283Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7613683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7614109Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7614531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7614951Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7615376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7615808Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7616199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7616641Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7616831Z 
2025-08-26T20:56:12.7616948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7617339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7617697Z     return mod(**inputs)
2025-08-26T20:56:12.7618093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7618524Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7618942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7619346Z     outputs = block(
2025-08-26T20:56:12.7619739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7620144Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7620533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7620918Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7621298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7621747Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7622167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7622563Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7622935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7623351Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7623526Z 
2025-08-26T20:56:12.7623645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7624040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7624369Z     return mod(**inputs)
2025-08-26T20:56:12.7624741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7625152Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7625554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7625930Z     outputs = block(
2025-08-26T20:56:12.7626264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7626636Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7627026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7627410Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7627785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7628206Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7628625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7629025Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7629384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7629861Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7630106Z 
2025-08-26T20:56:12.7630229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7630577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7630893Z     return mod(**inputs)
2025-08-26T20:56:12.7631240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7631626Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7632003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7632360Z     outputs = block(
2025-08-26T20:56:12.7632673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7633017Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7633386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7633765Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7634131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7634534Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7634928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7635327Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7635678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7636063Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7636232Z 
2025-08-26T20:56:12.7636341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7636685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7637010Z     return mod(**inputs)
2025-08-26T20:56:12.7637365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7637769Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7638139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7638499Z     outputs = block(
2025-08-26T20:56:12.7638814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7639165Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7639531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7639889Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7640252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7640649Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7641038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7641405Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7641772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7642264Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7642723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7643115Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7643335Z 
2025-08-26T20:56:12.7643419Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7643636Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7643848Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7644060Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7644287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7644648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7644972Z     return mod(**inputs)
2025-08-26T20:56:12.7645340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7645745Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7646137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7646518Z     outputs = block(
2025-08-26T20:56:12.7646849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7647221Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7647622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7648008Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7648387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7648793Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7649212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7649586Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7649965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7650411Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7650894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7651411Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7651619Z 
2025-08-26T20:56:12.7651732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7652184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7652624Z     return mod(**inputs)
2025-08-26T20:56:12.7653029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7653461Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7653880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7654283Z     outputs = block(
2025-08-26T20:56:12.7654640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7655044Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7655426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7655812Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7656196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7656603Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7657005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7657380Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7657755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7658193Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7658650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7659134Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7659319Z 
2025-08-26T20:56:12.7659445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7659811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7660145Z     return mod(**inputs)
2025-08-26T20:56:12.7660513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7660909Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7661307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7661687Z     outputs = block(
2025-08-26T20:56:12.7662020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7662408Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7662793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7663179Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7663557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7663984Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7664371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7664754Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7665134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7665530Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7665898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7666298Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7666482Z 
2025-08-26T20:56:12.7666614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7666981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7667312Z     return mod(**inputs)
2025-08-26T20:56:12.7667681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7668075Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7668472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7668854Z     outputs = block(
2025-08-26T20:56:12.7669190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7669551Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7669942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7670322Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7670707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7671099Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7671484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7671858Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7672220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7672614Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7672785Z 
2025-08-26T20:56:12.7672894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7673238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7673562Z     return mod(**inputs)
2025-08-26T20:56:12.7673916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7674303Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7674680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7675040Z     outputs = block(
2025-08-26T20:56:12.7675359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7675719Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7676110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7676469Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7676831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7677228Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7677622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7678015Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7678361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7678804Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7679044Z 
2025-08-26T20:56:12.7679158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7679521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7679846Z     return mod(**inputs)
2025-08-26T20:56:12.7680213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7680626Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7681013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7681393Z     outputs = block(
2025-08-26T20:56:12.7681701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7682055Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7682423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7682786Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7683137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7683532Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7683926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7684305Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7684664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7685042Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7685216Z 
2025-08-26T20:56:12.7685318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7685687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7686014Z     return mod(**inputs)
2025-08-26T20:56:12.7686370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7686753Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7687137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7687510Z     outputs = block(
2025-08-26T20:56:12.7687839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7688213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7688589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7688960Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7689331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:56:12.7689744Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:56:12.7689919Z 
2025-08-26T20:56:12.7690027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7690387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7690713Z     return mod(**inputs)
2025-08-26T20:56:12.7691073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7691491Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7691874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7692245Z     outputs = block(
2025-08-26T20:56:12.7692643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7693025Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7693435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7693843Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7694256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7694687Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7695090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7695477Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7695850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7696348Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7696821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7697222Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7697395Z 
2025-08-26T20:56:12.7697481Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7697703Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7697925Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7698136Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7698367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7698732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7699056Z     return mod(**inputs)
2025-08-26T20:56:12.7699418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7699825Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7700217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7700590Z     outputs = block(
2025-08-26T20:56:12.7700916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7701276Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7701650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7702024Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7702394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7702785Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7703169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7703535Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7703921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7704326Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7704769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7705247Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7705441Z 
2025-08-26T20:56:12.7705589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7705953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7706284Z     return mod(**inputs)
2025-08-26T20:56:12.7706832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7707232Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7707626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7708001Z     outputs = block(
2025-08-26T20:56:12.7708325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7708744Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7709106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7709470Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7709834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7710221Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7710592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7710959Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7711323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7711722Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7712160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7712600Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7712771Z 
2025-08-26T20:56:12.7712875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7713226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7713545Z     return mod(**inputs)
2025-08-26T20:56:12.7713965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7714353Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7714731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7715091Z     outputs = block(
2025-08-26T20:56:12.7715404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7715755Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7716123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7716485Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7716845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7717234Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7717604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7717966Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7718350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7718731Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7719075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7719467Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7719663Z 
2025-08-26T20:56:12.7719764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7720107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7720422Z     return mod(**inputs)
2025-08-26T20:56:12.7720766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7721138Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7721503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7721854Z     outputs = block(
2025-08-26T20:56:12.7722160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7722512Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7722871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7723224Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7723574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7723960Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7724352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7724722Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7725067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7725443Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7725607Z 
2025-08-26T20:56:12.7725708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7726051Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7726362Z     return mod(**inputs)
2025-08-26T20:56:12.7726709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7727085Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7727461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7727813Z     outputs = block(
2025-08-26T20:56:12.7728117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7728461Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7728815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7729171Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7729520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7729910Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7730296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7730660Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7730993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7731445Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7731664Z 
2025-08-26T20:56:12.7731773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7732121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7732426Z     return mod(**inputs)
2025-08-26T20:56:12.7732902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7733325Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7733718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7734124Z     outputs = block(
2025-08-26T20:56:12.7734489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7734866Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7735262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7735636Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7736020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7736426Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7736832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7737227Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7737581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7737983Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7738163Z 
2025-08-26T20:56:12.7738270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7738629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7738950Z     return mod(**inputs)
2025-08-26T20:56:12.7739301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7739694Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7740084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7740451Z     outputs = block(
2025-08-26T20:56:12.7740773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7741124Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7741519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7741896Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7742265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7742653Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7743043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7743410Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7743782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7744276Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7744729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7745128Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7745310Z 
2025-08-26T20:56:12.7745415Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7745643Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7745860Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7746075Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7746311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7746673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7747022Z     return mod(**inputs)
2025-08-26T20:56:12.7747379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7747781Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7748171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7748541Z     outputs = block(
2025-08-26T20:56:12.7748868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7749226Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7749610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7749979Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7750327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7750694Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7751060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7751409Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7751754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7752133Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7752546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7753002Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7753178Z 
2025-08-26T20:56:12.7753277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7753617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7753928Z     return mod(**inputs)
2025-08-26T20:56:12.7754269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7754650Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7755040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7755405Z     outputs = block(
2025-08-26T20:56:12.7755715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7756073Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7756446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7756812Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7757176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7757555Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7757937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7758307Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7758665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7759090Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7759530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7759965Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7760118Z 
2025-08-26T20:56:12.7760225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7760616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7760923Z     return mod(**inputs)
2025-08-26T20:56:12.7761270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7761646Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7762014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7762362Z     outputs = block(
2025-08-26T20:56:12.7762662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7763003Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7763385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7763735Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7764078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7764450Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7764814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7765165Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7765515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7765874Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7766213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7766590Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7766753Z 
2025-08-26T20:56:12.7766859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7767200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7767509Z     return mod(**inputs)
2025-08-26T20:56:12.7767860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7768238Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7768625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7768981Z     outputs = block(
2025-08-26T20:56:12.7769300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7769666Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7770047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7770463Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7770815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7771224Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7771635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7772017Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7772379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7772866Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7773049Z 
2025-08-26T20:56:12.7773158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7773528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7773857Z     return mod(**inputs)
2025-08-26T20:56:12.7774235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7774632Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7775025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7775388Z     outputs = block(
2025-08-26T20:56:12.7775701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7776051Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7776422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7776807Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7777171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7777569Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7777969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7778350Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7778696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7779139Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7779367Z 
2025-08-26T20:56:12.7779472Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7779827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7780150Z     return mod(**inputs)
2025-08-26T20:56:12.7780504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7780895Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7781270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7781639Z     outputs = block(
2025-08-26T20:56:12.7781961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7782335Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7782704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7783073Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7783433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7783835Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7784230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7784610Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7784966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7785354Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7785523Z 
2025-08-26T20:56:12.7785638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7786030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7786347Z     return mod(**inputs)
2025-08-26T20:56:12.7786697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7787084Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7787460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7787835Z     outputs = block(
2025-08-26T20:56:12.7788153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7788507Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7788881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7789245Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7789599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:56:12.7790002Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:56:12.7790164Z 
2025-08-26T20:56:12.7790287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7790634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7790952Z     return mod(**inputs)
2025-08-26T20:56:12.7791294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7791677Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7792054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7792416Z     outputs = block(
2025-08-26T20:56:12.7792726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7793085Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7793455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7793820Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7794178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7794555Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7794936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7795300Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7795670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7796139Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7796570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7796947Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7797122Z 
2025-08-26T20:56:12.7797201Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7797414Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7797612Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7797815Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7798040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7798381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7798684Z     return mod(**inputs)
2025-08-26T20:56:12.7799029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7799410Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7799804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7800174Z     outputs = block(
2025-08-26T20:56:12.7800490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7800851Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7801236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7801590Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7801946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7802323Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7802702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7803065Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7803422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7803831Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7804270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7804725Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7804895Z 
2025-08-26T20:56:12.7805001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7805343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7805648Z     return mod(**inputs)
2025-08-26T20:56:12.7805992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7806371Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7806915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7807280Z     outputs = block(
2025-08-26T20:56:12.7807582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7807930Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7808303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7808662Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7809011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7809458Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7809834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7810199Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7810561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7810953Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7811387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7811838Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7811999Z 
2025-08-26T20:56:12.7812123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7812476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7812840Z     return mod(**inputs)
2025-08-26T20:56:12.7813229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7813645Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7814065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7814465Z     outputs = block(
2025-08-26T20:56:12.7814824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7815225Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7815618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7815990Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7816352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7816750Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7817138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7817506Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7817865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7818279Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7818637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7819039Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7819212Z 
2025-08-26T20:56:12.7819325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7819671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7819998Z     return mod(**inputs)
2025-08-26T20:56:12.7820362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7820809Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7821194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7821560Z     outputs = block(
2025-08-26T20:56:12.7821881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7822247Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7822625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7822988Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7823375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7823782Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7824188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7824578Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7824916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7825308Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7825480Z 
2025-08-26T20:56:12.7825585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7825934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7826253Z     return mod(**inputs)
2025-08-26T20:56:12.7826593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7826975Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7827376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7827748Z     outputs = block(
2025-08-26T20:56:12.7828068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7828438Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7828820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7829214Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7829570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7829969Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7830373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7830756Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7831105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7831556Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7831817Z 
2025-08-26T20:56:12.7831924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7832285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7832614Z     return mod(**inputs)
2025-08-26T20:56:12.7832974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7833358Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7833746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7834116Z     outputs = block(
2025-08-26T20:56:12.7834438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7834798Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7835169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7835538Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7835908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7836314Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7836716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7837101Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7837487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7837887Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7838056Z 
2025-08-26T20:56:12.7838166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7838517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7838844Z     return mod(**inputs)
2025-08-26T20:56:12.7839201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7839596Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7839979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7840340Z     outputs = block(
2025-08-26T20:56:12.7840666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7841043Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7841431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7841792Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7842144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7842529Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7842925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7843291Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7843648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7844129Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7844574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7844959Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7845126Z 
2025-08-26T20:56:12.7845226Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7845447Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7845654Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7845854Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7846081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7846420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7846736Z     return mod(**inputs)
2025-08-26T20:56:12.7847086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7847473Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7847852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7848204Z     outputs = block(
2025-08-26T20:56:12.7848524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7848878Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7849243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7849601Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7849958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7850342Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7850735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7851097Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7851449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7851839Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7852273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7852830Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7853022Z 
2025-08-26T20:56:12.7853140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7853515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7853845Z     return mod(**inputs)
2025-08-26T20:56:12.7854216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7854628Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7855032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7855411Z     outputs = block(
2025-08-26T20:56:12.7855732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7856100Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7856483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7856872Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7857246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7857646Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7858039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7858412Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7858778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7859183Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7859657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7860115Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7860278Z 
2025-08-26T20:56:12.7860384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7860742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7861067Z     return mod(**inputs)
2025-08-26T20:56:12.7861428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7861819Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7862197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7862563Z     outputs = block(
2025-08-26T20:56:12.7862883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7863246Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7863618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7863988Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7864350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7864746Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7865154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7865522Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7865889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7866276Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7866636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7867033Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7867208Z 
2025-08-26T20:56:12.7867312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7867671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7867999Z     return mod(**inputs)
2025-08-26T20:56:12.7868361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7868747Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7869161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7869537Z     outputs = block(
2025-08-26T20:56:12.7869867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7870233Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7870606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7871000Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7871369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7871783Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7872193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7872579Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7872968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7873389Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7873560Z 
2025-08-26T20:56:12.7873673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7874026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7874356Z     return mod(**inputs)
2025-08-26T20:56:12.7874708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7875090Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7875467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7875822Z     outputs = block(
2025-08-26T20:56:12.7876138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7876493Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7876866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7877230Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7877583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7877981Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7878376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7878778Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7879113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7879555Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7879787Z 
2025-08-26T20:56:12.7879891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7880247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7880555Z     return mod(**inputs)
2025-08-26T20:56:12.7880891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7881312Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7881689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7882053Z     outputs = block(
2025-08-26T20:56:12.7882357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7882708Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7883070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7883423Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7883774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7884171Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7884558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7884935Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7885282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7885662Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7885824Z 
2025-08-26T20:56:12.7885926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7886270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7886596Z     return mod(**inputs)
2025-08-26T20:56:12.7886936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7887311Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7887673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7888024Z     outputs = block(
2025-08-26T20:56:12.7888332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7888685Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7889048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7889412Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7889769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:56:12.7890174Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:56:12.7890327Z 
2025-08-26T20:56:12.7890436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7890777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7891093Z     return mod(**inputs)
2025-08-26T20:56:12.7891445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7891834Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7892220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7892652Z     outputs = block(
2025-08-26T20:56:12.7892980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7893338Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7893750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7894151Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7894539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7894948Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7895361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7895738Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7896121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7896616Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7897078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7897481Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7897655Z 
2025-08-26T20:56:12.7897769Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7897982Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7898199Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7898411Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7898651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7899004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7899329Z     return mod(**inputs)
2025-08-26T20:56:12.7899690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7900089Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7900468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7900861Z     outputs = block(
2025-08-26T20:56:12.7901186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7901552Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7901934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7902289Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7902658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7903056Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7903444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7903815Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7904175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7904567Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7904999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7905465Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7905644Z 
2025-08-26T20:56:12.7905747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7906119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7906195Z     return mod(**inputs)
2025-08-26T20:56:12.7906445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7906683Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7906944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7907009Z     outputs = block(
2025-08-26T20:56:12.7907233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7907316Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7907561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7907632Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7907872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7908010Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7908246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7908324Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7908563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7908658Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7908981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7909090Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7909094Z 
2025-08-26T20:56:12.7909208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7909402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7909470Z     return mod(**inputs)
2025-08-26T20:56:12.7909723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7909807Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7910080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7910145Z     outputs = block(
2025-08-26T20:56:12.7910374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7910455Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7910689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7910769Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7911008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7911102Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7911336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7911406Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7911653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7911736Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7911955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7912073Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7912076Z 
2025-08-26T20:56:12.7912208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7912404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7912473Z     return mod(**inputs)
2025-08-26T20:56:12.7912725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7912807Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7913052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7913114Z     outputs = block(
2025-08-26T20:56:12.7913335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7913425Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7913670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7913748Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7914018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7914129Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7914384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7914468Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7914696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7914836Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7914840Z 
2025-08-26T20:56:12.7914954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7915156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7915225Z     return mod(**inputs)
2025-08-26T20:56:12.7915492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7915579Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7915849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7915975Z     outputs = block(
2025-08-26T20:56:12.7916212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7916317Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7916561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7916638Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7916887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7916996Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7917254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7917337Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7917558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7917744Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7917747Z 
2025-08-26T20:56:12.7917860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7918060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7918129Z     return mod(**inputs)
2025-08-26T20:56:12.7918404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7918491Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7918750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7918815Z     outputs = block(
2025-08-26T20:56:12.7919044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7919137Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7919386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7919468Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7919721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7919832Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7920084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7920176Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7920424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7920548Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7920553Z 
2025-08-26T20:56:12.7920668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7920867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7920952Z     return mod(**inputs)
2025-08-26T20:56:12.7921210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7921298Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7921559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7921624Z     outputs = block(
2025-08-26T20:56:12.7921850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7921940Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7922184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7922280Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7922531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7922630Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7922875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7922963Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7923220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7923416Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7923645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7923768Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7923771Z 
2025-08-26T20:56:12.7923858Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7923948Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7924032Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7924121Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7924227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7924428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7924505Z     return mod(**inputs)
2025-08-26T20:56:12.7924774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7924870Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7925122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7925197Z     outputs = block(
2025-08-26T20:56:12.7925424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7925508Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7925763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7925834Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7926093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7926184Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7926453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7926531Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7926766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7926870Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7927151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7927293Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7927305Z 
2025-08-26T20:56:12.7927405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7927602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7927675Z     return mod(**inputs)
2025-08-26T20:56:12.7927915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7928003Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7928237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7928315Z     outputs = block(
2025-08-26T20:56:12.7928535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7928613Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7928850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7928917Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7929150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7929246Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7929478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7929552Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7929785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7929882Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7930166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7930276Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7930280Z 
2025-08-26T20:56:12.7930387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7930590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7930666Z     return mod(**inputs)
2025-08-26T20:56:12.7930912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7930994Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7931244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7931308Z     outputs = block(
2025-08-26T20:56:12.7931533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7931612Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7931849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7931924Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7932167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7932266Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7932639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7932732Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7933003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7933095Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7933357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7933487Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7933491Z 
2025-08-26T20:56:12.7933613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7933832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7933898Z     return mod(**inputs)
2025-08-26T20:56:12.7934156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7934241Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7934490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7934576Z     outputs = block(
2025-08-26T20:56:12.7934795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7934884Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7935120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7935198Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7935437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7935551Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7935791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7935873Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7936094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7936211Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7936216Z 
2025-08-26T20:56:12.7936325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7936517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7936583Z     return mod(**inputs)
2025-08-26T20:56:12.7936851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7936938Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7937187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7937251Z     outputs = block(
2025-08-26T20:56:12.7937468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7937558Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7937794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7937877Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7938117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7938229Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7938472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7939243Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7939476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7939660Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7939666Z 
2025-08-26T20:56:12.7939780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7940002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7940070Z     return mod(**inputs)
2025-08-26T20:56:12.7940334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7940422Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7940681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7940747Z     outputs = block(
2025-08-26T20:56:12.7940980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7941062Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7941323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7941403Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7941652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7941776Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7942026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7942116Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7942337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7942456Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7942459Z 
2025-08-26T20:56:12.7942570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7942767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7942842Z     return mod(**inputs)
2025-08-26T20:56:12.7943094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7943180Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7943434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7943498Z     outputs = block(
2025-08-26T20:56:12.7943749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7943834Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7944076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7944156Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7944407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:56:12.7944524Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:56:12.7944529Z 
2025-08-26T20:56:12.7944636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7944835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7944911Z     return mod(**inputs)
2025-08-26T20:56:12.7945163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7945256Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7945522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7945596Z     outputs = block(
2025-08-26T20:56:12.7945821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7945905Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7946161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7946247Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7946508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7946601Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7946850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7946931Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7947185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7947384Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7947625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7947757Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7947761Z 
2025-08-26T20:56:12.7947846Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7947930Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7948019Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7948097Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7948326Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7948528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7948595Z     return mod(**inputs)
2025-08-26T20:56:12.7948860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7948949Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7949209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7949276Z     outputs = block(
2025-08-26T20:56:12.7949502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7949592Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7949852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7949934Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7950189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7950280Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7950536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7950608Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7950864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7950967Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7951268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7951404Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7951408Z 
2025-08-26T20:56:12.7951515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7951747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7951817Z     return mod(**inputs)
2025-08-26T20:56:12.7952081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7952169Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7952418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7952512Z     outputs = block(
2025-08-26T20:56:12.7952741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7952833Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7953078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7953157Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7953405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7953507Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7953762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7953830Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7954075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7954172Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7954447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7954563Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7954567Z 
2025-08-26T20:56:12.7954666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7954864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7967001Z     return mod(**inputs)
2025-08-26T20:56:12.7967390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7967516Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7967783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7967858Z     outputs = block(
2025-08-26T20:56:12.7968092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7968178Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7968536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7968621Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7968885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7968984Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7969230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7969310Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7969559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7969654Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7969873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7970006Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7970012Z 
2025-08-26T20:56:12.7970138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7970376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7970459Z     return mod(**inputs)
2025-08-26T20:56:12.7970713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7970807Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7971057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7971156Z     outputs = block(
2025-08-26T20:56:12.7971386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7971470Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7971716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7971793Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7972037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7972160Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7972436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7972612Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7972863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7973002Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7973008Z 
2025-08-26T20:56:12.7973135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7973355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7973439Z     return mod(**inputs)
2025-08-26T20:56:12.7973719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7973825Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7974093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7974172Z     outputs = block(
2025-08-26T20:56:12.7974402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7974485Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7974735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7974807Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7975068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7975188Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7975435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7975526Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7975739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7975932Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7975944Z 
2025-08-26T20:56:12.7976053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7976254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7976331Z     return mod(**inputs)
2025-08-26T20:56:12.7976586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7976700Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7976943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7977010Z     outputs = block(
2025-08-26T20:56:12.7977236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7977316Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7977578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7977650Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7977895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7978010Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7978254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7978354Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7978567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7978706Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7978717Z 
2025-08-26T20:56:12.7978824Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7979027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7979103Z     return mod(**inputs)
2025-08-26T20:56:12.7979351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7979445Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7979687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7979752Z     outputs = block(
2025-08-26T20:56:12.7979978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7980060Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7980303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7980375Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7980615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7980715Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7980971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7981051Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7981296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.7981494Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.7981711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7981831Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7981837Z 
2025-08-26T20:56:12.7981930Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7982013Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7982098Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7982178Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.7982284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7982491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7982560Z     return mod(**inputs)
2025-08-26T20:56:12.7982832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7982919Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7983165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7983244Z     outputs = block(
2025-08-26T20:56:12.7983480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7983561Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7983812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7983883Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7984140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7984233Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7984479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7984566Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7984808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7984921Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7985206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.7985348Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.7985352Z 
2025-08-26T20:56:12.7985458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7985653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7985730Z     return mod(**inputs)
2025-08-26T20:56:12.7985978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7986072Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7986314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7986381Z     outputs = block(
2025-08-26T20:56:12.7986607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7986687Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7986962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7987045Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7987300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7987388Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7987624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7987701Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7987945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.7988053Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.7988341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.7988457Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.7988460Z 
2025-08-26T20:56:12.7988574Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7988787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7988862Z     return mod(**inputs)
2025-08-26T20:56:12.7989114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7989208Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7989456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7989537Z     outputs = block(
2025-08-26T20:56:12.7989764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7989845Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7990092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7990163Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7990410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.7990509Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.7990748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7990849Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7991090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.7991175Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.7991398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7991517Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7991521Z 
2025-08-26T20:56:12.7991632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7991829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7991902Z     return mod(**inputs)
2025-08-26T20:56:12.7992144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7992230Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7992477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7992542Z     outputs = block(
2025-08-26T20:56:12.7992776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7992854Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7993098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7993175Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7993437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7993551Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7993792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.7993876Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.7994106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7994222Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7994226Z 
2025-08-26T20:56:12.7994332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7994522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7994595Z     return mod(**inputs)
2025-08-26T20:56:12.7994849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7994932Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7995175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7995240Z     outputs = block(
2025-08-26T20:56:12.7995458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7995550Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7995782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7995856Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7996091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7996199Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7996437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.7996524Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.7996741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.7996917Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.7996922Z 
2025-08-26T20:56:12.7997030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7997221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7997295Z     return mod(**inputs)
2025-08-26T20:56:12.7997535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.7997617Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.7997861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.7997924Z     outputs = block(
2025-08-26T20:56:12.7998141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.7998220Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.7998451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.7998529Z     return func(*args, **kwargs)
2025-08-26T20:56:12.7998763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.7998872Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.7999119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.7999217Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.7999422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.7999536Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.7999541Z 
2025-08-26T20:56:12.7999651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.7999841Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.7999916Z     return mod(**inputs)
2025-08-26T20:56:12.8000155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8000237Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8000479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8000541Z     outputs = block(
2025-08-26T20:56:12.8000777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8000857Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8001098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8001168Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8001403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 442, in forward
2025-08-26T20:56:12.8001534Z     hidden_states = residual + feed_forward_hidden_states
2025-08-26T20:56:12.8001537Z 
2025-08-26T20:56:12.8001637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8001833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8001899Z     return mod(**inputs)
2025-08-26T20:56:12.8002137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8002226Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8002458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8002543Z     outputs = block(
2025-08-26T20:56:12.8002753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8002832Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8003075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8003144Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8003388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.8003476Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.8003718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8003786Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8004025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 294, in forward
2025-08-26T20:56:12.8004215Z     query_states, key_states, value_states = self.c_attn(hidden_states).split(self.split_size, dim=2)
2025-08-26T20:56:12.8004427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.8004548Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.8004552Z 
2025-08-26T20:56:12.8004633Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.8004728Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.8004815Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.8004892Z cudagraph partition due to non gpu ops
2025-08-26T20:56:12.8005001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8005191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8005259Z     return mod(**inputs)
2025-08-26T20:56:12.8005505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8005588Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8005831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8005895Z     outputs = block(
2025-08-26T20:56:12.8006104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8006190Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8006434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8006702Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8006948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.8007050Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.8007278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8007404Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8007645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.8007741Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.8008028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T20:56:12.8008158Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:56:12.8008163Z 
2025-08-26T20:56:12.8008266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8008468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8008563Z     return mod(**inputs)
2025-08-26T20:56:12.8008818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8008905Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8009155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8009220Z     outputs = block(
2025-08-26T20:56:12.8009439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8009530Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8009766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8009842Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8010083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.8010173Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.8010415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8010487Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8010737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-26T20:56:12.8010835Z     attn_output, attn_weights = attention_interface(
2025-08-26T20:56:12.8011146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T20:56:12.8011269Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T20:56:12.8011273Z 
2025-08-26T20:56:12.8011375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8011579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8011648Z     return mod(**inputs)
2025-08-26T20:56:12.8011900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8011988Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8012234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8012306Z     outputs = block(
2025-08-26T20:56:12.8012585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8012691Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8012982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8013059Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8013331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-26T20:56:12.8013428Z     attn_output, self_attn_weights = self.attn(
2025-08-26T20:56:12.8013690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8013796Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8014060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 349, in forward
2025-08-26T20:56:12.8014161Z     attn_output = self.c_proj(attn_output)
2025-08-26T20:56:12.8014408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.8014536Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.8014539Z 
2025-08-26T20:56:12.8014645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8014849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8014945Z     return mod(**inputs)
2025-08-26T20:56:12.8015191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8015286Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8015526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8015597Z     outputs = block(
2025-08-26T20:56:12.8015813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8015893Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8016137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8016206Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8016451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.8016557Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.8016807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 365, in forward
2025-08-26T20:56:12.8016888Z     hidden_states = self.c_fc(hidden_states)
2025-08-26T20:56:12.8017099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.8017239Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.8017243Z 
2025-08-26T20:56:12.8017347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8017552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8017617Z     return mod(**inputs)
2025-08-26T20:56:12.8017864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8017958Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8018203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8018274Z     outputs = block(
2025-08-26T20:56:12.8018493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8018573Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8018821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8018890Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8019154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.8019259Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.8019509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-26T20:56:12.8019590Z     hidden_states = self.act(hidden_states)
2025-08-26T20:56:12.8019823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-26T20:56:12.8020017Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-26T20:56:12.8020021Z 
2025-08-26T20:56:12.8020127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8020346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8020413Z     return mod(**inputs)
2025-08-26T20:56:12.8020662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-26T20:56:12.8020754Z     transformer_outputs = self.transformer(
2025-08-26T20:56:12.8021013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-26T20:56:12.8021084Z     outputs = block(
2025-08-26T20:56:12.8021303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:56:12.8021389Z     return super().__call__(*args, **kwargs)
2025-08-26T20:56:12.8021626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:56:12.8021698Z     return func(*args, **kwargs)
2025-08-26T20:56:12.8021944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-26T20:56:12.8022052Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-26T20:56:12.8022298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 367, in forward
2025-08-26T20:56:12.8022389Z     hidden_states = self.c_proj(hidden_states)
2025-08-26T20:56:12.8022599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 116, in forward
2025-08-26T20:56:12.8022727Z     x = torch.addmm(self.bias, x.view(-1, x.size(-1)), self.weight)
2025-08-26T20:56:12.8022730Z 
2025-08-26T20:56:12.8022832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:12.8023030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:12.8023096Z     return mod(**inputs)
2025-08-26T20:56:12.8023360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1207, in forward
2025-08-26T20:56:12.8023476Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-08-26T20:56:12.8023480Z 
2025-08-26T20:56:21.1877370Z Compilation time (from dynamo_timed): 13.873091051
2025-08-26T20:56:21.1977958Z pass
2025-08-26T20:56:21.1982322Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:21.1987819Z TIMING: _recursive_pre_grad_passes:0.00828 _recursive_joint_graph_passes:0.29734 _recursive_post_grad_passes:0.06612 async_compile.wait:0.61733 code_gen:8.05246 inductor_compile:9.41042 backend_compile:11.64058 gc:0.00016 entire_frame_compile:13.87309 total_wall_time:13.87309
2025-08-26T20:56:21.1989294Z STATS: call_* op count: 560 | FakeTensorMode.__torch_dispatch__:11214 | FakeTensor.__torch_dispatch__:4146 | ProxyTorchDispatchMode.__torch_dispatch__:4037
2025-08-26T20:56:21.1989795Z Dynamo produced 1 graphs covering 560 ops with 0 graph breaks (0 unique)
2025-08-26T20:56:25.5173921Z 
2025-08-26T20:56:26.1582452Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:56:26.1585032Z 
2025-08-26T20:56:26.1623105Z config.json:   0% 0.00/666 [00:00<?, ?B/s]
2025-08-26T20:56:26.1625342Z config.json: 100% 666/666 [00:00<00:00, 164kB/s]
2025-08-26T20:56:41.3093882Z 
2025-08-26T20:56:41.3097061Z loading model: 0it [00:15, ?it/s]
2025-08-26T20:56:41.3121179Z cpu  eval  hf_GPT2_large                      
2025-08-26T20:56:41.4073984Z Compilation time (from dynamo_timed): 0
2025-08-26T20:56:41.4074271Z pass_due_to_skip
2025-08-26T20:56:41.4079746Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:41.4080256Z TIMING: total_wall_time:0
2025-08-26T20:56:41.4080553Z STATS: call_* op count: 0
2025-08-26T20:56:41.4080823Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-26T20:56:44.9272615Z 
2025-08-26T20:56:45.5358532Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:56:45.5358895Z 
2025-08-26T20:56:45.5405717Z config.json:   0% 0.00/694 [00:00<?, ?B/s]
2025-08-26T20:56:45.5410767Z config.json: 100% 694/694 [00:00<00:00, 157kB/s]
2025-08-26T20:56:48.7454926Z 
2025-08-26T20:56:48.7455552Z loading model: 0it [00:03, ?it/s]
2025-08-26T20:56:48.7474288Z cpu  eval  hf_Longformer                      
2025-08-26T20:56:52.0024219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:53.0626766Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:54.1515612Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:56:55.3691850Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T20:56:55.3692918Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T20:56:55.3693461Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-26T20:56:55.3694018Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T20:56:55.3694605Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-26T20:56:55.3695119Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:56:55.3695640Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-26T20:56:55.3696268Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:56:55.3697213Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(**inputs)
2025-08-26T20:56:55.3697936Z W0826 20:56:55.367449 23160 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
2025-08-26T20:56:55.3698685Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.longformer(
2025-08-26T20:56:55.3699437Z W0826 20:56:55.367449 23160 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
2025-08-26T20:56:55.3700229Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     encoder_outputs = self.encoder(
2025-08-26T20:56:55.3700999Z W0826 20:56:55.367449 23160 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
2025-08-26T20:56:55.3701904Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     is_global_attn = is_index_global_attn.flatten().any().item()
2025-08-26T20:56:55.3702426Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:56:55.3702832Z W0826 20:56:55.367449 23160 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-26T20:56:56.4670879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:56.4671603Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:56:56.4672036Z     embedding_output = self.embeddings(
2025-08-26T20:56:56.4672518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:56:56.4673036Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:56:56.4673609Z   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
2025-08-26T20:56:56.4674413Z     mask = input_ids.ne(padding_idx).int()
2025-08-26T20:56:56.4674565Z 
2025-08-26T20:56:56.4674680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:56.4675124Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1592, in forward
2025-08-26T20:56:56.4675671Z     extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape)[
2025-08-26T20:56:56.4676187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1763, in get_extended_attention_mask
2025-08-26T20:56:56.4676673Z     extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-08-26T20:56:56.4676893Z 
2025-08-26T20:56:56.4677005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:56.4677441Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:56:56.4677854Z     embedding_output = self.embeddings(
2025-08-26T20:56:56.4678257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:56:56.4678778Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:56:56.4679355Z   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
2025-08-26T20:56:56.4679963Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-26T20:56:56.4680176Z 
2025-08-26T20:56:56.4680294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:56:56.4680753Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-26T20:56:56.4681221Z     embedding_output = self.embeddings(
2025-08-26T20:56:56.4681685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-26T20:56:56.4682261Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-26T20:56:56.4682908Z   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
2025-08-26T20:56:56.4683488Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-26T20:56:56.4683710Z 
2025-08-26T20:57:24.7290930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7294310Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7295024Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7300027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7300844Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7301338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7302309Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7302791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7303258Z     self_outputs = self.self(
2025-08-26T20:57:24.7303742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7304234Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7304405Z 
2025-08-26T20:57:24.7304549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7305162Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7305781Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7306183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7306783Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7307271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7307771Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7308272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7308762Z     self_outputs = self.self(
2025-08-26T20:57:24.7309234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7309774Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7310375Z   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
2025-08-26T20:57:24.7311047Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7311341Z 
2025-08-26T20:57:24.7311469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7312151Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7312704Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7313106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7313536Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7313967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7314398Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7314818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7315238Z     self_outputs = self.self(
2025-08-26T20:57:24.7315646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7316079Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7316221Z 
2025-08-26T20:57:24.7316341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7316892Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7317400Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7317765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7318144Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7318610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7319023Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7319448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7319866Z     self_outputs = self.self(
2025-08-26T20:57:24.7320275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7320723Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7321236Z   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
2025-08-26T20:57:24.7321839Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7322349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7322778Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7322919Z 
2025-08-26T20:57:24.7323037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7323559Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7324066Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7324427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7324816Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7325245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7325684Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7326113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7326552Z     self_outputs = self.self(
2025-08-26T20:57:24.7327016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7327490Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7328036Z   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
2025-08-26T20:57:24.7328663Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7328935Z 
2025-08-26T20:57:24.7329028Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7329280Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7329512Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7329745Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7330008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7330569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7331092Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7331486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7331989Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7332587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7333127Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7333597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7334094Z     self_outputs = self.self(
2025-08-26T20:57:24.7334526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7335025Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7335575Z   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
2025-08-26T20:57:24.7336154Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7336720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7337322Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7337550Z 
2025-08-26T20:57:24.7337642Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7337907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7338462Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7338984Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7339364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7339759Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7340219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7340666Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7341129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7341592Z     self_outputs = self.self(
2025-08-26T20:57:24.7342049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7342510Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7342643Z 
2025-08-26T20:57:24.7342757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7343330Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7343854Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7344233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7344630Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7345079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7345536Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7345988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7346427Z     self_outputs = self.self(
2025-08-26T20:57:24.7346855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7347307Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7347460Z 
2025-08-26T20:57:24.7347596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7348147Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7348667Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7349039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7349453Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7349903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7350337Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7350754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7351153Z     self_outputs = self.self(
2025-08-26T20:57:24.7351552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7351982Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7352143Z 
2025-08-26T20:57:24.7352256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7352771Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7353261Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7353621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7353987Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7354416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7354840Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7355256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7355672Z     self_outputs = self.self(
2025-08-26T20:57:24.7356080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7356548Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7357081Z   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
2025-08-26T20:57:24.7357678Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7358156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7358528Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7358686Z 
2025-08-26T20:57:24.7358803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7359331Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7359841Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7360208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7360591Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7361030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7361461Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7361901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7362406Z     self_outputs = self.self(
2025-08-26T20:57:24.7362822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7363292Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7363825Z   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
2025-08-26T20:57:24.7364403Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7364931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7365413Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7365780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7366143Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7366307Z 
2025-08-26T20:57:24.7366416Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7366969Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7367508Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7367886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7368278Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7368733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7369374Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7369834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7370283Z     self_outputs = self.self(
2025-08-26T20:57:24.7370711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7371209Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7371778Z   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
2025-08-26T20:57:24.7372396Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7372690Z 
2025-08-26T20:57:24.7372825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7373421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7373976Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7374370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7374754Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7375199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7375639Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7376078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7376504Z     self_outputs = self.self(
2025-08-26T20:57:24.7376920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7377386Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7377948Z   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
2025-08-26T20:57:24.7378518Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7378737Z 
2025-08-26T20:57:24.7378846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7379369Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7379883Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7380244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7380653Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7381127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7381638Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7382059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7382526Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7383010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7383448Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7383592Z 
2025-08-26T20:57:24.7383709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7384220Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7384712Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7385068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7385443Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7385894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7386321Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7386746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7387272Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7387735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7388175Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7388317Z 
2025-08-26T20:57:24.7388446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7388977Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7389470Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7389828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7390201Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7390628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7391068Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7391484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7391890Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7392289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7392761Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7393215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7393633Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7393770Z 
2025-08-26T20:57:24.7393883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7394392Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7394864Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7395204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7395565Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7395983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7396404Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7396806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7397253Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7397668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7398121Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7398565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7399020Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7399408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7399757Z     return self.act(input)
2025-08-26T20:57:24.7399871Z 
2025-08-26T20:57:24.7399984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7400493Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7400981Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7401329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7401692Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7402103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7402529Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7402948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7403345Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7403759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7404219Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7404681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7405106Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7405244Z 
2025-08-26T20:57:24.7405356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7405850Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7406319Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7406852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7407234Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7407653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7408078Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7408493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7408940Z     self_outputs = self.self(
2025-08-26T20:57:24.7409345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7409772Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7409912Z 
2025-08-26T20:57:24.7410027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7410532Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7411007Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7411354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7411756Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7412161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7412661Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7413123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7413577Z     self_outputs = self.self(
2025-08-26T20:57:24.7414014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7414504Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7415026Z   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
2025-08-26T20:57:24.7415631Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7415894Z 
2025-08-26T20:57:24.7416007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7416542Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7417036Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7417431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7417813Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7418251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7418691Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7419122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7419550Z     self_outputs = self.self(
2025-08-26T20:57:24.7419961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7420400Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7420541Z 
2025-08-26T20:57:24.7420658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7421183Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7421677Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7422053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7422415Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7422841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7423249Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7424777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7425191Z     self_outputs = self.self(
2025-08-26T20:57:24.7425600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7426045Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7426537Z   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
2025-08-26T20:57:24.7427091Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7427609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7428022Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7428158Z 
2025-08-26T20:57:24.7428274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7428774Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7429239Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7429571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7429913Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7430299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7430691Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7431085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7431470Z     self_outputs = self.self(
2025-08-26T20:57:24.7431845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7432254Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7432741Z   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
2025-08-26T20:57:24.7433287Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7433517Z 
2025-08-26T20:57:24.7433604Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7433811Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7434009Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7434211Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7434438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7434919Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7435373Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7435711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7436062Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7436475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7436876Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7437288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7437817Z     self_outputs = self.self(
2025-08-26T20:57:24.7438218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7438677Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7439171Z   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
2025-08-26T20:57:24.7439699Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7440224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7440757Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7440956Z 
2025-08-26T20:57:24.7441052Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7441302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7441789Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7442248Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7442577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7442922Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7443318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7443703Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7444098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7444489Z     self_outputs = self.self(
2025-08-26T20:57:24.7444866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7445253Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7445370Z 
2025-08-26T20:57:24.7445470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7445951Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7446403Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7446752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7447088Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7447488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7447893Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7448293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7448690Z     self_outputs = self.self(
2025-08-26T20:57:24.7449071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7449478Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7449615Z 
2025-08-26T20:57:24.7449717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7450212Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7450693Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7451027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7451380Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7451784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7452204Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7452724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7453186Z     self_outputs = self.self(
2025-08-26T20:57:24.7453621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7454090Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7454232Z 
2025-08-26T20:57:24.7454349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7454850Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7455355Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7455702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7456061Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7456472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7456878Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7457292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7457706Z     self_outputs = self.self(
2025-08-26T20:57:24.7458102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7458560Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7459074Z   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
2025-08-26T20:57:24.7459652Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7460085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7460430Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7460579Z 
2025-08-26T20:57:24.7460705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7461197Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7461678Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7462026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7462387Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7462804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7463217Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7463650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7464047Z     self_outputs = self.self(
2025-08-26T20:57:24.7464440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7464908Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7465423Z   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
2025-08-26T20:57:24.7465991Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7466520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7467006Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7467338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7467670Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7467825Z 
2025-08-26T20:57:24.7467932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7468439Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7468921Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7469269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7469640Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7470061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7470479Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7470892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7471294Z     self_outputs = self.self(
2025-08-26T20:57:24.7471696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7472152Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7472669Z   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
2025-08-26T20:57:24.7473230Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7473433Z 
2025-08-26T20:57:24.7473540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7474049Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7474527Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7474896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7475269Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7475685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7476105Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7476521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7476914Z     self_outputs = self.self(
2025-08-26T20:57:24.7477294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7477720Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7478218Z   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
2025-08-26T20:57:24.7478749Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7478941Z 
2025-08-26T20:57:24.7479068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7479556Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7480011Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7480350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7480711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7481108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7481502Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7481889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7482313Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7482743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7483146Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7483298Z 
2025-08-26T20:57:24.7483405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7483884Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7484345Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7484675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7485018Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7485417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7485807Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7486213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7486652Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7487095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7487503Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7487646Z 
2025-08-26T20:57:24.7487749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7488250Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7488738Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7489080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7489426Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7489820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7490229Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7490622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7491014Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7491418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7491864Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7492308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7492823Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7492967Z 
2025-08-26T20:57:24.7493079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7493566Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7494052Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7494426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7494793Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7495233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7495651Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7496055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7496446Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7496858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7497318Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7497762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7498211Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7498590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7498933Z     return self.act(input)
2025-08-26T20:57:24.7499045Z 
2025-08-26T20:57:24.7499151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7499661Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7500140Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7500489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7500851Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7501257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7501680Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7502076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7502465Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7502898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7503358Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7503820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7504250Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7504389Z 
2025-08-26T20:57:24.7504507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7505016Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7505498Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7505855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7506222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7506857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7507279Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7507678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7508081Z     self_outputs = self.self(
2025-08-26T20:57:24.7508472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7508914Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7509050Z 
2025-08-26T20:57:24.7509155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7509653Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7510118Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7510467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7510824Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7511220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7511659Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7512063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7512464Z     self_outputs = self.self(
2025-08-26T20:57:24.7512854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7513277Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7513767Z   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
2025-08-26T20:57:24.7514314Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7514543Z 
2025-08-26T20:57:24.7514652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7515137Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7515586Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7515917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7516260Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7516677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7517070Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7517458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7517846Z     self_outputs = self.self(
2025-08-26T20:57:24.7518227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7518632Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7518764Z 
2025-08-26T20:57:24.7518877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7519366Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7519838Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7520178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7520540Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7520970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7521440Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7521848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7522249Z     self_outputs = self.self(
2025-08-26T20:57:24.7522649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7523070Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7523548Z   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
2025-08-26T20:57:24.7524080Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7524560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7524961Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7525110Z 
2025-08-26T20:57:24.7525213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7525706Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7526171Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7526514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7526871Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7527272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7527675Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7528078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7528479Z     self_outputs = self.self(
2025-08-26T20:57:24.7528867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7529290Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7529775Z   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
2025-08-26T20:57:24.7530339Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7530579Z 
2025-08-26T20:57:24.7530690Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7530916Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7531125Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7531339Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7531580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7532088Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7532651Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7533057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7533458Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7533897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7534326Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7534721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7535146Z     self_outputs = self.self(
2025-08-26T20:57:24.7535534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7535969Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7536460Z   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
2025-08-26T20:57:24.7536990Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7537503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7538021Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7538224Z 
2025-08-26T20:57:24.7538310Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7538548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7539038Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7539527Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7539866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7540219Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7540618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7541021Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7541435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7541832Z     self_outputs = self.self(
2025-08-26T20:57:24.7542216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7542606Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7542735Z 
2025-08-26T20:57:24.7542838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7543324Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7543787Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7544123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7544465Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7544890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7545296Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7545699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7546095Z     self_outputs = self.self(
2025-08-26T20:57:24.7546537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7546952Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7547096Z 
2025-08-26T20:57:24.7547199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7547697Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7548161Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7548497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7548867Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7549283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7549701Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7550110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7550514Z     self_outputs = self.self(
2025-08-26T20:57:24.7550888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7551291Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7551423Z 
2025-08-26T20:57:24.7551530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7552003Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7552459Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7552786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7553151Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7553542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7553926Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7554317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7554702Z     self_outputs = self.self(
2025-08-26T20:57:24.7555076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7555508Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7555999Z   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
2025-08-26T20:57:24.7556545Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7556947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7557285Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7557429Z 
2025-08-26T20:57:24.7557536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7558008Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7558474Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7558810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7559174Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7559562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7559960Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7560351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7560736Z     self_outputs = self.self(
2025-08-26T20:57:24.7561110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7561532Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7562024Z   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
2025-08-26T20:57:24.7562555Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7563037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7563481Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7563800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7564152Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7564303Z 
2025-08-26T20:57:24.7564405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7564889Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7565345Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7565672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7566015Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7566413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7566833Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7567225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7567612Z     self_outputs = self.self(
2025-08-26T20:57:24.7567995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7568427Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7568921Z   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
2025-08-26T20:57:24.7569452Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7569645Z 
2025-08-26T20:57:24.7569746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7570232Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7570684Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7571011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7571354Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7571766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7572161Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7572627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7573059Z     self_outputs = self.self(
2025-08-26T20:57:24.7573448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7573904Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7574419Z   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
2025-08-26T20:57:24.7574976Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7575571Z 
2025-08-26T20:57:24.7575687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7576192Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7576666Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7577018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7577384Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7577802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7578236Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7578639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7579086Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7579555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7580017Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7580161Z 
2025-08-26T20:57:24.7580275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7580826Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7581380Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7581736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7582106Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7582583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7583033Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7583465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7583941Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7584413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7584850Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7584999Z 
2025-08-26T20:57:24.7585107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7585632Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7586107Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7586450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7586820Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7587230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7587646Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7588040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7588432Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7588829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7589275Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7589712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7590125Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7590260Z 
2025-08-26T20:57:24.7590370Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7590873Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7591343Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7591682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7592040Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7592437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7592870Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7593261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7593648Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7594052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7594493Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7594934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7595395Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7595769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7596104Z     return self.act(input)
2025-08-26T20:57:24.7596213Z 
2025-08-26T20:57:24.7596316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7596812Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7597279Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7597624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7597985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7598397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7598821Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7599221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7599620Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7600033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7600495Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7600977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7601402Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7601542Z 
2025-08-26T20:57:24.7601666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7602161Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7602626Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7602977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7603342Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7603759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7604170Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7604604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7605012Z     self_outputs = self.self(
2025-08-26T20:57:24.7605407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7605826Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7605962Z 
2025-08-26T20:57:24.7606066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7606710Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7607198Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7607548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7607920Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7608332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7608749Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7609162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7609613Z     self_outputs = self.self(
2025-08-26T20:57:24.7610011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7610447Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7610941Z   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
2025-08-26T20:57:24.7611519Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7611761Z 
2025-08-26T20:57:24.7611875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7612388Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7612930Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7613313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7613704Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7614166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7614577Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7615007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7615410Z     self_outputs = self.self(
2025-08-26T20:57:24.7615801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7616205Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7616337Z 
2025-08-26T20:57:24.7616440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7616931Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7617396Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7617731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7618079Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7618475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7618877Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7619301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7619704Z     self_outputs = self.self(
2025-08-26T20:57:24.7620091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7620519Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7621048Z   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
2025-08-26T20:57:24.7621575Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7622051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7622449Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7622578Z 
2025-08-26T20:57:24.7622682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7623176Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7623667Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7624003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7624358Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7624755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7625158Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7625568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7625963Z     self_outputs = self.self(
2025-08-26T20:57:24.7626339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7626768Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7627247Z   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
2025-08-26T20:57:24.7627802Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7628033Z 
2025-08-26T20:57:24.7628124Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7628329Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7628538Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7628743Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7628994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7629493Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7629953Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7630291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7630642Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7631048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7631458Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7631840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7632223Z     self_outputs = self.self(
2025-08-26T20:57:24.7632601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7633038Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7633518Z   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
2025-08-26T20:57:24.7634032Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7634533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7635050Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7635246Z 
2025-08-26T20:57:24.7635330Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7635555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7636045Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7636503Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7636834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7637202Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7637595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7637999Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7638395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7638785Z     self_outputs = self.self(
2025-08-26T20:57:24.7639167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7639554Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7639680Z 
2025-08-26T20:57:24.7639783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7640270Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7640727Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7641059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7641403Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7641800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7642194Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7642609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7642987Z     self_outputs = self.self(
2025-08-26T20:57:24.7643364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7643759Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7643889Z 
2025-08-26T20:57:24.7643998Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7644478Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7644923Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7645250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7645594Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7645991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7646397Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7646784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7647173Z     self_outputs = self.self(
2025-08-26T20:57:24.7647554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7647954Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7648106Z 
2025-08-26T20:57:24.7648216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7648693Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7649153Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7649490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7649843Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7650244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7650643Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7651035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7651420Z     self_outputs = self.self(
2025-08-26T20:57:24.7651795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7652219Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7652825Z   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
2025-08-26T20:57:24.7653430Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7653865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7654230Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7654391Z 
2025-08-26T20:57:24.7654495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7654992Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7655462Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7655824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7656222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7656649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7657079Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7657511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7657941Z     self_outputs = self.self(
2025-08-26T20:57:24.7658345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7658806Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7659334Z   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
2025-08-26T20:57:24.7659888Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7660403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7660897Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7661244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7661610Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7661770Z 
2025-08-26T20:57:24.7661880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7662402Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7662912Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7663260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7663630Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7664059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7664481Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7664915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7665327Z     self_outputs = self.self(
2025-08-26T20:57:24.7665726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7666169Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7666672Z   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
2025-08-26T20:57:24.7667216Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7667414Z 
2025-08-26T20:57:24.7667518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7668014Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7668482Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7668819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7669169Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7669564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7669960Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7670358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7670775Z     self_outputs = self.self(
2025-08-26T20:57:24.7671152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7671590Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7672090Z   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
2025-08-26T20:57:24.7672628Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7672824Z 
2025-08-26T20:57:24.7672934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7673419Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7673882Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7674219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7674590Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7674997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7675391Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7675794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7676262Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7676697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7677110Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7677244Z 
2025-08-26T20:57:24.7677350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7677842Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7678312Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7678645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7679012Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7679410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7679812Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7680220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7680653Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7681086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7681498Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7681638Z 
2025-08-26T20:57:24.7681739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7682227Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7682694Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7683032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7683390Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7683807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7684255Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7684637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7685006Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7685406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7685847Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7686276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7686689Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7686820Z 
2025-08-26T20:57:24.7686923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7687418Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7687883Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7688236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7688589Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7688994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7689411Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7689800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7690198Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7690600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7691033Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7691467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7691911Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7692293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7692721Z     return self.act(input)
2025-08-26T20:57:24.7692839Z 
2025-08-26T20:57:24.7692947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7693502Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7694016Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7694386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7694745Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7695167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7695658Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7696074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7696481Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7696901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7697379Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7697848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7698279Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7698422Z 
2025-08-26T20:57:24.7698562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7699079Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7699567Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7699921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7700293Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7700717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7701134Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7701556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7701973Z     self_outputs = self.self(
2025-08-26T20:57:24.7702380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7702827Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7702973Z 
2025-08-26T20:57:24.7703081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7703618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7704124Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7704497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7704869Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7705286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7705712Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7706128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7706703Z     self_outputs = self.self(
2025-08-26T20:57:24.7707110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7707596Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7708075Z   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
2025-08-26T20:57:24.7708639Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7708876Z 
2025-08-26T20:57:24.7708986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7709477Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7709946Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7710285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7710639Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7711045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7711444Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7711849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7712251Z     self_outputs = self.self(
2025-08-26T20:57:24.7712636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7713067Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7713200Z 
2025-08-26T20:57:24.7713303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7713798Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7714266Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7714605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7714959Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7715360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7715769Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7716173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7716575Z     self_outputs = self.self(
2025-08-26T20:57:24.7716979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7717412Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7717891Z   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
2025-08-26T20:57:24.7718424Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7718931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7719323Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7719450Z 
2025-08-26T20:57:24.7719550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7720029Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7720485Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7720816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7721170Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7721569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7721966Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7722363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7722752Z     self_outputs = self.self(
2025-08-26T20:57:24.7723128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7723547Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7724019Z   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
2025-08-26T20:57:24.7724566Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7724798Z 
2025-08-26T20:57:24.7724884Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7725085Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7725291Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7725490Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7725716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7726213Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7726668Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7726999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7727342Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7727728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7728111Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7728502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7728888Z     self_outputs = self.self(
2025-08-26T20:57:24.7729260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7729365Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7729688Z   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
2025-08-26T20:57:24.7729850Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7730157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7730309Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7730312Z 
2025-08-26T20:57:24.7730403Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7730511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7730841Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7730921Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7731131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7731210Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7731481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7731572Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7731844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7731913Z     self_outputs = self.self(
2025-08-26T20:57:24.7732174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7732254Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7732257Z 
2025-08-26T20:57:24.7732356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7732781Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7732865Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7733103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7733188Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7733475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7733567Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7733852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7733943Z     self_outputs = self.self(
2025-08-26T20:57:24.7734229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7734320Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7734324Z 
2025-08-26T20:57:24.7734429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7734764Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7734846Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7735060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7735150Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7735421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7735496Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7735775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7735847Z     self_outputs = self.self(
2025-08-26T20:57:24.7736141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7736226Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7736232Z 
2025-08-26T20:57:24.7736338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7736671Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7736759Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7736983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7737061Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7737339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7737416Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7737684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7737782Z     self_outputs = self.self(
2025-08-26T20:57:24.7738054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7738179Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7738520Z   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
2025-08-26T20:57:24.7738696Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7738886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7738987Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7738990Z 
2025-08-26T20:57:24.7739099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7739439Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7739521Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7739736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7739821Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7740094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7740170Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7740466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7740540Z     self_outputs = self.self(
2025-08-26T20:57:24.7740813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7740931Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7741267Z   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
2025-08-26T20:57:24.7741406Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7741713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7741811Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7741999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7742119Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7742125Z 
2025-08-26T20:57:24.7742227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7742558Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7742640Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7742854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7742957Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7743229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7743304Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7743583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7743652Z     self_outputs = self.self(
2025-08-26T20:57:24.7743925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7744056Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7744398Z   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
2025-08-26T20:57:24.7744549Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7744553Z 
2025-08-26T20:57:24.7744653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7744995Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7745066Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7745286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7745363Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7745640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7745715Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7745986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7746061Z     self_outputs = self.self(
2025-08-26T20:57:24.7746328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7746466Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7746867Z   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
2025-08-26T20:57:24.7747025Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7747030Z 
2025-08-26T20:57:24.7747130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7747468Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7747548Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7747760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7747845Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7748115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7748190Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7748486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7748597Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7748875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7748975Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7748978Z 
2025-08-26T20:57:24.7749086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7749421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7749493Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7749714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7749792Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7750067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7750161Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7750429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7750547Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7750814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7750904Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7750907Z 
2025-08-26T20:57:24.7751008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7751352Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7751424Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7751638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7751725Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7752037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7752135Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7752388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7752470Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7752767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7752880Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7753158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7753239Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7753242Z 
2025-08-26T20:57:24.7753350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7753694Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7753774Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7753992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7754068Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7754355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7754440Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7754695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7754775Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7755050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7755229Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7755502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7755622Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7755830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7755903Z     return self.act(input)
2025-08-26T20:57:24.7755913Z 
2025-08-26T20:57:24.7756015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7756347Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7756448Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7756665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7756749Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7757022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7757103Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7757363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7757442Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7757730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7757852Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7758139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7758222Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7758226Z 
2025-08-26T20:57:24.7758327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7758685Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7758757Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7758981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7759057Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7759326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7759410Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7759677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7759752Z     self_outputs = self.self(
2025-08-26T20:57:24.7760020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7760111Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7760114Z 
2025-08-26T20:57:24.7760216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7760564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7760643Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7760855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7760939Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7761213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7761309Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7761588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7761657Z     self_outputs = self.self(
2025-08-26T20:57:24.7761934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7762036Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7762368Z   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
2025-08-26T20:57:24.7762570Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7762573Z 
2025-08-26T20:57:24.7762677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7763023Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7763095Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7763319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7763397Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7763673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7763748Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7764024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7764098Z     self_outputs = self.self(
2025-08-26T20:57:24.7764360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7764444Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7764448Z 
2025-08-26T20:57:24.7764546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7764898Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7764976Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7765185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7765269Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7765536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7765617Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7765884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7765951Z     self_outputs = self.self(
2025-08-26T20:57:24.7766222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7766321Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7766661Z   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
2025-08-26T20:57:24.7766809Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7767082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7767156Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7767176Z 
2025-08-26T20:57:24.7767274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7767608Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7767678Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7767891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7767968Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7768232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7768313Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7768593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7768668Z     self_outputs = self.self(
2025-08-26T20:57:24.7768927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7769031Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7769347Z   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
2025-08-26T20:57:24.7769521Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7769524Z 
2025-08-26T20:57:24.7769610Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7769689Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7769772Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7769848Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7769948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7770286Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7770357Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7770571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7770663Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7770928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7771008Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7771268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7771346Z     self_outputs = self.self(
2025-08-26T20:57:24.7771607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7771720Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7772044Z   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
2025-08-26T20:57:24.7772186Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7772614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7772780Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7772784Z 
2025-08-26T20:57:24.7772876Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7772986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7773350Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7773445Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7773671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7773763Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7774045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7774131Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7774403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7774473Z     self_outputs = self.self(
2025-08-26T20:57:24.7774775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7774848Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7774853Z 
2025-08-26T20:57:24.7774963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7775297Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7775374Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7775586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7775663Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7775938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7776013Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7776286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7776356Z     self_outputs = self.self(
2025-08-26T20:57:24.7776620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7776705Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7776709Z 
2025-08-26T20:57:24.7776808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7777167Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7777241Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7777459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7777538Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7777806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7777889Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7778161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7778237Z     self_outputs = self.self(
2025-08-26T20:57:24.7778506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7778590Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7778601Z 
2025-08-26T20:57:24.7778731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7779071Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7779153Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7779366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7779472Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7779746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7779822Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7780106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7780178Z     self_outputs = self.self(
2025-08-26T20:57:24.7780455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7780574Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7780939Z   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
2025-08-26T20:57:24.7781110Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7781298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7781404Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7781407Z 
2025-08-26T20:57:24.7781510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7781856Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7781928Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7782150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7782229Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7782501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7782586Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7782858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7782933Z     self_outputs = self.self(
2025-08-26T20:57:24.7783217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7783336Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7783683Z   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
2025-08-26T20:57:24.7783815Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7784127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7784222Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7784414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7784511Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7784514Z 
2025-08-26T20:57:24.7784615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7784973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7785047Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7785267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7785345Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7785613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7785709Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7785975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7786053Z     self_outputs = self.self(
2025-08-26T20:57:24.7786320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7786441Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7786773Z   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
2025-08-26T20:57:24.7786953Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7786956Z 
2025-08-26T20:57:24.7787064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7787400Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7787478Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7787693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7787779Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7788048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7788123Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7788403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7788471Z     self_outputs = self.self(
2025-08-26T20:57:24.7788737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7788846Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7789188Z   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
2025-08-26T20:57:24.7789340Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7789344Z 
2025-08-26T20:57:24.7789442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7789780Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7789850Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7790068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7790146Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7790409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7790489Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7790755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7790867Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7791147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7791235Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7791239Z 
2025-08-26T20:57:24.7791336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7791662Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7791755Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7791961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7792041Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7792306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7792381Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7792652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7792776Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7793042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7793124Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7793127Z 
2025-08-26T20:57:24.7793231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7793559Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7793628Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7793846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7793920Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7794184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7794265Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7794506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7794589Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7794853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7794968Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7795249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7795337Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7795340Z 
2025-08-26T20:57:24.7795439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7795763Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7795841Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7796048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7796133Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7796391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7796480Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7796735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7796812Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7797085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7797192Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7797457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7797588Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7797789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7797865Z     return self.act(input)
2025-08-26T20:57:24.7797869Z 
2025-08-26T20:57:24.7797967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7798298Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7798369Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7798580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7798672Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7798934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7799022Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7799263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7799344Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7799612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7799732Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7800001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7800081Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7800084Z 
2025-08-26T20:57:24.7800188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7800515Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7800594Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7800801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7800891Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7801168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7801241Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7801508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7801578Z     self_outputs = self.self(
2025-08-26T20:57:24.7801837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7801927Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7801930Z 
2025-08-26T20:57:24.7802027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7802363Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7802433Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7802661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7802740Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7802997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7803079Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7803337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7803428Z     self_outputs = self.self(
2025-08-26T20:57:24.7803686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7803791Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7804108Z   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
2025-08-26T20:57:24.7804285Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7804288Z 
2025-08-26T20:57:24.7804395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7804737Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7804816Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7805022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7805104Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7805367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7805440Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7805708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7805775Z     self_outputs = self.self(
2025-08-26T20:57:24.7806040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7806117Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7806121Z 
2025-08-26T20:57:24.7806221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7806718Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7806795Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7807052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7807128Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7807398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7807471Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7807733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7807810Z     self_outputs = self.self(
2025-08-26T20:57:24.7808072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7808176Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7808495Z   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
2025-08-26T20:57:24.7808643Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7808941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7809016Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7809021Z 
2025-08-26T20:57:24.7809129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7809489Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7809592Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7809805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7809883Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7810161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7810235Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7810511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7810579Z     self_outputs = self.self(
2025-08-26T20:57:24.7810874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7810977Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7811306Z   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
2025-08-26T20:57:24.7811497Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7811501Z 
2025-08-26T20:57:24.7811584Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7811672Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7811750Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7811827Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7811938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7812277Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7812357Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7812616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7812704Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7812989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7813082Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7813369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7813442Z     self_outputs = self.self(
2025-08-26T20:57:24.7813724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7813836Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7814173Z   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
2025-08-26T20:57:24.7814329Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7814653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7814816Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7814821Z 
2025-08-26T20:57:24.7814902Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7815032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7815386Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7815463Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7815698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7815799Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7816101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7816176Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7816449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7816528Z     self_outputs = self.self(
2025-08-26T20:57:24.7816797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7816881Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7816899Z 
2025-08-26T20:57:24.7817004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7817355Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7817429Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7817648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7817734Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7818013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7818099Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7818377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7818447Z     self_outputs = self.self(
2025-08-26T20:57:24.7818732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7818811Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7818816Z 
2025-08-26T20:57:24.7818926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7819269Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7819348Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7819584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7819666Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7819951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7820040Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7820318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7820389Z     self_outputs = self.self(
2025-08-26T20:57:24.7820659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7820749Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7820753Z 
2025-08-26T20:57:24.7820852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7821231Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7821303Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7821521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7821598Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7821865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7821964Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7822231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7822305Z     self_outputs = self.self(
2025-08-26T20:57:24.7822570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7822685Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7823032Z   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
2025-08-26T20:57:24.7823217Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7823408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7823507Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7823510Z 
2025-08-26T20:57:24.7823615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7823950Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7824021Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7824241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7824319Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7824592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7824668Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7824940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7825008Z     self_outputs = self.self(
2025-08-26T20:57:24.7825273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7825398Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7825753Z   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
2025-08-26T20:57:24.7825895Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7826201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7826300Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7826486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7826582Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7826585Z 
2025-08-26T20:57:24.7826691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7827032Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7827109Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7827338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7827417Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7827693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7827771Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7828047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7828131Z     self_outputs = self.self(
2025-08-26T20:57:24.7828405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7828517Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7828852Z   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
2025-08-26T20:57:24.7829008Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7829011Z 
2025-08-26T20:57:24.7829112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7829474Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7829546Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7829767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7829845Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7830114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7830197Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7830466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7830542Z     self_outputs = self.self(
2025-08-26T20:57:24.7830810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7830923Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7831265Z   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
2025-08-26T20:57:24.7831414Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7831417Z 
2025-08-26T20:57:24.7831525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7831884Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7831962Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7832169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7832246Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7832512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7832585Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7832852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7832961Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7833221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7833310Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7833335Z 
2025-08-26T20:57:24.7833435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7833774Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7833844Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7834057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7834147Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7834406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7834488Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7834749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7834861Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7835127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7835234Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7835238Z 
2025-08-26T20:57:24.7835337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7835681Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7835763Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7835982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7836068Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7836346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7836428Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7836691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7836769Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7837055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7837166Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7837452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7837533Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7837536Z 
2025-08-26T20:57:24.7837649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7837996Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7838067Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7838287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7838365Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7838635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7838724Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7838975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7839058Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7839337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7839469Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7839744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7839854Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7840068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7840156Z     return self.act(input)
2025-08-26T20:57:24.7840160Z 
2025-08-26T20:57:24.7840268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7840606Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7840688Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7840898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7840975Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7841252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7841353Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7841610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7841688Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7841959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7842088Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7842356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7842446Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7842449Z 
2025-08-26T20:57:24.7842550Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7842894Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7842967Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7843181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7843267Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7843534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7843640Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7843910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7843981Z     self_outputs = self.self(
2025-08-26T20:57:24.7844257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7844339Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7844342Z 
2025-08-26T20:57:24.7844453Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7844788Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7844866Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7845076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7845153Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7845453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7845533Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7845815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7845889Z     self_outputs = self.self(
2025-08-26T20:57:24.7846164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7846294Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7846628Z   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
2025-08-26T20:57:24.7846823Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7846826Z 
2025-08-26T20:57:24.7846928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7847280Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7847370Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7847586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7847671Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7847946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7848030Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7848303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7848380Z     self_outputs = self.self(
2025-08-26T20:57:24.7848653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7848732Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7848735Z 
2025-08-26T20:57:24.7848847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7849188Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7849268Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7849483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7849561Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7849855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7849932Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7850218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7850289Z     self_outputs = self.self(
2025-08-26T20:57:24.7850575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7850679Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7851019Z   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
2025-08-26T20:57:24.7851184Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7851463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7851549Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7851552Z 
2025-08-26T20:57:24.7851673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7852028Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7852102Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7852336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7852446Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7852816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7852909Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7853213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7853301Z     self_outputs = self.self(
2025-08-26T20:57:24.7853593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7853697Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7854080Z   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
2025-08-26T20:57:24.7854264Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7854269Z 
2025-08-26T20:57:24.7854362Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7854444Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7854524Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7854613Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7854720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7855074Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7855147Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7855364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7855452Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7855727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7855810Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7856084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7856162Z     self_outputs = self.self(
2025-08-26T20:57:24.7856452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7856564Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7856906Z   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
2025-08-26T20:57:24.7857052Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7857383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7857535Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7857538Z 
2025-08-26T20:57:24.7857624Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7857728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7858078Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7858174Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7858393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7858482Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7858760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7858852Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7859136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7859206Z     self_outputs = self.self(
2025-08-26T20:57:24.7859489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7859564Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7859568Z 
2025-08-26T20:57:24.7859671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7860023Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7860113Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7860337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7860417Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7860700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7860776Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7861053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7861130Z     self_outputs = self.self(
2025-08-26T20:57:24.7861407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7861496Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7861500Z 
2025-08-26T20:57:24.7861602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7861954Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7862029Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7862256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7862341Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7862629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7862712Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7862984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7863053Z     self_outputs = self.self(
2025-08-26T20:57:24.7863332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7863415Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7863420Z 
2025-08-26T20:57:24.7863528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7863866Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7863943Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7864159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7864252Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7864533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7864610Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7864888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7864972Z     self_outputs = self.self(
2025-08-26T20:57:24.7865237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7865359Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7865700Z   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
2025-08-26T20:57:24.7865881Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7866069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7866201Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7866205Z 
2025-08-26T20:57:24.7866306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7866655Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7866737Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7866964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7867050Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7867323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7867405Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7867675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7867746Z     self_outputs = self.self(
2025-08-26T20:57:24.7868023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7868140Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7868485Z   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
2025-08-26T20:57:24.7868617Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7868945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7869045Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7869228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7869332Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7869336Z 
2025-08-26T20:57:24.7869438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7869783Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7869855Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7870067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7870155Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7870441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7870525Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7870790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7870861Z     self_outputs = self.self(
2025-08-26T20:57:24.7871132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7871263Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7871606Z   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
2025-08-26T20:57:24.7871756Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7871759Z 
2025-08-26T20:57:24.7871866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7872203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7872272Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7872505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7872581Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7872854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7872929Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7873201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7873270Z     self_outputs = self.self(
2025-08-26T20:57:24.7873539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7873657Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7873993Z   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
2025-08-26T20:57:24.7874144Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7874149Z 
2025-08-26T20:57:24.7874249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7874587Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7874657Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7874910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7874999Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7875269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7875352Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7875622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7875733Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7876014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7876098Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7876101Z 
2025-08-26T20:57:24.7876210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7876560Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7876639Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7876855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7876935Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7877210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7877299Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7877572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7877681Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7877951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7878043Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7878046Z 
2025-08-26T20:57:24.7878148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7878489Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7878576Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7878796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7878873Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7879141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7879232Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7879482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7879579Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7879845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7879961Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7880223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7880303Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7880306Z 
2025-08-26T20:57:24.7880410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7880757Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7880834Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7881040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7881115Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7881379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7881461Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7881711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7881788Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7882061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7882166Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7882427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7882559Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7882758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7882836Z     return self.act(input)
2025-08-26T20:57:24.7882840Z 
2025-08-26T20:57:24.7882937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7883262Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7883354Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7883566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7883652Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7883924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7884012Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7884260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7884350Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7884620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7884740Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7885006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7885085Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7885088Z 
2025-08-26T20:57:24.7885193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7885516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7885585Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7885796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7885872Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7886136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7886211Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7886469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7886543Z     self_outputs = self.self(
2025-08-26T20:57:24.7886815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7886903Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7886906Z 
2025-08-26T20:57:24.7887003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7887338Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7887406Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7887612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7887694Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7887955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7888036Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7888311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7888379Z     self_outputs = self.self(
2025-08-26T20:57:24.7888652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7888752Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7889076Z   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
2025-08-26T20:57:24.7889274Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7889278Z 
2025-08-26T20:57:24.7889383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7889708Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7889777Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7889990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7890064Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7890351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7890424Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7890696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7890762Z     self_outputs = self.self(
2025-08-26T20:57:24.7891025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7891111Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7891115Z 
2025-08-26T20:57:24.7891213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7891548Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7891618Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7891826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7891908Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7892172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7892251Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7892690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7892773Z     self_outputs = self.self(
2025-08-26T20:57:24.7893060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7893171Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7893606Z   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
2025-08-26T20:57:24.7893770Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7894067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7894147Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7894150Z 
2025-08-26T20:57:24.7894268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7894631Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7894722Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7894963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7895044Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7895324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7895419Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7895701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7895782Z     self_outputs = self.self(
2025-08-26T20:57:24.7896066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7896176Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7896521Z   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
2025-08-26T20:57:24.7896717Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7896737Z 
2025-08-26T20:57:24.7896823Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7896907Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7896999Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7897078Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7897190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7897552Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7897624Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7897857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7897938Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7898232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7898310Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7898594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7898675Z     self_outputs = self.self(
2025-08-26T20:57:24.7898958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7899081Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7899440Z   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
2025-08-26T20:57:24.7899599Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7899924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7900077Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7900090Z 
2025-08-26T20:57:24.7900174Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7900279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7900643Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7900717Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7900950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7901045Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7901331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7901419Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7901700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7901796Z     self_outputs = self.self(
2025-08-26T20:57:24.7902076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7902151Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7902155Z 
2025-08-26T20:57:24.7902269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7902618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7902701Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7902922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7903025Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7903309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7903385Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7903662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7903728Z     self_outputs = self.self(
2025-08-26T20:57:24.7904001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7904079Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7904082Z 
2025-08-26T20:57:24.7904180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7904519Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7904591Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7904808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7904885Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7905162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7905236Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7905518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7905594Z     self_outputs = self.self(
2025-08-26T20:57:24.7905864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7905955Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7905961Z 
2025-08-26T20:57:24.7906063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7906407Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7906479Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7906851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7906939Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7907212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7907334Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7907617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7907690Z     self_outputs = self.self(
2025-08-26T20:57:24.7907984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7908101Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7908473Z   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
2025-08-26T20:57:24.7908644Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7908841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7908943Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7908946Z 
2025-08-26T20:57:24.7909050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7909403Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7909503Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7909721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7909799Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7910068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7910151Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7910420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7910497Z     self_outputs = self.self(
2025-08-26T20:57:24.7910762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7910886Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7911221Z   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
2025-08-26T20:57:24.7911354Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7911669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7911760Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7911973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7912070Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7912074Z 
2025-08-26T20:57:24.7912181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7912510Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7912583Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7912804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7912882Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7913155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7913231Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7913496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7913594Z     self_outputs = self.self(
2025-08-26T20:57:24.7913861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7913981Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7914316Z   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
2025-08-26T20:57:24.7914488Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7914491Z 
2025-08-26T20:57:24.7914591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7914926Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7915006Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7915224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7915310Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7915599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7915681Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7915950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7916020Z     self_outputs = self.self(
2025-08-26T20:57:24.7916291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7916404Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7916747Z   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
2025-08-26T20:57:24.7916893Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7916898Z 
2025-08-26T20:57:24.7916997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7917336Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7917408Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7917627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7917704Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7917994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7918070Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7918337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7918454Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7918724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7918819Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7918822Z 
2025-08-26T20:57:24.7918921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7919263Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7919336Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7919547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7919644Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7919915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7919996Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7920260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7920383Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7920661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7920744Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7920748Z 
2025-08-26T20:57:24.7920857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7921196Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7921273Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7921486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7921579Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7921853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7921937Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7922190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7922266Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7922538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7922653Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7922920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7923009Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7923013Z 
2025-08-26T20:57:24.7923112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7923450Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7923520Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7923730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7923832Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7924100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7924188Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7924438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7924524Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7924793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7924900Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7925175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7925285Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7925497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7925582Z     return self.act(input)
2025-08-26T20:57:24.7925586Z 
2025-08-26T20:57:24.7925689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7926029Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7926104Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7926317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7926409Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7926685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7926766Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7927019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7927108Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7927382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7927525Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7927791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7927874Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7927884Z 
2025-08-26T20:57:24.7927983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7928317Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7928396Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7928607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7928693Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7928962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7929040Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7929313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7929383Z     self_outputs = self.self(
2025-08-26T20:57:24.7929657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7929738Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7929742Z 
2025-08-26T20:57:24.7929874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7930210Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7930280Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7930496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7930575Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7930852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7930928Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7931194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7931271Z     self_outputs = self.self(
2025-08-26T20:57:24.7931537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7931663Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7931988Z   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
2025-08-26T20:57:24.7932174Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7932178Z 
2025-08-26T20:57:24.7932298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7932726Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7932815Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7933043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7933133Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7933418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7933504Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7933810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7933883Z     self_outputs = self.self(
2025-08-26T20:57:24.7934173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7934252Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7934256Z 
2025-08-26T20:57:24.7934366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7934702Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7934774Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7934993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7935071Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7935350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7935425Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7935698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7935766Z     self_outputs = self.self(
2025-08-26T20:57:24.7936032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7936171Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7936498Z   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
2025-08-26T20:57:24.7936657Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7936925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7937001Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7937013Z 
2025-08-26T20:57:24.7937113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7937446Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7937524Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7937738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7937843Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7938114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7938189Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7938469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7938558Z     self_outputs = self.self(
2025-08-26T20:57:24.7938829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7938927Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7939254Z   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
2025-08-26T20:57:24.7939441Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7939444Z 
2025-08-26T20:57:24.7939526Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7939613Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7939690Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7939789Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7939890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7940227Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7940308Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7940521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7940611Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7940892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7940969Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7941256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7941327Z     self_outputs = self.self(
2025-08-26T20:57:24.7941609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7941721Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7942070Z   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
2025-08-26T20:57:24.7942230Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7942551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7942713Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7942716Z 
2025-08-26T20:57:24.7942796Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7942910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7943252Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7943331Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7943549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7943628Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7943914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7943991Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7944293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7944365Z     self_outputs = self.self(
2025-08-26T20:57:24.7944638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7944719Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7944738Z 
2025-08-26T20:57:24.7944841Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7945195Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7945267Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7945493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7945573Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7945846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7945948Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7946222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7946300Z     self_outputs = self.self(
2025-08-26T20:57:24.7946572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7946651Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7946655Z 
2025-08-26T20:57:24.7946766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7947108Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7947189Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7947404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7947492Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7947767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7947844Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7948126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7948197Z     self_outputs = self.self(
2025-08-26T20:57:24.7948493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7948580Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7948584Z 
2025-08-26T20:57:24.7948688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7949038Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7949112Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7949335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7949415Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7949703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7949778Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7950062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7950141Z     self_outputs = self.self(
2025-08-26T20:57:24.7950436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7950562Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7950909Z   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
2025-08-26T20:57:24.7951101Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7951300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7951399Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7951402Z 
2025-08-26T20:57:24.7951514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7951863Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7951942Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7952157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7952255Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7952534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7952612Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7952892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7952962Z     self_outputs = self.self(
2025-08-26T20:57:24.7953242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7953358Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7953698Z   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
2025-08-26T20:57:24.7953841Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7954151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7954250Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7954446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7954541Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7954551Z 
2025-08-26T20:57:24.7954666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7955003Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7955083Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7955294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7955380Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7955648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7955724Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7955999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7956067Z     self_outputs = self.self(
2025-08-26T20:57:24.7956337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7956467Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7956813Z   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
2025-08-26T20:57:24.7956963Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7956967Z 
2025-08-26T20:57:24.7957067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7957427Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7957498Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7957718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7957797Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7958066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7958148Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7958416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7958515Z     self_outputs = self.self(
2025-08-26T20:57:24.7958785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7958911Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7959255Z   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
2025-08-26T20:57:24.7959401Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7959404Z 
2025-08-26T20:57:24.7959514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7959860Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7959937Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7960144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7960226Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7960486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7960558Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7960844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7960953Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7961228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7961311Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7961316Z 
2025-08-26T20:57:24.7961417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7961760Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7961832Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7962051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7962127Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7962404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7962502Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7962771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.7962888Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.7963154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.7963261Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7963264Z 
2025-08-26T20:57:24.7963364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7963700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7963771Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7963981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7964067Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7964333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7964441Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7964689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7964767Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7965047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7965158Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7965435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.7965518Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7965522Z 
2025-08-26T20:57:24.7965629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7965963Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7966036Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7966256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7966332Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7966605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7966701Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7966951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7967037Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7967308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.7967424Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.7967693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.7967812Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.7968016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.7968087Z     return self.act(input)
2025-08-26T20:57:24.7968091Z 
2025-08-26T20:57:24.7968203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7968551Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7968631Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7968844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7968923Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7969205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.7969303Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.7969559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.7969635Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.7969917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.7970039Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.7970307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.7970430Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.7970434Z 
2025-08-26T20:57:24.7970533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7970874Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7970948Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7971171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7971248Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7971518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7971600Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7971867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7971945Z     self_outputs = self.self(
2025-08-26T20:57:24.7972217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.7972297Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.7972301Z 
2025-08-26T20:57:24.7972414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7972906Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7973002Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7973239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7973333Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7973633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7973719Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7974035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7974108Z     self_outputs = self.self(
2025-08-26T20:57:24.7974382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7974483Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7974809Z   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
2025-08-26T20:57:24.7975010Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7975014Z 
2025-08-26T20:57:24.7975117Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7975462Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7975553Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7975772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7975848Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7976117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7976202Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7976469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7976546Z     self_outputs = self.self(
2025-08-26T20:57:24.7976813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.7976916Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.7976920Z 
2025-08-26T20:57:24.7977020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7977356Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7977432Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7977644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7977727Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7977996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7978070Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7978347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7978416Z     self_outputs = self.self(
2025-08-26T20:57:24.7978693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7978795Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7979156Z   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
2025-08-26T20:57:24.7979319Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.7979584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.7979666Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.7979671Z 
2025-08-26T20:57:24.7979772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7980114Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7980188Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7980406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7980484Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7980762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7980846Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7981137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7981217Z     self_outputs = self.self(
2025-08-26T20:57:24.7981494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.7981594Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7981966Z   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
2025-08-26T20:57:24.7982144Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.7982147Z 
2025-08-26T20:57:24.7982237Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7982317Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7982404Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7982482Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7982584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7982930Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7983015Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7983231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7983309Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7983576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7983658Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7983922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7983995Z     self_outputs = self.self(
2025-08-26T20:57:24.7984259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.7984368Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.7984703Z   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
2025-08-26T20:57:24.7984843Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.7985159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.7985324Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.7985328Z 
2025-08-26T20:57:24.7985412Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.7985515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7985847Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7985926Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7986135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7986222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7986490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7986570Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7986837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7986906Z     self_outputs = self.self(
2025-08-26T20:57:24.7987194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.7987266Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.7987271Z 
2025-08-26T20:57:24.7987378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7987718Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7987807Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7988027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7988105Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7988383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7988458Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7988735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7988804Z     self_outputs = self.self(
2025-08-26T20:57:24.7989087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.7989174Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.7989178Z 
2025-08-26T20:57:24.7989279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7989623Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7989693Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7989905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7989991Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7990261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7990346Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7990615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7990693Z     self_outputs = self.self(
2025-08-26T20:57:24.7990961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.7991043Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.7991046Z 
2025-08-26T20:57:24.7991153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7991501Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7991581Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7991795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7991880Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7992151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7992226Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7992506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7992574Z     self_outputs = self.self(
2025-08-26T20:57:24.7992854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7992967Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7993321Z   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
2025-08-26T20:57:24.7993498Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.7993690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7993807Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7993811Z 
2025-08-26T20:57:24.7993908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7994244Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7994314Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7994522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7994605Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7994870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7994965Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7995226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7995295Z     self_outputs = self.self(
2025-08-26T20:57:24.7995558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7995669Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7996001Z   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
2025-08-26T20:57:24.7996131Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.7996433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.7996523Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.7996702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.7996804Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.7996808Z 
2025-08-26T20:57:24.7996905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7997251Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7997322Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7997536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7997610Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.7997874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.7997958Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.7998216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.7998290Z     self_outputs = self.self(
2025-08-26T20:57:24.7998549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.7998657Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.7998992Z   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
2025-08-26T20:57:24.7999148Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.7999152Z 
2025-08-26T20:57:24.7999256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.7999582Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.7999673Z     layer_outputs = layer_module(
2025-08-26T20:57:24.7999878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.7999951Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8000220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8000295Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8000568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8000637Z     self_outputs = self.self(
2025-08-26T20:57:24.8000917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.8001045Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.8001367Z   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
2025-08-26T20:57:24.8001517Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.8001520Z 
2025-08-26T20:57:24.8001617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8001948Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8002018Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8002226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8002302Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8002565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8002647Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8002911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.8003025Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.8003308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.8003392Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8003397Z 
2025-08-26T20:57:24.8003505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8003839Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8003917Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8004129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8004213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8004481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8004555Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8004829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.8004960Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.8005237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.8005323Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8005326Z 
2025-08-26T20:57:24.8005425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8005768Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8005855Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8006077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8006155Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8006435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.8006683Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.8006945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.8007076Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.8007351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.8007469Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.8007738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.8007818Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8007829Z 
2025-08-26T20:57:24.8007932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8008277Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8008356Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8008573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8008663Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8008940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.8009025Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.8009291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.8009372Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.8009719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.8009831Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.8010112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.8010229Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.8010439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.8010522Z     return self.act(input)
2025-08-26T20:57:24.8010525Z 
2025-08-26T20:57:24.8010627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8010976Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8011052Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8011288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8011376Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8011649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.8011743Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.8011997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.8012105Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.8012381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.8012558Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.8012862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.8012950Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8012955Z 
2025-08-26T20:57:24.8013068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8013422Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8013525Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8013753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8013833Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8014132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8014211Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8014501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8014573Z     self_outputs = self.self(
2025-08-26T20:57:24.8014852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-26T20:57:24.8014945Z     query_vectors = self.query(hidden_states)
2025-08-26T20:57:24.8014948Z 
2025-08-26T20:57:24.8015050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8015404Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8015476Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8015702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8015797Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8016075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8016160Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8016438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8016516Z     self_outputs = self.self(
2025-08-26T20:57:24.8016792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.8016896Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.8017237Z   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
2025-08-26T20:57:24.8017421Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.8017424Z 
2025-08-26T20:57:24.8017534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8017902Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8017986Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8018203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8018281Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8018578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8018655Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8018943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8019014Z     self_outputs = self.self(
2025-08-26T20:57:24.8019287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-26T20:57:24.8019373Z     key_vectors = self.key(hidden_states)
2025-08-26T20:57:24.8019377Z 
2025-08-26T20:57:24.8019480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8019848Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8019923Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8020147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8020225Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8020501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8020584Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8020859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8020938Z     self_outputs = self.self(
2025-08-26T20:57:24.8021210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.8021320Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.8021655Z   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
2025-08-26T20:57:24.8021811Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-26T20:57:24.8022113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-26T20:57:24.8022192Z     hidden_states = hidden_states.view(
2025-08-26T20:57:24.8022196Z 
2025-08-26T20:57:24.8022308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8022653Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8022735Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8022953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8023034Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8023318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8023394Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8023677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8023748Z     self_outputs = self.self(
2025-08-26T20:57:24.8024037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-26T20:57:24.8024149Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.8024487Z   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
2025-08-26T20:57:24.8024677Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-26T20:57:24.8024695Z 
2025-08-26T20:57:24.8024779Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.8024868Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.8024947Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.8025025Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.8025136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8025485Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8025565Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8025781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8025878Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8026158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8026235Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8026514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8026583Z     self_outputs = self.self(
2025-08-26T20:57:24.8026854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-26T20:57:24.8026973Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-26T20:57:24.8027306Z   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
2025-08-26T20:57:24.8027466Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-26T20:57:24.8027771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-26T20:57:24.8027923Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-26T20:57:24.8027926Z 
2025-08-26T20:57:24.8028004Z cudagraph partition due to non gpu ops
2025-08-26T20:57:24.8028106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8028469Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8028543Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8028766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8028846Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8029124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8029201Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8029471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8029548Z     self_outputs = self.self(
2025-08-26T20:57:24.8029818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-26T20:57:24.8029898Z     attn_scores += diagonal_mask
2025-08-26T20:57:24.8029901Z 
2025-08-26T20:57:24.8030018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8030353Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8030432Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8030643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8030744Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8031012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8031093Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8031362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8031430Z     self_outputs = self.self(
2025-08-26T20:57:24.8031707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-26T20:57:24.8031787Z     attn_probs = nn.functional.softmax(
2025-08-26T20:57:24.8031804Z 
2025-08-26T20:57:24.8031915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8032254Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8032327Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8032544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8032621Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8032900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8032975Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8033251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8033318Z     self_outputs = self.self(
2025-08-26T20:57:24.8033590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-26T20:57:24.8033679Z     value_vectors = self.value(hidden_states)
2025-08-26T20:57:24.8033684Z 
2025-08-26T20:57:24.8033784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8034125Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8034193Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8034420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8034506Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8034780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8034863Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8035133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8035210Z     self_outputs = self.self(
2025-08-26T20:57:24.8035477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.8035593Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.8035939Z   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
2025-08-26T20:57:24.8036130Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-26T20:57:24.8036327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.8036427Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.8036430Z 
2025-08-26T20:57:24.8036539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8036878Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8036966Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8037186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8037264Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8037539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8037618Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8037885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8037975Z     self_outputs = self.self(
2025-08-26T20:57:24.8038245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.8038368Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.8038707Z   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
2025-08-26T20:57:24.8038850Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-26T20:57:24.8039158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-26T20:57:24.8039252Z     chunked_hidden_states = nn.functional.pad(
2025-08-26T20:57:24.8039447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-26T20:57:24.8039545Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-26T20:57:24.8039549Z 
2025-08-26T20:57:24.8039658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8039996Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8040079Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8040292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8040383Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8040660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8040736Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8041010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8041082Z     self_outputs = self.self(
2025-08-26T20:57:24.8041345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.8041468Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.8041800Z   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
2025-08-26T20:57:24.8041953Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.8041957Z 
2025-08-26T20:57:24.8042058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8042413Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8042486Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8042699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8042783Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8043069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8043149Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8043416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-26T20:57:24.8043486Z     self_outputs = self.self(
2025-08-26T20:57:24.8043758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-26T20:57:24.8043870Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-26T20:57:24.8044212Z   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
2025-08-26T20:57:24.8044374Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-26T20:57:24.8044380Z 
2025-08-26T20:57:24.8044486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8044824Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8044894Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8045118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8045196Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8045473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8045550Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8045829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.8045939Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.8046216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.8046310Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8046313Z 
2025-08-26T20:57:24.8046432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8046793Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8046862Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8047081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8047160Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8047436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-26T20:57:24.8047521Z     self_attn_outputs = self.attention(
2025-08-26T20:57:24.8047797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-26T20:57:24.8047914Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:57:24.8048193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-26T20:57:24.8048300Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8048303Z 
2025-08-26T20:57:24.8048415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8048755Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8048858Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8049074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8049173Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8049448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.8049533Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.8049796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.8049876Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.8050162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.8050300Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.8050576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1160, in forward
2025-08-26T20:57:24.8050667Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8050670Z 
2025-08-26T20:57:24.8050772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8051123Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8051196Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8051420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8051498Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8051775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.8051866Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.8052123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.8052209Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.8052558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-26T20:57:24.8052678Z     intermediate_output = self.intermediate(attn_output)
2025-08-26T20:57:24.8052986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-26T20:57:24.8053106Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:57:24.8053332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:57:24.8053410Z     return self.act(input)
2025-08-26T20:57:24.8053414Z 
2025-08-26T20:57:24.8053527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:57:24.8053889Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-26T20:57:24.8053965Z     layer_outputs = layer_module(
2025-08-26T20:57:24.8054191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:57:24.8054271Z     return super().__call__(*args, **kwargs)
2025-08-26T20:57:24.8054557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-26T20:57:24.8054655Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:57:24.8054924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:57:24.8055005Z     return forward_fn(*input_tensors)
2025-08-26T20:57:24.8055285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1219, in ff_chunk
2025-08-26T20:57:24.8055431Z     layer_output = self.output(intermediate_output, attn_output)
2025-08-26T20:57:24.8055708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1174, in forward
2025-08-26T20:57:24.8055799Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:57:24.8055802Z 
2025-08-26T20:58:22.1741270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:22.1742162Z    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
2025-08-26T20:58:22.1745326Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T20:58:22.1745877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1333, in forward
2025-08-26T20:58:22.1751133Z     x = self.dense(features)
2025-08-26T20:58:22.1756390Z 
2025-08-26T20:58:22.1760531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:22.1762927Z    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
2025-08-26T20:58:22.1763475Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T20:58:22.1763946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1338, in forward
2025-08-26T20:58:22.1764373Z     x = self.decoder(x)
2025-08-26T20:58:22.1764490Z 
2025-08-26T20:58:23.9416118Z Compilation time (from dynamo_timed): 87.410089995
2025-08-26T20:58:23.9843073Z pass
2025-08-26T20:58:23.9843496Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:23.9847256Z TIMING: gc:0.00791 entire_frame_compile:87.41009 _recursive_pre_grad_passes:0.02025 _recursive_joint_graph_passes:0.919 _recursive_post_grad_passes:1.65694 async_compile.wait:3.01888 code_gen:66.42785 inductor_compile:73.16548 backend_compile:82.29745 total_wall_time:87.41009
2025-08-26T20:58:23.9848275Z STATS: call_* op count: 1783 | FakeTensorMode.__torch_dispatch__:57769 | FakeTensor.__torch_dispatch__:16283 | ProxyTorchDispatchMode.__torch_dispatch__:17764
2025-08-26T20:58:23.9849040Z Dynamo produced 4 graphs covering 1783 ops with 4 graph breaks (1 unique)
2025-08-26T20:58:28.9568205Z 
2025-08-26T20:58:30.2450688Z 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)`.
2025-08-26T20:58:30.2452042Z 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)`.
2025-08-26T20:58:30.5802872Z 
2025-08-26T20:58:30.5803775Z loading model: 0it [00:01, ?it/s]
2025-08-26T20:58:30.5810412Z cpu  eval  hf_Reformer                        
2025-08-26T20:58:32.3884733Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:32.9734518Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:33.5502269Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:35.3828101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.3828938Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward
2025-08-26T20:58:35.3829627Z     least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config)
2025-08-26T20:58:35.3830270Z   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
2025-08-26T20:58:35.3832325Z     return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length)
2025-08-26T20:58:35.3832608Z 
2025-08-26T20:58:35.3832733Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:35.3833235Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward
2025-08-26T20:58:35.3833735Z     input_shape[-1] % least_common_mult_chunk_length != 0
2025-08-26T20:58:35.3833915Z 
2025-08-26T20:58:40.9812164Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting:
2025-08-26T20:58:40.9813438Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-26T20:58:40.9821781Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or:
2025-08-26T20:58:40.9822347Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-26T20:58:40.9822883Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph.
2025-08-26T20:58:40.9823354Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-26T20:58:40.9823788Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at:
2025-08-26T20:58:40.9824581Z W0826 20:58:40.979292 24009 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
2025-08-26T20:58:40.9825383Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     embedding_output = self.embeddings(
2025-08-26T20:58:40.9826090Z W0826 20:58:40.979292 24009 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
2025-08-26T20:58:40.9826955Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     position_embeddings = self.position_embeddings(position_ids)
2025-08-26T20:58:40.9827709Z W0826 20:58:40.979292 24009 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
2025-08-26T20:58:40.9828427Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     max_position_id = position_ids.max().item()
2025-08-26T20:58:40.9828881Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-26T20:58:40.9829256Z W0826 20:58:40.979292 24009 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-26T20:58:41.1346454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:41.1348603Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward
2025-08-26T20:58:41.1349321Z     position_ids = torch.arange(
2025-08-26T20:58:41.1353006Z 
2025-08-26T20:58:41.1355242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:41.1356349Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward
2025-08-26T20:58:41.1361297Z     inputs_embeds = self.word_embeddings(input_ids)
2025-08-26T20:58:41.1363237Z 
2025-08-26T20:58:42.1666128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:42.1666817Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward
2025-08-26T20:58:42.1672028Z     max_position_id = position_ids.max().item()
2025-08-26T20:58:42.1676615Z 
2025-08-26T20:58:42.9308277Z cudagraph partition due to non gpu ops
2025-08-26T20:58:42.9308611Z cudagraph partition due to non gpu ops
2025-08-26T20:58:42.9308900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:42.9309514Z    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
2025-08-26T20:58:42.9309995Z     position_encodings = torch.cat(
2025-08-26T20:58:42.9310128Z 
2025-08-26T20:58:42.9310241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:42.9310726Z    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
2025-08-26T20:58:42.9311518Z     position_encodings = torch.cat(
2025-08-26T20:58:42.9311662Z 
2025-08-26T20:58:43.6942616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:43.6947481Z    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
2025-08-26T20:58:43.6949268Z     embeddings = embeddings + position_embeddings
2025-08-26T20:58:43.6954106Z 
2025-08-26T20:58:48.7768995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7769868Z    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
2025-08-26T20:58:48.7770419Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7771048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7771711Z     layer_outputs = layer(
2025-08-26T20:58:48.7772126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7772690Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7773178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7773656Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7774445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7774950Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7775446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T20:58:48.7776002Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T20:58:48.7776273Z 
2025-08-26T20:58:48.7776394Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7776915Z    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
2025-08-26T20:58:48.7777425Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7777852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7778287Z     layer_outputs = layer(
2025-08-26T20:58:48.7778735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7779145Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7779547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7779986Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7780476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7781008Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7781631Z   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
2025-08-26T20:58:48.7782194Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-26T20:58:48.7782380Z 
2025-08-26T20:58:48.7782494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7783046Z    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
2025-08-26T20:58:48.7783650Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7784114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7784555Z     layer_outputs = layer(
2025-08-26T20:58:48.7784947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7785367Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7785782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7786223Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7786646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7787174Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7787790Z   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
2025-08-26T20:58:48.7788338Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-26T20:58:48.7788523Z 
2025-08-26T20:58:48.7788635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7789155Z    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
2025-08-26T20:58:48.7789639Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7790067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7790464Z     layer_outputs = layer(
2025-08-26T20:58:48.7790850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7791246Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7791648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7792068Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7792489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7792962Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7793464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T20:58:48.7793993Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T20:58:48.7794241Z 
2025-08-26T20:58:48.7794349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7794845Z    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
2025-08-26T20:58:48.7795352Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7795776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7796171Z     layer_outputs = layer(
2025-08-26T20:58:48.7796561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7796971Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7797377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7797814Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7798231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7798733Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7799337Z   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
2025-08-26T20:58:48.7799890Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-26T20:58:48.7800066Z 
2025-08-26T20:58:48.7800179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7800671Z    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
2025-08-26T20:58:48.7801152Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7801569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7801968Z     layer_outputs = layer(
2025-08-26T20:58:48.7802341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7802748Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7803139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7803577Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7803996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7804506Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7805109Z   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
2025-08-26T20:58:48.7805646Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-26T20:58:48.7805839Z 
2025-08-26T20:58:48.7805945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7806441Z    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
2025-08-26T20:58:48.7807148Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7807591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7808037Z     layer_outputs = layer(
2025-08-26T20:58:48.7808429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7808848Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7809248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7809713Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7810143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7810625Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7811128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T20:58:48.7811667Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T20:58:48.7811935Z 
2025-08-26T20:58:48.7812048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7812699Z    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
2025-08-26T20:58:48.7813305Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7813782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7814188Z     layer_outputs = layer(
2025-08-26T20:58:48.7814587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7815008Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7815421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7815861Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7816339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7816863Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7817475Z   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
2025-08-26T20:58:48.7818021Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-26T20:58:48.7818203Z 
2025-08-26T20:58:48.7818319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7818857Z    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
2025-08-26T20:58:48.7819365Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7819800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7820207Z     layer_outputs = layer(
2025-08-26T20:58:48.7820596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7821000Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7821413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7821854Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7822289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7822850Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7823525Z   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
2025-08-26T20:58:48.7824785Z     torch.arange(sorted_bucket_idx.shape[-1], device=buckets.device)
2025-08-26T20:58:48.7825042Z 
2025-08-26T20:58:48.7825204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7825983Z    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
2025-08-26T20:58:48.7826530Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7826983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7827516Z     layer_outputs = layer(
2025-08-26T20:58:48.7827914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7828330Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7828739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7829192Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7829619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-26T20:58:48.7830038Z     query_vectors = self.query(hidden_states)
2025-08-26T20:58:48.7830183Z 
2025-08-26T20:58:48.7830304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7830813Z    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
2025-08-26T20:58:48.7831308Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7831734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7832143Z     layer_outputs = layer(
2025-08-26T20:58:48.7832506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7832932Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7833311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7833727Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7834124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-26T20:58:48.7835214Z     key_vectors = self.key(hidden_states)
2025-08-26T20:58:48.7835360Z 
2025-08-26T20:58:48.7835452Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7835662Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7835910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7836387Z    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
2025-08-26T20:58:48.7836848Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7837237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7837618Z     layer_outputs = layer(
2025-08-26T20:58:48.7837983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7838363Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7838741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7839155Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7839556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T20:58:48.7840043Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7840547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.7841035Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.7841231Z 
2025-08-26T20:58:48.7841307Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7841511Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7841738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7842210Z    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
2025-08-26T20:58:48.7842663Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7843054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7843446Z     layer_outputs = layer(
2025-08-26T20:58:48.7843806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7844188Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7844562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7845001Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7845411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T20:58:48.7845929Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7846447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.7846861Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.7846990Z 
2025-08-26T20:58:48.7847095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7847586Z    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
2025-08-26T20:58:48.7848082Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7848505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7848922Z     layer_outputs = layer(
2025-08-26T20:58:48.7849302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7849710Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7850114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7850544Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7850965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T20:58:48.7851451Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.7851668Z 
2025-08-26T20:58:48.7851779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7852301Z    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
2025-08-26T20:58:48.7852932Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7853437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7853916Z     layer_outputs = layer(
2025-08-26T20:58:48.7854348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7854785Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7855227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7855678Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7856101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T20:58:48.7856591Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.7856805Z 
2025-08-26T20:58:48.7856913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7857426Z    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
2025-08-26T20:58:48.7857949Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7858374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7858788Z     layer_outputs = layer(
2025-08-26T20:58:48.7859181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7859598Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7860019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7860434Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7860853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-26T20:58:48.7861267Z     value_vectors = self.value(hidden_states)
2025-08-26T20:58:48.7861409Z 
2025-08-26T20:58:48.7861498Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7861709Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7861950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7862452Z    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
2025-08-26T20:58:48.7862963Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7863390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7863897Z     layer_outputs = layer(
2025-08-26T20:58:48.7864311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7864725Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7865134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7865615Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7866039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-26T20:58:48.7866575Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7867125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.7867631Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.7867835Z 
2025-08-26T20:58:48.7867924Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7868155Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7868399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7868903Z    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
2025-08-26T20:58:48.7869389Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7869801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7870217Z     layer_outputs = layer(
2025-08-26T20:58:48.7870599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7871003Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7871399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7871814Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7872239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T20:58:48.7872701Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.7872871Z 
2025-08-26T20:58:48.7872985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7873485Z    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
2025-08-26T20:58:48.7873974Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7874397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7874793Z     layer_outputs = layer(
2025-08-26T20:58:48.7875180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7875583Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7875971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7876395Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7876815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T20:58:48.7877257Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.7877427Z 
2025-08-26T20:58:48.7877539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7878045Z    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
2025-08-26T20:58:48.7878545Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7878951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7879341Z     layer_outputs = layer(
2025-08-26T20:58:48.7879706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7880100Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7880484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7880897Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7881300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-26T20:58:48.7881817Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T20:58:48.7882409Z   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
2025-08-26T20:58:48.7882910Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T20:58:48.7883109Z 
2025-08-26T20:58:48.7883214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7883695Z    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
2025-08-26T20:58:48.7884435Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7884834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7885222Z     layer_outputs = layer(
2025-08-26T20:58:48.7885593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7885987Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7886368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T20:58:48.7886843Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T20:58:48.7887305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T20:58:48.7887707Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.7887843Z 
2025-08-26T20:58:48.7887953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7888424Z    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
2025-08-26T20:58:48.7888898Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7889301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7889686Z     layer_outputs = layer(
2025-08-26T20:58:48.7890051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.7890496Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.7890944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.7891351Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.7891749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.7892141Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.7892693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.7893156Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.7893615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T20:58:48.7894066Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.7894220Z 
2025-08-26T20:58:48.7894343Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7894854Z    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
2025-08-26T20:58:48.7895341Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7895759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7896164Z     layer_outputs = layer(
2025-08-26T20:58:48.7896565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.7897012Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.7897514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.7897928Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.7898331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.7898768Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.7899179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.7899612Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.7900028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T20:58:48.7900465Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T20:58:48.7900606Z 
2025-08-26T20:58:48.7900718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7901208Z    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
2025-08-26T20:58:48.7901714Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7902132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7902529Z     layer_outputs = layer(
2025-08-26T20:58:48.7902912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.7903359Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.7903816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.7904221Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.7904614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.7905010Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.7905416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T20:58:48.7905847Z     return self.output(hidden_states)
2025-08-26T20:58:48.7906250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T20:58:48.7906836Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.7906987Z 
2025-08-26T20:58:48.7907206Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7907704Z    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
2025-08-26T20:58:48.7908197Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7908616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7909015Z     layer_outputs = layer(
2025-08-26T20:58:48.7909400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7909797Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7910195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7910612Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7911035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-26T20:58:48.7911485Z     query_key_vectors = self.query_key(hidden_states)
2025-08-26T20:58:48.7911647Z 
2025-08-26T20:58:48.7911751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7912246Z    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
2025-08-26T20:58:48.7912728Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7913160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7913533Z     layer_outputs = layer(
2025-08-26T20:58:48.7913898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7914286Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7914669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7915073Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7915473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7915946Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7916410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T20:58:48.7916919Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T20:58:48.7917153Z 
2025-08-26T20:58:48.7917264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7917738Z    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
2025-08-26T20:58:48.7918201Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7918598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7918989Z     layer_outputs = layer(
2025-08-26T20:58:48.7919354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7919729Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7920108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7920506Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7920915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7921359Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7921812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-26T20:58:48.7922280Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-26T20:58:48.7922486Z 
2025-08-26T20:58:48.7922586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7923058Z    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
2025-08-26T20:58:48.7923521Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7923909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7924284Z     layer_outputs = layer(
2025-08-26T20:58:48.7924646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7925047Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7925428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7925827Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7926225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7926699Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7927161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-26T20:58:48.7927622Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-26T20:58:48.7927808Z 
2025-08-26T20:58:48.7927912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7928388Z    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
2025-08-26T20:58:48.7928852Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7929249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7929643Z     layer_outputs = layer(
2025-08-26T20:58:48.7929997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7930376Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7930757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7931161Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7931554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.7932000Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.7932559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-26T20:58:48.7933069Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-26T20:58:48.7933236Z 
2025-08-26T20:58:48.7933361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7933908Z    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
2025-08-26T20:58:48.7934411Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7934898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7935347Z     layer_outputs = layer(
2025-08-26T20:58:48.7935769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7936211Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7936653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7937118Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7937573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7938145Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7938803Z   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
2025-08-26T20:58:48.7939374Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T20:58:48.7939886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-26T20:58:48.7940395Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-26T20:58:48.7940598Z 
2025-08-26T20:58:48.7940686Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7940920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7941423Z    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
2025-08-26T20:58:48.7941896Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7942303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7942691Z     layer_outputs = layer(
2025-08-26T20:58:48.7943056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7943449Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7943835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7944262Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7944665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.7945159Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.7945760Z   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
2025-08-26T20:58:48.7946269Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T20:58:48.7946712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-26T20:58:48.7947141Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-26T20:58:48.7947283Z 
2025-08-26T20:58:48.7947366Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7947580Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7947813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7948298Z    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
2025-08-26T20:58:48.7948769Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7949164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7949563Z     layer_outputs = layer(
2025-08-26T20:58:48.7949941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7950332Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7950711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7951123Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7951525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7951950Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.7952366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T20:58:48.7952875Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7953422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.7953907Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.7954105Z 
2025-08-26T20:58:48.7954194Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7954410Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7954639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7955124Z    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
2025-08-26T20:58:48.7955644Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7956041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7956416Z     layer_outputs = layer(
2025-08-26T20:58:48.7956774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7957153Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7957525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7957947Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7958340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7958755Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.7959163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T20:58:48.7959664Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7960184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.7960589Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.7960714Z 
2025-08-26T20:58:48.7960793Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7961025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7961501Z    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
2025-08-26T20:58:48.7961971Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7962364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7962743Z     layer_outputs = layer(
2025-08-26T20:58:48.7963121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7963510Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7963888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7964280Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7964680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-26T20:58:48.7965072Z     value_vectors = self.value(hidden_states)
2025-08-26T20:58:48.7965210Z 
2025-08-26T20:58:48.7965319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7965790Z    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
2025-08-26T20:58:48.7966249Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7966652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7967031Z     layer_outputs = layer(
2025-08-26T20:58:48.7967461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7967853Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7968236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7968646Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7969072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7969488Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.7969898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T20:58:48.7970389Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7970910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.7971403Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.7971623Z 
2025-08-26T20:58:48.7971715Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7971952Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7972451Z    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
2025-08-26T20:58:48.7973023Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7973464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7973880Z     layer_outputs = layer(
2025-08-26T20:58:48.7974268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7974690Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7975099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7975518Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7975930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7976357Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.7976776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T20:58:48.7977283Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7977793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.7978203Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.7978332Z 
2025-08-26T20:58:48.7978435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7978921Z    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
2025-08-26T20:58:48.7979397Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7979804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7980190Z     layer_outputs = layer(
2025-08-26T20:58:48.7980557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7980950Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7981348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7981765Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7982173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-26T20:58:48.7982684Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-26T20:58:48.7983253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-26T20:58:48.7983705Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-26T20:58:48.7983851Z 
2025-08-26T20:58:48.7983964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7984445Z    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
2025-08-26T20:58:48.7984913Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7985322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7985752Z     layer_outputs = layer(
2025-08-26T20:58:48.7986123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7986515Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7986893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7987307Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7987716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7988136Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.7988543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-26T20:58:48.7989003Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.7989211Z 
2025-08-26T20:58:48.7989317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7989799Z    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
2025-08-26T20:58:48.7990271Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7990673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7991083Z     layer_outputs = layer(
2025-08-26T20:58:48.7991460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7991844Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7992228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7992624Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7993022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7993437Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.7993839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-26T20:58:48.7994325Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.7994831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.7995317Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.7995520Z 
2025-08-26T20:58:48.7995599Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.7995834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.7996306Z    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
2025-08-26T20:58:48.7996779Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.7997178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.7997554Z     layer_outputs = layer(
2025-08-26T20:58:48.7997918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.7998300Z     attn_outputs = self.attention(
2025-08-26T20:58:48.7998670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.7999071Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.7999501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.7999908Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8000319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T20:58:48.8000731Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8000901Z 
2025-08-26T20:58:48.8001002Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8001474Z    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
2025-08-26T20:58:48.8001937Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8002338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8002709Z     layer_outputs = layer(
2025-08-26T20:58:48.8003070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8003453Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8003831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8004227Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8004642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8005046Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8005451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T20:58:48.8005866Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8006028Z 
2025-08-26T20:58:48.8006107Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8006339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8006950Z    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
2025-08-26T20:58:48.8007415Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8007816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8008192Z     layer_outputs = layer(
2025-08-26T20:58:48.8008612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8009010Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8009389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8009795Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8010196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-26T20:58:48.8010757Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T20:58:48.8011327Z   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
2025-08-26T20:58:48.8011841Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T20:58:48.8012036Z 
2025-08-26T20:58:48.8012151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8012686Z    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
2025-08-26T20:58:48.8013212Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8013636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8014042Z     layer_outputs = layer(
2025-08-26T20:58:48.8014428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8014829Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8015291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T20:58:48.8015756Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T20:58:48.8016217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T20:58:48.8016617Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8016765Z 
2025-08-26T20:58:48.8016870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8017359Z    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
2025-08-26T20:58:48.8017841Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8018248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8018633Z     layer_outputs = layer(
2025-08-26T20:58:48.8019032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8019481Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8019922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8020321Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8020702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8021092Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8021501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8021923Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8022328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T20:58:48.8022747Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8022888Z 
2025-08-26T20:58:48.8023006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8023490Z    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
2025-08-26T20:58:48.8023963Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8024365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8024772Z     layer_outputs = layer(
2025-08-26T20:58:48.8025148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8025595Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8026038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8026436Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8026816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8027200Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8027654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8028077Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8028472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T20:58:48.8028881Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T20:58:48.8029023Z 
2025-08-26T20:58:48.8029127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8029620Z    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
2025-08-26T20:58:48.8030099Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8030499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8030898Z     layer_outputs = layer(
2025-08-26T20:58:48.8031260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8031687Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8032119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8032498Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8032885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8033258Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8033655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T20:58:48.8034056Z     return self.output(hidden_states)
2025-08-26T20:58:48.8034429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T20:58:48.8034821Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8034961Z 
2025-08-26T20:58:48.8035062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8035535Z    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
2025-08-26T20:58:48.8035990Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8036378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8036774Z     layer_outputs = layer(
2025-08-26T20:58:48.8037141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8037529Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8037900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8038328Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8038728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-26T20:58:48.8039116Z     query_vectors = self.query(hidden_states)
2025-08-26T20:58:48.8039245Z 
2025-08-26T20:58:48.8039352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8039816Z    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
2025-08-26T20:58:48.8040272Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8040668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8041062Z     layer_outputs = layer(
2025-08-26T20:58:48.8041424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8041803Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8042181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8042577Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8042979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-26T20:58:48.8043368Z     key_vectors = self.key(hidden_states)
2025-08-26T20:58:48.8043497Z 
2025-08-26T20:58:48.8043577Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8043783Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8044014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8044493Z    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
2025-08-26T20:58:48.8044960Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8045351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8045733Z     layer_outputs = layer(
2025-08-26T20:58:48.8046117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8046506Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8046880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8047283Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8047686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T20:58:48.8048177Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8048682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8049146Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8049348Z 
2025-08-26T20:58:48.8049426Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8049636Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8049866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8050369Z    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
2025-08-26T20:58:48.8050828Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8051232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8051610Z     layer_outputs = layer(
2025-08-26T20:58:48.8051992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8052381Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8052853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8053331Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8053805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T20:58:48.8054349Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8054914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.8055393Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.8055549Z 
2025-08-26T20:58:48.8055666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8056227Z    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
2025-08-26T20:58:48.8056770Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8057227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8057667Z     layer_outputs = layer(
2025-08-26T20:58:48.8058087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8058528Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8058960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8059413Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8059886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T20:58:48.8060404Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.8060635Z 
2025-08-26T20:58:48.8060775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8061307Z    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
2025-08-26T20:58:48.8061776Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8062186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8062603Z     layer_outputs = layer(
2025-08-26T20:58:48.8062974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8063368Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8063750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8064165Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8064572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T20:58:48.8065058Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.8065260Z 
2025-08-26T20:58:48.8065373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8065854Z    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
2025-08-26T20:58:48.8066329Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8066768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8067160Z     layer_outputs = layer(
2025-08-26T20:58:48.8067536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8067925Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8068315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8068730Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8069138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-26T20:58:48.8069563Z     value_vectors = self.value(hidden_states)
2025-08-26T20:58:48.8069699Z 
2025-08-26T20:58:48.8069781Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8069996Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8070228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8070715Z    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
2025-08-26T20:58:48.8071180Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8071591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8071980Z     layer_outputs = layer(
2025-08-26T20:58:48.8072347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8072739Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8073116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8073529Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8073934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-26T20:58:48.8074438Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8074971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8075444Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8075650Z 
2025-08-26T20:58:48.8075728Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8075937Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8076170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8076645Z    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
2025-08-26T20:58:48.8077106Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8077503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8077877Z     layer_outputs = layer(
2025-08-26T20:58:48.8078241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8078613Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8079005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8079405Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8079804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T20:58:48.8080225Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8080406Z 
2025-08-26T20:58:48.8080505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8080974Z    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
2025-08-26T20:58:48.8081435Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8081832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8082209Z     layer_outputs = layer(
2025-08-26T20:58:48.8082563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8082964Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8083341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8083738Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8084134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T20:58:48.8084548Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8084717Z 
2025-08-26T20:58:48.8084819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8085288Z    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
2025-08-26T20:58:48.8085751Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8086146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8086518Z     layer_outputs = layer(
2025-08-26T20:58:48.8086876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8087257Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8087631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8088023Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8088433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-26T20:58:48.8088944Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T20:58:48.8089488Z   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
2025-08-26T20:58:48.8089977Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T20:58:48.8090162Z 
2025-08-26T20:58:48.8090272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8090740Z    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
2025-08-26T20:58:48.8091205Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8091610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8091996Z     layer_outputs = layer(
2025-08-26T20:58:48.8092390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8092854Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8093263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T20:58:48.8093778Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T20:58:48.8094380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T20:58:48.8094784Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8094936Z 
2025-08-26T20:58:48.8095042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8095537Z    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
2025-08-26T20:58:48.8096020Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8096436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8096838Z     layer_outputs = layer(
2025-08-26T20:58:48.8097207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8097645Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8098077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8098469Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8098844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8099228Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8099632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8100049Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8100449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T20:58:48.8100840Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8100983Z 
2025-08-26T20:58:48.8101086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8101571Z    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
2025-08-26T20:58:48.8102038Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8102458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8102843Z     layer_outputs = layer(
2025-08-26T20:58:48.8103216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8103656Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8104095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8104483Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8104864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8105252Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8105649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8106059Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8106452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T20:58:48.8107027Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T20:58:48.8107179Z 
2025-08-26T20:58:48.8107281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8107764Z    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
2025-08-26T20:58:48.8108273Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8108659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8109034Z     layer_outputs = layer(
2025-08-26T20:58:48.8109395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8109824Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8110250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8110662Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8111034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8111409Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8111804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T20:58:48.8112204Z     return self.output(hidden_states)
2025-08-26T20:58:48.8112579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T20:58:48.8112976Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8113116Z 
2025-08-26T20:58:48.8113218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8113694Z    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
2025-08-26T20:58:48.8114158Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8114546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8114927Z     layer_outputs = layer(
2025-08-26T20:58:48.8115290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8115672Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8116067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8116469Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8116872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-26T20:58:48.8117273Z     query_key_vectors = self.query_key(hidden_states)
2025-08-26T20:58:48.8117421Z 
2025-08-26T20:58:48.8117527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8117991Z    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
2025-08-26T20:58:48.8118452Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8118847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8119223Z     layer_outputs = layer(
2025-08-26T20:58:48.8119585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8119988Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8120363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8120764Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8121161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8121630Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8122089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T20:58:48.8122596Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T20:58:48.8122835Z 
2025-08-26T20:58:48.8122937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8123415Z    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
2025-08-26T20:58:48.8123872Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8124261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8124657Z     layer_outputs = layer(
2025-08-26T20:58:48.8125025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8125410Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8125786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8126180Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8126582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8127025Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8127486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-26T20:58:48.8127953Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-26T20:58:48.8128148Z 
2025-08-26T20:58:48.8128250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8128726Z    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
2025-08-26T20:58:48.8129188Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8129607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8129987Z     layer_outputs = layer(
2025-08-26T20:58:48.8130342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8130726Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8131100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8131497Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8131883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8132325Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8132875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-26T20:58:48.8133378Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-26T20:58:48.8133583Z 
2025-08-26T20:58:48.8133718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8134225Z    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
2025-08-26T20:58:48.8134721Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8135131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8135562Z     layer_outputs = layer(
2025-08-26T20:58:48.8135954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8136360Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8136767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8137200Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8137631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8138113Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8138624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-26T20:58:48.8139081Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-26T20:58:48.8139246Z 
2025-08-26T20:58:48.8139354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8139865Z    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
2025-08-26T20:58:48.8140365Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8140788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8141199Z     layer_outputs = layer(
2025-08-26T20:58:48.8141596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8142014Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8142424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8142853Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8143283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.8143769Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.8144367Z   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
2025-08-26T20:58:48.8144863Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T20:58:48.8145282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-26T20:58:48.8145758Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-26T20:58:48.8145966Z 
2025-08-26T20:58:48.8146052Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8146294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8146790Z    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
2025-08-26T20:58:48.8147249Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8147657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8148059Z     layer_outputs = layer(
2025-08-26T20:58:48.8148423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8148808Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8149178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8149598Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8149992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.8150478Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.8151045Z   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
2025-08-26T20:58:48.8151529Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T20:58:48.8151953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-26T20:58:48.8152386Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-26T20:58:48.8152526Z 
2025-08-26T20:58:48.8152610Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8152814Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8153042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8153512Z    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
2025-08-26T20:58:48.8153974Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8154373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8154746Z     layer_outputs = layer(
2025-08-26T20:58:48.8155108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8155490Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8155868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8156271Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8156661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8157069Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8157494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T20:58:48.8158003Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8158527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8158991Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8159195Z 
2025-08-26T20:58:48.8159273Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8159481Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8159716Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8160192Z    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
2025-08-26T20:58:48.8160648Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8161047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8161446Z     layer_outputs = layer(
2025-08-26T20:58:48.8161815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8162190Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8162571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8162967Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8163386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8163798Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8164197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T20:58:48.8164701Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8165222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.8165624Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.8165765Z 
2025-08-26T20:58:48.8165847Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8166068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8166541Z    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
2025-08-26T20:58:48.8167006Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8167403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8167779Z     layer_outputs = layer(
2025-08-26T20:58:48.8168138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8168521Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8168896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8169297Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8169692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-26T20:58:48.8170075Z     value_vectors = self.value(hidden_states)
2025-08-26T20:58:48.8170214Z 
2025-08-26T20:58:48.8170314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8170803Z    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
2025-08-26T20:58:48.8171268Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8171662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8172032Z     layer_outputs = layer(
2025-08-26T20:58:48.8172391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8172886Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8173307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8173741Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8174157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8174571Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8175011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T20:58:48.8175542Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8176073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8176580Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8176818Z 
2025-08-26T20:58:48.8176903Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8177151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8177661Z    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
2025-08-26T20:58:48.8178157Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8178592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8179002Z     layer_outputs = layer(
2025-08-26T20:58:48.8179389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8179823Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8180222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8180662Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8181090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8181533Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8181972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T20:58:48.8182483Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8183021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.8183445Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.8183571Z 
2025-08-26T20:58:48.8183678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8184154Z    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
2025-08-26T20:58:48.8184613Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8185012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8185437Z     layer_outputs = layer(
2025-08-26T20:58:48.8185801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8186190Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8186568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8186975Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8187382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-26T20:58:48.8187892Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-26T20:58:48.8188425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-26T20:58:48.8188872Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-26T20:58:48.8189027Z 
2025-08-26T20:58:48.8189132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8189623Z    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
2025-08-26T20:58:48.8190086Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8190475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8190846Z     layer_outputs = layer(
2025-08-26T20:58:48.8191222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8191601Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8191975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8192369Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8192770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8193177Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8193584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-26T20:58:48.8194064Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.8194259Z 
2025-08-26T20:58:48.8194360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8194835Z    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
2025-08-26T20:58:48.8195298Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8195698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8196072Z     layer_outputs = layer(
2025-08-26T20:58:48.8196430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8196815Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8197192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8197594Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8197994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8198396Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8198821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-26T20:58:48.8199314Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8199822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8200290Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8200491Z 
2025-08-26T20:58:48.8200570Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8200679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8200998Z    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
2025-08-26T20:58:48.8201091Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8201349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8201416Z     layer_outputs = layer(
2025-08-26T20:58:48.8201691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8201764Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8202019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8202108Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8202364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8202484Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8202734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T20:58:48.8202855Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8202859Z 
2025-08-26T20:58:48.8202960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8203286Z    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
2025-08-26T20:58:48.8203375Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8203650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8203715Z     layer_outputs = layer(
2025-08-26T20:58:48.8203965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8204044Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8204294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8204391Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8204641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8204738Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8204994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T20:58:48.8205104Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8205107Z 
2025-08-26T20:58:48.8205197Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8205295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8205618Z    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
2025-08-26T20:58:48.8205705Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8205973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8206049Z     layer_outputs = layer(
2025-08-26T20:58:48.8206303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8206380Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8206745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8206843Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8207101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-26T20:58:48.8207297Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T20:58:48.8207599Z   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
2025-08-26T20:58:48.8207785Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T20:58:48.8207789Z 
2025-08-26T20:58:48.8207896Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8208210Z    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
2025-08-26T20:58:48.8208298Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8208586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8208651Z     layer_outputs = layer(
2025-08-26T20:58:48.8208912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8208986Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8209247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T20:58:48.8209382Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T20:58:48.8209635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T20:58:48.8209755Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8209758Z 
2025-08-26T20:58:48.8209859Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8210185Z    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
2025-08-26T20:58:48.8210270Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8210523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8210596Z     layer_outputs = layer(
2025-08-26T20:58:48.8210847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward
2025-08-26T20:58:48.8210941Z     attn_output = prev_attn_output + attn_output
2025-08-26T20:58:48.8210946Z 
2025-08-26T20:58:48.8211044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8211366Z    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
2025-08-26T20:58:48.8211455Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8211705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8211779Z     layer_outputs = layer(
2025-08-26T20:58:48.8212054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8212185Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8212436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8212564Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8212822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8212900Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8213179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8213262Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8213524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T20:58:48.8213605Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8213609Z 
2025-08-26T20:58:48.8213723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8214054Z    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
2025-08-26T20:58:48.8214143Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8214409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8214498Z     layer_outputs = layer(
2025-08-26T20:58:48.8214775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8214901Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8215172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8215263Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8215523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8215609Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8215902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8215984Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8216297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T20:58:48.8216376Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T20:58:48.8216379Z 
2025-08-26T20:58:48.8216484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8216802Z    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
2025-08-26T20:58:48.8216898Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8217157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8217226Z     layer_outputs = layer(
2025-08-26T20:58:48.8217493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8217616Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8217883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8217958Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8218221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8218304Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8218580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T20:58:48.8218662Z     return self.output(hidden_states)
2025-08-26T20:58:48.8218920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T20:58:48.8219010Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8219015Z 
2025-08-26T20:58:48.8219116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8219438Z    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
2025-08-26T20:58:48.8219533Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8219794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8219883Z     layer_outputs = layer(
2025-08-26T20:58:48.8220144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8220272Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8220275Z 
2025-08-26T20:58:48.8220375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8220696Z    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
2025-08-26T20:58:48.8220821Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8221082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8221162Z     layer_outputs = layer(
2025-08-26T20:58:48.8221428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8221506Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8221778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8221885Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8222153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-26T20:58:48.8222237Z     query_vectors = self.query(hidden_states)
2025-08-26T20:58:48.8222240Z 
2025-08-26T20:58:48.8222347Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8222674Z    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
2025-08-26T20:58:48.8222760Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8223031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8223098Z     layer_outputs = layer(
2025-08-26T20:58:48.8223366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8223440Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8223701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8223802Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8224063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-26T20:58:48.8224149Z     key_vectors = self.key(hidden_states)
2025-08-26T20:58:48.8224170Z 
2025-08-26T20:58:48.8224253Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8224338Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8224442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8224768Z    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
2025-08-26T20:58:48.8224868Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8225131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8225209Z     layer_outputs = layer(
2025-08-26T20:58:48.8225472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8225548Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8225817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8225910Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8226194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T20:58:48.8226372Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8226653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8226816Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8226820Z 
2025-08-26T20:58:48.8226899Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8226983Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8227084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8227415Z    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
2025-08-26T20:58:48.8227505Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8227774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8227859Z     layer_outputs = layer(
2025-08-26T20:58:48.8228118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8228201Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8228456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8228556Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8228814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-26T20:58:48.8228989Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8229271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.8229347Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.8229352Z 
2025-08-26T20:58:48.8229461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8229783Z    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
2025-08-26T20:58:48.8229881Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8230138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8230206Z     layer_outputs = layer(
2025-08-26T20:58:48.8230495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8230569Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8230833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8230921Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8231179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T20:58:48.8231338Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.8231342Z 
2025-08-26T20:58:48.8231440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8231772Z    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
2025-08-26T20:58:48.8231859Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8232140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8232206Z     layer_outputs = layer(
2025-08-26T20:58:48.8232459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8232540Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8232789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8232899Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8233150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-26T20:58:48.8233296Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.8233300Z 
2025-08-26T20:58:48.8233398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8233715Z    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
2025-08-26T20:58:48.8233810Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8234077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8234150Z     layer_outputs = layer(
2025-08-26T20:58:48.8234402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8234472Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8234726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8234812Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8235069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-26T20:58:48.8235148Z     value_vectors = self.value(hidden_states)
2025-08-26T20:58:48.8235151Z 
2025-08-26T20:58:48.8235234Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8235314Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8235411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8235732Z    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
2025-08-26T20:58:48.8235821Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8236080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8236161Z     layer_outputs = layer(
2025-08-26T20:58:48.8236413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8236491Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8236741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8236837Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8237088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-26T20:58:48.8237279Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8237546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8237685Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8237688Z 
2025-08-26T20:58:48.8237773Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8237864Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8237971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8238289Z    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
2025-08-26T20:58:48.8238379Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8238640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8238727Z     layer_outputs = layer(
2025-08-26T20:58:48.8238988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8239060Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8239319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8239407Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8239659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T20:58:48.8239793Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8239796Z 
2025-08-26T20:58:48.8239892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8240211Z    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
2025-08-26T20:58:48.8240298Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8240554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8240619Z     layer_outputs = layer(
2025-08-26T20:58:48.8240870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8240948Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8241198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8241294Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8241543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-26T20:58:48.8241654Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8241657Z 
2025-08-26T20:58:48.8241762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8242090Z    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
2025-08-26T20:58:48.8242186Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8242440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8242514Z     layer_outputs = layer(
2025-08-26T20:58:48.8242769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8242840Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8243102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8243191Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8243449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-26T20:58:48.8243650Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T20:58:48.8243968Z   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
2025-08-26T20:58:48.8244116Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T20:58:48.8244121Z 
2025-08-26T20:58:48.8244221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8244545Z    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
2025-08-26T20:58:48.8244649Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8244907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8244972Z     layer_outputs = layer(
2025-08-26T20:58:48.8245224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8245303Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8245556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T20:58:48.8245697Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T20:58:48.8245966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T20:58:48.8246055Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8246059Z 
2025-08-26T20:58:48.8246155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8246472Z    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
2025-08-26T20:58:48.8246568Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8246822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8246894Z     layer_outputs = layer(
2025-08-26T20:58:48.8247145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8247265Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8247526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8247603Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8247855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8247929Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8248220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8248305Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8248556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T20:58:48.8248644Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8248649Z 
2025-08-26T20:58:48.8248746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8249067Z    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
2025-08-26T20:58:48.8249155Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8249413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8249481Z     layer_outputs = layer(
2025-08-26T20:58:48.8249733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8249873Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8250124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8250207Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8250447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8250538Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8250813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8250893Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8251153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T20:58:48.8251233Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T20:58:48.8251238Z 
2025-08-26T20:58:48.8251342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8251656Z    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
2025-08-26T20:58:48.8251761Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8252023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8252090Z     layer_outputs = layer(
2025-08-26T20:58:48.8252360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8252542Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8252829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8252918Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8253185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8253274Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8253573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T20:58:48.8253655Z     return self.output(hidden_states)
2025-08-26T20:58:48.8253915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T20:58:48.8253995Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8253999Z 
2025-08-26T20:58:48.8254124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8254457Z    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
2025-08-26T20:58:48.8254553Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8254837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8254915Z     layer_outputs = layer(
2025-08-26T20:58:48.8255175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8255251Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8255517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8255608Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8255879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-26T20:58:48.8255987Z     query_key_vectors = self.query_key(hidden_states)
2025-08-26T20:58:48.8255991Z 
2025-08-26T20:58:48.8256092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8256425Z    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
2025-08-26T20:58:48.8256517Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8256779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8256863Z     layer_outputs = layer(
2025-08-26T20:58:48.8257127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8257200Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8257459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8257559Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8257817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8257982Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8258254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-26T20:58:48.8258442Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-26T20:58:48.8258452Z 
2025-08-26T20:58:48.8258552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8258878Z    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
2025-08-26T20:58:48.8258973Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8259229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8259304Z     layer_outputs = layer(
2025-08-26T20:58:48.8259560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8259633Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8259898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8259988Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8260250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8260403Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8260691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-26T20:58:48.8260842Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-26T20:58:48.8260847Z 
2025-08-26T20:58:48.8260947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8261280Z    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
2025-08-26T20:58:48.8261370Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8261637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8261705Z     layer_outputs = layer(
2025-08-26T20:58:48.8261973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8262045Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8262320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8262418Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8262677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8262822Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8263117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-26T20:58:48.8263256Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-26T20:58:48.8263267Z 
2025-08-26T20:58:48.8263369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8263696Z    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
2025-08-26T20:58:48.8263792Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8264053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8264152Z     layer_outputs = layer(
2025-08-26T20:58:48.8264436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8264510Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8264779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8264870Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8265140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-26T20:58:48.8265281Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-26T20:58:48.8265571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-26T20:58:48.8265668Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-26T20:58:48.8265672Z 
2025-08-26T20:58:48.8265773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8266114Z    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
2025-08-26T20:58:48.8266203Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8266512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8266581Z     layer_outputs = layer(
2025-08-26T20:58:48.8266841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8266920Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8267179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8267277Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8267532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.8267726Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.8268073Z   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
2025-08-26T20:58:48.8268179Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T20:58:48.8268488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-26T20:58:48.8268641Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-26T20:58:48.8268646Z 
2025-08-26T20:58:48.8268734Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8268834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8269163Z    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
2025-08-26T20:58:48.8269269Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8269527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8269604Z     layer_outputs = layer(
2025-08-26T20:58:48.8269864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8269945Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8270201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8270309Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8270572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-26T20:58:48.8270754Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-26T20:58:48.8271107Z   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
2025-08-26T20:58:48.8271212Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-26T20:58:48.8271494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-26T20:58:48.8271584Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-26T20:58:48.8271588Z 
2025-08-26T20:58:48.8271666Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8271754Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8271854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8272181Z    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
2025-08-26T20:58:48.8272271Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8272530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8272618Z     layer_outputs = layer(
2025-08-26T20:58:48.8272877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8272960Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8273226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8273321Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8273573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8273675Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8273931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T20:58:48.8274129Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8274403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8274561Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8274566Z 
2025-08-26T20:58:48.8274650Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8274728Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8274827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8275154Z    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
2025-08-26T20:58:48.8275261Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8275519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8275585Z     layer_outputs = layer(
2025-08-26T20:58:48.8275838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8275918Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8276170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8276292Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8276541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8276649Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8276902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-26T20:58:48.8277095Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8277371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.8277446Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.8277450Z 
2025-08-26T20:58:48.8277536Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8277634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8277953Z    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
2025-08-26T20:58:48.8278049Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8278301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8278373Z     layer_outputs = layer(
2025-08-26T20:58:48.8278640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8278721Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8278978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8279068Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8279327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-26T20:58:48.8279414Z     value_vectors = self.value(hidden_states)
2025-08-26T20:58:48.8279417Z 
2025-08-26T20:58:48.8279526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8279843Z    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
2025-08-26T20:58:48.8279936Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8280191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8280257Z     layer_outputs = layer(
2025-08-26T20:58:48.8280531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8280603Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8280864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8280951Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8281216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8281323Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8281574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T20:58:48.8281752Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8282020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8282167Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8282186Z 
2025-08-26T20:58:48.8282264Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8282364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8282690Z    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
2025-08-26T20:58:48.8282777Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8283035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8283102Z     layer_outputs = layer(
2025-08-26T20:58:48.8283357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8283437Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8283688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8283785Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8284035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8284141Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8284391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-26T20:58:48.8284577Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8284856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-26T20:58:48.8284930Z     return torch.cat(slices, dim=3)
2025-08-26T20:58:48.8284933Z 
2025-08-26T20:58:48.8285038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8285352Z    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
2025-08-26T20:58:48.8285447Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8285697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8285762Z     layer_outputs = layer(
2025-08-26T20:58:48.8286019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8286091Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8286367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8286455Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8286706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-26T20:58:48.8286908Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-26T20:58:48.8287213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-26T20:58:48.8287312Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-26T20:58:48.8287315Z 
2025-08-26T20:58:48.8287412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8287730Z    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
2025-08-26T20:58:48.8287818Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8288067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8288194Z     layer_outputs = layer(
2025-08-26T20:58:48.8288443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8288523Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8288774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8288861Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8289115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8289213Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8289473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-26T20:58:48.8289616Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-26T20:58:48.8289621Z 
2025-08-26T20:58:48.8289726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8290041Z    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
2025-08-26T20:58:48.8290130Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8290386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8290451Z     layer_outputs = layer(
2025-08-26T20:58:48.8290722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8290796Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8291053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8291141Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8291386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8291495Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8291740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-26T20:58:48.8291927Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-26T20:58:48.8292194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-26T20:58:48.8292352Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-26T20:58:48.8292356Z 
2025-08-26T20:58:48.8292436Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8292605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8292946Z    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
2025-08-26T20:58:48.8293052Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8293320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8293391Z     layer_outputs = layer(
2025-08-26T20:58:48.8293660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8293745Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8294008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8294109Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8294391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8294503Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8294765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T20:58:48.8294875Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8294879Z 
2025-08-26T20:58:48.8294988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8295305Z    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
2025-08-26T20:58:48.8295403Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8295711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8295782Z     layer_outputs = layer(
2025-08-26T20:58:48.8296055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8296132Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8296401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8296492Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8296776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-26T20:58:48.8296879Z     out_vectors, logits, attention_probs = self._attend(
2025-08-26T20:58:48.8297138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-26T20:58:48.8297262Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-26T20:58:48.8297267Z 
2025-08-26T20:58:48.8297349Z cudagraph partition due to non gpu ops
2025-08-26T20:58:48.8297459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8297790Z    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
2025-08-26T20:58:48.8297882Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8298157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8298226Z     layer_outputs = layer(
2025-08-26T20:58:48.8298591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8298668Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8298944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-26T20:58:48.8299037Z     self_attention_outputs = self.self_attention(
2025-08-26T20:58:48.8299303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-26T20:58:48.8299535Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-26T20:58:48.8299845Z   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
2025-08-26T20:58:48.8299995Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-26T20:58:48.8299998Z 
2025-08-26T20:58:48.8300103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8300448Z    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
2025-08-26T20:58:48.8300558Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8300827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8300908Z     layer_outputs = layer(
2025-08-26T20:58:48.8301179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-26T20:58:48.8301263Z     attn_outputs = self.attention(
2025-08-26T20:58:48.8301530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-26T20:58:48.8301675Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-26T20:58:48.8301952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-26T20:58:48.8302041Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8302046Z 
2025-08-26T20:58:48.8302160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8302495Z    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
2025-08-26T20:58:48.8302597Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8302866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8302937Z     layer_outputs = layer(
2025-08-26T20:58:48.8303230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8303360Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8303635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8303716Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8303982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8304056Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8304330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8304419Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8304674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1479, in forward
2025-08-26T20:58:48.8304759Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8304762Z 
2025-08-26T20:58:48.8304876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8305190Z    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
2025-08-26T20:58:48.8305285Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8305535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8305629Z     layer_outputs = layer(
2025-08-26T20:58:48.8305881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8306003Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8306256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8306330Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8306725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8306804Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8307136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-26T20:58:48.8307220Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8307472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-26T20:58:48.8307563Z     hidden_states = self.act_fn(hidden_states)
2025-08-26T20:58:48.8307566Z 
2025-08-26T20:58:48.8307663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8307986Z    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
2025-08-26T20:58:48.8308074Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8308331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8308398Z     layer_outputs = layer(
2025-08-26T20:58:48.8308650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8308776Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8309026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-26T20:58:48.8309107Z     return apply_chunking_to_forward(
2025-08-26T20:58:48.8309377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:48.8309460Z     return forward_fn(*input_tensors)
2025-08-26T20:58:48.8309732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1519, in forward_chunk
2025-08-26T20:58:48.8309804Z     return self.output(hidden_states)
2025-08-26T20:58:48.8310068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1493, in forward
2025-08-26T20:58:48.8310148Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:58:48.8310152Z 
2025-08-26T20:58:48.8310257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8310573Z    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
2025-08-26T20:58:48.8310659Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8310922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-26T20:58:48.8311008Z     layer_outputs = layer(
2025-08-26T20:58:48.8311271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-26T20:58:48.8311386Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-26T20:58:48.8311391Z 
2025-08-26T20:58:48.8311498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:48.8311812Z    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
2025-08-26T20:58:48.8311933Z     hidden_states = _ReversibleFunction.apply(
2025-08-26T20:58:48.8312192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward
2025-08-26T20:58:48.8312302Z     return torch.cat([attn_output, hidden_states], dim=-1)
2025-08-26T20:58:48.8312306Z 
2025-08-26T20:58:52.2962189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:58:52.2962871Z    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
2025-08-26T20:58:52.2963844Z     logits = self.lm_head(sequence_output)
2025-08-26T20:58:52.2964271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward
2025-08-26T20:58:52.2964804Z     return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states)
2025-08-26T20:58:52.2965325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:58:52.2965711Z     return forward_fn(*input_tensors)
2025-08-26T20:58:52.2966125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk
2025-08-26T20:58:52.2966544Z     hidden_states = self.decoder(hidden_states)
2025-08-26T20:58:52.2966690Z 
2025-08-26T20:58:52.5599023Z Compilation time (from dynamo_timed): 17.632628257
2025-08-26T20:58:52.5599664Z pass
2025-08-26T20:58:52.5600109Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:58:52.5601078Z TIMING: gc:0.01118 entire_frame_compile:17.63263 _recursive_pre_grad_passes:0.01309 _recursive_joint_graph_passes:0.33125 _recursive_post_grad_passes:0.07028 async_compile.wait:3.01249 code_gen:11.32407 inductor_compile:13.34285 backend_compile:15.1727 total_wall_time:17.63263
2025-08-26T20:58:52.5602166Z STATS: call_* op count: 478 | FakeTensorMode.__torch_dispatch__:12292 | ProxyTorchDispatchMode.__torch_dispatch__:4316 | FakeTensor.__torch_dispatch__:3858
2025-08-26T20:58:52.5602984Z Dynamo produced 7 graphs covering 478 ops with 8 graph breaks (4 unique)
2025-08-26T20:58:56.6701322Z 
2025-08-26T20:58:57.3029553Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:58:57.3031790Z 
2025-08-26T20:58:57.3074088Z config.json:   0% 0.00/615 [00:00<?, ?B/s]
2025-08-26T20:58:57.3075625Z config.json: 100% 615/615 [00:00<00:00, 148kB/s]
2025-08-26T20:59:02.3937965Z 
2025-08-26T20:59:02.3941780Z loading model: 0it [00:05, ?it/s]
2025-08-26T20:59:02.3958107Z cpu  eval  hf_Roberta_base                    
2025-08-26T20:59:05.5240611Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:07.0670314Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:08.7186093Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:15.9104373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9104862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9105278Z     return mod(**inputs)
2025-08-26T20:59:15.9106050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9106740Z     outputs = self.roberta(
2025-08-26T20:59:15.9107149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T20:59:15.9107572Z     embedding_output = self.embeddings(
2025-08-26T20:59:15.9107970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-26T20:59:15.9113054Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-26T20:59:15.9118263Z   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
2025-08-26T20:59:15.9118954Z     mask = input_ids.ne(padding_idx).int()
2025-08-26T20:59:15.9119198Z 
2025-08-26T20:59:15.9119476Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9119703Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9119932Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9120144Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9120608Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9120826Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9121042Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9121267Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9121476Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9121695Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9121906Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9122116Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9122361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9122739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9123078Z     return mod(**inputs)
2025-08-26T20:59:15.9123485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9123898Z     outputs = self.roberta(
2025-08-26T20:59:15.9124301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T20:59:15.9124721Z     embedding_output = self.embeddings(
2025-08-26T20:59:15.9125139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-26T20:59:15.9125677Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-26T20:59:15.9126338Z   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
2025-08-26T20:59:15.9126925Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-26T20:59:15.9127176Z 
2025-08-26T20:59:15.9127291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9127672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9128014Z     return mod(**inputs)
2025-08-26T20:59:15.9128412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9128825Z     outputs = self.roberta(
2025-08-26T20:59:15.9129220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T20:59:15.9129637Z     embedding_output = self.embeddings(
2025-08-26T20:59:15.9130051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-26T20:59:15.9130611Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-26T20:59:15.9131231Z   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
2025-08-26T20:59:15.9131809Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-26T20:59:15.9132088Z 
2025-08-26T20:59:15.9132201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9132716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9133047Z     return mod(**inputs)
2025-08-26T20:59:15.9133448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9133858Z     outputs = self.roberta(
2025-08-26T20:59:15.9134280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-26T20:59:15.9134737Z     embedding_output = self.embeddings(
2025-08-26T20:59:15.9135189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 119, in forward
2025-08-26T20:59:15.9135686Z     embeddings += position_embeddings
2025-08-26T20:59:15.9135844Z 
2025-08-26T20:59:15.9135966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9136349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9136685Z     return mod(**inputs)
2025-08-26T20:59:15.9137076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9137494Z     outputs = self.roberta(
2025-08-26T20:59:15.9137899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9138316Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9138721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9139136Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9139500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9139883Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9140317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9140739Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9141178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9141596Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9142007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9142421Z     self_outputs = self.self(
2025-08-26T20:59:15.9142794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9143176Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9143585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9144144Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9144414Z 
2025-08-26T20:59:15.9144533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9144895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9145254Z     return mod(**inputs)
2025-08-26T20:59:15.9145678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9146116Z     outputs = self.roberta(
2025-08-26T20:59:15.9146504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9146924Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9147359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9147775Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9148134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9148502Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9148928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9149358Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9149755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9150156Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9150555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9150969Z     self_outputs = self.self(
2025-08-26T20:59:15.9151341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9151723Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9152122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9152540Z     self.key(current_states)
2025-08-26T20:59:15.9152661Z 
2025-08-26T20:59:15.9152766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9153111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9153430Z     return mod(**inputs)
2025-08-26T20:59:15.9153799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9154195Z     outputs = self.roberta(
2025-08-26T20:59:15.9154571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9154966Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9155367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9155765Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9156102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9156450Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9156847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9157252Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9157623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9158066Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9158461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9158867Z     self_outputs = self.self(
2025-08-26T20:59:15.9159230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9159640Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9160023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9160419Z     self.value(current_states)
2025-08-26T20:59:15.9160536Z 
2025-08-26T20:59:15.9160623Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9160855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9161221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9161537Z     return mod(**inputs)
2025-08-26T20:59:15.9161920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9162308Z     outputs = self.roberta(
2025-08-26T20:59:15.9162690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9163087Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9163479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9163908Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9164241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9164594Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9164989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9165391Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9165755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9166114Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9166517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9166912Z     self_outputs = self.self(
2025-08-26T20:59:15.9167266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9167618Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9168000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9168452Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9168632Z 
2025-08-26T20:59:15.9168745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9169110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9169422Z     return mod(**inputs)
2025-08-26T20:59:15.9169802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9170197Z     outputs = self.roberta(
2025-08-26T20:59:15.9170576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9170965Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9171356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9171746Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9172086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9172447Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9172987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9173477Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9173959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9174383Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9174838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9175344Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9175878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9176351Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9176511Z 
2025-08-26T20:59:15.9176639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9177052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9177417Z     return mod(**inputs)
2025-08-26T20:59:15.9177854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9178303Z     outputs = self.roberta(
2025-08-26T20:59:15.9178755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9179201Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9179651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9180075Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9180414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9180763Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9181152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9181559Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9181954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9182341Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9182764Z   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
2025-08-26T20:59:15.9183227Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9183669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9184086Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9184223Z 
2025-08-26T20:59:15.9184334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9184685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9184998Z     return mod(**inputs)
2025-08-26T20:59:15.9185379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9185780Z     outputs = self.roberta(
2025-08-26T20:59:15.9186162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9186552Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9186945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9187339Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9187683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9188041Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9188452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9188859Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9189258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9189643Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9190085Z   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
2025-08-26T20:59:15.9190547Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9190986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9191416Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9191788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9192111Z     return self.act(input)
2025-08-26T20:59:15.9192227Z 
2025-08-26T20:59:15.9192346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9192692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9193009Z     return mod(**inputs)
2025-08-26T20:59:15.9193382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9193769Z     outputs = self.roberta(
2025-08-26T20:59:15.9194147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9194542Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9194943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9195332Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9195658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9196003Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9196389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9196785Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9197162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9197534Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9197961Z   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
2025-08-26T20:59:15.9198441Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9198888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9199282Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9199426Z 
2025-08-26T20:59:15.9199527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9199877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9200189Z     return mod(**inputs)
2025-08-26T20:59:15.9200561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9200940Z     outputs = self.roberta(
2025-08-26T20:59:15.9201310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9201711Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9202091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9202475Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9202796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9203138Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9203569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9203965Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9204324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9204680Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9205057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9205441Z     self_outputs = self.self(
2025-08-26T20:59:15.9205786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9206146Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9206695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9207229Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9207478Z 
2025-08-26T20:59:15.9207590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9207936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9208236Z     return mod(**inputs)
2025-08-26T20:59:15.9208612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9209003Z     outputs = self.roberta(
2025-08-26T20:59:15.9209374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9209761Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9210138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9210523Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9210855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9211198Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9211877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9212345Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9212789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9213173Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9213570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9213971Z     self_outputs = self.self(
2025-08-26T20:59:15.9214339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9214715Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9215111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9215523Z     self.key(current_states)
2025-08-26T20:59:15.9215639Z 
2025-08-26T20:59:15.9215747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9216140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9216473Z     return mod(**inputs)
2025-08-26T20:59:15.9216864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9217265Z     outputs = self.roberta(
2025-08-26T20:59:15.9217659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9218103Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9218508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9218916Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9219261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9219630Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9220040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9220478Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9220864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9221231Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9221625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9222029Z     self_outputs = self.self(
2025-08-26T20:59:15.9222396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9222756Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9223147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9223550Z     self.value(current_states)
2025-08-26T20:59:15.9223669Z 
2025-08-26T20:59:15.9223763Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9224009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9224360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9224685Z     return mod(**inputs)
2025-08-26T20:59:15.9225071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9225474Z     outputs = self.roberta(
2025-08-26T20:59:15.9225870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9226274Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9226675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9227086Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9227422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9227769Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9228163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9228564Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9228937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9229295Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9229670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9230077Z     self_outputs = self.self(
2025-08-26T20:59:15.9230429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9230793Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9231166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9231633Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9231822Z 
2025-08-26T20:59:15.9231925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9232273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9232592Z     return mod(**inputs)
2025-08-26T20:59:15.9232965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9233367Z     outputs = self.roberta(
2025-08-26T20:59:15.9233748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9234160Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9234552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9234945Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9235286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9235637Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9236035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9236438Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9236825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9237187Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9237569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9238016Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9238458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9238852Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9238991Z 
2025-08-26T20:59:15.9239092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9239447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9239758Z     return mod(**inputs)
2025-08-26T20:59:15.9240121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9240507Z     outputs = self.roberta(
2025-08-26T20:59:15.9240875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9241266Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9241649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9242031Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9242361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9242705Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9243091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9243497Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9243872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9244243Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9244655Z   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
2025-08-26T20:59:15.9245126Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9245546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9245938Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9246075Z 
2025-08-26T20:59:15.9246177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9246517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9246828Z     return mod(**inputs)
2025-08-26T20:59:15.9247187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9247586Z     outputs = self.roberta(
2025-08-26T20:59:15.9247955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9248345Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9248727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9249105Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9249439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9249780Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9250168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9250552Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9250931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9251306Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9251716Z   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
2025-08-26T20:59:15.9252170Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9252665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9253157Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9253581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9253965Z     return self.act(input)
2025-08-26T20:59:15.9254094Z 
2025-08-26T20:59:15.9254213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9254570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9254899Z     return mod(**inputs)
2025-08-26T20:59:15.9255289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9255692Z     outputs = self.roberta(
2025-08-26T20:59:15.9256083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9256482Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9256885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9257305Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9257655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9258010Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9258432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9258889Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9259293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9259689Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9260116Z   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
2025-08-26T20:59:15.9260608Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9261075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9261491Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9261651Z 
2025-08-26T20:59:15.9261767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9262114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9262439Z     return mod(**inputs)
2025-08-26T20:59:15.9262821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9263225Z     outputs = self.roberta(
2025-08-26T20:59:15.9263611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9264004Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9264408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9264808Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9265158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9265516Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9265927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9266340Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9266725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9267100Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9267510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9267918Z     self_outputs = self.self(
2025-08-26T20:59:15.9268285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9268664Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9269061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9269598Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9269866Z 
2025-08-26T20:59:15.9269972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9270330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9270658Z     return mod(**inputs)
2025-08-26T20:59:15.9271042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9271481Z     outputs = self.roberta(
2025-08-26T20:59:15.9271874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9272263Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9272641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9273034Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9273365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9273707Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9274096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9274488Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9274847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9275202Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9275576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9275973Z     self_outputs = self.self(
2025-08-26T20:59:15.9276307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9276663Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9277037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9277418Z     self.key(current_states)
2025-08-26T20:59:15.9277527Z 
2025-08-26T20:59:15.9277637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9277975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9278283Z     return mod(**inputs)
2025-08-26T20:59:15.9278650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9279036Z     outputs = self.roberta(
2025-08-26T20:59:15.9279406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9279783Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9280164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9280542Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9280884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9281222Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9281611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9282006Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9282380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9282738Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9283109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9283498Z     self_outputs = self.self(
2025-08-26T20:59:15.9283844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9284203Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9284580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9285795Z     self.value(current_states)
2025-08-26T20:59:15.9285924Z 
2025-08-26T20:59:15.9286005Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9286242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9286595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9286902Z     return mod(**inputs)
2025-08-26T20:59:15.9287292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9287677Z     outputs = self.roberta(
2025-08-26T20:59:15.9288053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9288449Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9288838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9289229Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9289564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9289930Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9290322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9290714Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9291082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9291440Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9291815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9292194Z     self_outputs = self.self(
2025-08-26T20:59:15.9292609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9293036Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9293467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9293995Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9294190Z 
2025-08-26T20:59:15.9294301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9294676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9294996Z     return mod(**inputs)
2025-08-26T20:59:15.9295404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9295804Z     outputs = self.roberta(
2025-08-26T20:59:15.9296179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9296577Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9296965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9297356Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9297685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9298039Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9298437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9298839Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9299212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9299583Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9299968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9300417Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9300865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9301284Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9301419Z 
2025-08-26T20:59:15.9301522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9301872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9302189Z     return mod(**inputs)
2025-08-26T20:59:15.9302567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9302960Z     outputs = self.roberta(
2025-08-26T20:59:15.9303329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9303743Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9304136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9304528Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9304859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9305214Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9305614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9306022Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9306415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9307011Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9307445Z   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
2025-08-26T20:59:15.9307927Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9308371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9308774Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9308911Z 
2025-08-26T20:59:15.9309014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9309411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9309729Z     return mod(**inputs)
2025-08-26T20:59:15.9310109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9310499Z     outputs = self.roberta(
2025-08-26T20:59:15.9310878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9311277Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9311671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9312063Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9312397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9312750Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9313150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9313580Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9313982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9314354Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9314764Z   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
2025-08-26T20:59:15.9315239Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9315665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9316085Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9316441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9316765Z     return self.act(input)
2025-08-26T20:59:15.9316880Z 
2025-08-26T20:59:15.9316985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9317328Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9317660Z     return mod(**inputs)
2025-08-26T20:59:15.9318029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9318416Z     outputs = self.roberta(
2025-08-26T20:59:15.9318788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9319176Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9319555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9319938Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9320268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9320613Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9321003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9321393Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9321773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9322148Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9322562Z   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
2025-08-26T20:59:15.9323058Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9323498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9323892Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9324030Z 
2025-08-26T20:59:15.9324131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9324473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9324774Z     return mod(**inputs)
2025-08-26T20:59:15.9325141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9325523Z     outputs = self.roberta(
2025-08-26T20:59:15.9325891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9326278Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9326654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9327054Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9327383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9327727Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9328111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9328515Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9328882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9329237Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9329612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9329985Z     self_outputs = self.self(
2025-08-26T20:59:15.9330336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9330687Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9331062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9331587Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9331835Z 
2025-08-26T20:59:15.9331938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9332277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9332656Z     return mod(**inputs)
2025-08-26T20:59:15.9333046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9333443Z     outputs = self.roberta(
2025-08-26T20:59:15.9333825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9334244Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9334661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9335080Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9335446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9335810Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9336227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9336671Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9337062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9337439Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9337841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9338252Z     self_outputs = self.self(
2025-08-26T20:59:15.9338623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9339004Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9339396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9339809Z     self.key(current_states)
2025-08-26T20:59:15.9339931Z 
2025-08-26T20:59:15.9340037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9340403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9340724Z     return mod(**inputs)
2025-08-26T20:59:15.9341143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9341542Z     outputs = self.roberta(
2025-08-26T20:59:15.9341923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9342323Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9342722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9343109Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9343445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9343795Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9344194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9344586Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9344958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9345342Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9345724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9346110Z     self_outputs = self.self(
2025-08-26T20:59:15.9346460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9346817Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9347202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9347595Z     self.value(current_states)
2025-08-26T20:59:15.9347711Z 
2025-08-26T20:59:15.9347794Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9348035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9348382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9348701Z     return mod(**inputs)
2025-08-26T20:59:15.9349076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9349462Z     outputs = self.roberta(
2025-08-26T20:59:15.9349836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9350230Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9350636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9351024Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9351364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9351711Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9352114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9352504Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9352864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9353216Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9353587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9353971Z     self_outputs = self.self(
2025-08-26T20:59:15.9354334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9354682Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9355063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9355512Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9355690Z 
2025-08-26T20:59:15.9355802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9356153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9356463Z     return mod(**inputs)
2025-08-26T20:59:15.9356832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9357216Z     outputs = self.roberta(
2025-08-26T20:59:15.9357586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9358022Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9358412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9358822Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9359170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9359514Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9359894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9360288Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9360664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9361027Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9361403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9361854Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9362310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9362705Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9362839Z 
2025-08-26T20:59:15.9362947Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9363279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9363590Z     return mod(**inputs)
2025-08-26T20:59:15.9363981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9364369Z     outputs = self.roberta(
2025-08-26T20:59:15.9364735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9365111Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9365490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9365875Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9366202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9366544Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9366921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9367314Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9367696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9368087Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9368492Z   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
2025-08-26T20:59:15.9368959Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9369396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9369820Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9369954Z 
2025-08-26T20:59:15.9370064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9370402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9370720Z     return mod(**inputs)
2025-08-26T20:59:15.9371098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9371492Z     outputs = self.roberta(
2025-08-26T20:59:15.9371871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9372291Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9372757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9373166Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9373512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9373877Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9374362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9374838Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9375284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9375725Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9376211Z   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
2025-08-26T20:59:15.9376739Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9377235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9377715Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9378133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9378521Z     return self.act(input)
2025-08-26T20:59:15.9378655Z 
2025-08-26T20:59:15.9378775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9379175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9379538Z     return mod(**inputs)
2025-08-26T20:59:15.9379967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9380408Z     outputs = self.roberta(
2025-08-26T20:59:15.9380798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9381212Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9381622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9382029Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9382393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9382789Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9383213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9383644Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9384037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9384450Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9384882Z   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
2025-08-26T20:59:15.9385355Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9385807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9386226Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9386377Z 
2025-08-26T20:59:15.9386496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9386889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9387262Z     return mod(**inputs)
2025-08-26T20:59:15.9387687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9388118Z     outputs = self.roberta(
2025-08-26T20:59:15.9388545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9388959Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9389371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9389773Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9390153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9390543Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9390988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9391447Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9391858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9392263Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9392682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9393115Z     self_outputs = self.self(
2025-08-26T20:59:15.9393490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9393881Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9394319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9394902Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9395187Z 
2025-08-26T20:59:15.9395309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9395699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9396052Z     return mod(**inputs)
2025-08-26T20:59:15.9396448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9396868Z     outputs = self.roberta(
2025-08-26T20:59:15.9397286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9397699Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9398109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9398524Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9398881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9399289Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9399740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9400172Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9400579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9400993Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9401430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9401866Z     self_outputs = self.self(
2025-08-26T20:59:15.9402279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9402681Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9403110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9403546Z     self.key(current_states)
2025-08-26T20:59:15.9403682Z 
2025-08-26T20:59:15.9403797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9404187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9404536Z     return mod(**inputs)
2025-08-26T20:59:15.9404958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9405393Z     outputs = self.roberta(
2025-08-26T20:59:15.9405814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9406259Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9406855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9407310Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9407686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9408083Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9408589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9409040Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9409451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9409853Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9410281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9410733Z     self_outputs = self.self(
2025-08-26T20:59:15.9411130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9411546Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9412004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9412473Z     self.value(current_states)
2025-08-26T20:59:15.9412661Z 
2025-08-26T20:59:15.9412771Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9413066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9413460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9413812Z     return mod(**inputs)
2025-08-26T20:59:15.9414238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9414709Z     outputs = self.roberta(
2025-08-26T20:59:15.9415153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9415619Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9416055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9416450Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9416790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9417134Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9417528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9417955Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9418327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9418680Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9419060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9419450Z     self_outputs = self.self(
2025-08-26T20:59:15.9419801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9420159Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9420535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9420985Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9421174Z 
2025-08-26T20:59:15.9421276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9421627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9421944Z     return mod(**inputs)
2025-08-26T20:59:15.9422311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9422704Z     outputs = self.roberta(
2025-08-26T20:59:15.9423096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9423491Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9423872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9424260Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9424600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9424948Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9425340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9425736Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9426108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9426470Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9426852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9427340Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9427783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9428194Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9428340Z 
2025-08-26T20:59:15.9428444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9428817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9429129Z     return mod(**inputs)
2025-08-26T20:59:15.9429494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9429889Z     outputs = self.roberta(
2025-08-26T20:59:15.9430267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9430665Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9431048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9431460Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9431799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9432151Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9432548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9432958Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9433346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9433719Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9434130Z   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
2025-08-26T20:59:15.9434582Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9435000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9435396Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9435535Z 
2025-08-26T20:59:15.9435637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9435976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9436279Z     return mod(**inputs)
2025-08-26T20:59:15.9436662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9437051Z     outputs = self.roberta(
2025-08-26T20:59:15.9437426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9437822Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9438202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9438591Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9438927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9439275Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9439668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9440057Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9440464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9440846Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9441258Z   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
2025-08-26T20:59:15.9441723Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9442144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9442579Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9442939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9443260Z     return self.act(input)
2025-08-26T20:59:15.9443369Z 
2025-08-26T20:59:15.9443471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9443818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9444128Z     return mod(**inputs)
2025-08-26T20:59:15.9444492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9444898Z     outputs = self.roberta(
2025-08-26T20:59:15.9445260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9445648Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9446030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9446419Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9446753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9447091Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9447484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9447881Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9448266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9448648Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9449063Z   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
2025-08-26T20:59:15.9449531Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9449999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9450407Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9450543Z 
2025-08-26T20:59:15.9450649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9451004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9451328Z     return mod(**inputs)
2025-08-26T20:59:15.9451708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9452105Z     outputs = self.roberta(
2025-08-26T20:59:15.9452478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9452995Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9453439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9453872Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9454254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9454623Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9455036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9455445Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9455830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9456216Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9456604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9456998Z     self_outputs = self.self(
2025-08-26T20:59:15.9457360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9457722Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9458101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9458631Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9458915Z 
2025-08-26T20:59:15.9459024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9459382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9459708Z     return mod(**inputs)
2025-08-26T20:59:15.9460082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9472779Z     outputs = self.roberta(
2025-08-26T20:59:15.9473254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9473675Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9474072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9474472Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9474822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9475180Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9475573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9475976Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9476357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9476823Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9477219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9477604Z     self_outputs = self.self(
2025-08-26T20:59:15.9477966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9478328Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9478714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9479108Z     self.key(current_states)
2025-08-26T20:59:15.9479226Z 
2025-08-26T20:59:15.9479339Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9479701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9480026Z     return mod(**inputs)
2025-08-26T20:59:15.9480406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9480816Z     outputs = self.roberta(
2025-08-26T20:59:15.9481198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9481593Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9481981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9482391Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9482718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9483063Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9483456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9483851Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9484218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9484566Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9484941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9485353Z     self_outputs = self.self(
2025-08-26T20:59:15.9485701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9486050Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9486422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9486806Z     self.value(current_states)
2025-08-26T20:59:15.9486923Z 
2025-08-26T20:59:15.9487016Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9487256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9487598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9487914Z     return mod(**inputs)
2025-08-26T20:59:15.9488291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9488684Z     outputs = self.roberta(
2025-08-26T20:59:15.9489049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9489437Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9489817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9490205Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9490555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9490909Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9491302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9491701Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9492071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9492462Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9492998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9493458Z     self_outputs = self.self(
2025-08-26T20:59:15.9493858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9494224Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9494637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9495108Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9495296Z 
2025-08-26T20:59:15.9495414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9495780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9496098Z     return mod(**inputs)
2025-08-26T20:59:15.9496507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9496912Z     outputs = self.roberta(
2025-08-26T20:59:15.9497298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9497704Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9498098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9498502Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9498852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9499243Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9499649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9500071Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9500459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9500834Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9501233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9501689Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9502154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9502577Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9502721Z 
2025-08-26T20:59:15.9502838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9503202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9503523Z     return mod(**inputs)
2025-08-26T20:59:15.9503916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9504324Z     outputs = self.roberta(
2025-08-26T20:59:15.9504732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9505143Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9505539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9505944Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9506294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9506801Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9507278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9507706Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9508120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9508532Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9509026Z   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
2025-08-26T20:59:15.9509508Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9509965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9510387Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9510528Z 
2025-08-26T20:59:15.9510644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9511053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9511374Z     return mod(**inputs)
2025-08-26T20:59:15.9511765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9512162Z     outputs = self.roberta(
2025-08-26T20:59:15.9512528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9512908Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9513280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9513693Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9514022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9514366Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9514749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9515145Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9515530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9515905Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9516319Z   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
2025-08-26T20:59:15.9516768Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9517193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9517614Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9517977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9518303Z     return self.act(input)
2025-08-26T20:59:15.9518412Z 
2025-08-26T20:59:15.9518513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9518880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9519191Z     return mod(**inputs)
2025-08-26T20:59:15.9519563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9519941Z     outputs = self.roberta(
2025-08-26T20:59:15.9520311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9520697Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9521079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9521462Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9521781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9522125Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9522532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9522617Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9522869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9522946Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9523243Z   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
2025-08-26T20:59:15.9523388Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9523651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9523733Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9523738Z 
2025-08-26T20:59:15.9523839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9524036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9524102Z     return mod(**inputs)
2025-08-26T20:59:15.9524372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9524468Z     outputs = self.roberta(
2025-08-26T20:59:15.9524723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9524803Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9525060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9525140Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9525350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9525428Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9525693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9525775Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9526014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9526084Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9526351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9526421Z     self_outputs = self.self(
2025-08-26T20:59:15.9526650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9526741Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9526999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9527207Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9527211Z 
2025-08-26T20:59:15.9527314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9527506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9527570Z     return mod(**inputs)
2025-08-26T20:59:15.9527831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9527906Z     outputs = self.roberta(
2025-08-26T20:59:15.9528161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9528240Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9528506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9528577Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9528792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9528869Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9529129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9529225Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9529455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9529532Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9529790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9529868Z     self_outputs = self.self(
2025-08-26T20:59:15.9530097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9530175Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9530446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9530514Z     self.key(current_states)
2025-08-26T20:59:15.9530519Z 
2025-08-26T20:59:15.9530627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9530812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9530883Z     return mod(**inputs)
2025-08-26T20:59:15.9531142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9531209Z     outputs = self.roberta(
2025-08-26T20:59:15.9531472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9531544Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9531802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9531873Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9532076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9532161Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9532414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9532564Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9532820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9532899Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9533157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9533232Z     self_outputs = self.self(
2025-08-26T20:59:15.9533490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9533563Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9533856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9533934Z     self.value(current_states)
2025-08-26T20:59:15.9533937Z 
2025-08-26T20:59:15.9534025Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9534148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9534349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9534445Z     return mod(**inputs)
2025-08-26T20:59:15.9534737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9534820Z     outputs = self.roberta(
2025-08-26T20:59:15.9535104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9535196Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9535468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9535541Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9535764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9535841Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9536102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9536192Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9536436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9536538Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9536820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9536895Z     self_outputs = self.self(
2025-08-26T20:59:15.9537151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9537222Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9537513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9537655Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9537658Z 
2025-08-26T20:59:15.9537774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9537974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9538046Z     return mod(**inputs)
2025-08-26T20:59:15.9538339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9538413Z     outputs = self.roberta(
2025-08-26T20:59:15.9538699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9538775Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9539073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9539156Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9539380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9539469Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9539746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9539838Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9540083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9540155Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9540438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9540576Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9540880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9540970Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9540973Z 
2025-08-26T20:59:15.9541081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9541292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9541362Z     return mod(**inputs)
2025-08-26T20:59:15.9541670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9541742Z     outputs = self.roberta(
2025-08-26T20:59:15.9542028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9542106Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9542386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9542467Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9542691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9542797Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9543071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9543163Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9543433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9543514Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9543829Z   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
2025-08-26T20:59:15.9543956Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9544235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9544322Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9544326Z 
2025-08-26T20:59:15.9544431Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9544639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9544710Z     return mod(**inputs)
2025-08-26T20:59:15.9544996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9545071Z     outputs = self.roberta(
2025-08-26T20:59:15.9545361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9545446Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9545726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9545802Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9546011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9546093Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9546348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9546427Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9546677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9546751Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9547058Z   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
2025-08-26T20:59:15.9547174Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9547440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9547578Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9547813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9547881Z     return self.act(input)
2025-08-26T20:59:15.9547885Z 
2025-08-26T20:59:15.9547984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9548178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9548243Z     return mod(**inputs)
2025-08-26T20:59:15.9548517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9548585Z     outputs = self.roberta(
2025-08-26T20:59:15.9548845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9548984Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9549236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9549313Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9549518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9549602Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9549857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9549939Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9550188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9550262Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9550552Z   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
2025-08-26T20:59:15.9550676Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9550932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9551019Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9551022Z 
2025-08-26T20:59:15.9551137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9551334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9551401Z     return mod(**inputs)
2025-08-26T20:59:15.9551669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9551737Z     outputs = self.roberta(
2025-08-26T20:59:15.9551993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9552074Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9552332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9552408Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9552615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9552692Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9552971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9553051Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9553286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9553355Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9553619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9553701Z     self_outputs = self.self(
2025-08-26T20:59:15.9553928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9554004Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9554262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9554470Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9554473Z 
2025-08-26T20:59:15.9554572Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9554756Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9554843Z     return mod(**inputs)
2025-08-26T20:59:15.9555112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9555187Z     outputs = self.roberta(
2025-08-26T20:59:15.9555448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9555526Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9555787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9555858Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9556082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9556157Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9556425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9556505Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9556737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9556811Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9557089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9557164Z     self_outputs = self.self(
2025-08-26T20:59:15.9557389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9557456Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9557718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9557788Z     self.key(current_states)
2025-08-26T20:59:15.9557792Z 
2025-08-26T20:59:15.9557899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9558084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9558155Z     return mod(**inputs)
2025-08-26T20:59:15.9558413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9558480Z     outputs = self.roberta(
2025-08-26T20:59:15.9558743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9558827Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9559089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9559160Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9559364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9559461Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9559714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9559799Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9560024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9560096Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9560353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9560420Z     self_outputs = self.self(
2025-08-26T20:59:15.9560652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9560733Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9560998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9561070Z     self.value(current_states)
2025-08-26T20:59:15.9561074Z 
2025-08-26T20:59:15.9561153Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9561259Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9561446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9561518Z     return mod(**inputs)
2025-08-26T20:59:15.9561779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9561845Z     outputs = self.roberta(
2025-08-26T20:59:15.9562107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9562179Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9562443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9562513Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9562728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9562804Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9563077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9563166Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9563392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9563466Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9563720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9563790Z     self_outputs = self.self(
2025-08-26T20:59:15.9564023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9564089Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9564355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9564485Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9564489Z 
2025-08-26T20:59:15.9564609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9564798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9564864Z     return mod(**inputs)
2025-08-26T20:59:15.9565132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9565200Z     outputs = self.roberta(
2025-08-26T20:59:15.9565480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9565551Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9565809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9565889Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9566096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9566179Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9566438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9566543Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9566768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9566835Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9567095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9567219Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9567482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9567563Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9567566Z 
2025-08-26T20:59:15.9567665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9567857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9567922Z     return mod(**inputs)
2025-08-26T20:59:15.9568197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9568267Z     outputs = self.roberta(
2025-08-26T20:59:15.9568537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9568608Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9568885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9568967Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9569184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9569267Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9569535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9569616Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9569878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9569955Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9570256Z   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
2025-08-26T20:59:15.9570374Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9570667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9570751Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9570754Z 
2025-08-26T20:59:15.9570857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9571054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9571136Z     return mod(**inputs)
2025-08-26T20:59:15.9571408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9571476Z     outputs = self.roberta(
2025-08-26T20:59:15.9574410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9574498Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9574782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9574865Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9575091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9575172Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9575441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9575528Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9575788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9575903Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9576198Z   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
2025-08-26T20:59:15.9576325Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9576586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9576702Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9576907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9576979Z     return self.act(input)
2025-08-26T20:59:15.9576983Z 
2025-08-26T20:59:15.9577093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9577289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9577363Z     return mod(**inputs)
2025-08-26T20:59:15.9577650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9577721Z     outputs = self.roberta(
2025-08-26T20:59:15.9577988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9578061Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9578328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9578400Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9578623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9578700Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9578958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9579050Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9579313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9579398Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9579688Z   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
2025-08-26T20:59:15.9579819Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9580085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9580185Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9580188Z 
2025-08-26T20:59:15.9580297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9580552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9580625Z     return mod(**inputs)
2025-08-26T20:59:15.9580894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9580964Z     outputs = self.roberta(
2025-08-26T20:59:15.9581238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9581310Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9581580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9581652Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9581871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9581959Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9582222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9582312Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9582548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9582617Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9582891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9582963Z     self_outputs = self.self(
2025-08-26T20:59:15.9583204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9583275Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9583566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9583775Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9583779Z 
2025-08-26T20:59:15.9583884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9584084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9584148Z     return mod(**inputs)
2025-08-26T20:59:15.9584423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9584493Z     outputs = self.roberta(
2025-08-26T20:59:15.9584755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9584833Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9585098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9585178Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9585406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9585492Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9585755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9585836Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9586077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9586164Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9586432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9586530Z     self_outputs = self.self(
2025-08-26T20:59:15.9586766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9586844Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9587109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9587185Z     self.key(current_states)
2025-08-26T20:59:15.9587189Z 
2025-08-26T20:59:15.9587290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9587504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9587571Z     return mod(**inputs)
2025-08-26T20:59:15.9587837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9587913Z     outputs = self.roberta(
2025-08-26T20:59:15.9588177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9588257Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9588518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9588588Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9588809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9588887Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9589155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9589238Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9589469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9589560Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9589829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9589910Z     self_outputs = self.self(
2025-08-26T20:59:15.9590141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9590216Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9590479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9590554Z     self.value(current_states)
2025-08-26T20:59:15.9590557Z 
2025-08-26T20:59:15.9590645Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9590747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9590945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9591012Z     return mod(**inputs)
2025-08-26T20:59:15.9591278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9591370Z     outputs = self.roberta(
2025-08-26T20:59:15.9591640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9591718Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9591984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9592077Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9592293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9592388Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9592670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9592751Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9592991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9593060Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9593326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9593395Z     self_outputs = self.self(
2025-08-26T20:59:15.9593627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9593705Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9593968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9594115Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9594119Z 
2025-08-26T20:59:15.9594223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9594423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9594493Z     return mod(**inputs)
2025-08-26T20:59:15.9594762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9594842Z     outputs = self.roberta(
2025-08-26T20:59:15.9595104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9595188Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9595451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9595526Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9595772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9595853Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9596122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9596202Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9596441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9596513Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9596773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9596907Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9597171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9597259Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9597263Z 
2025-08-26T20:59:15.9597380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9597571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9597642Z     return mod(**inputs)
2025-08-26T20:59:15.9597903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9597996Z     outputs = self.roberta(
2025-08-26T20:59:15.9598256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9598336Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9598620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9598691Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9598914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9598991Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9599258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9599341Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9599594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9599681Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9599977Z   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
2025-08-26T20:59:15.9600102Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9600367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9600457Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9600460Z 
2025-08-26T20:59:15.9600560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9600749Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9600822Z     return mod(**inputs)
2025-08-26T20:59:15.9601089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9601165Z     outputs = self.roberta(
2025-08-26T20:59:15.9601427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9601499Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9601786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9601860Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9602078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9602155Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9602415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9602505Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9602757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9602840Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9603134Z   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
2025-08-26T20:59:15.9603259Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9603534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9603646Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9603860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9603931Z     return self.act(input)
2025-08-26T20:59:15.9603950Z 
2025-08-26T20:59:15.9604059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9604247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9604314Z     return mod(**inputs)
2025-08-26T20:59:15.9604606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9604677Z     outputs = self.roberta(
2025-08-26T20:59:15.9604946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9605019Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9605291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9605362Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9605574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9605661Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9605924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9606016Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9606268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9606346Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9606926Z   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
2025-08-26T20:59:15.9607071Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9607359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9607448Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9607451Z 
2025-08-26T20:59:15.9607569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9607783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9607858Z     return mod(**inputs)
2025-08-26T20:59:15.9608260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9608336Z     outputs = self.roberta(
2025-08-26T20:59:15.9608622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9608697Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9608976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9609058Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9609284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9609373Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9609657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9609749Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9610027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9610101Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9610387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9610459Z     self_outputs = self.self(
2025-08-26T20:59:15.9610731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9610832Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9611112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9611363Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9611367Z 
2025-08-26T20:59:15.9611475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9611684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9611753Z     return mod(**inputs)
2025-08-26T20:59:15.9612045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9612117Z     outputs = self.roberta(
2025-08-26T20:59:15.9612393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9612480Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9612840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9612933Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9613172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9613259Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9613566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9613656Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9613925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9614000Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9614282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9614358Z     self_outputs = self.self(
2025-08-26T20:59:15.9614624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9614705Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9614985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9615068Z     self.key(current_states)
2025-08-26T20:59:15.9615071Z 
2025-08-26T20:59:15.9615180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9615381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9615458Z     return mod(**inputs)
2025-08-26T20:59:15.9615743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9615821Z     outputs = self.roberta(
2025-08-26T20:59:15.9616097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9616177Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9616478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9616554Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9616785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9616864Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9617149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9617251Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9617495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9617602Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9617881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9617961Z     self_outputs = self.self(
2025-08-26T20:59:15.9618209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9618281Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9618568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9618644Z     self.value(current_states)
2025-08-26T20:59:15.9618648Z 
2025-08-26T20:59:15.9618744Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9618851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9619059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9619131Z     return mod(**inputs)
2025-08-26T20:59:15.9619417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9619497Z     outputs = self.roberta(
2025-08-26T20:59:15.9619776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9619859Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9620151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9620223Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9620447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9620524Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9620793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9620890Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9621126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9621201Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9621466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9621542Z     self_outputs = self.self(
2025-08-26T20:59:15.9621778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9621853Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9622120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9622251Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9622255Z 
2025-08-26T20:59:15.9622365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9622556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9622645Z     return mod(**inputs)
2025-08-26T20:59:15.9622913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9622984Z     outputs = self.roberta(
2025-08-26T20:59:15.9623256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9623342Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9623610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9623681Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9623921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9623997Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9624263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9624350Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9624584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9624661Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9624924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9625051Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9625323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9625408Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9625412Z 
2025-08-26T20:59:15.9625521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9625712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9625785Z     return mod(**inputs)
2025-08-26T20:59:15.9626053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9626121Z     outputs = self.roberta(
2025-08-26T20:59:15.9626393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9626466Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9626737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9626808Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9627039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9627126Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9627423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9627513Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9627763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9627848Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9628137Z   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
2025-08-26T20:59:15.9628254Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9628523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9628605Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9628623Z 
2025-08-26T20:59:15.9628734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9628923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9628989Z     return mod(**inputs)
2025-08-26T20:59:15.9629260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9629344Z     outputs = self.roberta(
2025-08-26T20:59:15.9629613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9629686Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9629973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9630044Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9630255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9630338Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9630595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9630683Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9630930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9631006Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9631302Z   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
2025-08-26T20:59:15.9631420Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9631690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9631799Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9632011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9632080Z     return self.act(input)
2025-08-26T20:59:15.9632083Z 
2025-08-26T20:59:15.9632185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9632386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9632450Z     return mod(**inputs)
2025-08-26T20:59:15.9632725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9632793Z     outputs = self.roberta(
2025-08-26T20:59:15.9633071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9633154Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9633421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9633498Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9633715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9633795Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9634068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9634150Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9634413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9634489Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9634804Z   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
2025-08-26T20:59:15.9634935Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9635268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9635357Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9635374Z 
2025-08-26T20:59:15.9635477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9635676Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9635742Z     return mod(**inputs)
2025-08-26T20:59:15.9636031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9636106Z     outputs = self.roberta(
2025-08-26T20:59:15.9636367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9636451Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9636715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9636794Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9637008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9637086Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9637354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9637438Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9637678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9637749Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9638017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9638092Z     self_outputs = self.self(
2025-08-26T20:59:15.9638318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9638395Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9638649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9638854Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9638858Z 
2025-08-26T20:59:15.9638971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9639158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9639229Z     return mod(**inputs)
2025-08-26T20:59:15.9639487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9639561Z     outputs = self.roberta(
2025-08-26T20:59:15.9639813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9639885Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9640147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9640217Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9640433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9640510Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9640783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9640862Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9641090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9641165Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9641420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9641519Z     self_outputs = self.self(
2025-08-26T20:59:15.9641745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9641829Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9642095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9642167Z     self.key(current_states)
2025-08-26T20:59:15.9642171Z 
2025-08-26T20:59:15.9642280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9642469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9642541Z     return mod(**inputs)
2025-08-26T20:59:15.9642808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9642876Z     outputs = self.roberta(
2025-08-26T20:59:15.9643137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9643209Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9643470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9643538Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9643744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9643829Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9644081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9644166Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9644393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9644460Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9644721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9644805Z     self_outputs = self.self(
2025-08-26T20:59:15.9645038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9645103Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9645361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9645432Z     self.value(current_states)
2025-08-26T20:59:15.9645435Z 
2025-08-26T20:59:15.9645515Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9645621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9645807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9645876Z     return mod(**inputs)
2025-08-26T20:59:15.9646133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9646202Z     outputs = self.roberta(
2025-08-26T20:59:15.9646476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9646546Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9646811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9646878Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9647087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9647187Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9647441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9647543Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9647771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9647845Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9648102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9648170Z     self_outputs = self.self(
2025-08-26T20:59:15.9648402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9648469Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9648731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9648859Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9648862Z 
2025-08-26T20:59:15.9648962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9649156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9649220Z     return mod(**inputs)
2025-08-26T20:59:15.9649492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9649558Z     outputs = self.roberta(
2025-08-26T20:59:15.9649824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9649895Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9650152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9650231Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9650439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9650523Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9650797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9650878Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9651110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9651176Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9651438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9651561Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9651823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9651905Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9651908Z 
2025-08-26T20:59:15.9652009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9652201Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9652278Z     return mod(**inputs)
2025-08-26T20:59:15.9652646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9652731Z     outputs = self.roberta(
2025-08-26T20:59:15.9653044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9653166Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9653444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9653527Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9653775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9653865Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9654149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9654238Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9654528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9654613Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9654947Z   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
2025-08-26T20:59:15.9655080Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9655372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9655472Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9655476Z 
2025-08-26T20:59:15.9655588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9655815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9655886Z     return mod(**inputs)
2025-08-26T20:59:15.9656200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9656276Z     outputs = self.roberta(
2025-08-26T20:59:15.9656578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9656666Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9656972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9657077Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9657315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9657403Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9657706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9657798Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9658081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9658165Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9658501Z   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
2025-08-26T20:59:15.9658632Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9658922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9659073Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9659306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9659389Z     return self.act(input)
2025-08-26T20:59:15.9659393Z 
2025-08-26T20:59:15.9659505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9659716Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9659813Z     return mod(**inputs)
2025-08-26T20:59:15.9660115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9660191Z     outputs = self.roberta(
2025-08-26T20:59:15.9660469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9660540Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9660804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9660874Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9661091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9661168Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9661430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9661512Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9661760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9661844Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9662135Z   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
2025-08-26T20:59:15.9662272Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9662533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9662613Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9662623Z 
2025-08-26T20:59:15.9662723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9662913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9662986Z     return mod(**inputs)
2025-08-26T20:59:15.9663251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9664226Z     outputs = self.roberta(
2025-08-26T20:59:15.9664498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9664571Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9664842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9664913Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9665133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9665213Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9665474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9665563Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9665800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9665878Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9666168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9666246Z     self_outputs = self.self(
2025-08-26T20:59:15.9666477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9666548Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9666817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 325, in forward
2025-08-26T20:59:15.9667036Z     self.query(hidden_states).view(bsz, -1, self.num_attention_heads, self.attention_head_size).transpose(1, 2)
2025-08-26T20:59:15.9667056Z 
2025-08-26T20:59:15.9667166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9667359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9667424Z     return mod(**inputs)
2025-08-26T20:59:15.9667701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9667769Z     outputs = self.roberta(
2025-08-26T20:59:15.9668035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9668107Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9668378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9668451Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9668664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9668753Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9669015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9669103Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9669340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9669408Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9669681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9669752Z     self_outputs = self.self(
2025-08-26T20:59:15.9669989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9670057Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9670347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 353, in forward
2025-08-26T20:59:15.9670418Z     self.key(current_states)
2025-08-26T20:59:15.9670421Z 
2025-08-26T20:59:15.9670525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9670720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9670784Z     return mod(**inputs)
2025-08-26T20:59:15.9671056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9671124Z     outputs = self.roberta(
2025-08-26T20:59:15.9671389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9671468Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9671731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9671808Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9672038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9672116Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9672383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9672463Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9672702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9672804Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9673069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9673163Z     self_outputs = self.self(
2025-08-26T20:59:15.9673387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9673464Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9673718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 358, in forward
2025-08-26T20:59:15.9673797Z     self.value(current_states)
2025-08-26T20:59:15.9673800Z 
2025-08-26T20:59:15.9673881Z cudagraph partition due to non gpu ops
2025-08-26T20:59:15.9673980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9674170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9674234Z     return mod(**inputs)
2025-08-26T20:59:15.9674498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9674565Z     outputs = self.roberta(
2025-08-26T20:59:15.9674820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9674895Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9675149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9675223Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9675428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9675511Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9675763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9675842Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9676074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9676154Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9676417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-26T20:59:15.9676483Z     self_outputs = self.self(
2025-08-26T20:59:15.9676705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9676777Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9677032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-26T20:59:15.9677168Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T20:59:15.9677171Z 
2025-08-26T20:59:15.9677268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9677459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9677526Z     return mod(**inputs)
2025-08-26T20:59:15.9677797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9677874Z     outputs = self.roberta(
2025-08-26T20:59:15.9678132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9678209Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9678465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9678549Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9678766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9678843Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9679148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-26T20:59:15.9679226Z     self_attention_outputs = self.attention(
2025-08-26T20:59:15.9679461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-26T20:59:15.9679528Z     return func(*args, **kwargs)
2025-08-26T20:59:15.9679782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 477, in forward
2025-08-26T20:59:15.9679912Z     attention_output = self.output(self_outputs[0], hidden_states)
2025-08-26T20:59:15.9680169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 413, in forward
2025-08-26T20:59:15.9680257Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9680260Z 
2025-08-26T20:59:15.9680359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9680546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9680619Z     return mod(**inputs)
2025-08-26T20:59:15.9680879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9680952Z     outputs = self.roberta(
2025-08-26T20:59:15.9681207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9681285Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9681543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9681612Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9681829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9681921Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9682187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9682271Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9682517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9682599Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9682885Z   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
2025-08-26T20:59:15.9683008Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9683262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 493, in forward
2025-08-26T20:59:15.9683350Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9683353Z 
2025-08-26T20:59:15.9683452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9683652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9683725Z     return mod(**inputs)
2025-08-26T20:59:15.9683984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9684057Z     outputs = self.roberta(
2025-08-26T20:59:15.9684309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9684392Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9684654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9684739Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9684958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9685033Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9685296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9685382Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9685629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9685711Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9686001Z   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
2025-08-26T20:59:15.9686124Z     intermediate_output = self.intermediate(attention_output)
2025-08-26T20:59:15.9686387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-26T20:59:15.9686496Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-26T20:59:15.9686709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T20:59:15.9686776Z     return self.act(input)
2025-08-26T20:59:15.9686779Z 
2025-08-26T20:59:15.9686886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9687076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9687147Z     return mod(**inputs)
2025-08-26T20:59:15.9687414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-26T20:59:15.9687480Z     outputs = self.roberta(
2025-08-26T20:59:15.9687750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-26T20:59:15.9687843Z     encoder_outputs = self.encoder(
2025-08-26T20:59:15.9688109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-26T20:59:15.9688179Z     layer_outputs = layer_module(
2025-08-26T20:59:15.9688385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:15.9688469Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:15.9688723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-26T20:59:15.9688811Z     layer_output = apply_chunking_to_forward(
2025-08-26T20:59:15.9689055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-26T20:59:15.9689130Z     return forward_fn(*input_tensors)
2025-08-26T20:59:15.9689418Z   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
2025-08-26T20:59:15.9689556Z     layer_output = self.output(intermediate_output, attention_output)
2025-08-26T20:59:15.9689822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 507, in forward
2025-08-26T20:59:15.9689901Z     hidden_states = self.dense(hidden_states)
2025-08-26T20:59:15.9689904Z 
2025-08-26T20:59:15.9690009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9690194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9690274Z     return mod(**inputs)
2025-08-26T20:59:15.9690546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-26T20:59:15.9690658Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T20:59:15.9690920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1143, in forward
2025-08-26T20:59:15.9690987Z     x = self.dense(features)
2025-08-26T20:59:15.9690993Z 
2025-08-26T20:59:15.9691097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:15.9691280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:15.9691343Z     return mod(**inputs)
2025-08-26T20:59:15.9691605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-26T20:59:15.9691700Z     prediction_scores = self.lm_head(sequence_output)
2025-08-26T20:59:15.9691964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1148, in forward
2025-08-26T20:59:15.9692029Z     x = self.decoder(x)
2025-08-26T20:59:15.9692033Z 
2025-08-26T20:59:27.5970667Z Compilation time (from dynamo_timed): 14.404192417
2025-08-26T20:59:27.7853437Z pass
2025-08-26T20:59:27.7854005Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:27.7860262Z TIMING: _recursive_pre_grad_passes:0.00645 _recursive_joint_graph_passes:0.62729 _recursive_post_grad_passes:0.06427 async_compile.wait:0.80685 code_gen:7.9541 inductor_compile:8.97485 backend_compile:11.82705 gc:0.00169 entire_frame_compile:14.40419 total_wall_time:14.40419
2025-08-26T20:59:27.7861958Z STATS: call_* op count: 293 | FakeTensorMode.__torch_dispatch__:12247 | FakeTensor.__torch_dispatch__:4290 | ProxyTorchDispatchMode.__torch_dispatch__:4464
2025-08-26T20:59:27.7862560Z Dynamo produced 1 graphs covering 293 ops with 0 graph breaks (0 unique)
2025-08-26T20:59:31.9274818Z 
2025-08-26T20:59:32.5666285Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:59:32.5670705Z 
2025-08-26T20:59:32.5705758Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-26T20:59:32.5710440Z config.json: 100% 1.21k/1.21k [00:00<00:00, 286kB/s]
2025-08-26T20:59:34.4423950Z 
2025-08-26T20:59:34.4424506Z loading model: 0it [00:02, ?it/s]
2025-08-26T20:59:34.4439420Z cpu  eval  hf_T5                              
2025-08-26T20:59:36.1945890Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:36.7419885Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:37.2730415Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:45.5612897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5613536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5613897Z     return mod(**inputs)
2025-08-26T20:59:45.5614293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5614734Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5615461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5615861Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5616225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5616609Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5617007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5617476Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5617860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5618244Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5618686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-26T20:59:45.5619078Z     position_bias = position_bias + causal_mask
2025-08-26T20:59:45.5619227Z 
2025-08-26T20:59:45.5619350Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5619721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5620078Z     return mod(**inputs)
2025-08-26T20:59:45.5620434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5620815Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5621190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5621561Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5621925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5622304Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5622683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5623058Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5623434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5623825Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5624208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5624596Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5624732Z 
2025-08-26T20:59:45.5624840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5625203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5625534Z     return mod(**inputs)
2025-08-26T20:59:45.5625946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5626331Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5626715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5627106Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5627501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5627894Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5628278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5628673Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5629064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5629463Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5629882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5630265Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5630416Z 
2025-08-26T20:59:45.5630523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5630904Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5631235Z     return mod(**inputs)
2025-08-26T20:59:45.5631591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5632010Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5632398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5632836Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5633183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5633539Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5633927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5634319Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5634703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5635085Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5635444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5635807Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5635938Z 
2025-08-26T20:59:45.5636030Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5636250Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5636481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5636836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5637156Z     return mod(**inputs)
2025-08-26T20:59:45.5637499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5637853Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5638211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5638582Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5638924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5639280Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5639642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5640028Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5640394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5640765Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5641130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5641486Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5641621Z 
2025-08-26T20:59:45.5641725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5642081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5642408Z     return mod(**inputs)
2025-08-26T20:59:45.5642745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5643116Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5643483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5643858Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5644199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5644554Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5644918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5645298Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5645734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5646140Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5646551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5646915Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5647060Z 
2025-08-26T20:59:45.5647174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5647536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5647866Z     return mod(**inputs)
2025-08-26T20:59:45.5648214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5648580Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5648950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5649318Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5649662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5650034Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5650417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5650811Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5651197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5651614Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5652025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5652405Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5652661Z 
2025-08-26T20:59:45.5652782Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5653205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5653566Z     return mod(**inputs)
2025-08-26T20:59:45.5653960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5654334Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5654714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5655092Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5655449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5655808Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5656189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5656579Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5656971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5657388Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5657808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5658191Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5658334Z 
2025-08-26T20:59:45.5658442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5658801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5659132Z     return mod(**inputs)
2025-08-26T20:59:45.5659470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5659859Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5660225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5660611Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5660953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5661319Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5661692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5662069Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5662442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5662811Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5663187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5663558Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5663692Z 
2025-08-26T20:59:45.5663807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5664167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5664490Z     return mod(**inputs)
2025-08-26T20:59:45.5664822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5665172Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5665528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5665869Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5666201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5666557Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5666926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5667281Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5667640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5668000Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5668356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5668706Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5668834Z 
2025-08-26T20:59:45.5668935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5669278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5669589Z     return mod(**inputs)
2025-08-26T20:59:45.5669921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5670270Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5670611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5670963Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5671306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5671657Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5672006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5672361Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5672714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5673093Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5673500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5673880Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5674017Z 
2025-08-26T20:59:45.5674098Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5674308Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5674542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5674889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5675201Z     return mod(**inputs)
2025-08-26T20:59:45.5675546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5675914Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5676277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5676631Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5676977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5677336Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5677705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5678075Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5678438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5678803Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5679175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5679530Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5679656Z 
2025-08-26T20:59:45.5679757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5680100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5680411Z     return mod(**inputs)
2025-08-26T20:59:45.5680760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5681117Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5681461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5681813Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5682143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5682488Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5682835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5683203Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5683572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5683967Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5684358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5684768Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5684908Z 
2025-08-26T20:59:45.5685010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5685355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5685669Z     return mod(**inputs)
2025-08-26T20:59:45.5685999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5686381Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5686738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5687112Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5687445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5687783Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5688137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5688502Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5688868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5689260Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5689642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5690000Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5690136Z 
2025-08-26T20:59:45.5690237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5690588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5690904Z     return mod(**inputs)
2025-08-26T20:59:45.5691233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5691590Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5691945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5692305Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5692717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5693099Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5693491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5693887Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5694297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5694692Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5695099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5695506Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5695639Z 
2025-08-26T20:59:45.5695752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5696107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5696419Z     return mod(**inputs)
2025-08-26T20:59:45.5696756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5697116Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5697478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5697829Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5698182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5698540Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5698902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5699267Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5699625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5700012Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5700380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5700759Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5700890Z 
2025-08-26T20:59:45.5701001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5701347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5701669Z     return mod(**inputs)
2025-08-26T20:59:45.5702009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5702373Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5702723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5703084Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5703420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5703771Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5704136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5704490Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5704856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5705224Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5705585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5705940Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5706077Z 
2025-08-26T20:59:45.5706181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5706697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5707032Z     return mod(**inputs)
2025-08-26T20:59:45.5707379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5707790Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5708155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5708521Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5708860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5709203Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5709567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5709934Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5710302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5710673Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5711033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5711396Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5711547Z 
2025-08-26T20:59:45.5711663Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5711874Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5712096Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5712437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5712746Z     return mod(**inputs)
2025-08-26T20:59:45.5713075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5713457Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5713798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5714181Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5714515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5714858Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5715210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5715558Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5715912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5716268Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5716621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5716970Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5717116Z 
2025-08-26T20:59:45.5717218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5717565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5717877Z     return mod(**inputs)
2025-08-26T20:59:45.5718207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5718552Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5718902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5719251Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5719575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5719912Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5720269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5720636Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5721023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5721417Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5721797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5722154Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5722289Z 
2025-08-26T20:59:45.5722390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5722732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5723043Z     return mod(**inputs)
2025-08-26T20:59:45.5723368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5723720Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5724070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5724421Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5724762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5725356Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5725711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5726075Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5726439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5726838Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5727225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5727596Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5727726Z 
2025-08-26T20:59:45.5727837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5728174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5728477Z     return mod(**inputs)
2025-08-26T20:59:45.5728807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5729156Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5729502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5729843Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5730172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5730514Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5730872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5731239Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5731594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5731980Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5732374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5732816Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5732953Z 
2025-08-26T20:59:45.5733065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5733414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5733735Z     return mod(**inputs)
2025-08-26T20:59:45.5734085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5734492Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5734866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5735251Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5735613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5735999Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5736378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5736759Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5737142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5737524Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5737913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5738287Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5738425Z 
2025-08-26T20:59:45.5738565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5738928Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5739254Z     return mod(**inputs)
2025-08-26T20:59:45.5739610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5739962Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5740337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5740699Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5741034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5741407Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5741765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5742134Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5742503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5742869Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5743228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5743594Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5743728Z 
2025-08-26T20:59:45.5743836Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5744191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5744511Z     return mod(**inputs)
2025-08-26T20:59:45.5744844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5745211Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5745573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5745938Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5746277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5746657Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5747026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5747396Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5747763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5748149Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5748521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5748888Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5749020Z 
2025-08-26T20:59:45.5749112Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5749327Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5749555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5749908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5750228Z     return mod(**inputs)
2025-08-26T20:59:45.5750566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5750920Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5751277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5751683Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5752030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5752378Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5752729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5753104Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5753456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5753835Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5754184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5754533Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5754682Z 
2025-08-26T20:59:45.5754787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5755126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5755435Z     return mod(**inputs)
2025-08-26T20:59:45.5755755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5756108Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5756455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5756808Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5757136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5757467Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5757818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5758175Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5758528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T20:59:45.5758924Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T20:59:45.5759109Z 
2025-08-26T20:59:45.5759210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5759548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5759856Z     return mod(**inputs)
2025-08-26T20:59:45.5760186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5760531Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5760880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5761231Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5761573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5761913Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5762272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5762641Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5763011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5763404Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5763787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5764149Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5764287Z 
2025-08-26T20:59:45.5764389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5764737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5765049Z     return mod(**inputs)
2025-08-26T20:59:45.5765390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5765745Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5766093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5766444Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5766783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5767127Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5767478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5767864Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5768228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5768615Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5769001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5769359Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5769488Z 
2025-08-26T20:59:45.5769598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5769950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5770262Z     return mod(**inputs)
2025-08-26T20:59:45.5770602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5770964Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5771322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5771673Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5772011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5772362Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5772822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5773235Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5773632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5774056Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5774456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5774851Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5774984Z 
2025-08-26T20:59:45.5775094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5775439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5775757Z     return mod(**inputs)
2025-08-26T20:59:45.5776095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5776456Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5776805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5777166Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5777499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5777855Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5778221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5778596Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5778965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5779336Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5779700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5780057Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5780220Z 
2025-08-26T20:59:45.5780325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5780678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5781006Z     return mod(**inputs)
2025-08-26T20:59:45.5781362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5781715Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5782071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5782429Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5782765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5783118Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5783472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5783839Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5784204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5784569Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5784926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5785291Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5785429Z 
2025-08-26T20:59:45.5785533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5785880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5786197Z     return mod(**inputs)
2025-08-26T20:59:45.5786525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5786887Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5787243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5787598Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5787960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5788319Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5788686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5789053Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5789428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5789782Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5790138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5790493Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5790620Z 
2025-08-26T20:59:45.5790706Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5790913Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5791137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5791478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5791789Z     return mod(**inputs)
2025-08-26T20:59:45.5792136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5792487Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5792836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5793185Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5793515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5793881Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5794236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5794635Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5794992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5795352Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5795698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5796060Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5796193Z 
2025-08-26T20:59:45.5796296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5796638Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5796949Z     return mod(**inputs)
2025-08-26T20:59:45.5797268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5797621Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5797969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5798322Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5798644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5798985Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5799336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5799703Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5800065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5800450Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5800836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5801206Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5801338Z 
2025-08-26T20:59:45.5801445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5801787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5802088Z     return mod(**inputs)
2025-08-26T20:59:45.5802418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5802765Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5803112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5803461Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5803789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5804130Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5804484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5804850Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5805223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5805612Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5805994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5806347Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5806628Z 
2025-08-26T20:59:45.5806748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5807088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5807405Z     return mod(**inputs)
2025-08-26T20:59:45.5807797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5808162Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5808514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5808876Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5809224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5809588Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5809959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5810343Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5810730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5811143Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5811553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5811930Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5812067Z 
2025-08-26T20:59:45.5812175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5812579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5812910Z     return mod(**inputs)
2025-08-26T20:59:45.5813293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5813699Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5814103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5814488Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5814882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5815242Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5815601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5815968Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5816332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5816701Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5817059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5817425Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5817562Z 
2025-08-26T20:59:45.5817665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5818020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5818339Z     return mod(**inputs)
2025-08-26T20:59:45.5818704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5819067Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5819424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5819785Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5820125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5820501Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5820864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5821229Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5821618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5821978Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5822339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5822699Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5822827Z 
2025-08-26T20:59:45.5822939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5823287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5823599Z     return mod(**inputs)
2025-08-26T20:59:45.5823936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5824294Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5824649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5825002Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5825341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5825694Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5826060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5826426Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5826783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5827156Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5827516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5827884Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5828013Z 
2025-08-26T20:59:45.5828101Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5828322Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5828556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5828897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5829206Z     return mod(**inputs)
2025-08-26T20:59:45.5829527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5829875Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5830219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5830567Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5830895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5831236Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5831599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5831962Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5832336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5832695Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5833059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5833421Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5833551Z 
2025-08-26T20:59:45.5833680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5834032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5834342Z     return mod(**inputs)
2025-08-26T20:59:45.5834708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5835087Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5835438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5835780Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5836109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5836452Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5836808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5837164Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5837509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5837867Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5838222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5838571Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5838694Z 
2025-08-26T20:59:45.5838801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5839135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5839441Z     return mod(**inputs)
2025-08-26T20:59:45.5839769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5840120Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5840464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5840814Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5841141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5841504Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5841858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5842208Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5842562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5842922Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5843274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5843623Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5843760Z 
2025-08-26T20:59:45.5843840Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5844060Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5844291Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5844630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5844929Z     return mod(**inputs)
2025-08-26T20:59:45.5845272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5845629Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5845982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5846328Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5846656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5847024Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5847380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5847757Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5848107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5848466Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5848824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5849176Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5849300Z 
2025-08-26T20:59:45.5849408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5849741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5850050Z     return mod(**inputs)
2025-08-26T20:59:45.5850378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5850728Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5851070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5851419Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5851745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5852088Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5852440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5852903Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5853299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5853691Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5854069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5854418Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5854555Z 
2025-08-26T20:59:45.5854676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5855026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5855337Z     return mod(**inputs)
2025-08-26T20:59:45.5855672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5856029Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5856389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5856739Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5857078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5857430Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5857789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5858154Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5858556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5858927Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5859273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5859627Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5859760Z 
2025-08-26T20:59:45.5859864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5860225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5860538Z     return mod(**inputs)
2025-08-26T20:59:45.5860866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5861245Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5861600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5861959Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5862291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5862647Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5863011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5863375Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5863741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T20:59:45.5864149Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T20:59:45.5864340Z 
2025-08-26T20:59:45.5864443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5864792Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5865110Z     return mod(**inputs)
2025-08-26T20:59:45.5865452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5865806Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5866162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5866520Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5866858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5867201Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5867563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5867957Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5868330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5868732Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5869124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5869486Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5869625Z 
2025-08-26T20:59:45.5869728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5870079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5870395Z     return mod(**inputs)
2025-08-26T20:59:45.5870725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5871084Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5871442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5871805Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5872142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5872487Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5872838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5873207Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5873588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5873972Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5874357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5874740Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5874869Z 
2025-08-26T20:59:45.5874978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5875326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5875634Z     return mod(**inputs)
2025-08-26T20:59:45.5875966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T20:59:45.5876323Z     encoder_outputs = self.encoder(
2025-08-26T20:59:45.5876669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5877013Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5877340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5877683Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5878034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5878402Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5878761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5879150Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5879532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5879888Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5880016Z 
2025-08-26T20:59:45.5880123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5880454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5880763Z     return mod(**inputs)
2025-08-26T20:59:45.5881110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5881470Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5881809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5882163Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5882489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5882830Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5883179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5883531Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5883885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5884248Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5884606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5884968Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5885105Z 
2025-08-26T20:59:45.5885205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5885546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5885857Z     return mod(**inputs)
2025-08-26T20:59:45.5886184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5886570Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5886916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5887266Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5887615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5887948Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5888302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5888657Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5889013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5889372Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5889719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5890080Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5890214Z 
2025-08-26T20:59:45.5890295Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5890506Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5890739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5891076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5891386Z     return mod(**inputs)
2025-08-26T20:59:45.5891720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5892073Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5892417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5892836Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5893182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5893541Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5893907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5894292Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5894670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5895035Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5895399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5895748Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5895882Z 
2025-08-26T20:59:45.5895985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5896344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5896670Z     return mod(**inputs)
2025-08-26T20:59:45.5897010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5897365Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5897726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5898088Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5898444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5898792Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5899158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5899537Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5899932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5900328Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5900715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5901096Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5901232Z 
2025-08-26T20:59:45.5901336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5901686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5902002Z     return mod(**inputs)
2025-08-26T20:59:45.5902332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5902693Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5903048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5903404Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5903731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5904082Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5904447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5904827Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5905199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5905592Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5905986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5906352Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5906486Z 
2025-08-26T20:59:45.5906720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5907080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5907410Z     return mod(**inputs)
2025-08-26T20:59:45.5907803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5908179Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5908533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5908879Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5909212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5909562Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5909915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5910289Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5910651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5911047Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5911437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5911827Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5911957Z 
2025-08-26T20:59:45.5912066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5912396Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5912704Z     return mod(**inputs)
2025-08-26T20:59:45.5913031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5913416Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5913759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5914138Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5914476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5914821Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5915175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5915528Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5915883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5916243Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5916602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5916950Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5917085Z 
2025-08-26T20:59:45.5917185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5917527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5917835Z     return mod(**inputs)
2025-08-26T20:59:45.5918167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5918512Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5918860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5919210Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5919540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5919889Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5920238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5920594Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5920969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5921329Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5921675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5922029Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5922160Z 
2025-08-26T20:59:45.5922263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5922604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5922917Z     return mod(**inputs)
2025-08-26T20:59:45.5923239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5923593Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5923940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5924293Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5924632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5924974Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5925325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5925686Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5926040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5926412Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5926771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5927126Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5927269Z 
2025-08-26T20:59:45.5927357Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5927571Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5927801Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5928148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5928461Z     return mod(**inputs)
2025-08-26T20:59:45.5928797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5929149Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5929502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5929858Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5930193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5930542Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5930894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5931255Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5931613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5931973Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5932330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5932768Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5932912Z 
2025-08-26T20:59:45.5933020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5933382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5933710Z     return mod(**inputs)
2025-08-26T20:59:45.5934092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5934466Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5934842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5935252Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5935601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5935972Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5936357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5936748Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5937128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5937511Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5937895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5938275Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5938442Z 
2025-08-26T20:59:45.5938561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5938919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5939241Z     return mod(**inputs)
2025-08-26T20:59:45.5939588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5939980Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5940342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5940703Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5941072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5941434Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5941806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5942182Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5942551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5942937Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5943314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5943685Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5943823Z 
2025-08-26T20:59:45.5943930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5944263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5944576Z     return mod(**inputs)
2025-08-26T20:59:45.5944909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5945259Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5945601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5945950Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5946277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5946617Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5946970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5947319Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5947693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5948055Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5948410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5948760Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5948896Z 
2025-08-26T20:59:45.5948974Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5949181Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5949409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5949747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5950053Z     return mod(**inputs)
2025-08-26T20:59:45.5950389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5950747Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5951100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5951445Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5951795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5952141Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5952494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5952856Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5953203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5953585Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5953946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5954320Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5954445Z 
2025-08-26T20:59:45.5954555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5954892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5955202Z     return mod(**inputs)
2025-08-26T20:59:45.5955530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5955881Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5956220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5956571Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5956901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5957241Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5957599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5957959Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5958326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5958714Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5959104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5959449Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5959587Z 
2025-08-26T20:59:45.5959688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5960030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5960335Z     return mod(**inputs)
2025-08-26T20:59:45.5960681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5961025Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5961372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5961723Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5962051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5962397Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5962742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5963112Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5963484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5963887Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5964332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5964740Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5964904Z 
2025-08-26T20:59:45.5965014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5965384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5965720Z     return mod(**inputs)
2025-08-26T20:59:45.5966078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5966467Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5966836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5967206Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5967572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5967946Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5968335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5968741Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5969143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5969564Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5969990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5970381Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5970522Z 
2025-08-26T20:59:45.5970645Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5971032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5971365Z     return mod(**inputs)
2025-08-26T20:59:45.5971729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5971817Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5972059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5972138Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5972376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5972468Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5972806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5972902Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5973181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5973284Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5973538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5973633Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5973637Z 
2025-08-26T20:59:45.5973755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5973951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5974019Z     return mod(**inputs)
2025-08-26T20:59:45.5974250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5974331Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5974556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5974638Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5974849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5974944Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5975181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5975262Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5975494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5975594Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5975817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5975900Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5975918Z 
2025-08-26T20:59:45.5976020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5976215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5976281Z     return mod(**inputs)
2025-08-26T20:59:45.5976515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5976586Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5976811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5976889Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5977101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5977185Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5977409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5977491Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5977721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5977804Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5978033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5978110Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5978113Z 
2025-08-26T20:59:45.5978192Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5978277Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5978379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5978576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5978641Z     return mod(**inputs)
2025-08-26T20:59:45.5978870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5978973Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5979204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5979283Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5979497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5979582Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5979808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5979888Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5980120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.5980201Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.5980434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5980510Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5980514Z 
2025-08-26T20:59:45.5980630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5980827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5980892Z     return mod(**inputs)
2025-08-26T20:59:45.5981125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5981197Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5981440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5981517Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5981732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5981836Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5982067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5982154Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.5982384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T20:59:45.5982515Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T20:59:45.5982519Z 
2025-08-26T20:59:45.5982630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5982821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5982893Z     return mod(**inputs)
2025-08-26T20:59:45.5983124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5983198Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5983436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5983508Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5983731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5983808Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5984039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5984119Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5984344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5984436Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5984661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.5984766Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.5984770Z 
2025-08-26T20:59:45.5984872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5985063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5985138Z     return mod(**inputs)
2025-08-26T20:59:45.5985364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5985443Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5985668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5985750Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5985962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5986040Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5986266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5986360Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5986588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5986671Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5986891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.5986972Z     key_states = self.k(current_states)
2025-08-26T20:59:45.5986992Z 
2025-08-26T20:59:45.5987094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5987295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5987391Z     return mod(**inputs)
2025-08-26T20:59:45.5987620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5987700Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5987926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5988003Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5988216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5988292Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5988526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5988607Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5988838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5988923Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5989157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.5989236Z     value_states = self.v(current_states)
2025-08-26T20:59:45.5989240Z 
2025-08-26T20:59:45.5989319Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5989404Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.5989503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5989700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5989766Z     return mod(**inputs)
2025-08-26T20:59:45.5989996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5990075Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5990300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5990398Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5990612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5990690Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5990919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.5990998Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.5991227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.5991311Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.5991543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.5991620Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.5991625Z 
2025-08-26T20:59:45.5991736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5991926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5991990Z     return mod(**inputs)
2025-08-26T20:59:45.5992232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5992304Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5992522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5992600Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5992821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5992902Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5993120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5993228Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5993453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5993566Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5993791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.5993869Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.5993872Z 
2025-08-26T20:59:45.5993978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5994166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5994229Z     return mod(**inputs)
2025-08-26T20:59:45.5994459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5994530Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5994759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5994830Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5995035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5995119Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5995335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5995430Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5995654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5995767Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5995992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.5996088Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.5996091Z 
2025-08-26T20:59:45.5996200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5996386Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5996459Z     return mod(**inputs)
2025-08-26T20:59:45.5996682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5996752Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5996981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5997052Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5997264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5997341Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5997559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.5997674Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.5997893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.5998013Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.5998229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.5998337Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.5998340Z 
2025-08-26T20:59:45.5998438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.5998625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.5998731Z     return mod(**inputs)
2025-08-26T20:59:45.5998954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.5999032Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.5999254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.5999323Z     layer_outputs = layer_module(
2025-08-26T20:59:45.5999537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.5999612Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.5999835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.5999915Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6000131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6000219Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6000437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.6000520Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.6000523Z 
2025-08-26T20:59:45.6000620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6000812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6000876Z     return mod(**inputs)
2025-08-26T20:59:45.6001099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6001179Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6001400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6001479Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6001705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6001784Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6002008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6002086Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6002310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6002391Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6002606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.6002687Z     key_states = self.k(current_states)
2025-08-26T20:59:45.6002690Z 
2025-08-26T20:59:45.6002788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6002981Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6003047Z     return mod(**inputs)
2025-08-26T20:59:45.6003292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6003365Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6003584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6003664Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6003869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6003970Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6004187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6004263Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6004504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6004582Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6004805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.6004880Z     value_states = self.v(current_states)
2025-08-26T20:59:45.6004884Z 
2025-08-26T20:59:45.6004965Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6005042Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6005138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6005330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6005394Z     return mod(**inputs)
2025-08-26T20:59:45.6005619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6005690Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6005907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6005984Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6006191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6006273Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6006664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6006753Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6006984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6007064Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6007294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.6007421Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.6007426Z 
2025-08-26T20:59:45.6007531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6007729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6007796Z     return mod(**inputs)
2025-08-26T20:59:45.6008030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6008101Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6008332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6008404Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6008618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6008705Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6008930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6009020Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6009284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6009375Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6009618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.6009700Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.6009729Z 
2025-08-26T20:59:45.6009847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6010049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6010121Z     return mod(**inputs)
2025-08-26T20:59:45.6010397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6010476Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6010722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6010797Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6011028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6011111Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6011344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6011436Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6011678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6011774Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6012003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.6012080Z     key_states = self.k(current_states)
2025-08-26T20:59:45.6012085Z 
2025-08-26T20:59:45.6012196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6012394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6012468Z     return mod(**inputs)
2025-08-26T20:59:45.6012787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6012873Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6013119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6013193Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6013428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6013552Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6013800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6013883Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6014120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6014211Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6014433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.6014521Z     value_states = self.v(current_states)
2025-08-26T20:59:45.6014524Z 
2025-08-26T20:59:45.6014607Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6014687Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6014799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6014993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6015071Z     return mod(**inputs)
2025-08-26T20:59:45.6015318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6015392Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6015626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6015696Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6015916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6016013Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6016245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6016341Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6016565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6016655Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6016877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.6016959Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.6016963Z 
2025-08-26T20:59:45.6017062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6017252Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6017325Z     return mod(**inputs)
2025-08-26T20:59:45.6017555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6017633Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6017862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6017933Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6018151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6018227Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6018455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6018534Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6018763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T20:59:45.6018894Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T20:59:45.6018898Z 
2025-08-26T20:59:45.6018996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6019208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6019276Z     return mod(**inputs)
2025-08-26T20:59:45.6019513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6019585Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6019811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6019891Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6020101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6020186Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6020408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6020497Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6020731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6020845Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6021091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.6021172Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.6021175Z 
2025-08-26T20:59:45.6021283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6021470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6021578Z     return mod(**inputs)
2025-08-26T20:59:45.6021811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6021884Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6022136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6022209Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6022422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6022508Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6022729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6022825Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6023049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6023170Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6023391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.6023471Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.6023474Z 
2025-08-26T20:59:45.6023584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6023782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6023854Z     return mod(**inputs)
2025-08-26T20:59:45.6024074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6024143Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6024373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6024443Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6024657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6024736Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6024969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6025066Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6025288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6025410Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6025627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.6025714Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.6025717Z 
2025-08-26T20:59:45.6025816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6026001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6026072Z     return mod(**inputs)
2025-08-26T20:59:45.6026291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6026372Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6026607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6026676Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6026893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6026968Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6027196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6027290Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6027512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6027592Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6027830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.6027914Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.6027917Z 
2025-08-26T20:59:45.6028018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6028208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6028272Z     return mod(**inputs)
2025-08-26T20:59:45.6028491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6028568Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6028789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6028864Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6029071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6029149Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6029372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6029451Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6029674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6029753Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6029982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.6030059Z     key_states = self.k(current_states)
2025-08-26T20:59:45.6030064Z 
2025-08-26T20:59:45.6030162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6030353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6030420Z     return mod(**inputs)
2025-08-26T20:59:45.6030662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6030734Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6030953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6031028Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6031234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6031316Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6031535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6031612Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6031834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6031917Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6032137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.6032229Z     value_states = self.v(current_states)
2025-08-26T20:59:45.6032233Z 
2025-08-26T20:59:45.6032319Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6032395Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6032493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6032684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6032766Z     return mod(**inputs)
2025-08-26T20:59:45.6032995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6033064Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6033300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6033378Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6033584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6033669Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6033886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6033962Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6034186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6034267Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6034496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.6034571Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.6034574Z 
2025-08-26T20:59:45.6034679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6034866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6034932Z     return mod(**inputs)
2025-08-26T20:59:45.6035159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6035229Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6035458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6035528Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6035737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6035821Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6036041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6036158Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6036384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6036468Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6036696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.6036771Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.6036775Z 
2025-08-26T20:59:45.6036881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6037067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6037138Z     return mod(**inputs)
2025-08-26T20:59:45.6037366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6037437Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6037669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6037755Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6037975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6038051Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6038271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6038360Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6038595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6038683Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6038902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.6038992Z     key_states = self.k(current_states)
2025-08-26T20:59:45.6039003Z 
2025-08-26T20:59:45.6039102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6039294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6039365Z     return mod(**inputs)
2025-08-26T20:59:45.6039592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6039670Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6039898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6039968Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6040187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6040262Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6040495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6040574Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6040799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6040886Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6041110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.6041193Z     value_states = self.v(current_states)
2025-08-26T20:59:45.6041198Z 
2025-08-26T20:59:45.6041276Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6041353Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6041462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6041653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6041740Z     return mod(**inputs)
2025-08-26T20:59:45.6041966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6042043Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6042265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6042333Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6042547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6042624Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6042850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6042928Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6043150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6043239Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6043480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.6043564Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.6043567Z 
2025-08-26T20:59:45.6043665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6043851Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6043922Z     return mod(**inputs)
2025-08-26T20:59:45.6044164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6044242Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6044463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6044556Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6044761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6044837Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6045062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6045148Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6045371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6045486Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6045702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.6045786Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.6045791Z 
2025-08-26T20:59:45.6045890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6046081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6046146Z     return mod(**inputs)
2025-08-26T20:59:45.6046366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6046442Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6046659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6046736Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6046942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6047024Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6047240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6047344Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6047575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6047691Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6047920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.6047999Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.6048002Z 
2025-08-26T20:59:45.6048103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6048310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6048374Z     return mod(**inputs)
2025-08-26T20:59:45.6048600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6048676Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6048903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6048988Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6049199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6049283Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6049504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6049599Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6049835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6049944Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6050185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.6050264Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.6050267Z 
2025-08-26T20:59:45.6050373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6050559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6050624Z     return mod(**inputs)
2025-08-26T20:59:45.6050854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6050924Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6051150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6051222Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6051435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6051513Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6051731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6051826Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6052046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-26T20:59:45.6052178Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-26T20:59:45.6052182Z 
2025-08-26T20:59:45.6052279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6052463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6052605Z     return mod(**inputs)
2025-08-26T20:59:45.6052840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6052927Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6053179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6053255Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6053478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6053558Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6053794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6053877Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6054117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6054201Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6054429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.6054519Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.6054523Z 
2025-08-26T20:59:45.6054625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6054845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6054915Z     return mod(**inputs)
2025-08-26T20:59:45.6055143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6055223Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6055457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6055552Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6055758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6055851Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6056082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6056164Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6056401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6056487Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6056724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.6056801Z     key_states = self.k(current_states)
2025-08-26T20:59:45.6056806Z 
2025-08-26T20:59:45.6056909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6057111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6057180Z     return mod(**inputs)
2025-08-26T20:59:45.6057424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6057500Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6057734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6057816Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6058035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6058125Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6058356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6058447Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6058679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6058763Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6059017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.6059096Z     value_states = self.v(current_states)
2025-08-26T20:59:45.6059099Z 
2025-08-26T20:59:45.6059189Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6059267Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6059366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6059569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6059635Z     return mod(**inputs)
2025-08-26T20:59:45.6059871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6059944Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6060172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6060252Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6060468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6060569Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6060798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T20:59:45.6060876Z     self_attention_outputs = self.layer[0](
2025-08-26T20:59:45.6061111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T20:59:45.6061192Z     attention_output = self.SelfAttention(
2025-08-26T20:59:45.6061442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.6061518Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.6061522Z 
2025-08-26T20:59:45.6061646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6061838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6061903Z     return mod(**inputs)
2025-08-26T20:59:45.6062142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6062213Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6062449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6062520Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6062732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6062820Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6063045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6063134Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6063358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6063444Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6063677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T20:59:45.6063754Z     query_states = self.q(hidden_states)
2025-08-26T20:59:45.6063758Z 
2025-08-26T20:59:45.6063867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6064058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6064134Z     return mod(**inputs)
2025-08-26T20:59:45.6064362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6064436Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6064701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6064773Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6064998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6065076Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6065298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6065387Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6065610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6065702Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6065927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T20:59:45.6066010Z     key_states = self.k(current_states)
2025-08-26T20:59:45.6066013Z 
2025-08-26T20:59:45.6066116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6066319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6066398Z     return mod(**inputs)
2025-08-26T20:59:45.6066623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6066701Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6066925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6067015Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6067240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6067318Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6067569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6067648Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6067877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6067969Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6068192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T20:59:45.6068277Z     value_states = self.v(current_states)
2025-08-26T20:59:45.6068280Z 
2025-08-26T20:59:45.6068360Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6068449Z cudagraph partition due to non gpu ops
2025-08-26T20:59:45.6068549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6068740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6068828Z     return mod(**inputs)
2025-08-26T20:59:45.6069056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6069137Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6069364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6069433Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6069649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6069725Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6069952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T20:59:45.6070031Z     cross_attention_outputs = self.layer[1](
2025-08-26T20:59:45.6070250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T20:59:45.6070340Z     attention_output = self.EncDecAttention(
2025-08-26T20:59:45.6070574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T20:59:45.6070658Z     attn_output = self.o(attn_output)
2025-08-26T20:59:45.6070661Z 
2025-08-26T20:59:45.6070759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6070950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6071013Z     return mod(**inputs)
2025-08-26T20:59:45.6071233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6071311Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6071530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6071607Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6071814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6071887Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6072130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6072220Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6072442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6072552Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6072786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T20:59:45.6072871Z     hidden_states = self.wi(hidden_states)
2025-08-26T20:59:45.6072874Z 
2025-08-26T20:59:45.6072972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6073181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6073245Z     return mod(**inputs)
2025-08-26T20:59:45.6073475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6073545Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6073762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6073838Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6074044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6074131Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6074348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6074437Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6074665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6074776Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6075002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T20:59:45.6075078Z     hidden_states = self.act(hidden_states)
2025-08-26T20:59:45.6075082Z 
2025-08-26T20:59:45.6075186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6075375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6075440Z     return mod(**inputs)
2025-08-26T20:59:45.6075668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T20:59:45.6075739Z     decoder_outputs = self.decoder(
2025-08-26T20:59:45.6075983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T20:59:45.6076054Z     layer_outputs = layer_module(
2025-08-26T20:59:45.6076265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T20:59:45.6076349Z     return super().__call__(*args, **kwargs)
2025-08-26T20:59:45.6076574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T20:59:45.6076668Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T20:59:45.6076890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T20:59:45.6077000Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T20:59:45.6077231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T20:59:45.6077310Z     hidden_states = self.wo(hidden_states)
2025-08-26T20:59:45.6077315Z 
2025-08-26T20:59:45.6077423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T20:59:45.6077630Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T20:59:45.6077704Z     return mod(**inputs)
2025-08-26T20:59:45.6077930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-26T20:59:45.6078014Z     lm_logits = self.lm_head(sequence_output)
2025-08-26T20:59:45.6078018Z 
2025-08-26T20:59:54.5528758Z Compilation time (from dynamo_timed): 15.55887824
2025-08-26T20:59:54.6002933Z pass
2025-08-26T20:59:54.6003633Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T20:59:54.6004552Z TIMING: _recursive_pre_grad_passes:0.01124 _recursive_joint_graph_passes:0.56751 _recursive_post_grad_passes:0.06374 async_compile.wait:0.50324 code_gen:7.92531 inductor_compile:9.00704 backend_compile:12.79964 gc:0.00076 entire_frame_compile:15.55888 total_wall_time:15.55888
2025-08-26T20:59:54.6007524Z STATS: call_* op count: 806 | FakeTensorMode.__torch_dispatch__:20048 | FakeTensor.__torch_dispatch__:3963 | ProxyTorchDispatchMode.__torch_dispatch__:7748
2025-08-26T20:59:54.6009365Z Dynamo produced 1 graphs covering 806 ops with 0 graph breaks (0 unique)
2025-08-26T20:59:58.8205646Z 
2025-08-26T20:59:59.5161334Z loading model: 0it [00:00, ?it/s]
2025-08-26T20:59:59.5165008Z 
2025-08-26T20:59:59.5196738Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-26T20:59:59.5198419Z config.json: 100% 1.21k/1.21k [00:00<00:00, 302kB/s]
2025-08-26T21:00:12.1275202Z 
2025-08-26T21:00:12.1277482Z loading model: 0it [00:13, ?it/s]
2025-08-26T21:00:12.1293834Z cpu  eval  hf_T5_base                         
2025-08-26T21:00:37.7542178Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:00:56.3405589Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:01:14.5601721Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:01:29.3731969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3732393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3735027Z     return mod(**inputs)
2025-08-26T21:01:29.3735502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.3735887Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.3736312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3740346Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3740863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3745408Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3745882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3749406Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3749864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3755525Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3759674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-26T21:01:29.3761309Z     position_bias = position_bias + causal_mask
2025-08-26T21:01:29.3761498Z 
2025-08-26T21:01:29.3761627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3761999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3762341Z     return mod(**inputs)
2025-08-26T21:01:29.3762705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3763590Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3763972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3764334Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3764685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3765053Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3765494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3765859Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3766211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3766643Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3767014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.3767417Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.3767550Z 
2025-08-26T21:01:29.3767656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3768006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3768350Z     return mod(**inputs)
2025-08-26T21:01:29.3768697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3769104Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3769458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3769838Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3770194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3770552Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3770929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3771297Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3771672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3772051Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3772426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.3772905Z     key_states = self.k(current_states)
2025-08-26T21:01:29.3773049Z 
2025-08-26T21:01:29.3773163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3773593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3773932Z     return mod(**inputs)
2025-08-26T21:01:29.3774300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3774684Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3775049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3775417Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3775764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3776387Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3776753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3777131Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3777493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3777860Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3778254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.3778614Z     value_states = self.v(current_states)
2025-08-26T21:01:29.3778755Z 
2025-08-26T21:01:29.3778840Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3779063Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3779308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3779670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3779989Z     return mod(**inputs)
2025-08-26T21:01:29.3780328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3780717Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3781058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3781423Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3781764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3782114Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3782476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3782880Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3783242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3783608Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3783970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.3784334Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.3784461Z 
2025-08-26T21:01:29.3784564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3784944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3785252Z     return mod(**inputs)
2025-08-26T21:01:29.3785592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3785950Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3786302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3786663Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3786993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3787346Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3787731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3788111Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3788481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3788881Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3789281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.3789647Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.3789779Z 
2025-08-26T21:01:29.3789888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3790231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3790547Z     return mod(**inputs)
2025-08-26T21:01:29.3790882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3791239Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3791608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3791963Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3792298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3792665Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3793029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3793433Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3793820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3794259Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3794649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.3795005Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.3795134Z 
2025-08-26T21:01:29.3795234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3795581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3795899Z     return mod(**inputs)
2025-08-26T21:01:29.3796238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3796600Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3796949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3797308Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3797655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3798012Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3811165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3811729Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3812141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3812563Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3813082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.3813484Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.3813635Z 
2025-08-26T21:01:29.3813769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3814251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3814581Z     return mod(**inputs)
2025-08-26T21:01:29.3814936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3815314Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3815684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3816053Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3816401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3816771Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3817156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3817535Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3817898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3818270Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3818681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.3819048Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.3819182Z 
2025-08-26T21:01:29.3819298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3819647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3820016Z     return mod(**inputs)
2025-08-26T21:01:29.3820359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3820728Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3821122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3821478Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3821826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3822186Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3822548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3822909Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3823272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3823640Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3824007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.3824373Z     key_states = self.k(current_states)
2025-08-26T21:01:29.3824502Z 
2025-08-26T21:01:29.3824609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3824959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3825275Z     return mod(**inputs)
2025-08-26T21:01:29.3825617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3825970Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3826334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3826695Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3827040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3827376Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3827729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3828101Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3828459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3828818Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3829163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.3829515Z     value_states = self.v(current_states)
2025-08-26T21:01:29.3829649Z 
2025-08-26T21:01:29.3829729Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3829938Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3830159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3830498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3830808Z     return mod(**inputs)
2025-08-26T21:01:29.3831143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3831497Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3831856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3832215Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3832550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3832901Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3833253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3833629Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3833981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3834362Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3834721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.3835070Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.3835201Z 
2025-08-26T21:01:29.3835302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3835645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3835951Z     return mod(**inputs)
2025-08-26T21:01:29.3836284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3836631Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3836978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3837328Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3837662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3838001Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3838359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3838727Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3839096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3839489Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3839871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.3840226Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.3840360Z 
2025-08-26T21:01:29.3840461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3840818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3841128Z     return mod(**inputs)
2025-08-26T21:01:29.3841451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3841805Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3842154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3842503Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3842827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3843172Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3843525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3843891Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3844257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3844638Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3845039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.3845393Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.3845523Z 
2025-08-26T21:01:29.3845630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3845961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3846284Z     return mod(**inputs)
2025-08-26T21:01:29.3846615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3846966Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3847330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3847675Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3848007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3848348Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3848699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3849066Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3849421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3849812Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3850197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.3850553Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.3850683Z 
2025-08-26T21:01:29.3850786Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3851129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3851438Z     return mod(**inputs)
2025-08-26T21:01:29.3851769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3852119Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3852458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3852895Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3853236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3853594Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3854008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3854378Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3854748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3855104Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3855458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.3855803Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.3855938Z 
2025-08-26T21:01:29.3856038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3856379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3856690Z     return mod(**inputs)
2025-08-26T21:01:29.3857021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3857372Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3857721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3858087Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3858419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3858755Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3859107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3859484Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3859842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3860201Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3860562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.3860913Z     key_states = self.k(current_states)
2025-08-26T21:01:29.3861048Z 
2025-08-26T21:01:29.3861149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3861487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3861793Z     return mod(**inputs)
2025-08-26T21:01:29.3862113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3862464Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3862810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3863155Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3863476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3863819Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3864170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3864526Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3864877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3865226Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3865580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.3865932Z     value_states = self.v(current_states)
2025-08-26T21:01:29.3866060Z 
2025-08-26T21:01:29.3866148Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3866349Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3866582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3866935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3867246Z     return mod(**inputs)
2025-08-26T21:01:29.3867576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3867923Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3868268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3868613Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3868940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3869275Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3869624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3869980Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3870333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3870687Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3871046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.3871398Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.3871528Z 
2025-08-26T21:01:29.3871629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3871971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3872279Z     return mod(**inputs)
2025-08-26T21:01:29.3872622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3872976Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3873327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3873700Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3874031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3874388Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3874749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3875125Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3875497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3875891Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3876287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.3876648Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.3876794Z 
2025-08-26T21:01:29.3876898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3877244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3877561Z     return mod(**inputs)
2025-08-26T21:01:29.3877898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3878250Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3878605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3878962Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3879301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3879643Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3880003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3880390Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3880755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3881144Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3881521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.3881877Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.3882012Z 
2025-08-26T21:01:29.3882110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3882450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3882759Z     return mod(**inputs)
2025-08-26T21:01:29.3883081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3883435Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3883781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3884950Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3885288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3885630Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3885989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3886359Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3886751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3887138Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3887551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.3887905Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.3888033Z 
2025-08-26T21:01:29.3888141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3888479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3888782Z     return mod(**inputs)
2025-08-26T21:01:29.3889112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3889464Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3889810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3890153Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3890482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3890829Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3891181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3891539Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3891888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3892244Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3892669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.3893041Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.3893182Z 
2025-08-26T21:01:29.3893288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3893641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3893962Z     return mod(**inputs)
2025-08-26T21:01:29.3894322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3894687Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3895036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3895397Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3895735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3896091Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3896460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3896819Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3897182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3897553Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3897918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.3898312Z     key_states = self.k(current_states)
2025-08-26T21:01:29.3898452Z 
2025-08-26T21:01:29.3898556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3898905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3899222Z     return mod(**inputs)
2025-08-26T21:01:29.3899561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3899935Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3900292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3900680Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3901019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3901365Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3901730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3902096Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3902460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3902825Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3903180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.3903542Z     value_states = self.v(current_states)
2025-08-26T21:01:29.3903681Z 
2025-08-26T21:01:29.3903763Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3903976Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3904204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3904552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3904869Z     return mod(**inputs)
2025-08-26T21:01:29.3905207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3905571Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3905921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3906281Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3906775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3907144Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3907509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3907912Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3908278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3908645Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3909009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.3909364Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.3909498Z 
2025-08-26T21:01:29.3909603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3909959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3910267Z     return mod(**inputs)
2025-08-26T21:01:29.3910595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3910944Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3911295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3911647Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3912000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3912340Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3912695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3913057Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3913433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.3913835Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.3914012Z 
2025-08-26T21:01:29.3914140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3914487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3914799Z     return mod(**inputs)
2025-08-26T21:01:29.3915129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3915482Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3915824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3916174Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3916506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3916853Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3917207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3917582Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3917952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3918344Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3918731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.3919078Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.3919213Z 
2025-08-26T21:01:29.3919317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3919656Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3919964Z     return mod(**inputs)
2025-08-26T21:01:29.3920294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3920637Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3921003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3921357Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3921689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3922027Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3922381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3922752Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3923116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3923503Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3923895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.3924247Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.3924382Z 
2025-08-26T21:01:29.3924484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3924842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3925149Z     return mod(**inputs)
2025-08-26T21:01:29.3925472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3925823Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3926170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3926547Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3926884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3927238Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3927591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3927957Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3928323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3928709Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3929089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.3929443Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.3929579Z 
2025-08-26T21:01:29.3929681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3930019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3930322Z     return mod(**inputs)
2025-08-26T21:01:29.3930649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3931003Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3931365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3931725Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3932054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3932407Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3932844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3933239Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3933628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3934013Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3934423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.3934804Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.3934949Z 
2025-08-26T21:01:29.3935062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3935408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3935730Z     return mod(**inputs)
2025-08-26T21:01:29.3936070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3936437Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3936795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3937150Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3937492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3937847Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3938226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3938585Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3938950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3939314Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3939682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.3940059Z     key_states = self.k(current_states)
2025-08-26T21:01:29.3940189Z 
2025-08-26T21:01:29.3940293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3940642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3940976Z     return mod(**inputs)
2025-08-26T21:01:29.3941316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3941677Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3942028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3942387Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3942724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3943079Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3943435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3943798Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3944161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3944525Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3944888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.3945244Z     value_states = self.v(current_states)
2025-08-26T21:01:29.3945383Z 
2025-08-26T21:01:29.3945465Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3945680Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3945922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3946251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3946561Z     return mod(**inputs)
2025-08-26T21:01:29.3946891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3947242Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3947599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3947943Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3948284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3948635Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3948994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3949349Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3949706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3950073Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3950431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.3950788Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.3950916Z 
2025-08-26T21:01:29.3951020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3951381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3951691Z     return mod(**inputs)
2025-08-26T21:01:29.3952016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3952369Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3952713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3953088Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3953413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3953755Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3954118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3954482Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3954844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3955232Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3955618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.3955966Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.3956097Z 
2025-08-26T21:01:29.3956200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3956536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3956844Z     return mod(**inputs)
2025-08-26T21:01:29.3957178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3957528Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3957880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3958228Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3958558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3958897Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3959250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3959619Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3959986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3960381Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3960776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.3961131Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.3961266Z 
2025-08-26T21:01:29.3961367Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3961705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3962013Z     return mod(**inputs)
2025-08-26T21:01:29.3962330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3962681Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3963028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3963371Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3963692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3964033Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3964396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3964759Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3965118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3965494Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3965872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.3966241Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.3966374Z 
2025-08-26T21:01:29.3966481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3966832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3967132Z     return mod(**inputs)
2025-08-26T21:01:29.3967454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3967799Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3968136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3968474Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3968797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3969133Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3969477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3969823Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3970165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3970512Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3970861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.3971204Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.3971330Z 
2025-08-26T21:01:29.3971428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3971760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3972061Z     return mod(**inputs)
2025-08-26T21:01:29.3972392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3972838Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3973213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3973613Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3973958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3974352Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3974731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3975119Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3975505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3975894Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3976278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.3976652Z     key_states = self.k(current_states)
2025-08-26T21:01:29.3976801Z 
2025-08-26T21:01:29.3976909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3977277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3977610Z     return mod(**inputs)
2025-08-26T21:01:29.3977977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3978354Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3978727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3979101Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3979451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3979834Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3980215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3980632Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3981015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3981400Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3981774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.3982128Z     value_states = self.v(current_states)
2025-08-26T21:01:29.3982263Z 
2025-08-26T21:01:29.3982341Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3982548Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.3982772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3983110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3983417Z     return mod(**inputs)
2025-08-26T21:01:29.3983743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3984099Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3984441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3984789Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3985118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3985460Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3985853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3986220Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3986574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.3986938Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.3987317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.3987669Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.3987804Z 
2025-08-26T21:01:29.3987909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3988253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3988566Z     return mod(**inputs)
2025-08-26T21:01:29.3988898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3989245Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3989593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3989944Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3990274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3990617Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3990987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.3991343Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.3991697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.3992098Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.3992274Z 
2025-08-26T21:01:29.3992373Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3992730Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3993038Z     return mod(**inputs)
2025-08-26T21:01:29.3993366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3993733Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3994071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3994419Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3994747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.3995087Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.3995431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.3995793Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.3996155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.3996546Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.3996932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.3997277Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.3997411Z 
2025-08-26T21:01:29.3997513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.3997853Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.3998166Z     return mod(**inputs)
2025-08-26T21:01:29.3998488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.3998835Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.3999184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.3999532Z     layer_outputs = layer_module(
2025-08-26T21:01:29.3999859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4000196Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4000564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4000936Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4001308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4001705Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4002090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4002453Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4002591Z 
2025-08-26T21:01:29.4002692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4003038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4003347Z     return mod(**inputs)
2025-08-26T21:01:29.4003683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4004046Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4004425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4004778Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4005106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4005455Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4005828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4006193Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4006718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4007151Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4007539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4007896Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4008026Z 
2025-08-26T21:01:29.4008134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4008466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4008774Z     return mod(**inputs)
2025-08-26T21:01:29.4009103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4009462Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4009810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4010153Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4010485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4010834Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4011190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4011544Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4011895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4012253Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4012671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4013059Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4013196Z 
2025-08-26T21:01:29.4013302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4013714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4014056Z     return mod(**inputs)
2025-08-26T21:01:29.4014405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4014776Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4015135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4015504Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4015859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4016213Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4016578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4016955Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4017334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4017708Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4018103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4018467Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4018608Z 
2025-08-26T21:01:29.4018715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4019073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4019415Z     return mod(**inputs)
2025-08-26T21:01:29.4019746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4020110Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4020483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4020844Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4021180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4021531Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4021894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4022257Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4022616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4022985Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4023341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4023709Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4023846Z 
2025-08-26T21:01:29.4023929Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4024141Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4024368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4024718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4025040Z     return mod(**inputs)
2025-08-26T21:01:29.4025377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4025742Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4026090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4026450Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4026784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4027139Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4027510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4027884Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4028232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4028586Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4028936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4029277Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4029409Z 
2025-08-26T21:01:29.4029510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4029852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4030161Z     return mod(**inputs)
2025-08-26T21:01:29.4030482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4030833Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4031193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4031546Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4031874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4032209Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4032560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4032947Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4033312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4033716Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4034103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4034464Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4034599Z 
2025-08-26T21:01:29.4034703Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4035049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4035354Z     return mod(**inputs)
2025-08-26T21:01:29.4035689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4036046Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4036399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4036758Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4037087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4037437Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4037800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4038172Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4038543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4038931Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4039324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4039687Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4039820Z 
2025-08-26T21:01:29.4039933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4040300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4040612Z     return mod(**inputs)
2025-08-26T21:01:29.4040942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4041304Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4041652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4041995Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4042320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4042662Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4043014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4043382Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4043738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4044145Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4044531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4044881Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4045009Z 
2025-08-26T21:01:29.4045110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4045447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4045773Z     return mod(**inputs)
2025-08-26T21:01:29.4046101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4046449Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4046808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4047159Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4047489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4047836Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4048183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4048544Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4048895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4049257Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4049615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4049965Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4050101Z 
2025-08-26T21:01:29.4050208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4050548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4050858Z     return mod(**inputs)
2025-08-26T21:01:29.4051190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4051536Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4051882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4052234Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4052562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4052980Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4053390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4053763Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4054129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4054499Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4054860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4055269Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4055407Z 
2025-08-26T21:01:29.4055513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4055863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4056170Z     return mod(**inputs)
2025-08-26T21:01:29.4056504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4056869Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4057225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4057599Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4057930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4058284Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4058650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4059033Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4059396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4059751Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4060162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4060536Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4060672Z 
2025-08-26T21:01:29.4060764Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4060977Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4061220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4061578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4061902Z     return mod(**inputs)
2025-08-26T21:01:29.4062249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4062620Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4062985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4063351Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4063702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4064058Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4064433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4064810Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4065182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4065556Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4065922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4066293Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4066428Z 
2025-08-26T21:01:29.4066535Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4066890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4067225Z     return mod(**inputs)
2025-08-26T21:01:29.4067568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4067932Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4068293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4068653Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4068995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4069345Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4069700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4070056Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4070413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.4070814Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4070998Z 
2025-08-26T21:01:29.4071116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4071457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4071761Z     return mod(**inputs)
2025-08-26T21:01:29.4072082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4072450Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4072798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4073152Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4073478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4073834Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4074191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4074557Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4074925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4075314Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4075695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4076051Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4076189Z 
2025-08-26T21:01:29.4076288Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4076628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4076932Z     return mod(**inputs)
2025-08-26T21:01:29.4077262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4077616Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4077966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4078316Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4078640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4078991Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4079355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4079724Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4080109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4080497Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4080886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4081246Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4081377Z 
2025-08-26T21:01:29.4081484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4081816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4082124Z     return mod(**inputs)
2025-08-26T21:01:29.4082457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4082804Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4083153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4083499Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4083829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4084202Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4084560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4084918Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4085280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4085688Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4086070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4086421Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4086566Z 
2025-08-26T21:01:29.4086671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4087011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4087320Z     return mod(**inputs)
2025-08-26T21:01:29.4087647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4087998Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4088334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4088680Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4089038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4089382Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4089722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4090080Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4090434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4090787Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4091138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4091481Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4091611Z 
2025-08-26T21:01:29.4091712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4092049Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4092355Z     return mod(**inputs)
2025-08-26T21:01:29.4092754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4093136Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4093521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4093890Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4094237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4094592Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4094965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4095341Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4095714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4096086Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4096452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4096820Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4096959Z 
2025-08-26T21:01:29.4097063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4097440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4097759Z     return mod(**inputs)
2025-08-26T21:01:29.4098107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4098491Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4098850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4099226Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4099555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4099939Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4100306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4100679Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4101038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4101412Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4101786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4102154Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4102288Z 
2025-08-26T21:01:29.4102378Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4102585Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4102821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4103174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4103497Z     return mod(**inputs)
2025-08-26T21:01:29.4103829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4104199Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4104562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4104925Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4105264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4105619Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4105996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4106368Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4106876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4107299Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4107661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4108025Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4108159Z 
2025-08-26T21:01:29.4108264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4108615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4108928Z     return mod(**inputs)
2025-08-26T21:01:29.4109267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4109637Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4109985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4110338Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4110663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4111039Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4111399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4111769Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4112132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4112523Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4112937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4113305Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4113459Z 
2025-08-26T21:01:29.4113568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4113905Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4114222Z     return mod(**inputs)
2025-08-26T21:01:29.4114555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4114912Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4115259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4115603Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4115938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4116287Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4116642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4117009Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4117375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4117774Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4118162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4118519Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4118650Z 
2025-08-26T21:01:29.4118751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4119093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4119403Z     return mod(**inputs)
2025-08-26T21:01:29.4119734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4120091Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4120452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4120807Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4121144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4121491Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4121839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4122206Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4122576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4122969Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4123353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4123705Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4123839Z 
2025-08-26T21:01:29.4123939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4124299Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4124613Z     return mod(**inputs)
2025-08-26T21:01:29.4124944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4125291Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4125639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4126009Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4126338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4126436Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4126658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4126746Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4126967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4127055Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4127273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4127355Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4127360Z 
2025-08-26T21:01:29.4127459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4127646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4127719Z     return mod(**inputs)
2025-08-26T21:01:29.4127945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4128024Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4128246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4128316Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4128530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4128606Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4128831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4128911Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4129126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4129215Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4129450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4129534Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4129539Z 
2025-08-26T21:01:29.4129637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4129828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4129892Z     return mod(**inputs)
2025-08-26T21:01:29.4130111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4130190Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4130409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4130486Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4130695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4130771Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4131011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4131090Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4131315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4131393Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4131608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4131708Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4131711Z 
2025-08-26T21:01:29.4131789Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4131874Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4131988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4132181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4132247Z     return mod(**inputs)
2025-08-26T21:01:29.4132484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4132566Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4132852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4132937Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4133149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4133232Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4133464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4133547Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4133782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4133865Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4134091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4134175Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4134178Z 
2025-08-26T21:01:29.4134292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4134484Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4134551Z     return mod(**inputs)
2025-08-26T21:01:29.4134815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4134891Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4135139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4135221Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4135436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4135522Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4135745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4135822Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4136056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.4136188Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4136191Z 
2025-08-26T21:01:29.4136296Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4136490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4136562Z     return mod(**inputs)
2025-08-26T21:01:29.4136805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4136879Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4137114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4137184Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4137405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4137514Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4137739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4137854Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4138082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4138205Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4138431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4138509Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4138519Z 
2025-08-26T21:01:29.4138622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4138812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4138885Z     return mod(**inputs)
2025-08-26T21:01:29.4139117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4139196Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4139427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4139499Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4139719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4139796Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4140029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4140121Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4140346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4140470Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4140697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4140788Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4140792Z 
2025-08-26T21:01:29.4140922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4141125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4141190Z     return mod(**inputs)
2025-08-26T21:01:29.4141418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4141498Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4141726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4141808Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4142024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4142102Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4142338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4142426Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4142676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4142791Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4143016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4143104Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4143107Z 
2025-08-26T21:01:29.4143225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4143424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4143491Z     return mod(**inputs)
2025-08-26T21:01:29.4143727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4143817Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4144050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4144129Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4144343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4144427Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4144654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4144736Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4144972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4145053Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4145292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4145370Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4145374Z 
2025-08-26T21:01:29.4145478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4145677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4145742Z     return mod(**inputs)
2025-08-26T21:01:29.4145983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4146055Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4146298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4146368Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4146584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4146687Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4146915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4147001Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4147234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4147315Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4147541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4147618Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4147622Z 
2025-08-26T21:01:29.4147731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4147919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4147985Z     return mod(**inputs)
2025-08-26T21:01:29.4148214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4148284Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4148528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4148598Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4148810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4148886Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4149119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4149204Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4149422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4149528Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4149749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4149827Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4149830Z 
2025-08-26T21:01:29.4149916Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4149993Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4150099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4150286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4150352Z     return mod(**inputs)
2025-08-26T21:01:29.4150586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4150655Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4150887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4150958Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4151177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4151254Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4151477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4151564Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4151786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4151874Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4152095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4152171Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4152174Z 
2025-08-26T21:01:29.4152298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4152483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4152557Z     return mod(**inputs)
2025-08-26T21:01:29.4152778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4152849Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4153076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4153146Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4153361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4153437Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4153664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4153755Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4153986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4154106Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4154324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4154413Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4154416Z 
2025-08-26T21:01:29.4154514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4154717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4154790Z     return mod(**inputs)
2025-08-26T21:01:29.4155010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4155118Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4155335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4155407Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4155619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4155696Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4155919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4156005Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4156230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4156341Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4156559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4156643Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4156646Z 
2025-08-26T21:01:29.4156744Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4156936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4157000Z     return mod(**inputs)
2025-08-26T21:01:29.4157218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4157295Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4157514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4157590Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4157793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4157894Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4158123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4158210Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4158437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4158548Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4158770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4158849Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4158853Z 
2025-08-26T21:01:29.4158951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4159143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4159208Z     return mod(**inputs)
2025-08-26T21:01:29.4159438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4159530Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4159756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4159831Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4160041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4160124Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4160362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4160447Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4160663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4160760Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4160995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4161070Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4161073Z 
2025-08-26T21:01:29.4161177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4161359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4161421Z     return mod(**inputs)
2025-08-26T21:01:29.4161653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4161725Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4161954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4162024Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4162232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4162315Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4162534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4162618Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4162838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4162921Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4163140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4163214Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4163217Z 
2025-08-26T21:01:29.4163321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4163525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4163597Z     return mod(**inputs)
2025-08-26T21:01:29.4163821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4163890Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4164118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4164185Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4164404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4164481Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4164699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4164785Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4165006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4165095Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4165327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4165413Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4165417Z 
2025-08-26T21:01:29.4165496Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4165574Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4165679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4165880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4165950Z     return mod(**inputs)
2025-08-26T21:01:29.4166172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4166262Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4166492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4166564Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4166780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4166857Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4167075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4167162Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4167381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4167467Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4167686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4167769Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4167772Z 
2025-08-26T21:01:29.4167871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4168054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4168127Z     return mod(**inputs)
2025-08-26T21:01:29.4168345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4168423Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4168640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4168712Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4168926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4169004Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4169250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4169330Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4169549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4169635Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4169853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4169933Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4169937Z 
2025-08-26T21:01:29.4170034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4170223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4170289Z     return mod(**inputs)
2025-08-26T21:01:29.4170510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4170588Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4170823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4170901Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4171109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4171184Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4171408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4171502Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4171730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4171824Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4172039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4172123Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4172127Z 
2025-08-26T21:01:29.4172204Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4172287Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4172389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4172584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4172793Z     return mod(**inputs)
2025-08-26T21:01:29.4173030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4173113Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4173341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4173423Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4173636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4173717Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4173956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4174033Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4174260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4174340Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4174557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4174640Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4174645Z 
2025-08-26T21:01:29.4174743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4174956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4175023Z     return mod(**inputs)
2025-08-26T21:01:29.4175253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4175322Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4175544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4175621Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4175832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4175913Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4176135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4176218Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4176446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4176544Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4176768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4176844Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4176847Z 
2025-08-26T21:01:29.4176945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4177134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4177215Z     return mod(**inputs)
2025-08-26T21:01:29.4177446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4177533Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4177759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4177830Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4178034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4178117Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4178337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4178421Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4178638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4178715Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4178939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4179016Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4179019Z 
2025-08-26T21:01:29.4179123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4179311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4179375Z     return mod(**inputs)
2025-08-26T21:01:29.4179603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4179674Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4179902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4179972Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4180188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4180266Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4180509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4180597Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4180817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.4180953Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4180956Z 
2025-08-26T21:01:29.4181055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4181238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4181310Z     return mod(**inputs)
2025-08-26T21:01:29.4181532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4181610Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4181835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4181910Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4182136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4182214Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4182436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4182523Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4182745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4182877Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4183096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4183199Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4183203Z 
2025-08-26T21:01:29.4183307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4183500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4183564Z     return mod(**inputs)
2025-08-26T21:01:29.4183783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4183860Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4184080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4184159Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4184368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4184451Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4184676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4184765Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4184992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4185104Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4185330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4185409Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4185413Z 
2025-08-26T21:01:29.4185512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4185707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4185771Z     return mod(**inputs)
2025-08-26T21:01:29.4185998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-26T21:01:29.4186088Z     encoder_outputs = self.encoder(
2025-08-26T21:01:29.4186309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4186387Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4186594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4186679Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4186897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4186991Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4187209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4187319Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4187550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4187628Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4187631Z 
2025-08-26T21:01:29.4187750Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4187938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4188001Z     return mod(**inputs)
2025-08-26T21:01:29.4188230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4188339Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4188564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4188633Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4188845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4188937Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4189155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4189238Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4189453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4189543Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4189757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4189832Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4189835Z 
2025-08-26T21:01:29.4189938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4190126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4190197Z     return mod(**inputs)
2025-08-26T21:01:29.4190415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4190487Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4190712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4190781Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4190991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4191066Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4191290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4191366Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4191581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4191685Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4191906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4191989Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4191992Z 
2025-08-26T21:01:29.4192071Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4192149Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4192255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4192439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4192513Z     return mod(**inputs)
2025-08-26T21:01:29.4192737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4192807Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4193040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4193109Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4193339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4193417Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4193645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4193723Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4193941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4194044Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4194261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4194360Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4194363Z 
2025-08-26T21:01:29.4194463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4194648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4194721Z     return mod(**inputs)
2025-08-26T21:01:29.4194940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4195020Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4195239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4195309Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4195525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4195599Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4195824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4195910Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4196134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4196242Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4196456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4196541Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4196544Z 
2025-08-26T21:01:29.4196643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4196832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4196895Z     return mod(**inputs)
2025-08-26T21:01:29.4197114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4197207Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4197427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4197500Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4197706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4197782Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4198004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4198091Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4198315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4198423Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4198648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4198726Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4198729Z 
2025-08-26T21:01:29.4198842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4199034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4199098Z     return mod(**inputs)
2025-08-26T21:01:29.4199327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4199414Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4199633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4199710Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4199916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4200025Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4200244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4200339Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4200556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4200664Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4200888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4200967Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4200970Z 
2025-08-26T21:01:29.4201074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4201256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4201322Z     return mod(**inputs)
2025-08-26T21:01:29.4201549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4201622Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4201846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4201915Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4202120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4202205Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4202421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4202504Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4202738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4202827Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4203043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4203118Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4203122Z 
2025-08-26T21:01:29.4203226Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4203411Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4203480Z     return mod(**inputs)
2025-08-26T21:01:29.4203702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4203771Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4203998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4204068Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4204282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4204371Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4204591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4204675Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4204891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4204977Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4205209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4205288Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4205311Z 
2025-08-26T21:01:29.4205410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4205596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4205667Z     return mod(**inputs)
2025-08-26T21:01:29.4205889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4205966Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4206185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4206254Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4206466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4206667Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4206906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4206988Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4207209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4207302Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4207523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4207608Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4207611Z 
2025-08-26T21:01:29.4207692Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4207779Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4207879Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4208066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4208141Z     return mod(**inputs)
2025-08-26T21:01:29.4208367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4208488Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4208713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4208784Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4209000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4209076Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4209301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4209380Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4209597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4209685Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4209906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4209985Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4209988Z 
2025-08-26T21:01:29.4210107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4210305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4210369Z     return mod(**inputs)
2025-08-26T21:01:29.4210592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4210674Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4210916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4210993Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4211199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4211298Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4211521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4211602Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4211828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4211910Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4212126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4212209Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4212212Z 
2025-08-26T21:01:29.4212310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4212499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4212564Z     return mod(**inputs)
2025-08-26T21:01:29.4212854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4212933Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4213163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4213241Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4213456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4213540Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4213766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4213847Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4214077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4214182Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4214424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4214506Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4214510Z 
2025-08-26T21:01:29.4214635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4214821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4214889Z     return mod(**inputs)
2025-08-26T21:01:29.4215118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4215194Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4215426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4215499Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4215744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4215832Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4216071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4216160Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4216385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4216466Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4216715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4216794Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4216797Z 
2025-08-26T21:01:29.4216882Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4216976Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4217079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4217277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4217346Z     return mod(**inputs)
2025-08-26T21:01:29.4217584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4217656Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4217891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4217964Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4218176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4218260Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4218484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4218574Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4218800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4218881Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4219115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4219192Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4219195Z 
2025-08-26T21:01:29.4219305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4219499Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4219569Z     return mod(**inputs)
2025-08-26T21:01:29.4219805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4219879Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4220166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4220243Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4220465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4220543Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4220768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4220865Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4221092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4221213Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4221445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4221525Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4221528Z 
2025-08-26T21:01:29.4221651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4221845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4221918Z     return mod(**inputs)
2025-08-26T21:01:29.4222147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4222232Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4222513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4222584Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4222800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4222893Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4223129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4223221Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4223450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4223572Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4223798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4223885Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4223889Z 
2025-08-26T21:01:29.4223988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4224177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4224253Z     return mod(**inputs)
2025-08-26T21:01:29.4224489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4224568Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4224798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4224876Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4225094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4225172Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4225408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4225497Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4225737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4225880Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4226110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4226197Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4226200Z 
2025-08-26T21:01:29.4226300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4226497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4226561Z     return mod(**inputs)
2025-08-26T21:01:29.4226791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4226873Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4227098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4227179Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4227392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4227477Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4227716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4227798Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4228027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4228107Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4228359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4228435Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4228439Z 
2025-08-26T21:01:29.4228538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4228787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4228862Z     return mod(**inputs)
2025-08-26T21:01:29.4229090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4229161Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4229391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4229459Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4229665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4229749Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4229966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4230051Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4230270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4230350Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4230576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4230647Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4230651Z 
2025-08-26T21:01:29.4230756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4230939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4231003Z     return mod(**inputs)
2025-08-26T21:01:29.4231229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4231300Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4231544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4231614Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4231827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4231903Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4232121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4232207Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4232426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4232808Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4233028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4233107Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4233110Z 
2025-08-26T21:01:29.4233198Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4233277Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4233402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4233591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4233655Z     return mod(**inputs)
2025-08-26T21:01:29.4233888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4233961Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4234197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4234286Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4234512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4234606Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4234840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4234935Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4235156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4235242Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4235460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4235535Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4235540Z 
2025-08-26T21:01:29.4235646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4235830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4235904Z     return mod(**inputs)
2025-08-26T21:01:29.4236124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4236193Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4236421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4236490Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4236701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4236776Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4237001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4237077Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4237293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.4237448Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4237451Z 
2025-08-26T21:01:29.4237551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4237740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4237803Z     return mod(**inputs)
2025-08-26T21:01:29.4238033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4238112Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4238336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4238413Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4238621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4238707Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4238929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4239009Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4239257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4239341Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4239571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4239646Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4239650Z 
2025-08-26T21:01:29.4239765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4239956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4240019Z     return mod(**inputs)
2025-08-26T21:01:29.4240268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4240340Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4240561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4240636Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4240843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4240924Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4241144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4241231Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4241448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4241527Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4241757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4241831Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4241834Z 
2025-08-26T21:01:29.4241941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4242125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4242187Z     return mod(**inputs)
2025-08-26T21:01:29.4242414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4242484Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4242711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4242780Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4242984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4243094Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4243316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4243402Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4243619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4243707Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4243926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4244004Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4244007Z 
2025-08-26T21:01:29.4244090Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4244166Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4244275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4244467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4244532Z     return mod(**inputs)
2025-08-26T21:01:29.4244792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4244866Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4245098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4245167Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4245377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4245478Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4245700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4245812Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4246037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4246121Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4246350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4246428Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4246433Z 
2025-08-26T21:01:29.4246540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4246728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4246805Z     return mod(**inputs)
2025-08-26T21:01:29.4247034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4247107Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4247343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4247414Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4247633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4247710Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4247932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4248031Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4248252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4248375Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4248596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4248685Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4248705Z 
2025-08-26T21:01:29.4248808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4248999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4249076Z     return mod(**inputs)
2025-08-26T21:01:29.4249301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4249380Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4249604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4249677Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4249898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4249974Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4250208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4250298Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4250536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4250660Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4250885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4250970Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4250973Z 
2025-08-26T21:01:29.4251090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4251287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4251354Z     return mod(**inputs)
2025-08-26T21:01:29.4251598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4251680Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4251911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4251989Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4252202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4252279Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4252524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4252693Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4252951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4253075Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4253321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4253407Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4253412Z 
2025-08-26T21:01:29.4253527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4253733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4253801Z     return mod(**inputs)
2025-08-26T21:01:29.4254045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4254122Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4254368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4254449Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4254663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4254771Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4255001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4255082Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4255317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4255397Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4255629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4255709Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4255712Z 
2025-08-26T21:01:29.4255821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4256012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4256079Z     return mod(**inputs)
2025-08-26T21:01:29.4256317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4256409Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4256642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4256713Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4256923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4257006Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4257249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4257334Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4257561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4257659Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4257892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4257968Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4257971Z 
2025-08-26T21:01:29.4258077Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4258268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4258343Z     return mod(**inputs)
2025-08-26T21:01:29.4258570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4258644Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4258881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4258954Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4259178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4259259Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4259485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4259572Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4259797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4259885Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4260113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4260191Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4260201Z 
2025-08-26T21:01:29.4260283Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4260364Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4260490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4260682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4260754Z     return mod(**inputs)
2025-08-26T21:01:29.4260982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4261055Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4261289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4261361Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4261580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4261660Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4261884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4261970Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4262211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4262298Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4262526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4262601Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4262613Z 
2025-08-26T21:01:29.4262714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4262919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4262990Z     return mod(**inputs)
2025-08-26T21:01:29.4263219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4263315Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4263543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4263615Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4263838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4263915Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4264149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4264231Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4264455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4264545Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4264773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4264855Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4264859Z 
2025-08-26T21:01:29.4264962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4265151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4265224Z     return mod(**inputs)
2025-08-26T21:01:29.4265449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4265532Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4265760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4265838Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4266050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4266155Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4266388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4266468Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4266699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4266784Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4267006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4267092Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4267095Z 
2025-08-26T21:01:29.4267196Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4267389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4267456Z     return mod(**inputs)
2025-08-26T21:01:29.4267690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4267769Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4268011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4268093Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4268303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4268385Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4268625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4268703Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4268933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4269031Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4269258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4269336Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4269340Z 
2025-08-26T21:01:29.4269419Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4269514Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4269612Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4269805Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4269870Z     return mod(**inputs)
2025-08-26T21:01:29.4270091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4270170Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4270390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4270469Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4270677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4270759Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4270980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4271056Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4271281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4271362Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4271587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4271664Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4271667Z 
2025-08-26T21:01:29.4271781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4271977Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4272043Z     return mod(**inputs)
2025-08-26T21:01:29.4272269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4272342Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4272563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4272638Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4272846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4272929Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4273147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4273235Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4273468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:01:29.4273596Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4273599Z 
2025-08-26T21:01:29.4273706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4273891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4273965Z     return mod(**inputs)
2025-08-26T21:01:29.4274207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4274278Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4274504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4274591Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4274802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4274877Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4275093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4275187Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4275405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4275525Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4275747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4275832Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4275837Z 
2025-08-26T21:01:29.4275933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4276120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4276192Z     return mod(**inputs)
2025-08-26T21:01:29.4276413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4276491Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4276710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4276780Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4276993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4277069Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4277294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4277400Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4277628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4277740Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4277958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4278043Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4278046Z 
2025-08-26T21:01:29.4278144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4278338Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4278402Z     return mod(**inputs)
2025-08-26T21:01:29.4278624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4278704Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4278925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4279000Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4279241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4279318Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4279544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4279630Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4279880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4279990Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4280215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4280310Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4280313Z 
2025-08-26T21:01:29.4280410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4280603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4280666Z     return mod(**inputs)
2025-08-26T21:01:29.4280893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4280965Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4281185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4281264Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4281467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4281552Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4281770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4281849Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4282072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4282151Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4282376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4282451Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4282455Z 
2025-08-26T21:01:29.4282558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4282740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4282802Z     return mod(**inputs)
2025-08-26T21:01:29.4283043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4283116Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4283345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4283413Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4283618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4283703Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4283921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4284007Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4284223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4284311Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4284530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4284616Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4284620Z 
2025-08-26T21:01:29.4284728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4284911Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4284983Z     return mod(**inputs)
2025-08-26T21:01:29.4285203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4285292Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4285519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4285587Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4285827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4285905Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4286130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4286217Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4286437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4286525Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4286747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4286836Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4286839Z 
2025-08-26T21:01:29.4286919Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4287002Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4287114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4287302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4287377Z     return mod(**inputs)
2025-08-26T21:01:29.4287604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4287677Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4287911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4287983Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4288204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4288282Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4288504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4288594Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4288835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4288922Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4289141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4289214Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4289224Z 
2025-08-26T21:01:29.4289320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4289504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4289575Z     return mod(**inputs)
2025-08-26T21:01:29.4289793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4289871Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4290091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4290160Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4290388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4290465Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4290691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4290769Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4290988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4291091Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4291313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4291412Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4291416Z 
2025-08-26T21:01:29.4291513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4291707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4291771Z     return mod(**inputs)
2025-08-26T21:01:29.4291994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4292071Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4292289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4292365Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4292573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4292709Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4292949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4293027Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4293254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4293335Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4293573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4293660Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4293664Z 
2025-08-26T21:01:29.4293774Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4293984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4294053Z     return mod(**inputs)
2025-08-26T21:01:29.4294311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4294409Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4294657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4294742Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4294974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4295060Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4295290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4295383Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4295613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4295696Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4295926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4296009Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4296013Z 
2025-08-26T21:01:29.4296111Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4296201Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4296305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4296506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4296572Z     return mod(**inputs)
2025-08-26T21:01:29.4296806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4296910Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4297138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4297235Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4297454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4297540Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4297769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4297850Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4298089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4298173Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4298410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4298488Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4298491Z 
2025-08-26T21:01:29.4298594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4298795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4298863Z     return mod(**inputs)
2025-08-26T21:01:29.4299101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4299176Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4299411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4299484Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4299700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4299789Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4300017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4300118Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4300365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4300487Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4300726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4300806Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4300811Z 
2025-08-26T21:01:29.4300921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4301117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4301185Z     return mod(**inputs)
2025-08-26T21:01:29.4301427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4301502Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4301745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4301818Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4302058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4302138Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4302368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4302466Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4302695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4302836Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4303069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4303168Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4303173Z 
2025-08-26T21:01:29.4303284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4303479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4303552Z     return mod(**inputs)
2025-08-26T21:01:29.4303785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4303857Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4304092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4304169Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4304396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4304474Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4304714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4304803Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4305032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4305155Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4305383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4305473Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4305479Z 
2025-08-26T21:01:29.4305584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4305777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4305851Z     return mod(**inputs)
2025-08-26T21:01:29.4306102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4306185Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4306417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4306637Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4306867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4306948Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4307192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4307287Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4307526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-26T21:01:29.4307661Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-26T21:01:29.4307666Z 
2025-08-26T21:01:29.4307773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4308028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4308098Z     return mod(**inputs)
2025-08-26T21:01:29.4308336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4308410Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4308641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4308755Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4308982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4309065Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4309308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4309396Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4309615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4309697Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4309924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4309998Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4310001Z 
2025-08-26T21:01:29.4310108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4310294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4310358Z     return mod(**inputs)
2025-08-26T21:01:29.4310586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4310658Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4310885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4310954Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4311159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4311241Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4311461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4311546Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4311763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4311849Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4312089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4312165Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4312168Z 
2025-08-26T21:01:29.4312275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4312458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4312528Z     return mod(**inputs)
2025-08-26T21:01:29.4312745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4312815Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4313041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4313110Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4313320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4313397Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4313620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4313711Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4313933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4314020Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4314238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4314344Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4314348Z 
2025-08-26T21:01:29.4314427Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4314505Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4314609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4314812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4314884Z     return mod(**inputs)
2025-08-26T21:01:29.4315104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4315176Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4315403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4315470Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4315680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4315758Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4315974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4316061Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4316280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4316365Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4316583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4316663Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4316666Z 
2025-08-26T21:01:29.4316764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4316945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4317021Z     return mod(**inputs)
2025-08-26T21:01:29.4317243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4317321Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4317540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4317627Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4317846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4317924Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4318152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4318231Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4318452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4318540Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4318759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4318840Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4318845Z 
2025-08-26T21:01:29.4318945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4319137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4319217Z     return mod(**inputs)
2025-08-26T21:01:29.4319440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4319519Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4319738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4319815Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4320037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4320111Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4320334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4320427Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4320653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4320732Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4320950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4321031Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4321034Z 
2025-08-26T21:01:29.4321130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4321324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4321387Z     return mod(**inputs)
2025-08-26T21:01:29.4321612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4321684Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4321901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4321977Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4322182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4322261Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4322477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4322554Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4322778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4322858Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4323084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4323174Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4323178Z 
2025-08-26T21:01:29.4323264Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4323343Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4323440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4323628Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4323691Z     return mod(**inputs)
2025-08-26T21:01:29.4323917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4323989Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4324210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4324286Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4324495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4324578Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4324816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4324895Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4325120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4325199Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4325426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4325518Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4325521Z 
2025-08-26T21:01:29.4325626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4325810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4325891Z     return mod(**inputs)
2025-08-26T21:01:29.4326119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4326191Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4326420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4326492Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4326698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4326782Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4327003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4327099Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4327321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4327433Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4327662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4327739Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4327743Z 
2025-08-26T21:01:29.4327845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4328028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4328098Z     return mod(**inputs)
2025-08-26T21:01:29.4328319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4328389Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4328617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4328703Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4328919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4329000Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4329219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4329314Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4329534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4329651Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4329871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4329948Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4329960Z 
2025-08-26T21:01:29.4330059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4330243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4330338Z     return mod(**inputs)
2025-08-26T21:01:29.4330559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4330635Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4330853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4330921Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4331151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4331224Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4331450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4331560Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4331777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4331894Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4332112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4332196Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4332199Z 
2025-08-26T21:01:29.4332297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4332508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4332575Z     return mod(**inputs)
2025-08-26T21:01:29.4332879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4332972Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4333218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4333302Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4333537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4333617Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4333859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4333942Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4334188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4334274Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4334515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4334630Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4334634Z 
2025-08-26T21:01:29.4334741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4334953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4335022Z     return mod(**inputs)
2025-08-26T21:01:29.4335269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4335344Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4335583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4335664Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4335885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4335974Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4336210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4336294Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4336552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4336639Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4336882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4336959Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4336980Z 
2025-08-26T21:01:29.4337086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4337291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4337358Z     return mod(**inputs)
2025-08-26T21:01:29.4337652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4337727Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4337972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4338046Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4338268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4338353Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4338589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4338679Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4338917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4339003Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4339248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4339330Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4339334Z 
2025-08-26T21:01:29.4339425Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4339508Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4339614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4339821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4339888Z     return mod(**inputs)
2025-08-26T21:01:29.4340137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4340212Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4340450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4340535Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4340779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4340873Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4341110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4341201Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4341437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4341524Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4341766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4341844Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4341850Z 
2025-08-26T21:01:29.4341962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4342166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4342234Z     return mod(**inputs)
2025-08-26T21:01:29.4342497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4342575Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4342818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4342891Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4343119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4343218Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4343457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4343562Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4343805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.4343942Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4343946Z 
2025-08-26T21:01:29.4344044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4344231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4344302Z     return mod(**inputs)
2025-08-26T21:01:29.4344535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4344614Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4344832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4344901Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4345117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4345192Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4345421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4345500Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4345726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4345809Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4346027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4346110Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4346114Z 
2025-08-26T21:01:29.4346213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4346432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4346499Z     return mod(**inputs)
2025-08-26T21:01:29.4346735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4346813Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4347031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4347106Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4347311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4347387Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4347616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4347696Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4347920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4347999Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4348235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4348309Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4348313Z 
2025-08-26T21:01:29.4348411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4348603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4348684Z     return mod(**inputs)
2025-08-26T21:01:29.4348915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4348985Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4349221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4349299Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4349508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4349589Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4349807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4349883Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4350109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4350191Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4350414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4350489Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4350492Z 
2025-08-26T21:01:29.4350576Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4350651Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4350748Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4350942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4351006Z     return mod(**inputs)
2025-08-26T21:01:29.4351237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4351305Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4351527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4351604Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4351810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4351896Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4352139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4352220Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4352447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4352527Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4352752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4352827Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4352832Z 
2025-08-26T21:01:29.4352937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4353122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4353188Z     return mod(**inputs)
2025-08-26T21:01:29.4353416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4353486Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4353727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4353798Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4354003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4354087Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4354304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4354418Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4354634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4354761Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4354988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4355067Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4355071Z 
2025-08-26T21:01:29.4355175Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4355358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4355429Z     return mod(**inputs)
2025-08-26T21:01:29.4355648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4355719Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4355946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4356015Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4356230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4356306Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4356525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4356620Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4356835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4356952Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4357171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4357255Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4357258Z 
2025-08-26T21:01:29.4357355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4357559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4357631Z     return mod(**inputs)
2025-08-26T21:01:29.4357855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4357931Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4358150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4358219Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4358432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4358508Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4358732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4358819Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4359038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4359156Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4359392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4359481Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4359484Z 
2025-08-26T21:01:29.4359582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4359774Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4359854Z     return mod(**inputs)
2025-08-26T21:01:29.4360073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4360150Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4360384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4360460Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4360669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4360744Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4360973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4361050Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4361274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4361354Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4361575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4361656Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4361659Z 
2025-08-26T21:01:29.4361758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4361948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4362011Z     return mod(**inputs)
2025-08-26T21:01:29.4362241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4362310Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4362532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4362608Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4362816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4362898Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4363119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4363209Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4363436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4363516Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4363737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4363811Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4363814Z 
2025-08-26T21:01:29.4363917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4364100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4364162Z     return mod(**inputs)
2025-08-26T21:01:29.4364389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4364459Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4364687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4364770Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4364974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4365060Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4365278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4365362Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4365594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4365672Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4365911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4365988Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4365992Z 
2025-08-26T21:01:29.4366079Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4366159Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4366257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4366447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4366510Z     return mod(**inputs)
2025-08-26T21:01:29.4366739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4366811Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4367040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4367109Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4367317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4367405Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4367628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4367714Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4367938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4368020Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4368252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4368328Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4368331Z 
2025-08-26T21:01:29.4368462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4368653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4368754Z     return mod(**inputs)
2025-08-26T21:01:29.4369029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4369103Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4369335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4369406Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4369625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4369705Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4369927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4370014Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4370241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4370331Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4370569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4370647Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4370650Z 
2025-08-26T21:01:29.4370758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4370947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4371019Z     return mod(**inputs)
2025-08-26T21:01:29.4371265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4371337Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4371570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4371667Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4371891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4371970Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4372207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4372285Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4372512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4372672Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4372909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4372994Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4373000Z 
2025-08-26T21:01:29.4373101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4373327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4373409Z     return mod(**inputs)
2025-08-26T21:01:29.4373672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4373769Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4374010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4374091Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4374319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4374400Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4374649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4374761Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4375016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4375098Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4375325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4375410Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4375413Z 
2025-08-26T21:01:29.4375495Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4375580Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4375682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4375873Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4375945Z     return mod(**inputs)
2025-08-26T21:01:29.4376177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4376255Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4376498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4376573Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4376793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4376869Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4377099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4377197Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4377427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4377525Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4377755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4377838Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4377841Z 
2025-08-26T21:01:29.4377944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4378141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4378206Z     return mod(**inputs)
2025-08-26T21:01:29.4378435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4378517Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4378742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4378819Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4379030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4379108Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4379342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4379423Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4379652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:01:29.4379783Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4379786Z 
2025-08-26T21:01:29.4379894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4380084Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4380149Z     return mod(**inputs)
2025-08-26T21:01:29.4380393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4380485Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4380722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4380795Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4381005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4381091Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4381316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4381415Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4381640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4381762Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4381987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4382066Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4382070Z 
2025-08-26T21:01:29.4382194Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4382383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4382456Z     return mod(**inputs)
2025-08-26T21:01:29.4382686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4382757Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4383015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4383087Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4383303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4383396Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4383618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4383716Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4383944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4384066Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4384303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4384392Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4384395Z 
2025-08-26T21:01:29.4384497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4384697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4384772Z     return mod(**inputs)
2025-08-26T21:01:29.4385013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4385097Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4385344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4385419Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4385651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4385733Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4385976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4386068Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4386361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4386500Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4386734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4386823Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4386826Z 
2025-08-26T21:01:29.4386928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4387131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4387198Z     return mod(**inputs)
2025-08-26T21:01:29.4387432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4387514Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4387745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4387827Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4388045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4388140Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4388379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4388460Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4388697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4388781Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4389032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4389114Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4389117Z 
2025-08-26T21:01:29.4389239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4389442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4389509Z     return mod(**inputs)
2025-08-26T21:01:29.4389747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4389820Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4390051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4390127Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4390341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4390426Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4390654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4390737Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4390971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4391056Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4391288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4391366Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4391370Z 
2025-08-26T21:01:29.4391479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4391672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4391739Z     return mod(**inputs)
2025-08-26T21:01:29.4391979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4392052Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4392307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4392381Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4392598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4392685Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4392914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4393003Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4393231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4393315Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4393547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4393628Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4393631Z 
2025-08-26T21:01:29.4393722Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4393803Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4393929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4394126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4394193Z     return mod(**inputs)
2025-08-26T21:01:29.4394435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4394508Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4394774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4394847Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4395063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4395169Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4395397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4395484Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4395701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4395780Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4396004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4396079Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4396081Z 
2025-08-26T21:01:29.4396187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4396371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4396444Z     return mod(**inputs)
2025-08-26T21:01:29.4396665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4396734Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4396958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4397026Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4397237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4397313Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4397530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4397616Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4397831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4397936Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4398156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4398233Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4398244Z 
2025-08-26T21:01:29.4398341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4398526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4398597Z     return mod(**inputs)
2025-08-26T21:01:29.4398820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4398899Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4399123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4399192Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4399408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4399483Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4399722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4399801Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4400016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4400105Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4400338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4400418Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4400421Z 
2025-08-26T21:01:29.4400518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4400725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4400790Z     return mod(**inputs)
2025-08-26T21:01:29.4401009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4401086Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4401305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4401380Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4401587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4401663Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4401884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4401959Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4402183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4402263Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4402479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4402565Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4402568Z 
2025-08-26T21:01:29.4402646Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4402729Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4402826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4403009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4403078Z     return mod(**inputs)
2025-08-26T21:01:29.4403297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4403376Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4403610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4403687Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4403894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4403970Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4404192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4404270Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4404494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4404574Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4404790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4404875Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4404878Z 
2025-08-26T21:01:29.4404976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4405185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4405250Z     return mod(**inputs)
2025-08-26T21:01:29.4405470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4405548Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4405764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4405860Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4406069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4406164Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4406384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4406471Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4406861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4406982Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4407211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4407291Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4407298Z 
2025-08-26T21:01:29.4407398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4407592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4407660Z     return mod(**inputs)
2025-08-26T21:01:29.4407891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4407962Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4408182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4408262Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4408466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4408553Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4408771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4408868Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4409086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4409199Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4409461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4409541Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4409545Z 
2025-08-26T21:01:29.4409652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4409837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4409901Z     return mod(**inputs)
2025-08-26T21:01:29.4410131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4410203Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4410429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4410500Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4410716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4410791Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4411028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4411126Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4411347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4411465Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4411707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4411784Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4411788Z 
2025-08-26T21:01:29.4411892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4412101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4412171Z     return mod(**inputs)
2025-08-26T21:01:29.4412398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4412469Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4412755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4412837Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4413069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4413152Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4413396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4413492Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4413729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-26T21:01:29.4413872Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-26T21:01:29.4413876Z 
2025-08-26T21:01:29.4413984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4414198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4414263Z     return mod(**inputs)
2025-08-26T21:01:29.4414491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4414572Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4414805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4414886Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4415134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4415225Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4415461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4415545Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4415788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4415874Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4416115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4416197Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4416201Z 
2025-08-26T21:01:29.4416308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4416516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4416585Z     return mod(**inputs)
2025-08-26T21:01:29.4416853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4416929Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4417169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4417249Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4417471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4417577Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4417811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4417903Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4418155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4418241Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4418483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4418561Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4418565Z 
2025-08-26T21:01:29.4418676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4418872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4418941Z     return mod(**inputs)
2025-08-26T21:01:29.4419187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4419264Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4419509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4419587Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4419810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4419900Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4420134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4420224Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4420458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4420553Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4420787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4420869Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4420874Z 
2025-08-26T21:01:29.4420965Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4421063Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4421181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4421384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4421453Z     return mod(**inputs)
2025-08-26T21:01:29.4421703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4421778Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4422025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4422103Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4422328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4422417Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4422658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4422750Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4423002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4423087Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4423327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4423403Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4423406Z 
2025-08-26T21:01:29.4423530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4423720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4423793Z     return mod(**inputs)
2025-08-26T21:01:29.4424026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4424122Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4424363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4424435Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4424660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4424738Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4424965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4425056Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4425284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4425377Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4425614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4425703Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4425711Z 
2025-08-26T21:01:29.4425816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4426011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4426086Z     return mod(**inputs)
2025-08-26T21:01:29.4426319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4426397Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4426629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4426702Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4426931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4427033Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4427268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4427347Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4427568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4427659Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4427880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4427964Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4427968Z 
2025-08-26T21:01:29.4428067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4428263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4428329Z     return mod(**inputs)
2025-08-26T21:01:29.4428557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4428652Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4428880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4428959Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4429171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4429246Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4429495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4429573Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4429803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4429899Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4430126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4430212Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4430215Z 
2025-08-26T21:01:29.4430293Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4430379Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4430479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4430675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4430742Z     return mod(**inputs)
2025-08-26T21:01:29.4430972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4431050Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4431279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4431355Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4431567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4431643Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4431874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4431952Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4432181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4432264Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4432485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4432570Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4432574Z 
2025-08-26T21:01:29.4432687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4432885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4432951Z     return mod(**inputs)
2025-08-26T21:01:29.4433188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4433259Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4433485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4433566Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4433780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4433863Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4434091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4434181Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4434431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4434549Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4434782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4434862Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4434865Z 
2025-08-26T21:01:29.4434965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4435179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4435246Z     return mod(**inputs)
2025-08-26T21:01:29.4435483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4435577Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4435810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4435883Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4436095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4436179Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4436405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4436503Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4436729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4436844Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4437082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4437162Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4437165Z 
2025-08-26T21:01:29.4437281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4437472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4437544Z     return mod(**inputs)
2025-08-26T21:01:29.4437772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4437843Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4438078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4438148Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4438378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4438486Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4438726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4438828Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4439065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4439194Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4439431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4439518Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4439530Z 
2025-08-26T21:01:29.4439640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4439862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4439945Z     return mod(**inputs)
2025-08-26T21:01:29.4440210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4440310Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4440550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4440625Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4440854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4440934Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4441196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4441280Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4441513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4441635Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4441867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4441953Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4441957Z 
2025-08-26T21:01:29.4442059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4442257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4442331Z     return mod(**inputs)
2025-08-26T21:01:29.4442565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4442648Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4442883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4442966Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4443191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4443274Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4443516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4443601Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4443843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4443929Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4444174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4444257Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4444261Z 
2025-08-26T21:01:29.4444365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4444591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4444658Z     return mod(**inputs)
2025-08-26T21:01:29.4444899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4444980Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4445205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4445282Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4445501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4445586Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4445804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4445886Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4446110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4446205Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4446433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4446516Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4446519Z 
2025-08-26T21:01:29.4446601Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4446692Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4446797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4447019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4447088Z     return mod(**inputs)
2025-08-26T21:01:29.4447327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4447432Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4447669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4447753Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4447978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4448067Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4448301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4448386Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4448626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4448710Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4448954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4449033Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4449037Z 
2025-08-26T21:01:29.4449144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4449351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4449421Z     return mod(**inputs)
2025-08-26T21:01:29.4449668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4449743Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4449981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4450064Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4450300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4450396Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4450666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4450763Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4451011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-26T21:01:29.4451154Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4451158Z 
2025-08-26T21:01:29.4451277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4451487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4451567Z     return mod(**inputs)
2025-08-26T21:01:29.4451822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4451903Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4452162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4452240Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4452504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4452657Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4452931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4453035Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4453314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4453420Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4453675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4453791Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4453795Z 
2025-08-26T21:01:29.4453922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4454121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4454198Z     return mod(**inputs)
2025-08-26T21:01:29.4454436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4454518Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4454756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4454830Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4455058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4455139Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4455383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4455469Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4455713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4455801Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4456036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4456123Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4456128Z 
2025-08-26T21:01:29.4456233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4456438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4456506Z     return mod(**inputs)
2025-08-26T21:01:29.4456769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4456856Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4457095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4457186Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4457403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4457480Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4457716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4457799Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4458033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4458119Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4458355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4458436Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4458456Z 
2025-08-26T21:01:29.4458541Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4458630Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4458735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4458938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4459006Z     return mod(**inputs)
2025-08-26T21:01:29.4459245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4459343Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4459579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4459707Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4459933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4460016Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4460270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4460352Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4460589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4460674Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4460905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4460988Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4460991Z 
2025-08-26T21:01:29.4461095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4461297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4461364Z     return mod(**inputs)
2025-08-26T21:01:29.4461607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4461682Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4461916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4461998Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4462218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4462304Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4462537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4462631Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4462888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4463009Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4463247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4463330Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4463333Z 
2025-08-26T21:01:29.4463444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4463637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4463708Z     return mod(**inputs)
2025-08-26T21:01:29.4463952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4464028Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4464268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4464340Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4464572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4464662Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4464890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4464986Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4465230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4465346Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4465587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4466566Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4466570Z 
2025-08-26T21:01:29.4466686Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4466882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4466955Z     return mod(**inputs)
2025-08-26T21:01:29.4467188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4467262Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4467500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4467577Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4467800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4467881Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4468112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4468213Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4468442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4468566Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4468792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4468873Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4468885Z 
2025-08-26T21:01:29.4468988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4469181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4469257Z     return mod(**inputs)
2025-08-26T21:01:29.4469513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4469596Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4469827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4469900Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4470124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4470203Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4470437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4470521Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4470751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4470841Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4471059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4471143Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4471161Z 
2025-08-26T21:01:29.4471260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4471451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4471515Z     return mod(**inputs)
2025-08-26T21:01:29.4471734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4471827Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4472045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4472121Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4472343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4472418Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4472643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4472721Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4472943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4473022Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4473238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4473319Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4473322Z 
2025-08-26T21:01:29.4473418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4473607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4473673Z     return mod(**inputs)
2025-08-26T21:01:29.4473898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4473968Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4474185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4474261Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4474465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4474550Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4474764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4474840Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4475078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4475157Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4475383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4475459Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4475462Z 
2025-08-26T21:01:29.4475541Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4475625Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4475724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4475919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4475985Z     return mod(**inputs)
2025-08-26T21:01:29.4476220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4476293Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4476530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4476605Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4476838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4476923Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4477140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-26T21:01:29.4477217Z     self_attention_outputs = self.layer[0](
2025-08-26T21:01:29.4477442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-26T21:01:29.4477536Z     attention_output = self.SelfAttention(
2025-08-26T21:01:29.4477764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4477855Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4477860Z 
2025-08-26T21:01:29.4477958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4478151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4478215Z     return mod(**inputs)
2025-08-26T21:01:29.4478450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4478521Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4478758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4478831Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4479042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4479126Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4479353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4479443Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4479668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4479752Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4479995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-26T21:01:29.4480071Z     query_states = self.q(hidden_states)
2025-08-26T21:01:29.4480074Z 
2025-08-26T21:01:29.4480179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4480365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4480429Z     return mod(**inputs)
2025-08-26T21:01:29.4480655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4480743Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4480973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4481042Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4481260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4481336Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4481561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4481650Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4481880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4481967Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4482187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-26T21:01:29.4482259Z     key_states = self.k(current_states)
2025-08-26T21:01:29.4482262Z 
2025-08-26T21:01:29.4482383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4482569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4482639Z     return mod(**inputs)
2025-08-26T21:01:29.4482860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4482930Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4483184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4483252Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4483465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4483559Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4483785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4483866Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4484083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4484172Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4484386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-26T21:01:29.4484470Z     value_states = self.v(current_states)
2025-08-26T21:01:29.4484473Z 
2025-08-26T21:01:29.4484549Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4484624Z cudagraph partition due to non gpu ops
2025-08-26T21:01:29.4484729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4484912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4484985Z     return mod(**inputs)
2025-08-26T21:01:29.4485206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4485276Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4485502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4485571Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4485782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4485858Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4486075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4486158Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4486391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-26T21:01:29.4486480Z     attention_output = self.EncDecAttention(
2025-08-26T21:01:29.4486698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-26T21:01:29.4486778Z     attn_output = self.o(attn_output)
2025-08-26T21:01:29.4486781Z 
2025-08-26T21:01:29.4486876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4487057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4487130Z     return mod(**inputs)
2025-08-26T21:01:29.4487351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4487429Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4487652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4487721Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4487949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4488024Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4488249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-26T21:01:29.4488324Z     cross_attention_outputs = self.layer[1](
2025-08-26T21:01:29.4488547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-26T21:01:29.4488695Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-26T21:01:29.4488699Z 
2025-08-26T21:01:29.4488797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4489006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4489073Z     return mod(**inputs)
2025-08-26T21:01:29.4489311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4489385Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4489613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4489693Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4489908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4489993Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4490217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4490306Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4490543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4490658Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4490893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-26T21:01:29.4490972Z     hidden_states = self.wi(hidden_states)
2025-08-26T21:01:29.4490976Z 
2025-08-26T21:01:29.4491083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4491275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4491342Z     return mod(**inputs)
2025-08-26T21:01:29.4491581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4491653Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4491888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4491977Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4492189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4492278Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4492503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4492663Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4492902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4493036Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4493262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-26T21:01:29.4493343Z     hidden_states = self.act(hidden_states)
2025-08-26T21:01:29.4493347Z 
2025-08-26T21:01:29.4493458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4493652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4493750Z     return mod(**inputs)
2025-08-26T21:01:29.4494000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-26T21:01:29.4494078Z     decoder_outputs = self.decoder(
2025-08-26T21:01:29.4494364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-26T21:01:29.4494444Z     layer_outputs = layer_module(
2025-08-26T21:01:29.4494724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:01:29.4494812Z     return super().__call__(*args, **kwargs)
2025-08-26T21:01:29.4495090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-26T21:01:29.4495218Z     hidden_states = self.layer[-1](hidden_states)
2025-08-26T21:01:29.4495477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-26T21:01:29.4495611Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-26T21:01:29.4495869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-26T21:01:29.4495964Z     hidden_states = self.wo(hidden_states)
2025-08-26T21:01:29.4495967Z 
2025-08-26T21:01:29.4496079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:01:29.4496293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-26T21:01:29.4496374Z     return mod(**inputs)
2025-08-26T21:01:29.4496639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-26T21:01:29.4496745Z     lm_logits = self.lm_head(sequence_output)
2025-08-26T21:01:29.4496749Z 
2025-08-26T21:01:47.1862792Z Compilation time (from dynamo_timed): 23.91309141
2025-08-26T21:01:47.2850641Z pass
2025-08-26T21:01:47.2852538Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:01:47.2853432Z TIMING: _recursive_pre_grad_passes:0.01733 _recursive_joint_graph_passes:1.02212 _recursive_post_grad_passes:0.10508 async_compile.wait:0.56296 code_gen:9.89352 inductor_compile:11.89352 backend_compile:18.69169 gc:0.00012 entire_frame_compile:23.91309 total_wall_time:23.91309
2025-08-26T21:01:47.2854419Z STATS: call_* op count: 1514 | FakeTensorMode.__torch_dispatch__:38414 | FakeTensor.__torch_dispatch__:7461 | ProxyTorchDispatchMode.__torch_dispatch__:14936
2025-08-26T21:01:47.2854939Z Dynamo produced 1 graphs covering 1514 ops with 0 graph breaks (0 unique)
2025-08-26T21:01:51.9101024Z 
2025-08-26T21:01:52.5669332Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:01:52.5674181Z 
2025-08-26T21:01:52.5709019Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-26T21:01:52.5709488Z config.json: 100% 1.21k/1.21k [00:00<00:00, 288kB/s]
2025-08-26T21:02:02.3729948Z 
2025-08-26T21:02:02.3730829Z loading model: 0it [00:10, ?it/s]
2025-08-26T21:02:02.3769241Z cpu  eval  hf_T5_large                        
2025-08-26T21:02:02.5902475Z Compilation time (from dynamo_timed): 0
2025-08-26T21:02:02.5906770Z pass_due_to_skip
2025-08-26T21:02:02.5911392Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:02:02.5916353Z TIMING: total_wall_time:0
2025-08-26T21:02:02.5918643Z STATS: call_* op count: 0
2025-08-26T21:02:02.5924060Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-26T21:02:06.2400707Z 
2025-08-26T21:02:06.8594801Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:02:06.8595149Z 
2025-08-26T21:02:06.8595729Z config.json: 0.00B [00:00, ?B/s]
2025-08-26T21:02:06.8595935Z config.json: 2.26kB [00:00, 13.6MB/s]
2025-08-26T21:02:13.3896710Z 
2025-08-26T21:02:13.3901418Z loading model: 0it [00:07, ?it/s]
2025-08-26T21:02:13.3918985Z cpu  eval  hf_distil_whisper                  
2025-08-26T21:02:28.0076653Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:02:33.0440610Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:02:37.9895285Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:02:49.8858174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8863426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8865514Z     return mod(*inputs)
2025-08-26T21:02:49.8866175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8871013Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8873059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-26T21:02:49.8873776Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-26T21:02:49.8878181Z 
2025-08-26T21:02:49.8883041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8883595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8884011Z     return mod(*inputs)
2025-08-26T21:02:49.8888551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8889047Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8894257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-26T21:02:49.8896850Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-26T21:02:49.8900982Z 
2025-08-26T21:02:49.8905409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8910692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8912844Z     return mod(*inputs)
2025-08-26T21:02:49.8917895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8918500Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8919002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 678, in forward
2025-08-26T21:02:49.8924216Z     inputs_embeds = nn.functional.gelu(self.conv2(inputs_embeds))
2025-08-26T21:02:49.8925889Z 
2025-08-26T21:02:49.8931805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8932237Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8932846Z     return mod(*inputs)
2025-08-26T21:02:49.8933302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8933726Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8937410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.8940102Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.8940571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.8940971Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.8941400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.8941839Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.8942264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.8942706Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.8943068Z 
2025-08-26T21:02:49.8943193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8943574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8943905Z     return mod(*inputs)
2025-08-26T21:02:49.8944295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8944759Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8945158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.8945559Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.8945951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.8946329Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.8946750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.8947182Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.8947603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.8948092Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.8949862Z 
2025-08-26T21:02:49.8954671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8957139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8962073Z     return mod(*inputs)
2025-08-26T21:02:49.8964181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8964764Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8965284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.8965805Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.8966244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.8966733Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.8967604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.8968239Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.8968685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.8969303Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.8969544Z 
2025-08-26T21:02:49.8969640Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.8969874Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.8970096Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.8970313Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.8970585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8970964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8971302Z     return mod(*inputs)
2025-08-26T21:02:49.8971687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8972076Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8972466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.8972973Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.8973383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.8973773Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.8974187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.8974635Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.8975064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.8975526Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.8975984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.8976496Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.8976693Z 
2025-08-26T21:02:49.8976806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8977175Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8977505Z     return mod(*inputs)
2025-08-26T21:02:49.8977892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8978277Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8978662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.8979046Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.8979390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.8979744Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.8980144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.8980558Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.8980972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.8981394Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.8981841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.8982286Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.8982455Z 
2025-08-26T21:02:49.8982559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.8982908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.8983226Z     return mod(*inputs)
2025-08-26T21:02:49.8983610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.8983999Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.8984390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.8984778Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.8985126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.8985484Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.8985884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.8998863Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.8999336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.8999775Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.8999918Z 
2025-08-26T21:02:49.9000041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9000489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9000810Z     return mod(*inputs)
2025-08-26T21:02:49.9001188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9001584Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9001972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9002385Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9002722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9003106Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9003500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9003947Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9004124Z 
2025-08-26T21:02:49.9004234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9004593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9004921Z     return mod(*inputs)
2025-08-26T21:02:49.9005293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9005693Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9006072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9006464Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9007010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9007375Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9007771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9008198Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9008583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9008921Z     return self.act(input)
2025-08-26T21:02:49.9009036Z 
2025-08-26T21:02:49.9009159Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9009497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9009850Z     return mod(*inputs)
2025-08-26T21:02:49.9010297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9010697Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9011087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9011472Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9011818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9012174Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9012569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9013063Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9013208Z 
2025-08-26T21:02:49.9013319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9013685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9014026Z     return mod(*inputs)
2025-08-26T21:02:49.9014408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9014846Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9015244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9015644Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9015999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9016401Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9016795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9017212Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9017679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9018106Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9018270Z 
2025-08-26T21:02:49.9018375Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9018724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9019041Z     return mod(*inputs)
2025-08-26T21:02:49.9019403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9019787Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9020171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9020572Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9020914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9021271Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9021657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9022061Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9022477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9022938Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9023146Z 
2025-08-26T21:02:49.9023254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9023588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9023895Z     return mod(*inputs)
2025-08-26T21:02:49.9024267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9024650Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9025026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9025407Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9025750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9026108Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9026506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9026897Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9027298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9027774Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9027990Z 
2025-08-26T21:02:49.9028082Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9028321Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9028525Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9028729Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9028960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9029311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9029621Z     return mod(*inputs)
2025-08-26T21:02:49.9029985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9030403Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9030799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9031200Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9031534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9031890Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9032279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9032678Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9033069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9033478Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9033911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9034385Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9034566Z 
2025-08-26T21:02:49.9034680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9035021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9035337Z     return mod(*inputs)
2025-08-26T21:02:49.9035702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9036092Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9036468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9036843Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9037183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9037538Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9037948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9038348Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9038739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9039156Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9039574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9040006Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9040161Z 
2025-08-26T21:02:49.9040262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9040599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9040903Z     return mod(*inputs)
2025-08-26T21:02:49.9041260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9041635Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9042014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9042388Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9042718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9043061Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9043439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9043843Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9044232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9044630Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9044764Z 
2025-08-26T21:02:49.9044872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9045207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9045513Z     return mod(*inputs)
2025-08-26T21:02:49.9045863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9046241Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9046615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9046982Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9047312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9047657Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9048041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9048424Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9048556Z 
2025-08-26T21:02:49.9048657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9049001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9049305Z     return mod(*inputs)
2025-08-26T21:02:49.9049655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9050026Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9050393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9050760Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9051165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9051509Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9051882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9052299Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9052467Z 
2025-08-26T21:02:49.9052569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9052997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9053315Z     return mod(*inputs)
2025-08-26T21:02:49.9053676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9054072Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9054455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9054847Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9055213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9055566Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9055950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9056411Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9056786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9057133Z     return self.act(input)
2025-08-26T21:02:49.9057251Z 
2025-08-26T21:02:49.9057355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9057700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9058034Z     return mod(*inputs)
2025-08-26T21:02:49.9058395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9058777Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9059159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9059541Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9059881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9060231Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9060636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9061050Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9061190Z 
2025-08-26T21:02:49.9061305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9061662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9061977Z     return mod(*inputs)
2025-08-26T21:02:49.9062352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9062752Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9063164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9063575Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9063919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9064300Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9064713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9065146Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9065575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9066027Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9066200Z 
2025-08-26T21:02:49.9066316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9066651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9066958Z     return mod(*inputs)
2025-08-26T21:02:49.9067305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9067681Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9068050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9068421Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9068753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9069103Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9069483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9069876Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9070263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9070723Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9070934Z 
2025-08-26T21:02:49.9071037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9071375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9071702Z     return mod(*inputs)
2025-08-26T21:02:49.9072052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9072430Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9072791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9073163Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9073491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9073833Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9074213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9074597Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9074989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9075445Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9075654Z 
2025-08-26T21:02:49.9075743Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9075946Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9076152Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9076353Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9076581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9076921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9077225Z     return mod(*inputs)
2025-08-26T21:02:49.9077579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9077962Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9078350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9078721Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9079058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9079404Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9079784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9080175Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9080559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9080959Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9081379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9081842Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9082017Z 
2025-08-26T21:02:49.9082139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9082472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9082779Z     return mod(*inputs)
2025-08-26T21:02:49.9083131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9083508Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9083888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9084260Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9084597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9084958Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9085335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9085717Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9086105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9086500Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9086919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9087350Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9087501Z 
2025-08-26T21:02:49.9087600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9087937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9088244Z     return mod(*inputs)
2025-08-26T21:02:49.9088593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9088973Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9089335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9089705Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9090035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9090379Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9090752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9091142Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9092448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9092947Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9093088Z 
2025-08-26T21:02:49.9093210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9093568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9093895Z     return mod(*inputs)
2025-08-26T21:02:49.9094298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9094701Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9095102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9095495Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9095857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9096227Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9096649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9097083Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9097262Z 
2025-08-26T21:02:49.9097368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9097726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9098047Z     return mod(*inputs)
2025-08-26T21:02:49.9098433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9098825Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9099216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9099644Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9099994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9100359Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9100755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9101192Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9101578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9101924Z     return self.act(input)
2025-08-26T21:02:49.9102035Z 
2025-08-26T21:02:49.9102140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9102496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9102831Z     return mod(*inputs)
2025-08-26T21:02:49.9103182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9103556Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9103920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9104292Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9104626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9104966Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9105337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9105720Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9105856Z 
2025-08-26T21:02:49.9105957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9106316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9106812Z     return mod(*inputs)
2025-08-26T21:02:49.9107169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9107548Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9107920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9108293Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9108627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9108969Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9109350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9109749Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9110144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9110602Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9110771Z 
2025-08-26T21:02:49.9110873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9111213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9111522Z     return mod(*inputs)
2025-08-26T21:02:49.9111873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9112274Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9112652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9113057Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9113392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9113737Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9114109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9114501Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9114887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9115343Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9115549Z 
2025-08-26T21:02:49.9115656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9115987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9116295Z     return mod(*inputs)
2025-08-26T21:02:49.9116657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9117043Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9117413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9117796Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9118137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9118488Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9118875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9119269Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9119669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9120168Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9120386Z 
2025-08-26T21:02:49.9120489Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9120715Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9120926Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9121123Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9121354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9121697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9122009Z     return mod(*inputs)
2025-08-26T21:02:49.9122356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9122736Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9123112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9123487Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9123839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9124177Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9124558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9124950Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9125341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9125752Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9126175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9126652Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9126827Z 
2025-08-26T21:02:49.9126934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9127275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9127577Z     return mod(*inputs)
2025-08-26T21:02:49.9127933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9128314Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9128685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9129067Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9129391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9129741Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9130121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9130513Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9130897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9131292Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9131711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9132154Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9132311Z 
2025-08-26T21:02:49.9132420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9132824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9133153Z     return mod(*inputs)
2025-08-26T21:02:49.9133546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9133950Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9134341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9134729Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9135097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9135452Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9135846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9136255Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9136656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9137048Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9137190Z 
2025-08-26T21:02:49.9137309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9137671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9137987Z     return mod(*inputs)
2025-08-26T21:02:49.9138352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9138750Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9139169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9139550Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9139896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9140278Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9140678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9141083Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9141219Z 
2025-08-26T21:02:49.9141331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9141677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9142002Z     return mod(*inputs)
2025-08-26T21:02:49.9142374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9142776Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9143159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9143549Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9143903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9144264Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9144669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9145103Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9145282Z 
2025-08-26T21:02:49.9145389Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9145748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9146072Z     return mod(*inputs)
2025-08-26T21:02:49.9146446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9146833Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9147226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9147609Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9147953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9148302Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9148708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9149150Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9149545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9149888Z     return self.act(input)
2025-08-26T21:02:49.9150011Z 
2025-08-26T21:02:49.9150114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9150469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9150785Z     return mod(*inputs)
2025-08-26T21:02:49.9151163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9151552Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9151946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9152343Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9152701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9153102Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9153542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9153968Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9154115Z 
2025-08-26T21:02:49.9154225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9154588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9154910Z     return mod(*inputs)
2025-08-26T21:02:49.9155277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9155679Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9156074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9156474Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9156820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9157185Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9157590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9158006Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9158419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9158848Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9159022Z 
2025-08-26T21:02:49.9159128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9159487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9159810Z     return mod(*inputs)
2025-08-26T21:02:49.9160185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9160583Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9160999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9161401Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9161757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9162114Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9162515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9162928Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9163344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9163840Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9164044Z 
2025-08-26T21:02:49.9164144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9164490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9164799Z     return mod(*inputs)
2025-08-26T21:02:49.9165165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9165547Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9165910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9166281Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9166616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9166977Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9167358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9167761Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9168150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9168611Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9168821Z 
2025-08-26T21:02:49.9168910Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9169112Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9169320Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9169523Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9169751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9170093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9170395Z     return mod(*inputs)
2025-08-26T21:02:49.9170750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9171136Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9171509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9171878Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9172211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9172555Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9173066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9173520Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9173979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9174422Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9174864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9175321Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9175494Z 
2025-08-26T21:02:49.9175603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9175940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9176245Z     return mod(*inputs)
2025-08-26T21:02:49.9176596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9176975Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9177341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9177713Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9178045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9178381Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9178769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9179150Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9179533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9179920Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9180352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9180787Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9180941Z 
2025-08-26T21:02:49.9181060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9181402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9181715Z     return mod(*inputs)
2025-08-26T21:02:49.9182072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9182456Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9182830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9183214Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9183547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9183894Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9184281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9184669Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9185056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9185441Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9185567Z 
2025-08-26T21:02:49.9185673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9186002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9186307Z     return mod(*inputs)
2025-08-26T21:02:49.9186661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9187037Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9187398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9187784Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9188131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9188477Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9188859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9189270Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9189442Z 
2025-08-26T21:02:49.9189542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9189880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9190188Z     return mod(*inputs)
2025-08-26T21:02:49.9190544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9190916Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9191296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9191670Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9192019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9192364Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9192735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9193148Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9193536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9193861Z     return self.act(input)
2025-08-26T21:02:49.9193968Z 
2025-08-26T21:02:49.9194069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9194425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9194736Z     return mod(*inputs)
2025-08-26T21:02:49.9195087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9195460Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9195819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9196189Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9196519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9196864Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9197237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9197618Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9197757Z 
2025-08-26T21:02:49.9197858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9198197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9198508Z     return mod(*inputs)
2025-08-26T21:02:49.9198869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9199245Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9199615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9199988Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9200320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9200655Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9201061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9201456Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9201844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9202250Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9202414Z 
2025-08-26T21:02:49.9202513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9202855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9203160Z     return mod(*inputs)
2025-08-26T21:02:49.9203524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9203892Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9204674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9205050Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9205413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9205757Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9206132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9206648Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9207058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9207560Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9207766Z 
2025-08-26T21:02:49.9207875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9208240Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9208553Z     return mod(*inputs)
2025-08-26T21:02:49.9208912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9209290Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9209655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9210028Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9210357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9210701Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9211080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9211463Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9211852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9212309Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9212514Z 
2025-08-26T21:02:49.9212644Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9212889Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9213102Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9213321Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9213567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9213947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9214254Z     return mod(*inputs)
2025-08-26T21:02:49.9214620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9215013Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9215424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9215843Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9216176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9216536Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9216967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9217374Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9217775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9218187Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9218623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9219094Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9219276Z 
2025-08-26T21:02:49.9219412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9219762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9220080Z     return mod(*inputs)
2025-08-26T21:02:49.9220443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9220860Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9221243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9221618Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9221980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9222334Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9222728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9223131Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9223524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9223934Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9224365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9224809Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9224966Z 
2025-08-26T21:02:49.9225078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9225425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9225752Z     return mod(*inputs)
2025-08-26T21:02:49.9226118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9226507Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9226879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9227260Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9227600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9227954Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9228342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9228738Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9229159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9229552Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9229696Z 
2025-08-26T21:02:49.9229803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9230134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9230440Z     return mod(*inputs)
2025-08-26T21:02:49.9230790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9231170Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9231539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9231900Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9232234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9232579Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9232974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9233353Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9233483Z 
2025-08-26T21:02:49.9233588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9233926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9234251Z     return mod(*inputs)
2025-08-26T21:02:49.9234604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9234976Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9235365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9235737Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9236068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9236410Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9236782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9237198Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9237368Z 
2025-08-26T21:02:49.9237469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9237808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9238115Z     return mod(*inputs)
2025-08-26T21:02:49.9238459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9238837Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9239217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9239593Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9239916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9240259Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9240638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9241054Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9241422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9241742Z     return self.act(input)
2025-08-26T21:02:49.9241861Z 
2025-08-26T21:02:49.9241978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9242324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9242635Z     return mod(*inputs)
2025-08-26T21:02:49.9242990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9243364Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9243736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9244109Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9244440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9244781Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9245161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9245544Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9245675Z 
2025-08-26T21:02:49.9245784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9246138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9246442Z     return mod(*inputs)
2025-08-26T21:02:49.9246792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9247167Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9247537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9247930Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9248258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9248617Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9248998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9249393Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9249776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9250189Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9250354Z 
2025-08-26T21:02:49.9250455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9250797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9251107Z     return mod(*inputs)
2025-08-26T21:02:49.9251456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9251834Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9252207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9252599Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9253028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9253391Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9253796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9254220Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9254636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9255103Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9255330Z 
2025-08-26T21:02:49.9255465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9255823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9256145Z     return mod(*inputs)
2025-08-26T21:02:49.9256512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9256898Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9257283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9257666Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9258007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9258362Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9258800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9259210Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9259627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9260101Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9260317Z 
2025-08-26T21:02:49.9260406Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9260615Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9260825Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9261032Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9261281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9261623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9261937Z     return mod(*inputs)
2025-08-26T21:02:49.9262350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9262739Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9263113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9263494Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9263836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9264190Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9264578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9264973Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9265376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9265797Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9266230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9266698Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9266877Z 
2025-08-26T21:02:49.9266980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9267327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9267643Z     return mod(*inputs)
2025-08-26T21:02:49.9268003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9268392Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9268766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9269147Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9269501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9269862Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9270256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9270654Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9271049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9271451Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9271871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9272300Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9272465Z 
2025-08-26T21:02:49.9272570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9272917Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9273250Z     return mod(*inputs)
2025-08-26T21:02:49.9273607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9273977Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9274346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9274734Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9275069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9275413Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9275817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9276209Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9276598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9276984Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9277115Z 
2025-08-26T21:02:49.9277216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9277557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9277862Z     return mod(*inputs)
2025-08-26T21:02:49.9278216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9278590Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9278959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9279337Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9279670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9280015Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9280386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9280802Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9280973Z 
2025-08-26T21:02:49.9281073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9281412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9281720Z     return mod(*inputs)
2025-08-26T21:02:49.9282069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9282455Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9282849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9283232Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9283570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9283904Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9284281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9284698Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9285065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9285384Z     return self.act(input)
2025-08-26T21:02:49.9285500Z 
2025-08-26T21:02:49.9285603Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9285942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9286249Z     return mod(*inputs)
2025-08-26T21:02:49.9286616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9286988Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9287358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9287728Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9288079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9288421Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9288790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9289187Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9289324Z 
2025-08-26T21:02:49.9289425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9289762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9290060Z     return mod(*inputs)
2025-08-26T21:02:49.9290412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9290789Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9291157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9291527Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9291849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9292194Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9292588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9293078Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9293498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9293981Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9294149Z 
2025-08-26T21:02:49.9294252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9294595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9294907Z     return mod(*inputs)
2025-08-26T21:02:49.9295252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9295633Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9296036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9296423Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9296765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9297110Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9297501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9297899Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9298296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9298765Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9298974Z 
2025-08-26T21:02:49.9299078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9299427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9299742Z     return mod(*inputs)
2025-08-26T21:02:49.9300120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9300492Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9300869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9301241Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9301591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9301940Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9302320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9302739Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9303134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9303599Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9303805Z 
2025-08-26T21:02:49.9303891Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9304093Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9304300Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9304502Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9304732Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9305061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9305369Z     return mod(*inputs)
2025-08-26T21:02:49.9305726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9306104Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9306473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9307068Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9307412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9307764Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9308148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9308538Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9308933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9309338Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9309804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9310258Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9310433Z 
2025-08-26T21:02:49.9310532Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9310874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9311179Z     return mod(*inputs)
2025-08-26T21:02:49.9311531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9311911Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9312277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9312655Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9312989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9313336Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9313735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9314131Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9314524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9314918Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9315377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9315809Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9315991Z 
2025-08-26T21:02:49.9316092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9316433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9316745Z     return mod(*inputs)
2025-08-26T21:02:49.9317101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9317472Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9317846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9318222Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9318560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9318911Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9319284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9319676Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9320068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9320450Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9320580Z 
2025-08-26T21:02:49.9320688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9321017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9321321Z     return mod(*inputs)
2025-08-26T21:02:49.9321675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9322053Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9322416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9322788Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9323133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9323484Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9323867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9324245Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9324382Z 
2025-08-26T21:02:49.9324481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9324820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9325128Z     return mod(*inputs)
2025-08-26T21:02:49.9325475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9325859Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9326233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9326605Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9326949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9327288Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9327667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9328082Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9328267Z 
2025-08-26T21:02:49.9328377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9328734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9329066Z     return mod(*inputs)
2025-08-26T21:02:49.9329437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9329829Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9330217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9330594Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9330939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9331295Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9331744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9332163Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9332533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9332932Z     return self.act(input)
2025-08-26T21:02:49.9333056Z 
2025-08-26T21:02:49.9333161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9333518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9333878Z     return mod(*inputs)
2025-08-26T21:02:49.9334132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9334204Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9334459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9334530Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9334752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9334834Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9335099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9335193Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9335198Z 
2025-08-26T21:02:49.9335299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9335491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9335556Z     return mod(*inputs)
2025-08-26T21:02:49.9335812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9335894Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9336143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9336223Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9336436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9336521Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9336781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9336874Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9337125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9337232Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9337235Z 
2025-08-26T21:02:49.9337360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9337547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9337614Z     return mod(*inputs)
2025-08-26T21:02:49.9337871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9337961Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9338215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9338286Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9338502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9338578Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9338823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9338924Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9339171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9339335Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9339340Z 
2025-08-26T21:02:49.9339440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9339621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9339690Z     return mod(*inputs)
2025-08-26T21:02:49.9339936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9340014Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9340256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9340335Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9340542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9340618Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9340882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9340973Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9341228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9341387Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9341391Z 
2025-08-26T21:02:49.9341469Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9341553Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9341631Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9341714Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9341812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9341995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9342066Z     return mod(*inputs)
2025-08-26T21:02:49.9342321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9342411Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9342661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9342738Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9342947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9343022Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9343303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9343390Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9343658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9343755Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9344031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9344166Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9344169Z 
2025-08-26T21:02:49.9344268Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9344462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9344526Z     return mod(*inputs)
2025-08-26T21:02:49.9344781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9344852Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9345099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9345177Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9345387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9345471Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9345714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9345804Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9346064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9346160Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9346442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9346567Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9346571Z 
2025-08-26T21:02:49.9346678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9346862Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9346926Z     return mod(*inputs)
2025-08-26T21:02:49.9347179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9347251Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9347503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9347575Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9347782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9347869Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9348113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9348221Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9348466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9348545Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9348558Z 
2025-08-26T21:02:49.9348656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9348840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9348934Z     return mod(*inputs)
2025-08-26T21:02:49.9349182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9349278Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9349525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9349598Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9349812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9349887Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9350141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9350255Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9350260Z 
2025-08-26T21:02:49.9350365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9350547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9350608Z     return mod(*inputs)
2025-08-26T21:02:49.9350865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9350936Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9351189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9351260Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9351465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9351549Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9351792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9351916Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9352117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9352187Z     return self.act(input)
2025-08-26T21:02:49.9352190Z 
2025-08-26T21:02:49.9352311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9352496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9352565Z     return mod(*inputs)
2025-08-26T21:02:49.9352812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9352887Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9353129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9353201Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9353413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9353490Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9353743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9353824Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9353827Z 
2025-08-26T21:02:49.9353944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9354138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9354202Z     return mod(*inputs)
2025-08-26T21:02:49.9354457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9354532Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9354795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9354874Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9355080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9355181Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9355426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9355521Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9355764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9355871Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9355874Z 
2025-08-26T21:02:49.9355980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9356166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9356234Z     return mod(*inputs)
2025-08-26T21:02:49.9356480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9356553Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9356804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9356874Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9357086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9357162Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9357413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9357500Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9357744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9357904Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9357909Z 
2025-08-26T21:02:49.9358020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9358212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9358275Z     return mod(*inputs)
2025-08-26T21:02:49.9358524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9358600Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9358842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9358921Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9359126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9359207Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9359456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9359544Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9359809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9359967Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9359971Z 
2025-08-26T21:02:49.9360059Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9360137Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9360213Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9360309Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9360407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9360601Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9360679Z     return mod(*inputs)
2025-08-26T21:02:49.9360929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9361008Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9361252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9361329Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9361536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9361621Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9361864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9361952Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9362205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9362301Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9362586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9362713Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9362717Z 
2025-08-26T21:02:49.9362817Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9363011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9363075Z     return mod(*inputs)
2025-08-26T21:02:49.9363332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9363404Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9363656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9363741Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9363950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9364034Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9364280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9364374Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9364617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9364711Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9364993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9365101Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9365106Z 
2025-08-26T21:02:49.9365213Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9365427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9365501Z     return mod(*inputs)
2025-08-26T21:02:49.9365748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9365819Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9366068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9366156Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9366373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9366451Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9366712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9366808Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9367053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9367141Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9367145Z 
2025-08-26T21:02:49.9367243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9367435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9367501Z     return mod(*inputs)
2025-08-26T21:02:49.9367748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9367826Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9368077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9368157Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9368365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9368439Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9368691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9368768Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9368771Z 
2025-08-26T21:02:49.9368874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9369059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9369123Z     return mod(*inputs)
2025-08-26T21:02:49.9369376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9369465Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9369719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9369788Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9369999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9370073Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9370317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9370438Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9370442Z 
2025-08-26T21:02:49.9370538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9370729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9370793Z     return mod(*inputs)
2025-08-26T21:02:49.9371041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9371132Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9371377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9371453Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9371658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9371757Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9372002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9372114Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9372337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9372407Z     return self.act(input)
2025-08-26T21:02:49.9372410Z 
2025-08-26T21:02:49.9372519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9372777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9372848Z     return mod(*inputs)
2025-08-26T21:02:49.9373117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9373189Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9373465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9373538Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9373756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9373845Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9374100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9374201Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9374205Z 
2025-08-26T21:02:49.9374306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9374498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9374563Z     return mod(*inputs)
2025-08-26T21:02:49.9374821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9374903Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9375158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9375240Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9375477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9375558Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9375820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9375911Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9376172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9376281Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9376285Z 
2025-08-26T21:02:49.9376393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9376583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9376654Z     return mod(*inputs)
2025-08-26T21:02:49.9376920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9376991Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9377268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9377340Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9377554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9377637Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9377912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9378007Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9378259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9378446Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9378450Z 
2025-08-26T21:02:49.9378553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9378744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9378815Z     return mod(*inputs)
2025-08-26T21:02:49.9379068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9379145Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9379401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9379473Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9379694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9379775Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9380035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9380124Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9380380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9380550Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9380555Z 
2025-08-26T21:02:49.9380635Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9380726Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9380806Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9380888Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9380987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9381200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9381275Z     return mod(*inputs)
2025-08-26T21:02:49.9381532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9381610Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9381867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9381937Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9382161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9382240Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9382499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9382588Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9382840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9382961Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9383238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9383374Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9383377Z 
2025-08-26T21:02:49.9383478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9383690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9383754Z     return mod(*inputs)
2025-08-26T21:02:49.9384010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9384116Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9384370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9384453Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9384666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9384744Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9385001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9385091Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9385352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9385448Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9385741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9385855Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9385859Z 
2025-08-26T21:02:49.9385963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9386164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9386228Z     return mod(*inputs)
2025-08-26T21:02:49.9386502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9386573Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9386818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9386895Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9387103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9387221Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9387474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9387567Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9387809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9387888Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9387891Z 
2025-08-26T21:02:49.9387997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9388183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9388252Z     return mod(*inputs)
2025-08-26T21:02:49.9388499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9388571Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9388824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9388908Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9389124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9389199Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9389450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9389579Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9389582Z 
2025-08-26T21:02:49.9389680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9389876Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9389958Z     return mod(*inputs)
2025-08-26T21:02:49.9390213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9390285Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9390532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9390610Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9390819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9390903Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9391153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9391267Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9391477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9391547Z     return self.act(input)
2025-08-26T21:02:49.9391551Z 
2025-08-26T21:02:49.9391657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9391844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9391916Z     return mod(*inputs)
2025-08-26T21:02:49.9392166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9392235Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9392490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9392561Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9392773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9392850Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9393115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9393205Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9393208Z 
2025-08-26T21:02:49.9393306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9393495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9393557Z     return mod(*inputs)
2025-08-26T21:02:49.9393814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9393887Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9394132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9394210Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9394420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9394505Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9394766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9394854Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9395107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9395212Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9395267Z 
2025-08-26T21:02:49.9395374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9395557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9395641Z     return mod(*inputs)
2025-08-26T21:02:49.9395890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9395959Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9396210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9396279Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9396493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9396567Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9396811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9396908Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9397152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9397313Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9397316Z 
2025-08-26T21:02:49.9397415Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9397608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9397671Z     return mod(*inputs)
2025-08-26T21:02:49.9397919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9397996Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9398242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9398321Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9398525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9398602Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9398866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9398957Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9399207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9399363Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9399366Z 
2025-08-26T21:02:49.9399449Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9399528Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9399602Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9399681Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9399778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9399970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9400033Z     return mod(*inputs)
2025-08-26T21:02:49.9400294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9400374Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9400617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9400695Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9400900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9400991Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9401242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9401347Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9401599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9401694Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9401966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9402100Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9402103Z 
2025-08-26T21:02:49.9402200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9402391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9402456Z     return mod(*inputs)
2025-08-26T21:02:49.9402711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9402783Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9403026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9403104Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9403310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9403394Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9403639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9403726Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9403981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9404074Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9404351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9404478Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9404482Z 
2025-08-26T21:02:49.9404593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9404786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9404852Z     return mod(*inputs)
2025-08-26T21:02:49.9405107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9405179Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9405435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9405503Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9405711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9405797Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9406041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9406149Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9406396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9406482Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9406485Z 
2025-08-26T21:02:49.9406707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9406938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9407011Z     return mod(*inputs)
2025-08-26T21:02:49.9407259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9407371Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9407617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9407690Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9407900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9407978Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9408233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9408311Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9408316Z 
2025-08-26T21:02:49.9408423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9408607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9408673Z     return mod(*inputs)
2025-08-26T21:02:49.9408935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9409006Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9409260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9409330Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9409537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9409619Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9409864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9409986Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9409989Z 
2025-08-26T21:02:49.9410086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9410305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9410369Z     return mod(*inputs)
2025-08-26T21:02:49.9410617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9410693Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9410936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9411012Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9411220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9411297Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9411550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9411662Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9411868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9411967Z     return self.act(input)
2025-08-26T21:02:49.9411970Z 
2025-08-26T21:02:49.9412069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9412259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9412325Z     return mod(*inputs)
2025-08-26T21:02:49.9412600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9412748Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9413025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9413101Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9413343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9413432Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9413699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9413799Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9413802Z 
2025-08-26T21:02:49.9413902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9414089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9414162Z     return mod(*inputs)
2025-08-26T21:02:49.9414438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9414521Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9414787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9414864Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9415098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9415180Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9415455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9415554Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9415831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9415949Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9415954Z 
2025-08-26T21:02:49.9416060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9416267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9416356Z     return mod(*inputs)
2025-08-26T21:02:49.9416636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9416711Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9416978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9417060Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9417284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9417375Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9417638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9417740Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9418007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9418187Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9418191Z 
2025-08-26T21:02:49.9418310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9418509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9418585Z     return mod(*inputs)
2025-08-26T21:02:49.9418855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9418949Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9419220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9419312Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9419543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9419625Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9419898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9419994Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9420315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9420490Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9420496Z 
2025-08-26T21:02:49.9420581Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9420671Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9420753Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9420834Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9420949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9421149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9421223Z     return mod(*inputs)
2025-08-26T21:02:49.9421532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9421609Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9421883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9421960Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9422194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9422275Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9422545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9422662Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9422941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9423051Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9423357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9423506Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9423510Z 
2025-08-26T21:02:49.9423620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9423819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9423890Z     return mod(*inputs)
2025-08-26T21:02:49.9424147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9424229Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9424500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9424578Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9424786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9424863Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9425119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9425227Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9425483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9425598Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9425881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9426001Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9426004Z 
2025-08-26T21:02:49.9426104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9426301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9426366Z     return mod(*inputs)
2025-08-26T21:02:49.9426629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9426703Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9426961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9427039Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9427247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9427329Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9427575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9427660Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9427908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9427986Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9427991Z 
2025-08-26T21:02:49.9428097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9428280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9428342Z     return mod(*inputs)
2025-08-26T21:02:49.9428614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9428687Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9428940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9429010Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9429225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9429300Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9429545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9429669Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9429673Z 
2025-08-26T21:02:49.9429773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9429967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9430029Z     return mod(*inputs)
2025-08-26T21:02:49.9430294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9430373Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9430617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9430693Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9430901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9431006Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9431255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9431381Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9431587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9431654Z     return self.act(input)
2025-08-26T21:02:49.9431658Z 
2025-08-26T21:02:49.9431764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9431947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9432009Z     return mod(*inputs)
2025-08-26T21:02:49.9432265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9432336Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9432589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9432658Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9432879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9432956Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9433202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9433287Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9433290Z 
2025-08-26T21:02:49.9433387Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9433587Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9433649Z     return mod(*inputs)
2025-08-26T21:02:49.9433897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9433974Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9434218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9434311Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9434521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9434598Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9434854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9434940Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9435197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9435306Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9435309Z 
2025-08-26T21:02:49.9435413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9435598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9435665Z     return mod(*inputs)
2025-08-26T21:02:49.9435924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9436008Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9436258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9436327Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9436533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9436632Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9436877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9436969Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9437234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9437391Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9437396Z 
2025-08-26T21:02:49.9437494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9437677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9437747Z     return mod(*inputs)
2025-08-26T21:02:49.9437992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9438069Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9438314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9438384Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9438600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9438675Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9438932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9439018Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9439267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9439421Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9439426Z 
2025-08-26T21:02:49.9439504Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9439590Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9439666Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9439747Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9439846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9440048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9440120Z     return mod(*inputs)
2025-08-26T21:02:49.9440369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9440448Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9440690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9440760Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9440975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9441051Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9441304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9441392Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9441657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9441752Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9442020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9442154Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9442158Z 
2025-08-26T21:02:49.9442254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9442466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9442528Z     return mod(*inputs)
2025-08-26T21:02:49.9442781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9442877Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9443121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9443200Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9443406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9443491Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9443732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9443820Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9444070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9444162Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9444441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9444549Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9444552Z 
2025-08-26T21:02:49.9444650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9444840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9444902Z     return mod(*inputs)
2025-08-26T21:02:49.9445156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9445228Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9445478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9445548Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9445772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9445858Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9446105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9446198Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9446446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9446525Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9446530Z 
2025-08-26T21:02:49.9446636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9446820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9446889Z     return mod(*inputs)
2025-08-26T21:02:49.9447144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9447216Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9447485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9447556Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9447766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9447841Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9448090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9448183Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9448187Z 
2025-08-26T21:02:49.9448284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9448474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9448552Z     return mod(*inputs)
2025-08-26T21:02:49.9448808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9448879Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9449123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9449200Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9449407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9449492Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9449734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9449853Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9449858Z 
2025-08-26T21:02:49.9449956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9450138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9450210Z     return mod(*inputs)
2025-08-26T21:02:49.9450457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9450534Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9450778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9450849Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9451065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9451139Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9451390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9451516Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9451724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9451791Z     return self.act(input)
2025-08-26T21:02:49.9451794Z 
2025-08-26T21:02:49.9451892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9452081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9452144Z     return mod(*inputs)
2025-08-26T21:02:49.9452395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9452466Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9452787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9452880Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9453111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9453228Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9453496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9453582Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9453594Z 
2025-08-26T21:02:49.9453701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9453908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9454003Z     return mod(*inputs)
2025-08-26T21:02:49.9454273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9454380Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9454638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9454714Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9454951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9455034Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9455309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9455402Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9455670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9455793Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9455798Z 
2025-08-26T21:02:49.9455902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9456108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9456175Z     return mod(*inputs)
2025-08-26T21:02:49.9456451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9456527Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9456795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9456877Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9457102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9457190Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9457456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9457568Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9457844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9458007Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9458012Z 
2025-08-26T21:02:49.9458126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9458327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9458401Z     return mod(*inputs)
2025-08-26T21:02:49.9458667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9458742Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9459009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9459090Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9459321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9459421Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9459687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9459788Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9460050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9460246Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9460250Z 
2025-08-26T21:02:49.9460335Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9460427Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9460525Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9460607Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9460722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9460923Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9460999Z     return mod(*inputs)
2025-08-26T21:02:49.9461266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9461343Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9461615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9461693Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9461922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9462005Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9462269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9462371Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9462636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9462749Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9463019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9463145Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9463156Z 
2025-08-26T21:02:49.9463254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9463436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9463507Z     return mod(*inputs)
2025-08-26T21:02:49.9463766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9463844Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9464089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9464160Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9464374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9464450Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9464702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9464791Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9465036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9465140Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9465423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9465541Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9465545Z 
2025-08-26T21:02:49.9465643Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9465838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9465906Z     return mod(*inputs)
2025-08-26T21:02:49.9466175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9466255Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9466508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9466606Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9466816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9466895Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9467147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9467234Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9467489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9467572Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9467577Z 
2025-08-26T21:02:49.9467680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9467864Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9467929Z     return mod(*inputs)
2025-08-26T21:02:49.9468187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9468259Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9468513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9468582Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9468790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9468875Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9469122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9469242Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9469246Z 
2025-08-26T21:02:49.9469342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9469548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9469613Z     return mod(*inputs)
2025-08-26T21:02:49.9469866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9469943Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9470191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9470266Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9470480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9470558Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9470812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9470930Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9471154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9471225Z     return self.act(input)
2025-08-26T21:02:49.9471230Z 
2025-08-26T21:02:49.9471335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9471514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9471577Z     return mod(*inputs)
2025-08-26T21:02:49.9471827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9471917Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9472167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9472255Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9472464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9472551Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9472795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9472880Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9472884Z 
2025-08-26T21:02:49.9472980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9473159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9473230Z     return mod(*inputs)
2025-08-26T21:02:49.9473476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9473555Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9473800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9473877Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9474082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9474158Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9474409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9474495Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9474749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9474857Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9474860Z 
2025-08-26T21:02:49.9474957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9475177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9475242Z     return mod(*inputs)
2025-08-26T21:02:49.9475500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9475571Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9475822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9475895Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9476102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9476187Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9476431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9476525Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9476771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9476937Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9476941Z 
2025-08-26T21:02:49.9477046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9477228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9477297Z     return mod(*inputs)
2025-08-26T21:02:49.9477542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9477636Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9477884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9477971Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9478200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9478277Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9478531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9478619Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9478865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9479030Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9479033Z 
2025-08-26T21:02:49.9479113Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9479198Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9479275Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9479349Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9479455Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9479642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9479713Z     return mod(*inputs)
2025-08-26T21:02:49.9479963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9480033Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9480285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9480357Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9480570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9480646Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9480911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9480999Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9481244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9481346Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9481618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9481750Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9481755Z 
2025-08-26T21:02:49.9481853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9482045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9482108Z     return mod(*inputs)
2025-08-26T21:02:49.9482361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9482438Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9482702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9482779Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9482988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9483063Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9483319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9483422Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9483675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9483788Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9484058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9484171Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9484174Z 
2025-08-26T21:02:49.9484271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9484465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9484527Z     return mod(*inputs)
2025-08-26T21:02:49.9484777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9484850Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9485094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9485172Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9485380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9485466Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9485711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9485796Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9486049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9486130Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9486134Z 
2025-08-26T21:02:49.9486240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9486425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9486498Z     return mod(*inputs)
2025-08-26T21:02:49.9486761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9486832Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9487088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9487159Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9487376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9487451Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9487703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9487789Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9487792Z 
2025-08-26T21:02:49.9487893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9488089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9488152Z     return mod(*inputs)
2025-08-26T21:02:49.9488460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9488532Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9488780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9488858Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9489066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9489165Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9489408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9489537Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9489540Z 
2025-08-26T21:02:49.9489647Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9489842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9489912Z     return mod(*inputs)
2025-08-26T21:02:49.9490165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9490235Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9490681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9490760Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9490977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9491055Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9491312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9491440Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9491650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9491730Z     return self.act(input)
2025-08-26T21:02:49.9491733Z 
2025-08-26T21:02:49.9491833Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9492026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9492091Z     return mod(*inputs)
2025-08-26T21:02:49.9492341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9492418Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9492747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9492838Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9493064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9493158Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9493420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9493505Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9493508Z 
2025-08-26T21:02:49.9493625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9493825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9493901Z     return mod(*inputs)
2025-08-26T21:02:49.9494206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9494283Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9494555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9494626Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9494840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9494918Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9495211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9495331Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9495593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9495735Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9495739Z 
2025-08-26T21:02:49.9495845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9496050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9496117Z     return mod(*inputs)
2025-08-26T21:02:49.9496388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9496470Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9496731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9496811Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9497031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9497109Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9497377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9497468Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9497737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9497898Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9497901Z 
2025-08-26T21:02:49.9498011Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9498209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9498275Z     return mod(*inputs)
2025-08-26T21:02:49.9498547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9498619Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9498905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9498978Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9499196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9499281Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9499539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9499636Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9499895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9500068Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9500071Z 
2025-08-26T21:02:49.9500155Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9500238Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9500325Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9500403Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9500528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9500727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9500794Z     return mod(*inputs)
2025-08-26T21:02:49.9501066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9501139Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9501421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9501494Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9501717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9501821Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9502079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9502177Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9502436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9502542Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9502826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9502962Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9502966Z 
2025-08-26T21:02:49.9503078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9503286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9503357Z     return mod(*inputs)
2025-08-26T21:02:49.9503607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9503678Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9503931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9504000Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9504213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9504290Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9504543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9504629Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9504889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9504993Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9505265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9505383Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9505387Z 
2025-08-26T21:02:49.9505487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9505684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9505760Z     return mod(*inputs)
2025-08-26T21:02:49.9506010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9506088Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9506334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9506412Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9506800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9506883Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9507143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9507232Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9507487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9507590Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9507593Z 
2025-08-26T21:02:49.9507691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9507906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9507969Z     return mod(*inputs)
2025-08-26T21:02:49.9508229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9508300Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9508544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9508621Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9508826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9508913Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9509158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9509282Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9509286Z 
2025-08-26T21:02:49.9509385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9509570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9509641Z     return mod(*inputs)
2025-08-26T21:02:49.9509888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9509965Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9510208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9510281Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9510497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9510574Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9510850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9510964Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9511171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9511239Z     return self.act(input)
2025-08-26T21:02:49.9511242Z 
2025-08-26T21:02:49.9511341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9511534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9511600Z     return mod(*inputs)
2025-08-26T21:02:49.9511855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9511925Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9512174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9512252Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9512475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9512558Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9512800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9512877Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9512887Z 
2025-08-26T21:02:49.9512985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9513182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9513252Z     return mod(*inputs)
2025-08-26T21:02:49.9513496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9513590Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9513840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9513912Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9514129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9514204Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9514457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9514545Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9514793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9514909Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9514913Z 
2025-08-26T21:02:49.9515014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9515209Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9515273Z     return mod(*inputs)
2025-08-26T21:02:49.9515530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9515601Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9515847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9515924Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9516134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9516218Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9516480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9516569Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9516823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9516975Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9516979Z 
2025-08-26T21:02:49.9517086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9517270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9517346Z     return mod(*inputs)
2025-08-26T21:02:49.9517594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9517664Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9517931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9518000Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9518231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9518309Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9518557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9518655Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9518905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9519092Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9519096Z 
2025-08-26T21:02:49.9519176Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9519278Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9519356Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9519430Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9519536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9519727Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9519797Z     return mod(*inputs)
2025-08-26T21:02:49.9520057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9520129Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9520389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9520461Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9520683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9520761Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9521014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9521112Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9521365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9521465Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9521742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9521879Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9521883Z 
2025-08-26T21:02:49.9521982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9522168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9522241Z     return mod(*inputs)
2025-08-26T21:02:49.9522509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9522592Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9522838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9522909Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9523123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9523202Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9523455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9523543Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9523797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9523890Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9524183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9524300Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9524304Z 
2025-08-26T21:02:49.9524402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9524593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9524674Z     return mod(*inputs)
2025-08-26T21:02:49.9524923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9525002Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9525375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9525464Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9525679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9525756Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9526008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9526096Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9526351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9526433Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9526436Z 
2025-08-26T21:02:49.9526544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9526733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9526799Z     return mod(*inputs)
2025-08-26T21:02:49.9527058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9527129Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9527382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9527453Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9527659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9527745Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9527993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9528083Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9528086Z 
2025-08-26T21:02:49.9528205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9528397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9528462Z     return mod(*inputs)
2025-08-26T21:02:49.9528712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9528789Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9529031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9529111Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9529318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9529394Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9529648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9529762Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9529765Z 
2025-08-26T21:02:49.9529887Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9530071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9530140Z     return mod(*inputs)
2025-08-26T21:02:49.9530388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9530459Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9530729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9530798Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9531012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9531107Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9531355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9531475Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9531672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9531746Z     return self.act(input)
2025-08-26T21:02:49.9531749Z 
2025-08-26T21:02:49.9531847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9532039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9532102Z     return mod(*inputs)
2025-08-26T21:02:49.9532353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9532440Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9532761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9532856Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9533087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9533169Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9533445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9533530Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9533537Z 
2025-08-26T21:02:49.9533649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9533881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9533945Z     return mod(*inputs)
2025-08-26T21:02:49.9534221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9534293Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9534548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9534618Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9534834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9534913Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9535166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9535263Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9535510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9535631Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9535634Z 
2025-08-26T21:02:49.9535736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9535938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9536010Z     return mod(*inputs)
2025-08-26T21:02:49.9536256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9536332Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9536575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9536671Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9536882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9536973Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9537227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9537317Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9537567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9537719Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9537722Z 
2025-08-26T21:02:49.9537820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9538008Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9538072Z     return mod(*inputs)
2025-08-26T21:02:49.9538328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9538398Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9538651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9538723Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9538931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9539012Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9539259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9539356Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9539603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9539760Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9539766Z 
2025-08-26T21:02:49.9539868Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9539951Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9540037Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9540114Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9540212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9540401Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9540466Z     return mod(*inputs)
2025-08-26T21:02:49.9540726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9540801Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9541052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9541130Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9541347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9541434Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9541706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9541807Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9542058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9542153Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9542458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9542586Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9542590Z 
2025-08-26T21:02:49.9542714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9542899Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9542963Z     return mod(*inputs)
2025-08-26T21:02:49.9543218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9543289Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9543538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9543608Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9543824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9543900Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9544152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9544250Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9544496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9544598Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9544870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9544976Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9544987Z 
2025-08-26T21:02:49.9545086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9545273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9545345Z     return mod(*inputs)
2025-08-26T21:02:49.9545596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9545693Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9545941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9546010Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9546225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9546303Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9546554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9546643Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9546898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9550469Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9550492Z 
2025-08-26T21:02:49.9550616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9550821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9550886Z     return mod(*inputs)
2025-08-26T21:02:49.9551145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9551227Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9551478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9551563Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9551803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9551891Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9552167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9552310Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9552314Z 
2025-08-26T21:02:49.9552421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9552608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9552678Z     return mod(*inputs)
2025-08-26T21:02:49.9552929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9553000Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9553257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9553326Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9553547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9553627Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9553874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9553994Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9554194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9554268Z     return self.act(input)
2025-08-26T21:02:49.9554272Z 
2025-08-26T21:02:49.9554371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9554565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9554630Z     return mod(*inputs)
2025-08-26T21:02:49.9554879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9554962Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9555233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9555311Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9555515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9555591Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9555847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9555927Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9555932Z 
2025-08-26T21:02:49.9556038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9556223Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9556285Z     return mod(*inputs)
2025-08-26T21:02:49.9556605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9556676Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9556927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9556995Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9557205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9557279Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9557520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9557635Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9557882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9558037Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9558040Z 
2025-08-26T21:02:49.9558138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9558322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9558392Z     return mod(*inputs)
2025-08-26T21:02:49.9558641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9558719Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9558963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9559039Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9559246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9559324Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9559576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9559662Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9559914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9560068Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9560071Z 
2025-08-26T21:02:49.9560170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9560362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9560426Z     return mod(*inputs)
2025-08-26T21:02:49.9560681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9560754Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9561022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9561094Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9561301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9561384Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9561627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9561723Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9561969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9562124Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9562154Z 
2025-08-26T21:02:49.9562242Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9562325Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9562411Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9562489Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9562595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9562791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9562858Z     return mod(*inputs)
2025-08-26T21:02:49.9563119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9563206Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9563451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9563528Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9563759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9563844Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9564093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9564187Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9564444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9564538Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9564823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9564955Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9564959Z 
2025-08-26T21:02:49.9565065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9565255Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9565317Z     return mod(*inputs)
2025-08-26T21:02:49.9565578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9565648Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9565906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9565974Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9566191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9566268Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9566513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9566609Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9566880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9566985Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9567253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9567360Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9567370Z 
2025-08-26T21:02:49.9567468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9567655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9567725Z     return mod(*inputs)
2025-08-26T21:02:49.9567986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9568067Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9568311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9568382Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9568595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9568670Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9568921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9569007Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9569271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9569356Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9569376Z 
2025-08-26T21:02:49.9569477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9569667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9569729Z     return mod(*inputs)
2025-08-26T21:02:49.9569981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9570052Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9570293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9570368Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9570576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9570657Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9570902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9570982Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9570986Z 
2025-08-26T21:02:49.9571092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9571274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9571344Z     return mod(*inputs)
2025-08-26T21:02:49.9571590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9571658Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9571909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9571980Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9572192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9572269Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9572540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9572792Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9572798Z 
2025-08-26T21:02:49.9572905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9573104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9573169Z     return mod(*inputs)
2025-08-26T21:02:49.9573431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9573506Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9573761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9573871Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9574084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9574168Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9574422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9574546Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9574754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9574824Z     return self.act(input)
2025-08-26T21:02:49.9574847Z 
2025-08-26T21:02:49.9574958Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9575148Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9575219Z     return mod(*inputs)
2025-08-26T21:02:49.9575501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9575574Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9575836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9575906Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9576130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9576206Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9576470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9576553Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9576557Z 
2025-08-26T21:02:49.9576657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9576858Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9576926Z     return mod(*inputs)
2025-08-26T21:02:49.9577193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9577264Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9577520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9577600Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9577814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9577900Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9578157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9578248Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9578526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9578636Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9578640Z 
2025-08-26T21:02:49.9578746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9578938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9579009Z     return mod(*inputs)
2025-08-26T21:02:49.9579267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9579340Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9579603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9579673Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9579912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9579992Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9580242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9580339Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9580591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9580754Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9580772Z 
2025-08-26T21:02:49.9580874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9581073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9581136Z     return mod(*inputs)
2025-08-26T21:02:49.9581411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9581491Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9581743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9581821Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9582034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9582113Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9582370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9582460Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9582716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9582878Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9582882Z 
2025-08-26T21:02:49.9582970Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9583049Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9583126Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9583210Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9583311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9583507Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9583571Z     return mod(*inputs)
2025-08-26T21:02:49.9583826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9583908Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9584159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9584286Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9584504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9584580Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9584840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9584930Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9585189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9585288Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9585572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9585721Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9585725Z 
2025-08-26T21:02:49.9585830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9586026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9586091Z     return mod(*inputs)
2025-08-26T21:02:49.9586352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9586425Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9586673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9586766Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9586975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9587060Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9587336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9587432Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9587688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9587782Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9588061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9588167Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9588171Z 
2025-08-26T21:02:49.9588279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9588466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9588530Z     return mod(*inputs)
2025-08-26T21:02:49.9588796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9588873Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9589146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9589221Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9589451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9589535Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9589813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9589920Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9590199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9590303Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9590327Z 
2025-08-26T21:02:49.9590444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9590655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9590734Z     return mod(*inputs)
2025-08-26T21:02:49.9591016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9591104Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9591384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9591464Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9591713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9591807Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9592068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9592184Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9592188Z 
2025-08-26T21:02:49.9592304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9592489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9592551Z     return mod(*inputs)
2025-08-26T21:02:49.9592807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9592893Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9593145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9593214Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9593444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9593530Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9593790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9593915Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9594126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9594205Z     return self.act(input)
2025-08-26T21:02:49.9594209Z 
2025-08-26T21:02:49.9594311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9594506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9594580Z     return mod(*inputs)
2025-08-26T21:02:49.9594846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9594929Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9595198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9595268Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9595487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9595566Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9595825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9595907Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9595910Z 
2025-08-26T21:02:49.9596017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9596210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9596277Z     return mod(*inputs)
2025-08-26T21:02:49.9596557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9596630Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9596887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9596960Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9597178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9597264Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9597523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9597623Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9597899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9598015Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9598026Z 
2025-08-26T21:02:49.9598128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9598319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9598393Z     return mod(*inputs)
2025-08-26T21:02:49.9598653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9598732Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9599013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9599087Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9599318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9599417Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9599690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9599783Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9600045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9600216Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9600220Z 
2025-08-26T21:02:49.9600329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9600537Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9600609Z     return mod(*inputs)
2025-08-26T21:02:49.9600901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9600982Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9601265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9601353Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9601595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9601691Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9601976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9602079Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9602373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9602568Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9602586Z 
2025-08-26T21:02:49.9602685Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9602772Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9602864Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9602949Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9603062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9603277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9603347Z     return mod(*inputs)
2025-08-26T21:02:49.9603639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9603721Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9604019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9604109Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9604353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9604450Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9604732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9604833Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9605124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9605251Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9605569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9605719Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9605740Z 
2025-08-26T21:02:49.9605863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9606074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9606150Z     return mod(*inputs)
2025-08-26T21:02:49.9606442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9606690Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9607785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9608013Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9608331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9608449Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9608770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9608915Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9609217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9609339Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9609667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9609796Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9609806Z 
2025-08-26T21:02:49.9609944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9610181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9610266Z     return mod(*inputs)
2025-08-26T21:02:49.9610764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9610861Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9611207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9611295Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9611554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9611645Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9611938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9612055Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9612336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9612512Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9612518Z 
2025-08-26T21:02:49.9612939Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9613192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9613267Z     return mod(*inputs)
2025-08-26T21:02:49.9613562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9613650Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9613925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9614081Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9614316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9614397Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9614700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9614780Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9614784Z 
2025-08-26T21:02:49.9614897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9615091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9615163Z     return mod(*inputs)
2025-08-26T21:02:49.9615425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9615500Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9615763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9615835Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9616090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9616170Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9616429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9616561Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9616565Z 
2025-08-26T21:02:49.9616680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9616879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9616943Z     return mod(*inputs)
2025-08-26T21:02:49.9617209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9617280Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9617535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9617632Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9617848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9617931Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9618183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9618298Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9618511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9618583Z     return self.act(input)
2025-08-26T21:02:49.9618587Z 
2025-08-26T21:02:49.9618696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9618907Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9618974Z     return mod(*inputs)
2025-08-26T21:02:49.9619242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9619315Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9619573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9619644Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9619864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9619940Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9620208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9620296Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9620300Z 
2025-08-26T21:02:49.9620421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9620617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9620681Z     return mod(*inputs)
2025-08-26T21:02:49.9620932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9621010Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9621260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9621337Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9621550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9621637Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9621889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9621985Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9622245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9622359Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9622362Z 
2025-08-26T21:02:49.9622470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9622658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9622723Z     return mod(*inputs)
2025-08-26T21:02:49.9622985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9623059Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9623316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9623389Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9623627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9623706Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9623958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9624057Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9624309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9624478Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9624484Z 
2025-08-26T21:02:49.9624586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9624790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9624866Z     return mod(*inputs)
2025-08-26T21:02:49.9625120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9625199Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9625450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9625529Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9625743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9625822Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9626096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9626185Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9626446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9626630Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9626634Z 
2025-08-26T21:02:49.9626719Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9626808Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9626885Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9626966Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9627069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9627258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9627332Z     return mod(*inputs)
2025-08-26T21:02:49.9627586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9627665Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9627919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9627991Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9628208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9628286Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9628543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9628636Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9628893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9628997Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9629279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9629437Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9629441Z 
2025-08-26T21:02:49.9629543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9629737Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9629801Z     return mod(*inputs)
2025-08-26T21:02:49.9630054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9630132Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9630382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9630462Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9630690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9630786Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9631031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9631117Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9631372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9631466Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9631747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9631873Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9631877Z 
2025-08-26T21:02:49.9631981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9632167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9632248Z     return mod(*inputs)
2025-08-26T21:02:49.9632504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9632575Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9632822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9632891Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9633098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9633179Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9633424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9633516Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9633762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9633841Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9633853Z 
2025-08-26T21:02:49.9633951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9634133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9634202Z     return mod(*inputs)
2025-08-26T21:02:49.9634450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9634527Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9634775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9634844Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9635059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9635149Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9635405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9635522Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9635525Z 
2025-08-26T21:02:49.9635624Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9635817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9635885Z     return mod(*inputs)
2025-08-26T21:02:49.9636143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9636218Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9636509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9636586Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9636800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9636885Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9637135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9637259Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9637469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9637560Z     return self.act(input)
2025-08-26T21:02:49.9637564Z 
2025-08-26T21:02:49.9637675Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9637877Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9637967Z     return mod(*inputs)
2025-08-26T21:02:49.9638230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9638303Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9638564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9638634Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9638856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9638934Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9639206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9639286Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9639289Z 
2025-08-26T21:02:49.9639390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9639590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9639652Z     return mod(*inputs)
2025-08-26T21:02:49.9639910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9639979Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9640228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9640303Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9640515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9640600Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9640855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9640956Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9641230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 315, in forward
2025-08-26T21:02:49.9641345Z     query_states = self.q_proj(hidden_states) * self.scaling
2025-08-26T21:02:49.9641348Z 
2025-08-26T21:02:49.9641456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9641644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9641715Z     return mod(*inputs)
2025-08-26T21:02:49.9641969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9642043Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9642303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9642399Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9642619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9642699Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9642951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9643050Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9643300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-26T21:02:49.9643466Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9643486Z 
2025-08-26T21:02:49.9643588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9643793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9643876Z     return mod(*inputs)
2025-08-26T21:02:49.9644126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9644205Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9644448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9644524Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9644729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9644804Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9645057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9645143Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9645400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 337, in forward
2025-08-26T21:02:49.9645563Z     value_states = self.v_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-26T21:02:49.9645566Z 
2025-08-26T21:02:49.9645651Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9645729Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9645806Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9645888Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9645994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9646193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9646260Z     return mod(*inputs)
2025-08-26T21:02:49.9646521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9646604Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9646881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9646964Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9647185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9647266Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9647540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9647635Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9647912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9648015Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9648339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-26T21:02:49.9648488Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-26T21:02:49.9648492Z 
2025-08-26T21:02:49.9648599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9648817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9648886Z     return mod(*inputs)
2025-08-26T21:02:49.9649167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9649243Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9649512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9649613Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9649839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9649948Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9650217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9650322Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9650589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-26T21:02:49.9650690Z     attn_output, attn_weights = attention_interface(
2025-08-26T21:02:49.9650993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-26T21:02:49.9651111Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-26T21:02:49.9651115Z 
2025-08-26T21:02:49.9651229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9651427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9651499Z     return mod(*inputs)
2025-08-26T21:02:49.9651776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9651854Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9652124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9652199Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9652431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9652514Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9652869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-26T21:02:49.9652984Z     hidden_states, attn_weights = self.self_attn(
2025-08-26T21:02:49.9653276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 365, in forward
2025-08-26T21:02:49.9653402Z     attn_output = self.out_proj(attn_output)
2025-08-26T21:02:49.9653406Z 
2025-08-26T21:02:49.9653523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9653745Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9653826Z     return mod(*inputs)
2025-08-26T21:02:49.9654089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9654172Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9654431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9654515Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9654774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9654857Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9655125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 417, in forward
2025-08-26T21:02:49.9655206Z     hidden_states = residual + hidden_states
2025-08-26T21:02:49.9655209Z 
2025-08-26T21:02:49.9655320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9655515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9655581Z     return mod(*inputs)
2025-08-26T21:02:49.9655850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9655943Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9656213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9656304Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9656523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9656609Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9656867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9656994Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9656998Z 
2025-08-26T21:02:49.9657102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9657304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9657372Z     return mod(*inputs)
2025-08-26T21:02:49.9657633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9657717Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9657979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9658058Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9658278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9658358Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9658623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-26T21:02:49.9658742Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-26T21:02:49.9658962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-26T21:02:49.9659033Z     return self.act(input)
2025-08-26T21:02:49.9659036Z 
2025-08-26T21:02:49.9659146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9659345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9659442Z     return mod(*inputs)
2025-08-26T21:02:49.9659718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-26T21:02:49.9659793Z     encoder_outputs = self.encoder(
2025-08-26T21:02:49.9660059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-26T21:02:49.9660133Z     layer_outputs = encoder_layer(
2025-08-26T21:02:49.9660353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-26T21:02:49.9660443Z     return super().__call__(*args, **kwargs)
2025-08-26T21:02:49.9660705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 423, in forward
2025-08-26T21:02:49.9660813Z     hidden_states = self.fc2(hidden_states)
2025-08-26T21:02:49.9660817Z 
2025-08-26T21:02:49.9660923Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9661124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9661190Z     return mod(*inputs)
2025-08-26T21:02:49.9661451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1612, in forward
2025-08-26T21:02:49.9661552Z     hidden_states = self.projector(hidden_states)
2025-08-26T21:02:49.9661556Z 
2025-08-26T21:02:49.9661637Z cudagraph partition due to non gpu ops
2025-08-26T21:02:49.9661747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9661956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9662022Z     return mod(*inputs)
2025-08-26T21:02:49.9662291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1613, in forward
2025-08-26T21:02:49.9662397Z     pooled_output = hidden_states.mean(dim=1)
2025-08-26T21:02:49.9662400Z 
2025-08-26T21:02:49.9662511Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:02:49.9662704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:02:49.9662769Z     return mod(*inputs)
2025-08-26T21:02:49.9663035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1615, in forward
2025-08-26T21:02:49.9663121Z     logits = self.classifier(pooled_output)
2025-08-26T21:02:49.9663124Z 
2025-08-26T21:03:05.3815508Z Compilation time (from dynamo_timed): 21.712207535
2025-08-26T21:03:05.3815860Z pass
2025-08-26T21:03:05.3816159Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:03:05.3817149Z TIMING: _recursive_pre_grad_passes:0.01085 _recursive_joint_graph_passes:0.56945 _recursive_post_grad_passes:0.12031 async_compile.wait:0.70502 code_gen:9.96449 inductor_compile:12.32307 backend_compile:17.3059 gc:0.00096 entire_frame_compile:21.71221 total_wall_time:21.71221
2025-08-26T21:03:05.3818076Z STATS: call_* op count: 781 | FakeTensorMode.__torch_dispatch__:24617 | FakeTensor.__torch_dispatch__:8496 | ProxyTorchDispatchMode.__torch_dispatch__:9152
2025-08-26T21:03:05.3818644Z Dynamo produced 1 graphs covering 781 ops with 0 graph breaks (0 unique)
2025-08-26T21:03:09.4920570Z 
2025-08-26T21:03:09.6418484Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:03:09.6418962Z loading model: 0it [00:00, ?it/s]
2025-08-26T21:03:09.6425836Z cpu  eval  lennard_jones                      
2025-08-26T21:03:09.6428157Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:03:09.6447022Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:03:09.6453783Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:03:11.6012237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6012941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6013310Z     return mod(*inputs)
2025-08-26T21:03:11.6013439Z 
2025-08-26T21:03:11.6013557Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6013964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6014326Z     return mod(*inputs)
2025-08-26T21:03:11.6014445Z 
2025-08-26T21:03:11.6014559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6015034Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6015371Z     return mod(*inputs)
2025-08-26T21:03:11.6015486Z 
2025-08-26T21:03:11.6015664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6016047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6016375Z     return mod(*inputs)
2025-08-26T21:03:11.6016483Z 
2025-08-26T21:03:11.6016587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6016997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6017334Z     return mod(*inputs)
2025-08-26T21:03:11.6017446Z 
2025-08-26T21:03:11.6017546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6017884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6018248Z     return mod(*inputs)
2025-08-26T21:03:11.6018345Z 
2025-08-26T21:03:11.6018449Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6018788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6019140Z     return mod(*inputs)
2025-08-26T21:03:11.6019246Z 
2025-08-26T21:03:11.6019346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6019690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6019996Z     return mod(*inputs)
2025-08-26T21:03:11.6020093Z 
2025-08-26T21:03:11.6020192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-26T21:03:11.6020533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-26T21:03:11.6020842Z     return mod(*inputs)
2025-08-26T21:03:11.6020940Z 
2025-08-26T21:03:17.2196962Z Compilation time (from dynamo_timed): 6.682006961
2025-08-26T21:03:17.2197319Z pass
2025-08-26T21:03:17.2197639Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-26T21:03:17.2198525Z TIMING: _recursive_pre_grad_passes:0.00381 _recursive_joint_graph_passes:0.31766 _recursive_post_grad_passes:0.01453 async_compile.wait:0.54153 code_gen:5.54641 inductor_compile:5.60023 backend_compile:6.52671 gc:0.00066 entire_frame_compile:6.68201 total_wall_time:6.68201
2025-08-26T21:03:17.2199528Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:102 | FakeTensorMode.__torch_dispatch__:756 | ProxyTorchDispatchMode.__torch_dispatch__:176
2025-08-26T21:03:17.2200066Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-08-26T21:03:18.5262273Z accuracy            pass_rate=91.43%
2025-08-26T21:03:18.5266258Z calls_captured      gmean=0.00x mean=317.029x
2025-08-26T21:03:18.5266532Z unique_graphs       gmean=0.00x mean=2.371x
2025-08-26T21:03:18.5277185Z graph_breaks        gmean=0.00x mean=1.686x
2025-08-26T21:03:18.5277614Z unique_graph_breaks gmean=0.00x mean=0.429x
2025-08-26T21:03:18.5277961Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-26T21:03:18.5283292Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-26T21:03:18.5283631Z cudagraph_skips     gmean=0.00x mean=2.086x
2025-08-26T21:03:18.5289194Z compilation_latency mean=16.273 seconds
2025-08-26T21:03:19.1988348Z + python benchmarks/dynamo/check_accuracy.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv
2025-08-26T21:03:19.4666635Z BERT_pytorch                        PASS
2025-08-26T21:03:19.4671416Z Background_Matting                  XFAIL
2025-08-26T21:03:19.4676220Z LearningToPaint                     PASS
2025-08-26T21:03:19.4680270Z Super_SloMo                         PASS
2025-08-26T21:03:19.4685128Z alexnet                             PASS
2025-08-26T21:03:19.4687165Z basic_gnn_edgecnn                   PASS
2025-08-26T21:03:19.4687576Z basic_gnn_gcn                       PASS
2025-08-26T21:03:19.4693252Z basic_gnn_gin                       PASS
2025-08-26T21:03:19.4693662Z basic_gnn_sage                      PASS
2025-08-26T21:03:19.4694234Z dcgan                               PASS
2025-08-26T21:03:19.4694474Z demucs                              PASS
2025-08-26T21:03:19.4694837Z densenet121                         PASS
2025-08-26T21:03:19.4695034Z dlrm                                PASS
2025-08-26T21:03:19.4700606Z doctr_det_predictor                 PASS
2025-08-26T21:03:19.4708593Z doctr_reco_predictor                PASS
2025-08-26T21:03:19.4715204Z drq                                 PASS
2025-08-26T21:03:19.4719416Z fastNLP_Bert                        PASS
2025-08-26T21:03:19.4724688Z functorch_dp_cifar10                PASS
2025-08-26T21:03:19.4729485Z functorch_maml_omniglot             PASS
2025-08-26T21:03:19.4729915Z hf_Albert                           PASS
2025-08-26T21:03:19.4730606Z hf_Bart                             PASS
2025-08-26T21:03:19.4731364Z hf_Bert                             PASS
2025-08-26T21:03:19.4731782Z hf_Bert_large                       PASS
2025-08-26T21:03:19.4737997Z hf_BigBird                          PASS
2025-08-26T21:03:19.4746392Z hf_DistilBert                       PASS
2025-08-26T21:03:19.4746693Z hf_GPT2                             PASS
2025-08-26T21:03:19.4751360Z hf_GPT2_large                       XFAIL
2025-08-26T21:03:19.4751758Z hf_Longformer                       PASS
2025-08-26T21:03:19.4761532Z hf_Reformer                         PASS
2025-08-26T21:03:19.4764697Z hf_Roberta_base                     PASS
2025-08-26T21:03:19.4764917Z hf_T5                               PASS
2025-08-26T21:03:19.4767825Z hf_T5_base                          PASS
2025-08-26T21:03:19.4771190Z hf_T5_large                         XFAIL
2025-08-26T21:03:19.4771447Z hf_distil_whisper                   PASS
2025-08-26T21:03:19.4779768Z lennard_jones                       PASS
2025-08-26T21:03:19.5289890Z + python benchmarks/dynamo/check_graph_breaks.py --actual /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv --expected benchmarks/dynamo/ci_expected_accuracy/cpu_inductor_torchbench_inference.csv
2025-08-26T21:03:19.8133548Z BERT_pytorch                        PASS
2025-08-26T21:03:19.8140931Z Background_Matting                  PASS
2025-08-26T21:03:19.8147183Z LearningToPaint                     PASS
2025-08-26T21:03:19.8149259Z Super_SloMo                         PASS
2025-08-26T21:03:19.8149616Z alexnet                             PASS
2025-08-26T21:03:19.8154674Z basic_gnn_edgecnn                   PASS
2025-08-26T21:03:19.8160693Z basic_gnn_gcn                       PASS
2025-08-26T21:03:19.8165427Z basic_gnn_gin                       PASS
2025-08-26T21:03:19.8167502Z basic_gnn_sage                      PASS
2025-08-26T21:03:19.8167848Z dcgan                               PASS
2025-08-26T21:03:19.8172832Z demucs                              PASS
2025-08-26T21:03:19.8175084Z densenet121                         PASS
2025-08-26T21:03:19.8175399Z dlrm                                PASS
2025-08-26T21:03:19.8175621Z doctr_det_predictor                 PASS
2025-08-26T21:03:19.8175829Z doctr_reco_predictor                PASS
2025-08-26T21:03:19.8176050Z drq                                 PASS
2025-08-26T21:03:19.8180073Z fastNLP_Bert                        PASS
2025-08-26T21:03:19.8180400Z functorch_dp_cifar10                PASS
2025-08-26T21:03:19.8189062Z functorch_maml_omniglot             PASS
2025-08-26T21:03:19.8194067Z hf_Albert                           PASS
2025-08-26T21:03:19.8198815Z hf_Bart                             PASS
2025-08-26T21:03:19.8203433Z hf_Bert                             PASS
2025-08-26T21:03:19.8207918Z hf_Bert_large                       PASS
2025-08-26T21:03:19.8208480Z hf_BigBird                          PASS
2025-08-26T21:03:19.8208752Z hf_DistilBert                       PASS
2025-08-26T21:03:19.8208969Z hf_GPT2                             PASS
2025-08-26T21:03:19.8209218Z hf_GPT2_large                       PASS
2025-08-26T21:03:19.8209443Z hf_Longformer                       PASS
2025-08-26T21:03:19.8209663Z hf_Reformer                         PASS
2025-08-26T21:03:19.8211428Z hf_Roberta_base                     PASS
2025-08-26T21:03:19.8216442Z hf_T5                               PASS
2025-08-26T21:03:19.8226091Z hf_T5_base                          PASS
2025-08-26T21:03:19.8228851Z hf_T5_large                         PASS
2025-08-26T21:03:19.8229237Z hf_distil_whisper                   PASS
2025-08-26T21:03:19.8229584Z lennard_jones                       PASS
2025-08-26T21:03:19.8759950Z + sccache_epilogue
2025-08-26T21:03:19.8763464Z + echo '::group::Sccache Compilation Log'
2025-08-26T21:03:19.8764148Z ##[group]Sccache Compilation Log
2025-08-26T21:03:19.8764423Z + echo '=================== sccache compilation log ==================='
2025-08-26T21:03:19.8764736Z =================== sccache compilation log ===================
2025-08-26T21:03:19.8765565Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-26T21:03:19.8985780Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-26T21:03:19.8988654Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-26T21:03:19.8989025Z + sccache --show-stats
2025-08-26T21:03:19.9019717Z Compile requests                    517
2025-08-26T21:03:19.9020017Z Compile requests executed             0
2025-08-26T21:03:19.9020251Z Cache hits                            0
2025-08-26T21:03:19.9020460Z Cache misses                          0
2025-08-26T21:03:19.9020685Z Cache hits rate                       -
2025-08-26T21:03:19.9020906Z Cache timeouts                        0
2025-08-26T21:03:19.9021159Z Cache read errors                     0
2025-08-26T21:03:19.9021380Z Forced recaches                       0
2025-08-26T21:03:19.9021608Z Cache write errors                    0
2025-08-26T21:03:19.9021827Z Cache errors                          0
2025-08-26T21:03:19.9022042Z Compilations                          0
2025-08-26T21:03:19.9022260Z Compilation failures                  0
2025-08-26T21:03:19.9022493Z Non-cacheable compilations            0
2025-08-26T21:03:19.9022718Z Non-cacheable calls                  32
2025-08-26T21:03:19.9022943Z Non-compilation calls               485
2025-08-26T21:03:19.9023166Z Unsupported compiler calls            0
2025-08-26T21:03:19.9023391Z Average cache write               0.000 s
2025-08-26T21:03:19.9023627Z Average compiler                  0.000 s
2025-08-26T21:03:19.9023852Z Average cache read hit            0.000 s
2025-08-26T21:03:19.9024081Z Failed distributed compilations       0
2025-08-26T21:03:19.9024230Z 
2025-08-26T21:03:19.9024309Z Non-cacheable reasons:
2025-08-26T21:03:19.9024510Z -E                                   32
2025-08-26T21:03:19.9024658Z 
2025-08-26T21:03:19.9024831Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T21:03:19.9025145Z Version (client)                0.10.0
2025-08-26T21:03:19.9025377Z + sccache --stop-server
2025-08-26T21:03:19.9048658Z Stopping sccache server...
2025-08-26T21:03:19.9053684Z Compile requests                    517
2025-08-26T21:03:19.9059695Z Compile requests executed             0
2025-08-26T21:03:19.9064392Z Cache hits                            0
2025-08-26T21:03:19.9068669Z Cache misses                          0
2025-08-26T21:03:19.9069012Z Cache hits rate                       -
2025-08-26T21:03:19.9069237Z Cache timeouts                        0
2025-08-26T21:03:19.9069453Z Cache read errors                     0
2025-08-26T21:03:19.9069672Z Forced recaches                       0
2025-08-26T21:03:19.9069889Z Cache write errors                    0
2025-08-26T21:03:19.9070100Z Cache errors                          0
2025-08-26T21:03:19.9070319Z Compilations                          0
2025-08-26T21:03:19.9070555Z Compilation failures                  0
2025-08-26T21:03:19.9070780Z Non-cacheable compilations            0
2025-08-26T21:03:19.9070996Z Non-cacheable calls                  32
2025-08-26T21:03:19.9071219Z Non-compilation calls               485
2025-08-26T21:03:19.9071637Z Unsupported compiler calls            0
2025-08-26T21:03:19.9071886Z Average cache write               0.000 s
2025-08-26T21:03:19.9072118Z Average compiler                  0.000 s
2025-08-26T21:03:19.9072348Z Average cache read hit            0.000 s
2025-08-26T21:03:19.9072580Z Failed distributed compilations       0
2025-08-26T21:03:19.9072730Z 
2025-08-26T21:03:19.9072817Z Non-cacheable reasons:
2025-08-26T21:03:19.9073015Z -E                                   32
2025-08-26T21:03:19.9073162Z 
2025-08-26T21:03:19.9073335Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-26T21:03:19.9073651Z Version (client)                0.10.0
2025-08-26T21:03:19.9073987Z + echo ::endgroup::
2025-08-26T21:03:19.9074425Z ##[endgroup]
2025-08-26T21:03:19.9074601Z + cleanup_workspace
2025-08-26T21:03:19.9074930Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-26T21:03:19.9075501Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-26T21:03:19.9075913Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-26T21:03:19.9076277Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-26T21:03:19.9076669Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-26T21:03:19.9077051Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-26T21:03:19.9077379Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-26T21:03:20.3208510Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-26T21:03:20.3208919Z with:
2025-08-26T21:03:20.3209180Z   benchmark-results-dir: test/test-reports
2025-08-26T21:03:20.3209466Z   dry-run: false
2025-08-26T21:03:20.3209680Z   schema-version: v3
2025-08-26T21:03:20.3210127Z   github-token: ***
2025-08-26T21:03:20.3210340Z env:
2025-08-26T21:03:20.3210548Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:20.3210947Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:20.3211364Z ##[endgroup]
2025-08-26T21:03:20.3238796Z ##[group]Run set -eux
2025-08-26T21:03:20.3239001Z set -eux
2025-08-26T21:03:20.3239245Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T21:03:20.3239518Z 
2025-08-26T21:03:20.3239681Z DEVICE_NAME=""
2025-08-26T21:03:20.3239861Z DEVICE_TYPE=""
2025-08-26T21:03:20.3240038Z 
2025-08-26T21:03:20.3240252Z if command -v nvidia-smi; then
2025-08-26T21:03:20.3240544Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-26T21:03:20.3240913Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-26T21:03:20.3241252Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-26T21:03:20.3241535Z   python3 -mpip install torch==2.7.1
2025-08-26T21:03:20.3241780Z elif command -v rocminfo; then
2025-08-26T21:03:20.3242063Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-26T21:03:20.3242412Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-26T21:03:20.3242758Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-26T21:03:20.3256855Z   # GPU device name coming from rocminfo instead
2025-08-26T21:03:20.3257156Z   DEVICE_NAME=rocm
2025-08-26T21:03:20.3257520Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-26T21:03:20.3257867Z fi
2025-08-26T21:03:20.3258047Z 
2025-08-26T21:03:20.3258266Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-26T21:03:20.3258562Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-26T21:03:20.3267529Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:20.3267799Z env:
2025-08-26T21:03:20.3267980Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:20.3268300Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:20.3268604Z ##[endgroup]
2025-08-26T21:03:20.3296234Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-26T21:03:20.5201438Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T21:03:21.2696410Z Collecting boto3==1.35.33
2025-08-26T21:03:21.2854524Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-26T21:03:21.5084674Z Collecting psutil==7.0.0
2025-08-26T21:03:21.5125192Z   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)
2025-08-26T21:03:21.5373265Z Collecting pynvml==12.0.0
2025-08-26T21:03:21.5403440Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-26T21:03:21.5482748Z 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)
2025-08-26T21:03:21.5780998Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-26T21:03:21.5810225Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-26T21:03:22.3767476Z Collecting botocore<1.36.0,>=1.35.33
2025-08-26T21:03:22.3803845Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-26T21:03:22.5059995Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-26T21:03:22.5094046Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-26T21:03:22.5178430Z 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)
2025-08-26T21:03:22.5181082Z 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)
2025-08-26T21:03:22.6160748Z 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)
2025-08-26T21:03:22.7207307Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-26T21:03:23.0862990Z   Attempting uninstall: nvidia-ml-py
2025-08-26T21:03:23.0863333Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-26T21:03:23.0877435Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-26T21:03:23.1006172Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-26T21:03:23.1554742Z   Attempting uninstall: psutil
2025-08-26T21:03:23.1556022Z     Found existing installation: psutil 5.9.8
2025-08-26T21:03:23.1599719Z     Uninstalling psutil-5.9.8:
2025-08-26T21:03:23.1601893Z       Successfully uninstalled psutil-5.9.8
2025-08-26T21:03:23.2958421Z 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
2025-08-26T21:03:23.4085862Z + DEVICE_NAME=
2025-08-26T21:03:23.4086156Z + DEVICE_TYPE=
2025-08-26T21:03:23.4086428Z + command -v nvidia-smi
2025-08-26T21:03:23.4086663Z + command -v rocminfo
2025-08-26T21:03:23.4086871Z + echo DEVICE_NAME=
2025-08-26T21:03:23.4087080Z + echo DEVICE_TYPE=
2025-08-26T21:03:23.4120183Z ##[group]Run set -eux
2025-08-26T21:03:23.4120378Z set -eux
2025-08-26T21:03:23.4120558Z 
2025-08-26T21:03:23.4120752Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-26T21:03:23.4120983Z   echo "Missing github-token input"
2025-08-26T21:03:23.4121190Z   exit 1
2025-08-26T21:03:23.4121359Z fi
2025-08-26T21:03:23.4126118Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:23.4126346Z env:
2025-08-26T21:03:23.4126502Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:23.4126801Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:23.4127104Z   DEVICE_NAME: 
2025-08-26T21:03:23.4127253Z   DEVICE_TYPE: 
2025-08-26T21:03:23.4127600Z   GITHUB_TOKEN: ***
2025-08-26T21:03:23.4127768Z ##[endgroup]
2025-08-26T21:03:23.4154205Z + [[ -z *** ]]
2025-08-26T21:03:23.4195401Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-26T21:03:23.4195669Z with:
2025-08-26T21:03:23.4195949Z   github-token: ***
2025-08-26T21:03:23.4196106Z env:
2025-08-26T21:03:23.4196260Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:23.4196545Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:23.4196894Z   DEVICE_NAME: 
2025-08-26T21:03:23.4197056Z   DEVICE_TYPE: 
2025-08-26T21:03:23.4197224Z ##[endgroup]
2025-08-26T21:03:23.4223281Z ##[group]Run set -eux
2025-08-26T21:03:23.4223553Z set -eux
2025-08-26T21:03:23.4223725Z 
2025-08-26T21:03:23.4224161Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-26T21:03:23.4228874Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:23.4229138Z env:
2025-08-26T21:03:23.4229346Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:23.4229635Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:23.4229922Z   DEVICE_NAME: 
2025-08-26T21:03:23.4230078Z   DEVICE_TYPE: 
2025-08-26T21:03:23.4230355Z   GITHUB_TOKEN: ***
2025-08-26T21:03:23.4230546Z ##[endgroup]
2025-08-26T21:03:23.4253932Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17248463670 i-01396842c8dc9f563
2025-08-26T21:03:24.5486675Z setting job-id=48946862592
2025-08-26T21:03:24.5491341Z setting job-name=linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:03:24.5595082Z ##[group]Run set -eux
2025-08-26T21:03:24.5595282Z set -eux
2025-08-26T21:03:24.5595444Z 
2025-08-26T21:03:24.5595700Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-26T21:03:24.5596023Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-26T21:03:24.5596247Z   --repo "${REPO}" \
2025-08-26T21:03:24.5596452Z   --head-branch "${HEAD_BRANCH}" \
2025-08-26T21:03:24.5596668Z   --head-sha "${HEAD_SHA}" \
2025-08-26T21:03:24.5596879Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-26T21:03:24.5597106Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-26T21:03:24.5597338Z   --job-id "${JOB_ID}" \
2025-08-26T21:03:24.5597531Z   --job-name "${JOB_NAME}"
2025-08-26T21:03:24.5602156Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:24.5602408Z env:
2025-08-26T21:03:24.5602568Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:24.5602876Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:24.5603200Z   DEVICE_NAME: 
2025-08-26T21:03:24.5603365Z   DEVICE_TYPE: 
2025-08-26T21:03:24.5603529Z   SCHEMA_VERSION: v3
2025-08-26T21:03:24.5603704Z   REPO: pytorch/pytorch
2025-08-26T21:03:24.5603891Z   HEAD_BRANCH: refs/heads/main
2025-08-26T21:03:24.5604120Z   HEAD_SHA: 262640fd220236042fbf4443cc163c8838c84c3d
2025-08-26T21:03:24.5604340Z   WORKFLOW_RUN_ID: 17248463670
2025-08-26T21:03:24.5604511Z   RUN_ATTEMPT: 1
2025-08-26T21:03:24.5604673Z   JOB_ID: 48946862592
2025-08-26T21:03:24.5604996Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:03:24.5605334Z ##[endgroup]
2025-08-26T21:03:24.5631816Z + 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 48946862592 --job-name 'linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)'
2025-08-26T21:03:24.5907593Z ##[group]Run set -eux
2025-08-26T21:03:24.5907806Z set -eux
2025-08-26T21:03:24.5907965Z 
2025-08-26T21:03:24.5908215Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-26T21:03:24.5912621Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:24.5912857Z env:
2025-08-26T21:03:24.5913015Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:24.5913315Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:24.5913614Z   DEVICE_NAME: 
2025-08-26T21:03:24.5913785Z   DEVICE_TYPE: 
2025-08-26T21:03:24.5913943Z ##[endgroup]
2025-08-26T21:03:24.5934744Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-26T21:03:24.6254415Z INFO:root:Fail to import torch to get the device name
2025-08-26T21:03:24.6370625Z ##[group]Run set -eux
2025-08-26T21:03:24.6370834Z set -eux
2025-08-26T21:03:24.6371076Z 
2025-08-26T21:03:24.6371254Z # TODO (huydhn): Implement this part
2025-08-26T21:03:24.6371515Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-26T21:03:24.6376599Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:24.6376845Z env:
2025-08-26T21:03:24.6377004Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:24.6377322Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:24.6377644Z   DEVICE_NAME: 
2025-08-26T21:03:24.6377933Z   DEVICE_TYPE: 
2025-08-26T21:03:24.6378101Z ##[endgroup]
2025-08-26T21:03:24.6400452Z + echo 'dependencies={}'
2025-08-26T21:03:24.6432565Z ##[group]Run set -eux
2025-08-26T21:03:24.6432808Z set -eux
2025-08-26T21:03:24.6432971Z 
2025-08-26T21:03:24.6433173Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-26T21:03:24.6433473Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-26T21:03:24.6433798Z   # We don't want the job to fail if the directory doesn't exist
2025-08-26T21:03:24.6434047Z   exit 0
2025-08-26T21:03:24.6434211Z fi
2025-08-26T21:03:24.6434365Z 
2025-08-26T21:03:24.6434539Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-26T21:03:24.6434850Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T21:03:24.6435207Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T21:03:24.6435499Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T21:03:24.6435737Z     --runners "${RUNNER_INFO}" \
2025-08-26T21:03:24.6435975Z     --dependencies "${DEPENDENCIES}" \
2025-08-26T21:03:24.6436196Z     --dry-run
2025-08-26T21:03:24.6436372Z else
2025-08-26T21:03:24.6436627Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-26T21:03:24.6436972Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-26T21:03:24.6437245Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-26T21:03:24.6437477Z     --runners "${RUNNER_INFO}" \
2025-08-26T21:03:24.6437707Z     --dependencies "${DEPENDENCIES}"
2025-08-26T21:03:24.6437922Z fi
2025-08-26T21:03:24.6442211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:24.6442453Z env:
2025-08-26T21:03:24.6442617Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:24.6442948Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:24.6443291Z   DEVICE_NAME: 
2025-08-26T21:03:24.6443458Z   DEVICE_TYPE: 
2025-08-26T21:03:24.6443659Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-26T21:03:24.6443888Z   DRY_RUN: false
2025-08-26T21:03:24.6444756Z   BENCHMARK_METADATA: {"timestamp": 1756242204, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (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": 48946862592}
2025-08-26T21:03:24.6445828Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-55-38.ec2.internal"}, "name": "", "type": ""}]
2025-08-26T21:03:24.6446241Z   DEPENDENCIES: {}
2025-08-26T21:03:24.6446420Z ##[endgroup]
2025-08-26T21:03:24.6470086Z + [[ ! -d test/test-reports ]]
2025-08-26T21:03:24.6473600Z + [[ false == \t\r\u\e ]]
2025-08-26T21:03:24.6475515Z + 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": 1756242204, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (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": 48946862592}' --runners '[{"cpu_info": "x86_64", "cpu_count": 32, "avail_mem_in_gb": 123, "extra_info": {"hostname": "ip-10-0-55-38.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-26T21:03:24.7637433Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17248463670/48946862592/inference_torchbench.json
2025-08-26T21:03:24.7917832Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-08-26T21:03:25.0308626Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-26T21:03:25.0308937Z cat test/**/*_toprint.log || true
2025-08-26T21:03:25.0313721Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:25.0313993Z env:
2025-08-26T21:03:25.0314172Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.0314505Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.0314852Z   DEVICE_NAME: 
2025-08-26T21:03:25.0315034Z   DEVICE_TYPE: 
2025-08-26T21:03:25.0315209Z ##[endgroup]
2025-08-26T21:03:25.0393203Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-26T21:03:25.0431025Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-26T21:03:25.0431306Z kill "$MONITOR_SCRIPT_PID"
2025-08-26T21:03:25.0436006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:25.0436284Z env:
2025-08-26T21:03:25.0436457Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.0436789Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.0437151Z   DEVICE_NAME: 
2025-08-26T21:03:25.0437322Z   DEVICE_TYPE: 
2025-08-26T21:03:25.0437504Z   MONITOR_SCRIPT_PID: 48229
2025-08-26T21:03:25.0437705Z ##[endgroup]
2025-08-26T21:03:25.0546050Z Prepare all required actions
2025-08-26T21:03:25.0546651Z Getting action download info
2025-08-26T21:03:25.2007600Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-26T21:03:25.4302213Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-26T21:03:25.9164297Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-26T21:03:25.9164573Z with:
2025-08-26T21:03:25.9164859Z   file-suffix: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T21:03:25.9165183Z   s3-bucket: gha-artifacts
2025-08-26T21:03:25.9165393Z env:
2025-08-26T21:03:25.9165568Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.9165917Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.9166253Z   DEVICE_NAME: 
2025-08-26T21:03:25.9166430Z   DEVICE_TYPE: 
2025-08-26T21:03:25.9166608Z ##[endgroup]
2025-08-26T21:03:25.9199019Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-26T21:03:25.9199374Z # Remove any previous test jsons if they exist
2025-08-26T21:03:25.9199649Z rm -f test-jsons-*.zip
2025-08-26T21:03:25.9199963Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-26T21:03:25.9205003Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:25.9205277Z env:
2025-08-26T21:03:25.9205451Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.9205793Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.9206146Z   DEVICE_NAME: 
2025-08-26T21:03:25.9206333Z   DEVICE_TYPE: 
2025-08-26T21:03:25.9207066Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T21:03:25.9207388Z ##[endgroup]
2025-08-26T21:03:25.9387904Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-08-26T21:03:25.9422618Z ##[group]Run # Remove any previous test reports if they exist
2025-08-26T21:03:25.9422940Z # Remove any previous test reports if they exist
2025-08-26T21:03:25.9423257Z rm -f test-reports-*.zip
2025-08-26T21:03:25.9423563Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-26T21:03:25.9428162Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:25.9428404Z env:
2025-08-26T21:03:25.9428565Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.9428863Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.9429168Z   DEVICE_NAME: 
2025-08-26T21:03:25.9429330Z   DEVICE_TYPE: 
2025-08-26T21:03:25.9429580Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T21:03:25.9429858Z ##[endgroup]
2025-08-26T21:03:25.9496393Z   adding: test/test-reports/inference_torchbench.csv (deflated 60%)
2025-08-26T21:03:25.9502378Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%)
2025-08-26T21:03:25.9502846Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%)
2025-08-26T21:03:25.9536025Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-26T21:03:25.9536343Z # Remove any previous usage logs if they exist
2025-08-26T21:03:25.9536587Z rm -f logs-*.zip
2025-08-26T21:03:25.9536839Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-26T21:03:25.9537168Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-26T21:03:25.9541505Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:25.9541763Z env:
2025-08-26T21:03:25.9541929Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.9542239Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.9542567Z   DEVICE_NAME: 
2025-08-26T21:03:25.9542741Z   DEVICE_TYPE: 
2025-08-26T21:03:25.9543140Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T21:03:25.9543438Z ##[endgroup]
2025-08-26T21:03:25.9618862Z   adding: usage_log.txt (deflated 97%)
2025-08-26T21:03:25.9631006Z 
2025-08-26T21:03:25.9636682Z zip error: Nothing to do! (logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip)
2025-08-26T21:03:25.9664153Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-26T21:03:25.9664502Z # Remove any previous debugging artifacts if they exist
2025-08-26T21:03:25.9664781Z rm -f debug-*.zip
2025-08-26T21:03:25.9664999Z if [ -d 'test/debug' ]; then
2025-08-26T21:03:25.9665257Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-26T21:03:25.9665499Z fi
2025-08-26T21:03:25.9669899Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:25.9670150Z env:
2025-08-26T21:03:25.9670305Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.9670625Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.9670947Z   DEVICE_NAME: 
2025-08-26T21:03:25.9671112Z   DEVICE_TYPE: 
2025-08-26T21:03:25.9671364Z   FILE_SUFFIX: test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592
2025-08-26T21:03:25.9671651Z ##[endgroup]
2025-08-26T21:03:25.9745764Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:03:25.9746009Z with:
2025-08-26T21:03:25.9746197Z   s3-bucket: gha-artifacts
2025-08-26T21:03:25.9746449Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:03:25.9746708Z   retention-days: 14
2025-08-26T21:03:25.9746903Z   if-no-files-found: warn
2025-08-26T21:03:25.9747115Z   path: test-jsons-*.zip
2025-08-26T21:03:25.9747322Z   name: artifact
2025-08-26T21:03:25.9747500Z   region: us-east-1
2025-08-26T21:03:25.9747665Z env:
2025-08-26T21:03:25.9747843Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:25.9748229Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:25.9748562Z   DEVICE_NAME: 
2025-08-26T21:03:25.9748720Z   DEVICE_TYPE: 
2025-08-26T21:03:25.9748886Z ##[endgroup]
2025-08-26T21:03:26.2679637Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T21:03:26.2680026Z With the provided path, there will be 1 file uploaded
2025-08-26T21:03:26.2680462Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T21:03:26.2712955Z Starting upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:26.3781955Z Finished upload of test-jsons-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:26.3956481Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:03:26.3956709Z with:
2025-08-26T21:03:26.3956873Z   s3-bucket: gha-artifacts
2025-08-26T21:03:26.3957095Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:03:26.3957330Z   retention-days: 14
2025-08-26T21:03:26.3957496Z   if-no-files-found: error
2025-08-26T21:03:26.3957683Z   path: test-reports-*.zip
2025-08-26T21:03:26.3957970Z   name: artifact
2025-08-26T21:03:26.3958180Z   region: us-east-1
2025-08-26T21:03:26.3958334Z env:
2025-08-26T21:03:26.3958499Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:26.3958796Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:26.3959101Z   DEVICE_NAME: 
2025-08-26T21:03:26.3959250Z   DEVICE_TYPE: 
2025-08-26T21:03:26.3959408Z ##[endgroup]
2025-08-26T21:03:26.6421918Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T21:03:26.6423971Z With the provided path, there will be 1 file uploaded
2025-08-26T21:03:26.6424407Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T21:03:26.6449659Z Starting upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:26.7526668Z Finished upload of test-reports-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:26.7754981Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:03:26.7755345Z with:
2025-08-26T21:03:26.7755511Z   s3-bucket: gha-artifacts
2025-08-26T21:03:26.7755731Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:03:26.7755960Z   retention-days: 14
2025-08-26T21:03:26.7756124Z   if-no-files-found: ignore
2025-08-26T21:03:26.7756309Z   path: logs-*.zip
2025-08-26T21:03:26.7756469Z   name: artifact
2025-08-26T21:03:26.7756626Z   region: us-east-1
2025-08-26T21:03:26.7756774Z env:
2025-08-26T21:03:26.7756922Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:26.7757210Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:26.7757508Z   DEVICE_NAME: 
2025-08-26T21:03:26.7757654Z   DEVICE_TYPE: 
2025-08-26T21:03:26.7757803Z ##[endgroup]
2025-08-26T21:03:27.0242988Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-26T21:03:27.0247308Z With the provided path, there will be 1 file uploaded
2025-08-26T21:03:27.0249146Z Uploading to s3 prefix: pytorch/pytorch/17248463670/1/artifact
2025-08-26T21:03:27.0273744Z Starting upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:27.1352281Z Finished upload of logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:27.1524421Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-26T21:03:27.1524647Z with:
2025-08-26T21:03:27.1524818Z   s3-bucket: gha-artifacts
2025-08-26T21:03:27.1525044Z   s3-prefix: pytorch/pytorch/17248463670/1/artifact

2025-08-26T21:03:27.1525273Z   retention-days: 14
2025-08-26T21:03:27.1525441Z   if-no-files-found: ignore
2025-08-26T21:03:27.1525653Z   path: debug-*.zip
2025-08-26T21:03:27.1525813Z   name: artifact
2025-08-26T21:03:27.1525971Z   region: us-east-1
2025-08-26T21:03:27.1526118Z env:
2025-08-26T21:03:27.1526271Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:27.1526570Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:27.1526954Z   DEVICE_NAME: 
2025-08-26T21:03:27.1527104Z   DEVICE_TYPE: 
2025-08-26T21:03:27.1527278Z ##[endgroup]
2025-08-26T21:03:27.4287705Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-26T21:03:27.4481722Z ##[group]Run # shellcheck disable=SC2156
2025-08-26T21:03:27.4482012Z # shellcheck disable=SC2156
2025-08-26T21:03:27.4482368Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-26T21:03:27.4487829Z shell: /usr/bin/bash -e {0}
2025-08-26T21:03:27.4488025Z env:
2025-08-26T21:03:27.4488189Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:27.4488492Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:27.4488817Z   DEVICE_NAME: 
2025-08-26T21:03:27.4488985Z   DEVICE_TYPE: 
2025-08-26T21:03:27.4489146Z ##[endgroup]
2025-08-26T21:03:27.6192892Z Prepare all required actions
2025-08-26T21:03:27.6193245Z Getting action download info
2025-08-26T21:03:27.7239327Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-26T21:03:27.7239580Z with:
2025-08-26T21:03:27.7239743Z   job_id: 48946862592
2025-08-26T21:03:27.7240078Z   job_name: linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:03:27.7240418Z   workflow_name: inductor
2025-08-26T21:03:27.7240594Z   workflow_run_id: 17248463670
2025-08-26T21:03:27.7240778Z   workflow_attempt: 1
2025-08-26T21:03:27.7240941Z env:
2025-08-26T21:03:27.7241085Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:27.7241384Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:27.7241689Z   DEVICE_NAME: 
2025-08-26T21:03:27.7241847Z   DEVICE_TYPE: 
2025-08-26T21:03:27.7241998Z ##[endgroup]
2025-08-26T21:03:27.7263890Z ##[group]Run echo "workflow_id: 17248463670"
2025-08-26T21:03:27.7264195Z echo "workflow_id: 17248463670"
2025-08-26T21:03:27.7264432Z echo "workflow_attempt: 1"
2025-08-26T21:03:27.7264645Z echo "workflow_Name: inductor"
2025-08-26T21:03:27.7264978Z echo "job_id: 48946862592"
2025-08-26T21:03:27.7265373Z echo "job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)"
2025-08-26T21:03:27.7265775Z echo "artifact_prefix: "
2025-08-26T21:03:27.7265987Z python3 --version
2025-08-26T21:03:27.7270545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:27.7270800Z env:
2025-08-26T21:03:27.7270966Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:27.7271278Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:27.7271579Z   DEVICE_NAME: 
2025-08-26T21:03:27.7271736Z   DEVICE_TYPE: 
2025-08-26T21:03:27.7271888Z ##[endgroup]
2025-08-26T21:03:27.7292548Z workflow_id: 17248463670
2025-08-26T21:03:27.7292981Z workflow_attempt: 1
2025-08-26T21:03:27.7293190Z workflow_Name: inductor
2025-08-26T21:03:27.7293386Z job_id: 48946862592
2025-08-26T21:03:27.7293781Z job_name:  linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)
2025-08-26T21:03:27.7294195Z artifact_prefix: 
2025-08-26T21:03:27.7304957Z Python 3.9.23
2025-08-26T21:03:27.7373657Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-26T21:03:27.7373905Z with:
2025-08-26T21:03:27.7374077Z   shell: bash
2025-08-26T21:03:27.7374250Z   timeout_minutes: 5
2025-08-26T21:03:27.7374438Z   max_attempts: 5
2025-08-26T21:03:27.7374623Z   retry_wait_seconds: 30
2025-08-26T21:03:27.7375013Z   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

2025-08-26T21:03:27.7375397Z   polling_interval_seconds: 1
2025-08-26T21:03:27.7375604Z   warning_on_retry: true
2025-08-26T21:03:27.7375800Z   continue_on_error: false
2025-08-26T21:03:27.7375996Z env:
2025-08-26T21:03:27.7376169Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:27.7376577Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:27.7376928Z   DEVICE_NAME: 
2025-08-26T21:03:27.7377094Z   DEVICE_TYPE: 
2025-08-26T21:03:27.7377249Z ##[endgroup]
2025-08-26T21:03:27.9991977Z Defaulting to user installation because normal site-packages is not writeable
2025-08-26T21:03:28.0603754Z Collecting python-dateutil==2.8.2
2025-08-26T21:03:28.0753951Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-26T21:03:28.7710097Z Collecting boto3==1.35.42
2025-08-26T21:03:28.7755758Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-26T21:03:29.1426677Z Collecting pandas==2.1.3
2025-08-26T21:03:29.1473274Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-26T21:03:29.2411793Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-26T21:03:29.2429237Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-26T21:03:29.2461074Z 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)
2025-08-26T21:03:29.2461933Z 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)
2025-08-26T21:03:29.2467478Z 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)
2025-08-26T21:03:29.3138995Z Collecting tzdata>=2022.1
2025-08-26T21:03:29.3175459Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-26T21:03:29.3260177Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-26T21:03:29.8898053Z Collecting numpy<2,>=1.22.4
2025-08-26T21:03:29.8935186Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-26T21:03:29.9981706Z 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)
2025-08-26T21:03:29.9987347Z 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)
2025-08-26T21:03:30.0031558Z 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)
2025-08-26T21:03:30.0115934Z 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)
2025-08-26T21:03:30.0190200Z 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)
2025-08-26T21:03:30.0191882Z 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)
2025-08-26T21:03:30.1751026Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-26T21:03:34.1214719Z   Attempting uninstall: boto3
2025-08-26T21:03:34.1216912Z     Found existing installation: boto3 1.35.33
2025-08-26T21:03:34.1277838Z     Uninstalling boto3-1.35.33:
2025-08-26T21:03:34.1286953Z       Successfully uninstalled boto3-1.35.33
2025-08-26T21:03:34.1692417Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-26T21:03:34.8081722Z Command completed after 1 attempt(s).
2025-08-26T21:03:34.8144199Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T21:03:34.8144675Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-26T21:03:34.8145032Z   --workflow-run-id "17248463670" \
2025-08-26T21:03:34.8145388Z   --workflow-name "inductor" \
2025-08-26T21:03:34.8145634Z   --workflow-run-attempt "1" \
2025-08-26T21:03:34.8145866Z   --job-id "48946862592" \
2025-08-26T21:03:34.8146281Z   --job-name "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)" \
2025-08-26T21:03:34.8146750Z   --local-path "" \
2025-08-26T21:03:34.8146977Z   --artifact-prefix ""
2025-08-26T21:03:34.8152479Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:34.8152745Z env:
2025-08-26T21:03:34.8152915Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:34.8153258Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:34.8153579Z   DEVICE_NAME: 
2025-08-26T21:03:34.8153745Z   DEVICE_TYPE: 
2025-08-26T21:03:34.8153911Z ##[endgroup]
2025-08-26T21:03:35.7628498Z repo: pytorch/pytorch
2025-08-26T21:03:35.7630811Z Search for test log in s3 bucket: ossci-utilization
2025-08-26T21:03:35.7631318Z Downloading logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:35.7631842Z extracting usage_log.txt from zip file logs-test-cpu_inductor_torchbench-1-2-linux.8xlarge.amx_48946862592.zip
2025-08-26T21:03:35.7632276Z Converted Log Model: UtilizationMetadata:
2025-08-26T21:03:35.7633219Z  UtilizationMetadata(level='metadata', workflow_id='17248463670', job_id='48946862592', workflow_name='inductor', job_name='linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1756239559, gpu_count=0, cpu_count=32, gpu_type=None, error=None)
2025-08-26T21:03:35.7634139Z [Db Segments] detected pytest cmd: 10, generated segments: 10
2025-08-26T21:03:35.7634404Z [db model] Peek db timeseries 
2025-08-26T21:03:35.7634598Z :{
2025-08-26T21:03:35.7634755Z     "created_at": 1756242215,
2025-08-26T21:03:35.7634956Z     "type": "utilization",
2025-08-26T21:03:35.7635145Z     "tags": [
2025-08-26T21:03:35.7635312Z         "record"
2025-08-26T21:03:35.7635483Z     ],
2025-08-26T21:03:35.7635654Z     "time_stamp": 1756239559,
2025-08-26T21:03:35.7635853Z     "repo": "pytorch/pytorch",
2025-08-26T21:03:35.7636062Z     "workflow_id": 17248463670,
2025-08-26T21:03:35.7636270Z     "run_attempt": 1,
2025-08-26T21:03:35.7636452Z     "job_id": 48946862592,
2025-08-26T21:03:35.7636658Z     "workflow_name": "inductor",
2025-08-26T21:03:35.7637039Z     "job_name": "linux-jammy-cpu-py3.9-gcc11-inductor / test (cpu_inductor_torchbench, 1, 2, linux.8xlarge.amx)",
2025-08-26T21:03:35.7637418Z     "json_data": "{}"
2025-08-26T21:03:35.7637597Z }
2025-08-26T21:03:35.7637930Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862592/metadata
2025-08-26T21:03:35.7638534Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17248463670/1/48946862592/metadata 
2025-08-26T21:03:35.7639144Z Writing 523 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862592/time_series
2025-08-26T21:03:35.7639766Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17248463670/1/48946862592/time_series 
2025-08-26T21:03:35.8767531Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-26T21:03:35.8767806Z with:
2025-08-26T21:03:35.8767956Z env:
2025-08-26T21:03:35.8768104Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:35.8768410Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:35.8768721Z   DEVICE_NAME: 
2025-08-26T21:03:35.8768882Z   DEVICE_TYPE: 
2025-08-26T21:03:35.8769028Z ##[endgroup]
2025-08-26T21:03:35.8787949Z ##[group]Run set -eou pipefail
2025-08-26T21:03:35.8788189Z set -eou pipefail
2025-08-26T21:03:35.8788380Z 
2025-08-26T21:03:35.8788638Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-26T21:03:35.8789012Z for _ in $(seq 1440); do
2025-08-26T21:03:35.8789256Z     # Break if no ssh session exists anymore
2025-08-26T21:03:35.8789497Z     if [ "$(who)" = "" ]; then
2025-08-26T21:03:35.8789708Z       break
2025-08-26T21:03:35.8789970Z     fi
2025-08-26T21:03:35.8790138Z     echo "."
2025-08-26T21:03:35.8790305Z     sleep 5
2025-08-26T21:03:35.8790475Z done
2025-08-26T21:03:35.8795061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:35.8795300Z env:
2025-08-26T21:03:35.8795446Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:35.8795734Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:35.8796041Z   DEVICE_NAME: 
2025-08-26T21:03:35.8796199Z   DEVICE_TYPE: 
2025-08-26T21:03:35.8796350Z ##[endgroup]
2025-08-26T21:03:35.8820267Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-26T21:03:35.8916389Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T21:03:35.8916932Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-26T21:03:35.8917196Z # shellcheck disable=SC2046
2025-08-26T21:03:35.8917429Z docker stop $(docker ps -q) || true
2025-08-26T21:03:35.8917649Z # Prune all of the docker images
2025-08-26T21:03:35.8917860Z docker system prune -af
2025-08-26T21:03:35.8921928Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:35.8922162Z env:
2025-08-26T21:03:35.8922310Z   GIT_DEFAULT_BRANCH: main
2025-08-26T21:03:35.8922603Z   DOCKER_CONTAINER_ID: b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:35.8922906Z   DEVICE_NAME: 
2025-08-26T21:03:35.8923065Z   DEVICE_TYPE: 
2025-08-26T21:03:35.8923214Z ##[endgroup]
2025-08-26T21:03:46.8091699Z b6d63d0faf79
2025-08-26T21:03:47.1640203Z Deleted Containers:
2025-08-26T21:03:47.1643781Z b6d63d0faf79c4a23a24187abdb4e818b0163b373d401eccc67fd312b7231a99
2025-08-26T21:03:47.1645359Z 
2025-08-26T21:03:54.1992432Z Deleted Images:
2025-08-26T21:03:54.1996564Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-16b1c8d10f4f7ec1a604612d52021e8c98b48fe6
2025-08-26T21:03:54.2001624Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:acbbd4ce4ca5911beba428e48e3c25069f341e6f142804bf943d333ccc654c8c
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2025-08-26T21:03:54.2059197Z Total reclaimed space: 53.95GB
2025-08-26T21:03:54.2112095Z Post job cleanup.
2025-08-26T21:03:54.2155199Z Post job cleanup.
2025-08-26T21:03:54.2892107Z [command]/usr/bin/git version
2025-08-26T21:03:54.2929444Z git version 2.47.1
2025-08-26T21:03:54.2959271Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/5d459027-dd89-47b5-af32-72cf4f69ec2c/.gitconfig'
2025-08-26T21:03:54.2978980Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/5d459027-dd89-47b5-af32-72cf4f69ec2c' before making global git config changes
2025-08-26T21:03:54.2979692Z Adding repository directory to the temporary git global config as a safe directory
2025-08-26T21:03:54.2984166Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-26T21:03:54.3035808Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-26T21:03:54.3074176Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
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2025-08-26T21:03:54.6588677Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-26T21:03:54.6644007Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-26T21:03:54.6696149Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
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2025-08-26T21:03:54.7055952Z Entering 'third_party/protobuf/third_party/benchmark'
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2025-08-26T21:03:54.7281229Z Entering 'third_party/pybind11'
2025-08-26T21:03:54.7334011Z Entering 'third_party/python-peachpy'
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2025-08-26T21:03:54.7440459Z Entering 'third_party/tensorpipe'
2025-08-26T21:03:54.7492538Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-08-26T21:03:54.7597878Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-26T21:03:54.7656310Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-26T21:03:54.7705294Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-26T21:03:54.7791863Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-26T21:03:54.7814002Z http.https://github.com/.extraheader
2025-08-26T21:03:54.7829839Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-26T21:03:54.7856868Z [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' || :"
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2025-08-26T21:03:55.3821028Z http.https://github.com/.extraheader
2025-08-26T21:03:55.3957606Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-26T21:03:55.3983383Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-26T21:03:55.3986626Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-26T21:03:55.3986867Z ##[endgroup]
2025-08-26T21:03:55.4071191Z [!ALERT!] Swap in detected! [!ALERT!]
2025-08-26T21:04:04.2130638Z [!ALERT!] Swap out detected [!ALERT!]
2025-08-26T21:04:19.0214237Z Cleaning up orphan processes