2025-08-14T21:21:17.0877494Z Current runner version: '2.328.0'
2025-08-14T21:21:17.0884603Z Runner name: 'i-0332fb71a7b8c21e0'
2025-08-14T21:21:17.0885513Z Runner group name: 'default'
2025-08-14T21:21:17.0886687Z Machine name: 'ip-10-0-31-67'
2025-08-14T21:21:17.0889832Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T21:21:17.0892618Z Contents: read
2025-08-14T21:21:17.0893516Z Metadata: read
2025-08-14T21:21:17.0894087Z ##[endgroup]
2025-08-14T21:21:17.0896576Z Secret source: Actions
2025-08-14T21:21:17.0897483Z Prepare workflow directory
2025-08-14T21:21:17.1514991Z Prepare all required actions
2025-08-14T21:21:17.1559481Z Getting action download info
2025-08-14T21:21:17.4630659Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84)
2025-08-14T21:21:19.8917528Z Download action repository 'pytorch/pytorch@main' (SHA:3be70dc30e893b552fc0f23ca06cd8f7949b6d08)
2025-08-14T21:21:36.3993135Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-08-14T21:21:36.7802370Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-08-14T21:21:37.0798526Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-08-14T21:21:37.2898488Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T21:21:37.6125729Z Getting action download info
2025-08-14T21:21:37.7573777Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T21:21:38.0677046Z Getting action download info
2025-08-14T21:21:38.1878902Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T21:21:38.4224864Z Getting action download info
2025-08-14T21:21:38.5291145Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-08-14T21:21:38.7651325Z Getting action download info
2025-08-14T21:21:38.9805883Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T21:21:38.9811378Z ##[group] Inputs
2025-08-14T21:21:38.9811825Z   build-environment: linux-jammy-py3.9-gcc11-build
2025-08-14T21:21:38.9816524Z   test-matrix: {"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}
2025-08-14T21:21:38.9821958Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:21:38.9823153Z   sync-tag: 
2025-08-14T21:21:38.9824836Z   timeout-minutes: 240
2025-08-14T21:21:38.9825158Z   use-gha: 
2025-08-14T21:21:38.9825683Z   dashboard-tag: 
2025-08-14T21:21:38.9826808Z   s3-bucket: gha-artifacts
2025-08-14T21:21:38.9827138Z   aws-role-to-assume: 
2025-08-14T21:21:38.9828011Z   disable-monitor: false
2025-08-14T21:21:38.9828401Z   monitor-log-interval: 5
2025-08-14T21:21:38.9828779Z   monitor-data-collect-interval: 1
2025-08-14T21:21:38.9829179Z ##[endgroup]
2025-08-14T21:21:38.9830020Z Complete job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:21:39.0590582Z A job started hook has been configured by the self-hosted runner administrator
2025-08-14T21:21:39.0715919Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-08-14T21:21:39.0725308Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:21:39.0726007Z ##[endgroup]
2025-08-14T21:21:40.5614430Z Runner Type: linux.10xlarge.avx2
2025-08-14T21:21:40.5615031Z Instance Type: m4.10xlarge
2025-08-14T21:21:40.5615451Z AMI Name: unknown
2025-08-14T21:21:40.5657870Z AMI ID: ami-05ffe3c48a9991133
2025-08-14T21:21:46.7967097Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-08-14T21:21:46.7967588Z with:
2025-08-14T21:21:46.7968193Z   github-secret: ***
2025-08-14T21:21:46.7968951Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-08-14T21:21:46.7969792Z   activate-with-label: false
2025-08-14T21:21:46.7970102Z   label: with-ssh
2025-08-14T21:21:46.7970375Z   remove-existing-keys: true
2025-08-14T21:21:46.7970670Z   fail-silently: true
2025-08-14T21:21:46.7970945Z env:
2025-08-14T21:21:46.7971183Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:21:46.7971468Z ##[endgroup]
2025-08-14T21:21:46.9668711Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-08-14T21:21:46.9675538Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-08-14T21:21:46.9960941Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T21:21:46.9961468Z with:
2025-08-14T21:21:46.9961729Z   no-sudo: true
2025-08-14T21:21:46.9961999Z   submodules: recursive
2025-08-14T21:21:46.9962315Z   fetch-depth: 0
2025-08-14T21:21:46.9962585Z env:
2025-08-14T21:21:46.9962841Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:21:46.9963151Z ##[endgroup]
2025-08-14T21:21:47.0082341Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:21:47.0083467Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:21:47.0092818Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:21:47.0093274Z env:
2025-08-14T21:21:47.0093561Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:21:47.0093917Z ##[endgroup]
2025-08-14T21:21:47.0202873Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T21:21:47.0203409Z # Use all available CPUs for fetching
2025-08-14T21:21:47.0203809Z cd "${GITHUB_WORKSPACE}"
2025-08-14T21:21:47.0204213Z git config --global fetch.parallel 0
2025-08-14T21:21:47.0204674Z git config --global submodule.fetchJobs 0
2025-08-14T21:21:47.0205085Z 
2025-08-14T21:21:47.0205501Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T21:21:47.0206063Z # do it here as well just in case
2025-08-14T21:21:47.0206449Z if [[ -d .git ]]; then
2025-08-14T21:21:47.0206789Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T21:21:47.0207168Z     sudo git clean -ffdx
2025-08-14T21:21:47.0207509Z   else
2025-08-14T21:21:47.0207785Z     git clean -ffdx
2025-08-14T21:21:47.0208106Z   fi
2025-08-14T21:21:47.0208368Z fi
2025-08-14T21:21:47.0214399Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:21:47.0215006Z env:
2025-08-14T21:21:47.0215334Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:21:47.0215651Z   NO_SUDO: true
2025-08-14T21:21:47.0215893Z ##[endgroup]
2025-08-14T21:21:47.0367235Z ##[group]Run actions/checkout@v4
2025-08-14T21:21:47.0367578Z with:
2025-08-14T21:21:47.0367869Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:21:47.0368256Z   fetch-depth: 0
2025-08-14T21:21:47.0368530Z   submodules: recursive
2025-08-14T21:21:47.0368845Z   show-progress: false
2025-08-14T21:21:47.0369163Z   repository: pytorch/pytorch
2025-08-14T21:21:47.0369666Z   token: ***
2025-08-14T21:21:47.0369917Z   ssh-strict: true
2025-08-14T21:21:47.0370193Z   ssh-user: git
2025-08-14T21:21:47.0370479Z   persist-credentials: true
2025-08-14T21:21:47.0370783Z   clean: true
2025-08-14T21:21:47.0371084Z   sparse-checkout-cone-mode: true
2025-08-14T21:21:47.0371438Z   fetch-tags: false
2025-08-14T21:21:47.0371698Z   lfs: false
2025-08-14T21:21:47.0371969Z   set-safe-directory: true
2025-08-14T21:21:47.0372294Z env:
2025-08-14T21:21:47.0372536Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:21:47.0372841Z ##[endgroup]
2025-08-14T21:21:47.1804354Z Syncing repository: pytorch/pytorch
2025-08-14T21:21:47.1805872Z ##[group]Getting Git version info
2025-08-14T21:21:47.1806451Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:21:47.1807229Z [command]/usr/bin/git version
2025-08-14T21:21:47.2029811Z git version 2.47.1
2025-08-14T21:21:47.2062764Z ##[endgroup]
2025-08-14T21:21:47.2075291Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/6988de7b-b762-44d9-9df1-b46b66a4ce89/.gitconfig'
2025-08-14T21:21:47.2094776Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/6988de7b-b762-44d9-9df1-b46b66a4ce89' before making global git config changes
2025-08-14T21:21:47.2095935Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T21:21:47.2099824Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:21:47.2153113Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-08-14T21:21:47.2157752Z ##[group]Initializing the repository
2025-08-14T21:21:47.2162583Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:21:47.2228780Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-08-14T21:21:47.2229572Z hint: is subject to change. To configure the initial branch name to use in all
2025-08-14T21:21:47.2235062Z hint: of your new repositories, which will suppress this warning, call:
2025-08-14T21:21:47.2235692Z hint:
2025-08-14T21:21:47.2236076Z hint: 	git config --global init.defaultBranch <name>
2025-08-14T21:21:47.2236479Z hint:
2025-08-14T21:21:47.2236877Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-08-14T21:21:47.2237569Z hint: 'development'. The just-created branch can be renamed via this command:
2025-08-14T21:21:47.2238101Z hint:
2025-08-14T21:21:47.2238356Z hint: 	git branch -m <name>
2025-08-14T21:21:47.2252878Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-08-14T21:21:47.2262408Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-08-14T21:21:47.2305199Z ##[endgroup]
2025-08-14T21:21:47.2305743Z ##[group]Disabling automatic garbage collection
2025-08-14T21:21:47.2309521Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T21:21:47.2338029Z ##[endgroup]
2025-08-14T21:21:47.2338488Z ##[group]Setting up auth
2025-08-14T21:21:47.2346673Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T21:21:47.2376918Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-08-14T21:21:47.2782683Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T21:21:47.2820565Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-08-14T21:21:47.3193969Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:21:47.3250314Z ##[endgroup]
2025-08-14T21:21:47.3250866Z ##[group]Fetching the repository
2025-08-14T21:21:47.3260505Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-08-14T21:22:33.4236325Z From https://github.com/pytorch/pytorch
2025-08-14T21:22:33.4237020Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-08-14T21:22:33.4237635Z  * [new branch]              5addvllmbuild               -> origin/5addvllmbuild
2025-08-14T21:22:33.4238409Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-08-14T21:22:33.4239207Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-08-14T21:22:33.4240076Z  * [new branch]              JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops
2025-08-14T21:22:33.4240897Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-08-14T21:22:33.4241907Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-08-14T21:22:33.4242897Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-08-14T21:22:33.4244027Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-08-14T21:22:33.4245221Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-08-14T21:22:33.4246985Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-08-14T21:22:33.4247869Z  * [new branch]              add-missing-args-normalization -> origin/add-missing-args-normalization
2025-08-14T21:22:33.4249077Z  * [new branch]              add-user-guide-structure    -> origin/add-user-guide-structure
2025-08-14T21:22:33.4250269Z  * [new branch]              addVllmPin                  -> origin/addVllmPin
2025-08-14T21:22:33.4251908Z  * [new branch]              add_windows_testing_back    -> origin/add_windows_testing_back
2025-08-14T21:22:33.4253015Z  * [new branch]              addbuildvllm                -> origin/addbuildvllm
2025-08-14T21:22:33.4255796Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-08-14T21:22:33.4256807Z  * [new branch]              addsimde                    -> origin/addsimde
2025-08-14T21:22:33.4258149Z  * [new branch]              addvllpinnedfile            -> origin/addvllpinnedfile
2025-08-14T21:22:33.4259873Z  * [new branch]              adi/acl_upgrade             -> origin/adi/acl_upgrade
2025-08-14T21:22:33.4260964Z  * [new branch]              adi/skip_slow_tests         -> origin/adi/skip_slow_tests
2025-08-14T21:22:33.4262156Z  * [new branch]              adi/test                    -> origin/adi/test
2025-08-14T21:22:33.4263759Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-08-14T21:22:33.4264935Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-08-14T21:22:33.4266102Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-08-14T21:22:33.4267308Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-08-14T21:22:33.4268470Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-08-14T21:22:33.4270107Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-08-14T21:22:33.4272606Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-08-14T21:22:33.4273922Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-08-14T21:22:33.4274908Z  * [new branch]              albanD-patch-1              -> origin/albanD-patch-1
2025-08-14T21:22:33.4276094Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-08-14T21:22:33.4278056Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-08-14T21:22:33.4279100Z  * [new branch]              angelayi/aoti_inductor_fx   -> origin/angelayi/aoti_inductor_fx
2025-08-14T21:22:33.4280518Z  * [new branch]              angelayi/assert_tensor_metadata_device -> origin/angelayi/assert_tensor_metadata_device
2025-08-14T21:22:33.4286874Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-08-14T21:22:33.4287878Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-08-14T21:22:33.4289576Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-08-14T21:22:33.4290836Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-08-14T21:22:33.4292550Z  * [new branch]              angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph
2025-08-14T21:22:33.4293587Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-08-14T21:22:33.4294809Z  * [new branch]              angelayi/del_lib            -> origin/angelayi/del_lib
2025-08-14T21:22:33.4295946Z  * [new branch]              angelayi/docs               -> origin/angelayi/docs
2025-08-14T21:22:33.4297239Z  * [new branch]              angelayi/docs2              -> origin/angelayi/docs2
2025-08-14T21:22:33.4298406Z  * [new branch]              angelayi/fix_pt2            -> origin/angelayi/fix_pt2
2025-08-14T21:22:33.4299812Z  * [new branch]              angelayi/logging.bak        -> origin/angelayi/logging.bak
2025-08-14T21:22:33.4300814Z  * [new branch]              angelayi/logging2           -> origin/angelayi/logging2
2025-08-14T21:22:33.4302025Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-08-14T21:22:33.4303463Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
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2025-08-14T21:22:34.1362570Z  * [new tag]                 ciflow/h100/160614          -> ciflow/h100/160614
2025-08-14T21:22:34.1363690Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-08-14T21:22:34.1364566Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/160538 -> ciflow/inductor-perf-test-nightly-rocm/160538
2025-08-14T21:22:34.1365921Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/156599 -> ciflow/inductor-perf-test-nightly-x86-zen/156599
2025-08-14T21:22:34.1366727Z  * [new tag]                 ciflow/inductor-periodic/160406 -> ciflow/inductor-periodic/160406
2025-08-14T21:22:34.1367452Z  * [new tag]                 ciflow/inductor-periodic/160538 -> ciflow/inductor-periodic/160538
2025-08-14T21:22:34.1368301Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-08-14T21:22:34.1369019Z  * [new tag]                 ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T21:22:34.1369907Z  * [new tag]                 ciflow/inductor-rocm/160073 -> ciflow/inductor-rocm/160073
2025-08-14T21:22:34.1370636Z  * [new tag]                 ciflow/inductor-rocm/160538 -> ciflow/inductor-rocm/160538
2025-08-14T21:22:34.1371612Z  * [new tag]                 ciflow/inductor/134881      -> ciflow/inductor/134881
2025-08-14T21:22:34.1372497Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-08-14T21:22:34.1373047Z  * [new tag]                 ciflow/inductor/144516      -> ciflow/inductor/144516
2025-08-14T21:22:34.1373735Z  * [new tag]                 ciflow/inductor/146506      -> ciflow/inductor/146506
2025-08-14T21:22:34.1374579Z  * [new tag]                 ciflow/inductor/147360      -> ciflow/inductor/147360
2025-08-14T21:22:34.1375303Z  * [new tag]                 ciflow/inductor/147990      -> ciflow/inductor/147990
2025-08-14T21:22:34.1376003Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-08-14T21:22:34.1376769Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-08-14T21:22:34.1377526Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-08-14T21:22:34.1378259Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-08-14T21:22:34.1378972Z  * [new tag]                 ciflow/inductor/150302      -> ciflow/inductor/150302
2025-08-14T21:22:34.1380056Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-08-14T21:22:34.1381031Z  * [new tag]                 ciflow/inductor/152198      -> ciflow/inductor/152198
2025-08-14T21:22:34.1381986Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-08-14T21:22:34.1382726Z  * [new tag]                 ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T21:22:34.1383865Z  * [new tag]                 ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T21:22:34.1384916Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T21:22:34.1385638Z  * [new tag]                 ciflow/inductor/154694      -> ciflow/inductor/154694
2025-08-14T21:22:34.1386431Z  * [new tag]                 ciflow/inductor/155072      -> ciflow/inductor/155072
2025-08-14T21:22:34.1387271Z  * [new tag]                 ciflow/inductor/155152      -> ciflow/inductor/155152
2025-08-14T21:22:34.1388031Z  * [new tag]                 ciflow/inductor/155153      -> ciflow/inductor/155153
2025-08-14T21:22:34.1388828Z  * [new tag]                 ciflow/inductor/155154      -> ciflow/inductor/155154
2025-08-14T21:22:34.1389620Z  * [new tag]                 ciflow/inductor/155501      -> ciflow/inductor/155501
2025-08-14T21:22:34.1390537Z  * [new tag]                 ciflow/inductor/155502      -> ciflow/inductor/155502
2025-08-14T21:22:34.1391224Z  * [new tag]                 ciflow/inductor/155503      -> ciflow/inductor/155503
2025-08-14T21:22:34.1392267Z  * [new tag]                 ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T21:22:34.1393014Z  * [new tag]                 ciflow/inductor/155557      -> ciflow/inductor/155557
2025-08-14T21:22:34.1393836Z  * [new tag]                 ciflow/inductor/155608      -> ciflow/inductor/155608
2025-08-14T21:22:34.1394715Z  * [new tag]                 ciflow/inductor/155923      -> ciflow/inductor/155923
2025-08-14T21:22:34.1395470Z  * [new tag]                 ciflow/inductor/155928      -> ciflow/inductor/155928
2025-08-14T21:22:34.1396548Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T21:22:34.1397188Z  * [new tag]                 ciflow/inductor/156049      -> ciflow/inductor/156049
2025-08-14T21:22:34.1397892Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T21:22:34.1398671Z  * [new tag]                 ciflow/inductor/156967      -> ciflow/inductor/156967
2025-08-14T21:22:34.1399429Z  * [new tag]                 ciflow/inductor/157148      -> ciflow/inductor/157148
2025-08-14T21:22:34.1400188Z  * [new tag]                 ciflow/inductor/157149      -> ciflow/inductor/157149
2025-08-14T21:22:34.1401051Z  * [new tag]                 ciflow/inductor/157152      -> ciflow/inductor/157152
2025-08-14T21:22:34.1401825Z  * [new tag]                 ciflow/inductor/157542      -> ciflow/inductor/157542
2025-08-14T21:22:34.1402623Z  * [new tag]                 ciflow/inductor/157572      -> ciflow/inductor/157572
2025-08-14T21:22:34.1403350Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-08-14T21:22:34.1408940Z  * [new tag]                 ciflow/inductor/157685      -> ciflow/inductor/157685
2025-08-14T21:22:34.1411046Z  * [new tag]                 ciflow/inductor/157686      -> ciflow/inductor/157686
2025-08-14T21:22:34.1413018Z  * [new tag]                 ciflow/inductor/157689      -> ciflow/inductor/157689
2025-08-14T21:22:34.1415012Z  * [new tag]                 ciflow/inductor/157699      -> ciflow/inductor/157699
2025-08-14T21:22:34.1416181Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-08-14T21:22:34.1416940Z  * [new tag]                 ciflow/inductor/157944      -> ciflow/inductor/157944
2025-08-14T21:22:34.1417701Z  * [new tag]                 ciflow/inductor/157971      -> ciflow/inductor/157971
2025-08-14T21:22:34.1418646Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-08-14T21:22:34.1419393Z  * [new tag]                 ciflow/inductor/158061      -> ciflow/inductor/158061
2025-08-14T21:22:34.1420134Z  * [new tag]                 ciflow/inductor/158091      -> ciflow/inductor/158091
2025-08-14T21:22:34.1420912Z  * [new tag]                 ciflow/inductor/158097      -> ciflow/inductor/158097
2025-08-14T21:22:34.1421672Z  * [new tag]                 ciflow/inductor/158098      -> ciflow/inductor/158098
2025-08-14T21:22:34.1423544Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-08-14T21:22:34.1424329Z  * [new tag]                 ciflow/inductor/158168      -> ciflow/inductor/158168
2025-08-14T21:22:34.1425335Z  * [new tag]                 ciflow/inductor/158250      -> ciflow/inductor/158250
2025-08-14T21:22:34.1426090Z  * [new tag]                 ciflow/inductor/158321      -> ciflow/inductor/158321
2025-08-14T21:22:34.1426880Z  * [new tag]                 ciflow/inductor/158609      -> ciflow/inductor/158609
2025-08-14T21:22:34.1427675Z  * [new tag]                 ciflow/inductor/158647      -> ciflow/inductor/158647
2025-08-14T21:22:34.1428461Z  * [new tag]                 ciflow/inductor/158914      -> ciflow/inductor/158914
2025-08-14T21:22:34.1429566Z  * [new tag]                 ciflow/inductor/158932      -> ciflow/inductor/158932
2025-08-14T21:22:34.1430237Z  * [new tag]                 ciflow/inductor/158987      -> ciflow/inductor/158987
2025-08-14T21:22:34.1431098Z  * [new tag]                 ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T21:22:34.1431893Z  * [new tag]                 ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T21:22:34.1432676Z  * [new tag]                 ciflow/inductor/159093      -> ciflow/inductor/159093
2025-08-14T21:22:34.1433479Z  * [new tag]                 ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T21:22:34.1434254Z  * [new tag]                 ciflow/inductor/159197      -> ciflow/inductor/159197
2025-08-14T21:22:34.1435457Z  * [new tag]                 ciflow/inductor/159274      -> ciflow/inductor/159274
2025-08-14T21:22:34.1436196Z  * [new tag]                 ciflow/inductor/159281      -> ciflow/inductor/159281
2025-08-14T21:22:34.1437056Z  * [new tag]                 ciflow/inductor/159329      -> ciflow/inductor/159329
2025-08-14T21:22:34.1437845Z  * [new tag]                 ciflow/inductor/159361      -> ciflow/inductor/159361
2025-08-14T21:22:34.1438627Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T21:22:34.1439398Z  * [new tag]                 ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T21:22:34.1440157Z  * [new tag]                 ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T21:22:34.1440930Z  * [new tag]                 ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T21:22:34.1441900Z  * [new tag]                 ciflow/inductor/159473      -> ciflow/inductor/159473
2025-08-14T21:22:34.1442596Z  * [new tag]                 ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T21:22:34.1443376Z  * [new tag]                 ciflow/inductor/159508      -> ciflow/inductor/159508
2025-08-14T21:22:34.1444121Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T21:22:34.1444962Z  * [new tag]                 ciflow/inductor/159678      -> ciflow/inductor/159678
2025-08-14T21:22:34.1445663Z  * [new tag]                 ciflow/inductor/159691      -> ciflow/inductor/159691
2025-08-14T21:22:34.1446680Z  * [new tag]                 ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T21:22:34.1447429Z  * [new tag]                 ciflow/inductor/159786      -> ciflow/inductor/159786
2025-08-14T21:22:34.1448219Z  * [new tag]                 ciflow/inductor/159817      -> ciflow/inductor/159817
2025-08-14T21:22:34.1448998Z  * [new tag]                 ciflow/inductor/159842      -> ciflow/inductor/159842
2025-08-14T21:22:34.1449763Z  * [new tag]                 ciflow/inductor/159864      -> ciflow/inductor/159864
2025-08-14T21:22:34.1450555Z  * [new tag]                 ciflow/inductor/159865      -> ciflow/inductor/159865
2025-08-14T21:22:34.1451357Z  * [new tag]                 ciflow/inductor/159869      -> ciflow/inductor/159869
2025-08-14T21:22:34.1452107Z  * [new tag]                 ciflow/inductor/159875      -> ciflow/inductor/159875
2025-08-14T21:22:34.1452870Z  * [new tag]                 ciflow/inductor/159889      -> ciflow/inductor/159889
2025-08-14T21:22:34.1454294Z  * [new tag]                 ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T21:22:34.1455371Z  * [new tag]                 ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T21:22:34.1456159Z  * [new tag]                 ciflow/inductor/159944      -> ciflow/inductor/159944
2025-08-14T21:22:34.1456947Z  * [new tag]                 ciflow/inductor/160004      -> ciflow/inductor/160004
2025-08-14T21:22:34.1457718Z  * [new tag]                 ciflow/inductor/160080      -> ciflow/inductor/160080
2025-08-14T21:22:34.1458517Z  * [new tag]                 ciflow/inductor/160108      -> ciflow/inductor/160108
2025-08-14T21:22:34.1459299Z  * [new tag]                 ciflow/inductor/160109      -> ciflow/inductor/160109
2025-08-14T21:22:34.1460461Z  * [new tag]                 ciflow/inductor/160111      -> ciflow/inductor/160111
2025-08-14T21:22:34.1461034Z  * [new tag]                 ciflow/inductor/160113      -> ciflow/inductor/160113
2025-08-14T21:22:34.1461799Z  * [new tag]                 ciflow/inductor/160127      -> ciflow/inductor/160127
2025-08-14T21:22:34.1462564Z  * [new tag]                 ciflow/inductor/160131      -> ciflow/inductor/160131
2025-08-14T21:22:34.1463913Z  * [new tag]                 ciflow/inductor/160132      -> ciflow/inductor/160132
2025-08-14T21:22:34.1464660Z  * [new tag]                 ciflow/inductor/160136      -> ciflow/inductor/160136
2025-08-14T21:22:34.1465382Z  * [new tag]                 ciflow/inductor/160138      -> ciflow/inductor/160138
2025-08-14T21:22:34.1466166Z  * [new tag]                 ciflow/inductor/160151      -> ciflow/inductor/160151
2025-08-14T21:22:34.1466988Z  * [new tag]                 ciflow/inductor/160152      -> ciflow/inductor/160152
2025-08-14T21:22:34.1472574Z  * [new tag]                 ciflow/inductor/160154      -> ciflow/inductor/160154
2025-08-14T21:22:34.1472817Z  * [new tag]                 ciflow/inductor/160156      -> ciflow/inductor/160156
2025-08-14T21:22:34.1473047Z  * [new tag]                 ciflow/inductor/160161      -> ciflow/inductor/160161
2025-08-14T21:22:34.1473271Z  * [new tag]                 ciflow/inductor/160166      -> ciflow/inductor/160166
2025-08-14T21:22:34.1473493Z  * [new tag]                 ciflow/inductor/160168      -> ciflow/inductor/160168
2025-08-14T21:22:34.1473728Z  * [new tag]                 ciflow/inductor/160174      -> ciflow/inductor/160174
2025-08-14T21:22:34.1473952Z  * [new tag]                 ciflow/inductor/160181      -> ciflow/inductor/160181
2025-08-14T21:22:34.1474187Z  * [new tag]                 ciflow/inductor/160183      -> ciflow/inductor/160183
2025-08-14T21:22:34.1475043Z  * [new tag]                 ciflow/inductor/160190      -> ciflow/inductor/160190
2025-08-14T21:22:34.1476254Z  * [new tag]                 ciflow/inductor/160198      -> ciflow/inductor/160198
2025-08-14T21:22:34.1477033Z  * [new tag]                 ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T21:22:34.1478278Z  * [new tag]                 ciflow/inductor/160209      -> ciflow/inductor/160209
2025-08-14T21:22:34.1479362Z  * [new tag]                 ciflow/inductor/160218      -> ciflow/inductor/160218
2025-08-14T21:22:34.1480417Z  * [new tag]                 ciflow/inductor/160239      -> ciflow/inductor/160239
2025-08-14T21:22:34.1481171Z  * [new tag]                 ciflow/inductor/160250      -> ciflow/inductor/160250
2025-08-14T21:22:34.1482249Z  * [new tag]                 ciflow/inductor/160253      -> ciflow/inductor/160253
2025-08-14T21:22:34.1482909Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-08-14T21:22:34.1483640Z  * [new tag]                 ciflow/inductor/160282      -> ciflow/inductor/160282
2025-08-14T21:22:34.1484407Z  * [new tag]                 ciflow/inductor/160298      -> ciflow/inductor/160298
2025-08-14T21:22:34.1485160Z  * [new tag]                 ciflow/inductor/160301      -> ciflow/inductor/160301
2025-08-14T21:22:34.1486104Z  * [new tag]                 ciflow/inductor/160310      -> ciflow/inductor/160310
2025-08-14T21:22:34.1487017Z  * [new tag]                 ciflow/inductor/160323      -> ciflow/inductor/160323
2025-08-14T21:22:34.1488135Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-08-14T21:22:34.1489120Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-08-14T21:22:34.1490003Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T21:22:34.1490953Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-08-14T21:22:34.1491812Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-08-14T21:22:34.1492951Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-08-14T21:22:34.1493712Z  * [new tag]                 ciflow/inductor/160351      -> ciflow/inductor/160351
2025-08-14T21:22:34.1494507Z  * [new tag]                 ciflow/inductor/160353      -> ciflow/inductor/160353
2025-08-14T21:22:34.1495274Z  * [new tag]                 ciflow/inductor/160362      -> ciflow/inductor/160362
2025-08-14T21:22:34.1496079Z  * [new tag]                 ciflow/inductor/160363      -> ciflow/inductor/160363
2025-08-14T21:22:34.1496823Z  * [new tag]                 ciflow/inductor/160364      -> ciflow/inductor/160364
2025-08-14T21:22:34.1497602Z  * [new tag]                 ciflow/inductor/160365      -> ciflow/inductor/160365
2025-08-14T21:22:34.1498394Z  * [new tag]                 ciflow/inductor/160366      -> ciflow/inductor/160366
2025-08-14T21:22:34.1499158Z  * [new tag]                 ciflow/inductor/160367      -> ciflow/inductor/160367
2025-08-14T21:22:34.1499949Z  * [new tag]                 ciflow/inductor/160368      -> ciflow/inductor/160368
2025-08-14T21:22:34.1500715Z  * [new tag]                 ciflow/inductor/160369      -> ciflow/inductor/160369
2025-08-14T21:22:34.1501516Z  * [new tag]                 ciflow/inductor/160371      -> ciflow/inductor/160371
2025-08-14T21:22:34.1502262Z  * [new tag]                 ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T21:22:34.1503107Z  * [new tag]                 ciflow/inductor/160375      -> ciflow/inductor/160375
2025-08-14T21:22:34.1504236Z  * [new tag]                 ciflow/inductor/160377      -> ciflow/inductor/160377
2025-08-14T21:22:34.1504969Z  * [new tag]                 ciflow/inductor/160380      -> ciflow/inductor/160380
2025-08-14T21:22:34.1506109Z  * [new tag]                 ciflow/inductor/160381      -> ciflow/inductor/160381
2025-08-14T21:22:34.1507164Z  * [new tag]                 ciflow/inductor/160383      -> ciflow/inductor/160383
2025-08-14T21:22:34.1508227Z  * [new tag]                 ciflow/inductor/160394      -> ciflow/inductor/160394
2025-08-14T21:22:34.1508976Z  * [new tag]                 ciflow/inductor/160401      -> ciflow/inductor/160401
2025-08-14T21:22:34.1509768Z  * [new tag]                 ciflow/inductor/160402      -> ciflow/inductor/160402
2025-08-14T21:22:34.1510570Z  * [new tag]                 ciflow/inductor/160403      -> ciflow/inductor/160403
2025-08-14T21:22:34.1511353Z  * [new tag]                 ciflow/inductor/160424      -> ciflow/inductor/160424
2025-08-14T21:22:34.1512181Z  * [new tag]                 ciflow/inductor/160426      -> ciflow/inductor/160426
2025-08-14T21:22:34.1513278Z  * [new tag]                 ciflow/inductor/160431      -> ciflow/inductor/160431
2025-08-14T21:22:34.1514056Z  * [new tag]                 ciflow/inductor/160448      -> ciflow/inductor/160448
2025-08-14T21:22:34.1514985Z  * [new tag]                 ciflow/inductor/160450      -> ciflow/inductor/160450
2025-08-14T21:22:34.1515752Z  * [new tag]                 ciflow/inductor/160455      -> ciflow/inductor/160455
2025-08-14T21:22:34.1516832Z  * [new tag]                 ciflow/inductor/160456      -> ciflow/inductor/160456
2025-08-14T21:22:34.1517683Z  * [new tag]                 ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T21:22:34.1518459Z  * [new tag]                 ciflow/inductor/160462      -> ciflow/inductor/160462
2025-08-14T21:22:34.1519222Z  * [new tag]                 ciflow/inductor/160467      -> ciflow/inductor/160467
2025-08-14T21:22:34.1520136Z  * [new tag]                 ciflow/inductor/160470      -> ciflow/inductor/160470
2025-08-14T21:22:34.1520914Z  * [new tag]                 ciflow/inductor/160473      -> ciflow/inductor/160473
2025-08-14T21:22:34.1521662Z  * [new tag]                 ciflow/inductor/160476      -> ciflow/inductor/160476
2025-08-14T21:22:34.1522447Z  * [new tag]                 ciflow/inductor/160480      -> ciflow/inductor/160480
2025-08-14T21:22:34.1523310Z  * [new tag]                 ciflow/inductor/160481      -> ciflow/inductor/160481
2025-08-14T21:22:34.1524202Z  * [new tag]                 ciflow/inductor/160482      -> ciflow/inductor/160482
2025-08-14T21:22:34.1524874Z  * [new tag]                 ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T21:22:34.1525644Z  * [new tag]                 ciflow/inductor/160485      -> ciflow/inductor/160485
2025-08-14T21:22:34.1526650Z  * [new tag]                 ciflow/inductor/160486      -> ciflow/inductor/160486
2025-08-14T21:22:34.1527395Z  * [new tag]                 ciflow/inductor/160503      -> ciflow/inductor/160503
2025-08-14T21:22:34.1528158Z  * [new tag]                 ciflow/inductor/160510      -> ciflow/inductor/160510
2025-08-14T21:22:34.1528918Z  * [new tag]                 ciflow/inductor/160527      -> ciflow/inductor/160527
2025-08-14T21:22:34.1529956Z  * [new tag]                 ciflow/inductor/160530      -> ciflow/inductor/160530
2025-08-14T21:22:34.1535376Z  * [new tag]                 ciflow/inductor/160531      -> ciflow/inductor/160531
2025-08-14T21:22:34.1535599Z  * [new tag]                 ciflow/inductor/160538      -> ciflow/inductor/160538
2025-08-14T21:22:34.1535827Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T21:22:34.1536041Z  * [new tag]                 ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T21:22:34.1536259Z  * [new tag]                 ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T21:22:34.1536474Z  * [new tag]                 ciflow/inductor/160561      -> ciflow/inductor/160561
2025-08-14T21:22:34.1537211Z  * [new tag]                 ciflow/inductor/160576      -> ciflow/inductor/160576
2025-08-14T21:22:34.1538001Z  * [new tag]                 ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T21:22:34.1538756Z  * [new tag]                 ciflow/inductor/160580      -> ciflow/inductor/160580
2025-08-14T21:22:34.1539563Z  * [new tag]                 ciflow/inductor/160583      -> ciflow/inductor/160583
2025-08-14T21:22:34.1540547Z  * [new tag]                 ciflow/inductor/160589      -> ciflow/inductor/160589
2025-08-14T21:22:34.1541427Z  * [new tag]                 ciflow/inductor/160590      -> ciflow/inductor/160590
2025-08-14T21:22:34.1542422Z  * [new tag]                 ciflow/inductor/160592      -> ciflow/inductor/160592
2025-08-14T21:22:34.1543402Z  * [new tag]                 ciflow/inductor/160596      -> ciflow/inductor/160596
2025-08-14T21:22:34.1544251Z  * [new tag]                 ciflow/inductor/160601      -> ciflow/inductor/160601
2025-08-14T21:22:34.1545261Z  * [new tag]                 ciflow/inductor/160607      -> ciflow/inductor/160607
2025-08-14T21:22:34.1546276Z  * [new tag]                 ciflow/inductor/160608      -> ciflow/inductor/160608
2025-08-14T21:22:34.1546972Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-08-14T21:22:34.1547836Z  * [new tag]                 ciflow/inductor/160614      -> ciflow/inductor/160614
2025-08-14T21:22:34.1548914Z  * [new tag]                 ciflow/inductor/160616      -> ciflow/inductor/160616
2025-08-14T21:22:34.1549632Z  * [new tag]                 ciflow/inductor/160619      -> ciflow/inductor/160619
2025-08-14T21:22:34.1550379Z  * [new tag]                 ciflow/inductor/160625      -> ciflow/inductor/160625
2025-08-14T21:22:34.1551180Z  * [new tag]                 ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T21:22:34.1552165Z  * [new tag]                 ciflow/inductor/160649      -> ciflow/inductor/160649
2025-08-14T21:22:34.1552916Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T21:22:34.1554410Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T21:22:34.1555228Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T21:22:34.1556107Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T21:22:34.1556926Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T21:22:34.1558109Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T21:22:34.1558894Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T21:22:34.1559646Z  * [new tag]                 ciflow/inductor/160679      -> ciflow/inductor/160679
2025-08-14T21:22:34.1560724Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-08-14T21:22:34.1561603Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-08-14T21:22:34.1562625Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-08-14T21:22:34.1563504Z  * [new tag]                 ciflow/linux-aarch64/147855 -> ciflow/linux-aarch64/147855
2025-08-14T21:22:34.1564226Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-08-14T21:22:34.1564942Z  * [new tag]                 ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737
2025-08-14T21:22:34.1565707Z  * [new tag]                 ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078
2025-08-14T21:22:34.1566404Z  * [new tag]                 ciflow/linux-aarch64/160299 -> ciflow/linux-aarch64/160299
2025-08-14T21:22:34.1567118Z  * [new tag]                 ciflow/linux-aarch64/160301 -> ciflow/linux-aarch64/160301
2025-08-14T21:22:34.1568141Z  * [new tag]                 ciflow/mps/155923           -> ciflow/mps/155923
2025-08-14T21:22:34.1568721Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-08-14T21:22:34.1569936Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-08-14T21:22:34.1570673Z  * [new tag]                 ciflow/mps/160541           -> ciflow/mps/160541
2025-08-14T21:22:34.1571520Z  * [new tag]                 ciflow/nightly/156049       -> ciflow/nightly/156049
2025-08-14T21:22:34.1572247Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-08-14T21:22:34.1573778Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-08-14T21:22:34.1574694Z  * [new tag]                 ciflow/periodic-rocm-mi300/139971 -> ciflow/periodic-rocm-mi300/139971
2025-08-14T21:22:34.1575398Z  * [new tag]                 ciflow/periodic-rocm-mi300/160073 -> ciflow/periodic-rocm-mi300/160073
2025-08-14T21:22:34.1576118Z  * [new tag]                 ciflow/periodic-rocm-mi300/160538 -> ciflow/periodic-rocm-mi300/160538
2025-08-14T21:22:34.1577274Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-08-14T21:22:34.1578095Z  * [new tag]                 ciflow/periodic/131296      -> ciflow/periodic/131296
2025-08-14T21:22:34.1578805Z  * [new tag]                 ciflow/periodic/139971      -> ciflow/periodic/139971
2025-08-14T21:22:34.1579528Z  * [new tag]                 ciflow/periodic/143959      -> ciflow/periodic/143959
2025-08-14T21:22:34.1580244Z  * [new tag]                 ciflow/periodic/154595      -> ciflow/periodic/154595
2025-08-14T21:22:34.1581066Z  * [new tag]                 ciflow/periodic/156703      -> ciflow/periodic/156703
2025-08-14T21:22:34.1581768Z  * [new tag]                 ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T21:22:34.1582500Z  * [new tag]                 ciflow/periodic/160424      -> ciflow/periodic/160424
2025-08-14T21:22:34.1583487Z  * [new tag]                 ciflow/periodic/160538      -> ciflow/periodic/160538
2025-08-14T21:22:34.1585425Z  * [new tag]                 ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> ciflow/periodic/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:22:34.1586213Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-08-14T21:22:34.1587596Z  * [new tag]                 ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b -> ciflow/periodic/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:22:34.1588243Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-08-14T21:22:34.1589095Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-08-14T21:22:34.1590253Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-08-14T21:22:34.1591521Z  * [new tag]                 ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> ciflow/periodic/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:22:34.1597623Z  * [new tag]                 ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93 -> ciflow/periodic/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:22:34.1598501Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-08-14T21:22:34.1599794Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-08-14T21:22:34.1600715Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-08-14T21:22:34.1601617Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-08-14T21:22:34.1603102Z  * [new tag]                 ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51 -> ciflow/periodic/d7114f05b10de8e6de81ffc567d63944c3117d51
2025-08-14T21:22:34.1603773Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-08-14T21:22:34.1605411Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-08-14T21:22:34.1606545Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-08-14T21:22:34.1607655Z  * [new tag]                 ciflow/rocm-mi300/151360    -> ciflow/rocm-mi300/151360
2025-08-14T21:22:34.1608346Z  * [new tag]                 ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T21:22:34.1609068Z  * [new tag]                 ciflow/rocm-mi300/160073    -> ciflow/rocm-mi300/160073
2025-08-14T21:22:34.1609904Z  * [new tag]                 ciflow/rocm-mi300/160468    -> ciflow/rocm-mi300/160468
2025-08-14T21:22:34.1610658Z  * [new tag]                 ciflow/rocm-mi300/160538    -> ciflow/rocm-mi300/160538
2025-08-14T21:22:34.1611742Z  * [new tag]                 ciflow/rocm-mi355/160215    -> ciflow/rocm-mi355/160215
2025-08-14T21:22:34.1612569Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-08-14T21:22:34.1613285Z  * [new tag]                 ciflow/rocm/151360          -> ciflow/rocm/151360
2025-08-14T21:22:34.1614015Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-08-14T21:22:34.1614855Z  * [new tag]                 ciflow/rocm/154864          -> ciflow/rocm/154864
2025-08-14T21:22:34.1616116Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T21:22:34.1616821Z  * [new tag]                 ciflow/rocm/158219          -> ciflow/rocm/158219
2025-08-14T21:22:34.1617559Z  * [new tag]                 ciflow/rocm/158220          -> ciflow/rocm/158220
2025-08-14T21:22:34.1618284Z  * [new tag]                 ciflow/rocm/158224          -> ciflow/rocm/158224
2025-08-14T21:22:34.1619002Z  * [new tag]                 ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T21:22:34.1619721Z  * [new tag]                 ciflow/rocm/160215          -> ciflow/rocm/160215
2025-08-14T21:22:34.1620472Z  * [new tag]                 ciflow/rocm/160468          -> ciflow/rocm/160468
2025-08-14T21:22:34.1621540Z  * [new tag]                 ciflow/rocm/160538          -> ciflow/rocm/160538
2025-08-14T21:22:34.1622571Z  * [new tag]                 ciflow/s390/143959          -> ciflow/s390/143959
2025-08-14T21:22:34.1623904Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-08-14T21:22:34.1624743Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-08-14T21:22:34.1626207Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-08-14T21:22:34.1626777Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-08-14T21:22:34.1627434Z  * [new tag]                 ciflow/slow/154595          -> ciflow/slow/154595
2025-08-14T21:22:34.1628349Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-08-14T21:22:34.1629424Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-08-14T21:22:34.1630253Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-08-14T21:22:34.1631604Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-08-14T21:22:34.1632704Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-08-14T21:22:34.1633689Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-08-14T21:22:34.1634674Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-08-14T21:22:34.1635633Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-08-14T21:22:34.1637172Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-08-14T21:22:34.1637708Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-08-14T21:22:34.1638709Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-08-14T21:22:34.1639547Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-08-14T21:22:34.1640549Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-08-14T21:22:34.1641501Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-08-14T21:22:34.1642948Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-08-14T21:22:34.1643453Z  * [new tag]                 ciflow/trunk/131296         -> ciflow/trunk/131296
2025-08-14T21:22:34.1644250Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-08-14T21:22:34.1644955Z  * [new tag]                 ciflow/trunk/138996         -> ciflow/trunk/138996
2025-08-14T21:22:34.1645660Z  * [new tag]                 ciflow/trunk/139971         -> ciflow/trunk/139971
2025-08-14T21:22:34.1646393Z  * [new tag]                 ciflow/trunk/147360         -> ciflow/trunk/147360
2025-08-14T21:22:34.1647136Z  * [new tag]                 ciflow/trunk/147855         -> ciflow/trunk/147855
2025-08-14T21:22:34.1647820Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-08-14T21:22:34.1648542Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-08-14T21:22:34.1649237Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-08-14T21:22:34.1650268Z  * [new tag]                 ciflow/trunk/150282         -> ciflow/trunk/150282
2025-08-14T21:22:34.1667068Z  * [new tag]                 ciflow/trunk/150302         -> ciflow/trunk/150302
2025-08-14T21:22:34.1667655Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-08-14T21:22:34.1667880Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-08-14T21:22:34.1668115Z  * [new tag]                 ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T21:22:34.1668325Z  * [new tag]                 ciflow/trunk/154595         -> ciflow/trunk/154595
2025-08-14T21:22:34.1668528Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T21:22:34.1668748Z  * [new tag]                 ciflow/trunk/154694         -> ciflow/trunk/154694
2025-08-14T21:22:34.1668952Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
2025-08-14T21:22:34.1669169Z  * [new tag]                 ciflow/trunk/156049         -> ciflow/trunk/156049
2025-08-14T21:22:34.1669570Z  * [new tag]                 ciflow/trunk/156703         -> ciflow/trunk/156703
2025-08-14T21:22:34.1669785Z  * [new tag]                 ciflow/trunk/156851         -> ciflow/trunk/156851
2025-08-14T21:22:34.1670006Z  * [new tag]                 ciflow/trunk/157148         -> ciflow/trunk/157148
2025-08-14T21:22:34.1670581Z  * [new tag]                 ciflow/trunk/157152         -> ciflow/trunk/157152
2025-08-14T21:22:34.1671356Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-08-14T21:22:34.1672108Z  * [new tag]                 ciflow/trunk/157685         -> ciflow/trunk/157685
2025-08-14T21:22:34.1672919Z  * [new tag]                 ciflow/trunk/157689         -> ciflow/trunk/157689
2025-08-14T21:22:34.1673674Z  * [new tag]                 ciflow/trunk/157699         -> ciflow/trunk/157699
2025-08-14T21:22:34.1674457Z  * [new tag]                 ciflow/trunk/157813         -> ciflow/trunk/157813
2025-08-14T21:22:34.1675316Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-08-14T21:22:34.1676085Z  * [new tag]                 ciflow/trunk/158091         -> ciflow/trunk/158091
2025-08-14T21:22:34.1676867Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-08-14T21:22:34.1677612Z  * [new tag]                 ciflow/trunk/158219         -> ciflow/trunk/158219
2025-08-14T21:22:34.1678367Z  * [new tag]                 ciflow/trunk/158220         -> ciflow/trunk/158220
2025-08-14T21:22:34.1679149Z  * [new tag]                 ciflow/trunk/158224         -> ciflow/trunk/158224
2025-08-14T21:22:34.1680306Z  * [new tag]                 ciflow/trunk/158529         -> ciflow/trunk/158529
2025-08-14T21:22:34.1680790Z  * [new tag]                 ciflow/trunk/158647         -> ciflow/trunk/158647
2025-08-14T21:22:34.1681570Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
2025-08-14T21:22:34.1682336Z  * [new tag]                 ciflow/trunk/158812         -> ciflow/trunk/158812
2025-08-14T21:22:34.1683087Z  * [new tag]                 ciflow/trunk/158863         -> ciflow/trunk/158863
2025-08-14T21:22:34.1683845Z  * [new tag]                 ciflow/trunk/158864         -> ciflow/trunk/158864
2025-08-14T21:22:34.1684623Z  * [new tag]                 ciflow/trunk/158883         -> ciflow/trunk/158883
2025-08-14T21:22:34.1685390Z  * [new tag]                 ciflow/trunk/158914         -> ciflow/trunk/158914
2025-08-14T21:22:34.1686196Z  * [new tag]                 ciflow/trunk/158965         -> ciflow/trunk/158965
2025-08-14T21:22:34.1686932Z  * [new tag]                 ciflow/trunk/158987         -> ciflow/trunk/158987
2025-08-14T21:22:34.1687931Z  * [new tag]                 ciflow/trunk/159033         -> ciflow/trunk/159033
2025-08-14T21:22:34.1688746Z  * [new tag]                 ciflow/trunk/159140         -> ciflow/trunk/159140
2025-08-14T21:22:34.1689520Z  * [new tag]                 ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T21:22:34.1690302Z  * [new tag]                 ciflow/trunk/159553         -> ciflow/trunk/159553
2025-08-14T21:22:34.1691532Z  * [new tag]                 ciflow/trunk/159562         -> ciflow/trunk/159562
2025-08-14T21:22:34.1692399Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T21:22:34.1693162Z  * [new tag]                 ciflow/trunk/159691         -> ciflow/trunk/159691
2025-08-14T21:22:34.1694087Z  * [new tag]                 ciflow/trunk/159842         -> ciflow/trunk/159842
2025-08-14T21:22:34.1694802Z  * [new tag]                 ciflow/trunk/159889         -> ciflow/trunk/159889
2025-08-14T21:22:34.1695615Z  * [new tag]                 ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T21:22:34.1696440Z  * [new tag]                 ciflow/trunk/160004         -> ciflow/trunk/160004
2025-08-14T21:22:34.1697185Z  * [new tag]                 ciflow/trunk/160113         -> ciflow/trunk/160113
2025-08-14T21:22:34.1697960Z  * [new tag]                 ciflow/trunk/160161         -> ciflow/trunk/160161
2025-08-14T21:22:34.1698766Z  * [new tag]                 ciflow/trunk/160168         -> ciflow/trunk/160168
2025-08-14T21:22:34.1699461Z  * [new tag]                 ciflow/trunk/160181         -> ciflow/trunk/160181
2025-08-14T21:22:34.1700241Z  * [new tag]                 ciflow/trunk/160183         -> ciflow/trunk/160183
2025-08-14T21:22:34.1700992Z  * [new tag]                 ciflow/trunk/160190         -> ciflow/trunk/160190
2025-08-14T21:22:34.1701768Z  * [new tag]                 ciflow/trunk/160198         -> ciflow/trunk/160198
2025-08-14T21:22:34.1702510Z  * [new tag]                 ciflow/trunk/160205         -> ciflow/trunk/160205
2025-08-14T21:22:34.1703816Z  * [new tag]                 ciflow/trunk/160219         -> ciflow/trunk/160219
2025-08-14T21:22:34.1704521Z  * [new tag]                 ciflow/trunk/160224         -> ciflow/trunk/160224
2025-08-14T21:22:34.1705308Z  * [new tag]                 ciflow/trunk/160250         -> ciflow/trunk/160250
2025-08-14T21:22:34.1706119Z  * [new tag]                 ciflow/trunk/160253         -> ciflow/trunk/160253
2025-08-14T21:22:34.1707033Z  * [new tag]                 ciflow/trunk/160335         -> ciflow/trunk/160335
2025-08-14T21:22:34.1708009Z  * [new tag]                 ciflow/trunk/160338         -> ciflow/trunk/160338
2025-08-14T21:22:34.1708731Z  * [new tag]                 ciflow/trunk/160383         -> ciflow/trunk/160383
2025-08-14T21:22:34.1709524Z  * [new tag]                 ciflow/trunk/160401         -> ciflow/trunk/160401
2025-08-14T21:22:34.1710308Z  * [new tag]                 ciflow/trunk/160403         -> ciflow/trunk/160403
2025-08-14T21:22:34.1711101Z  * [new tag]                 ciflow/trunk/160430         -> ciflow/trunk/160430
2025-08-14T21:22:34.1711877Z  * [new tag]                 ciflow/trunk/160431         -> ciflow/trunk/160431
2025-08-14T21:22:34.1712984Z  * [new tag]                 ciflow/trunk/160439         -> ciflow/trunk/160439
2025-08-14T21:22:34.1713743Z  * [new tag]                 ciflow/trunk/160449         -> ciflow/trunk/160449
2025-08-14T21:22:34.1714918Z  * [new tag]                 ciflow/trunk/160454         -> ciflow/trunk/160454
2025-08-14T21:22:34.1715619Z  * [new tag]                 ciflow/trunk/160468         -> ciflow/trunk/160468
2025-08-14T21:22:34.1716410Z  * [new tag]                 ciflow/trunk/160481         -> ciflow/trunk/160481
2025-08-14T21:22:34.1717641Z  * [new tag]                 ciflow/trunk/160485         -> ciflow/trunk/160485
2025-08-14T21:22:34.1722731Z  * [new tag]                 ciflow/trunk/160519         -> ciflow/trunk/160519
2025-08-14T21:22:34.1723463Z  * [new tag]                 ciflow/trunk/160527         -> ciflow/trunk/160527
2025-08-14T21:22:34.1724467Z  * [new tag]                 ciflow/trunk/160560         -> ciflow/trunk/160560
2025-08-14T21:22:34.1725284Z  * [new tag]                 ciflow/trunk/160578         -> ciflow/trunk/160578
2025-08-14T21:22:34.1726056Z  * [new tag]                 ciflow/trunk/160589         -> ciflow/trunk/160589
2025-08-14T21:22:34.1726830Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T21:22:34.1727596Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T21:22:34.1728368Z  * [new tag]                 ciflow/trunk/160656         -> ciflow/trunk/160656
2025-08-14T21:22:34.1729599Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-08-14T21:22:34.1730456Z  * [new tag]                 ciflow/vllm/160116          -> ciflow/vllm/160116
2025-08-14T21:22:34.1731171Z  * [new tag]                 ciflow/vllm/160583          -> ciflow/vllm/160583
2025-08-14T21:22:34.1731924Z  * [new tag]                 ciflow/vllm/160619          -> ciflow/vllm/160619
2025-08-14T21:22:34.1732651Z  * [new tag]                 ciflow/vllm/160625          -> ciflow/vllm/160625
2025-08-14T21:22:34.1733357Z  * [new tag]                 ciflow/vllm/160627          -> ciflow/vllm/160627
2025-08-14T21:22:34.1734476Z  * [new tag]                 ciflow/win-arm64/156049     -> ciflow/win-arm64/156049
2025-08-14T21:22:34.1735057Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-08-14T21:22:34.1735778Z  * [new tag]                 ciflow/win-arm64/159553     -> ciflow/win-arm64/159553
2025-08-14T21:22:34.1736491Z  * [new tag]                 ciflow/win-arm64/159562     -> ciflow/win-arm64/159562
2025-08-14T21:22:34.1737516Z  * [new tag]                 ciflow/win-arm64/159777     -> ciflow/win-arm64/159777
2025-08-14T21:22:34.1738258Z  * [new tag]                 ciflow/win-arm64/159780     -> ciflow/win-arm64/159780
2025-08-14T21:22:34.1739071Z  * [new tag]                 ciflow/win-arm64/159842     -> ciflow/win-arm64/159842
2025-08-14T21:22:34.1739689Z  * [new tag]                 ciflow/win-arm64/160250     -> ciflow/win-arm64/160250
2025-08-14T21:22:34.1740382Z  * [new tag]                 ciflow/win-arm64/160253     -> ciflow/win-arm64/160253
2025-08-14T21:22:34.1741146Z  * [new tag]                 ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T21:22:34.1741864Z  * [new tag]                 ciflow/win-arm64/160560     -> ciflow/win-arm64/160560
2025-08-14T21:22:34.1742963Z  * [new tag]                 ciflow/xpu/138996           -> ciflow/xpu/138996
2025-08-14T21:22:34.1743873Z  * [new tag]                 ciflow/xpu/139971           -> ciflow/xpu/139971
2025-08-14T21:22:34.1744861Z  * [new tag]                 ciflow/xpu/140972           -> ciflow/xpu/140972
2025-08-14T21:22:34.1745696Z  * [new tag]                 ciflow/xpu/143553           -> ciflow/xpu/143553
2025-08-14T21:22:34.1746510Z  * [new tag]                 ciflow/xpu/156272           -> ciflow/xpu/156272
2025-08-14T21:22:34.1747273Z  * [new tag]                 ciflow/xpu/156812           -> ciflow/xpu/156812
2025-08-14T21:22:34.1748114Z  * [new tag]                 ciflow/xpu/157699           -> ciflow/xpu/157699
2025-08-14T21:22:34.1748879Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-08-14T21:22:34.1749676Z  * [new tag]                 ciflow/xpu/158336           -> ciflow/xpu/158336
2025-08-14T21:22:34.1750404Z  * [new tag]                 ciflow/xpu/158733           -> ciflow/xpu/158733
2025-08-14T21:22:34.1751209Z  * [new tag]                 ciflow/xpu/159033           -> ciflow/xpu/159033
2025-08-14T21:22:34.1752593Z  * [new tag]                 ciflow/xpu/159118           -> ciflow/xpu/159118
2025-08-14T21:22:34.1754270Z  * [new tag]                 ciflow/xpu/159140           -> ciflow/xpu/159140
2025-08-14T21:22:34.1755451Z  * [new tag]                 ciflow/xpu/159241           -> ciflow/xpu/159241
2025-08-14T21:22:34.1756310Z  * [new tag]                 ciflow/xpu/159473           -> ciflow/xpu/159473
2025-08-14T21:22:34.1757318Z  * [new tag]                 ciflow/xpu/159474           -> ciflow/xpu/159474
2025-08-14T21:22:34.1758066Z  * [new tag]                 ciflow/xpu/159553           -> ciflow/xpu/159553
2025-08-14T21:22:34.1758771Z  * [new tag]                 ciflow/xpu/159944           -> ciflow/xpu/159944
2025-08-14T21:22:34.1759779Z  * [new tag]                 ciflow/xpu/160062           -> ciflow/xpu/160062
2025-08-14T21:22:34.1760506Z  * [new tag]                 ciflow/xpu/160067           -> ciflow/xpu/160067
2025-08-14T21:22:34.1761516Z  * [new tag]                 ciflow/xpu/160158           -> ciflow/xpu/160158
2025-08-14T21:22:34.1762179Z  * [new tag]                 ciflow/xpu/160173           -> ciflow/xpu/160173
2025-08-14T21:22:34.1762914Z  * [new tag]                 ciflow/xpu/160183           -> ciflow/xpu/160183
2025-08-14T21:22:34.1763686Z  * [new tag]                 ciflow/xpu/160301           -> ciflow/xpu/160301
2025-08-14T21:22:34.1764427Z  * [new tag]                 ciflow/xpu/160403           -> ciflow/xpu/160403
2025-08-14T21:22:34.1765430Z  * [new tag]                 ciflow/xpu/160606           -> ciflow/xpu/160606
2025-08-14T21:22:34.1766349Z  * [new tag]                 cslpull75                   -> cslpull75
2025-08-14T21:22:34.1767285Z  * [new tag]                 cslpull76                   -> cslpull76
2025-08-14T21:22:34.1767960Z  * [new tag]                 cslpull77                   -> cslpull77
2025-08-14T21:22:34.1768784Z  * [new tag]                 cslpull78                   -> cslpull78
2025-08-14T21:22:34.1769928Z  * [new tag]                 cslpull79                   -> cslpull79
2025-08-14T21:22:34.1771100Z  * [new tag]                 cslpull80                   -> cslpull80
2025-08-14T21:22:34.1772094Z  * [new tag]                 cslpull81                   -> cslpull81
2025-08-14T21:22:34.1772802Z  * [new tag]                 cslpull82                   -> cslpull82
2025-08-14T21:22:34.1773759Z  * [new tag]                 cslpull83                   -> cslpull83
2025-08-14T21:22:34.1774556Z  * [new tag]                 cslpull84                   -> cslpull84
2025-08-14T21:22:34.1775450Z  * [new tag]                 cslpull85                   -> cslpull85
2025-08-14T21:22:34.1776395Z  * [new tag]                 cslpull86                   -> cslpull86
2025-08-14T21:22:34.1777400Z  * [new tag]                 cslpull87                   -> cslpull87
2025-08-14T21:22:34.1778319Z  * [new tag]                 cslpull88                   -> cslpull88
2025-08-14T21:22:34.1779174Z  * [new tag]                 cslpull89                   -> cslpull89
2025-08-14T21:22:34.1785016Z  * [new tag]                 cslpull90                   -> cslpull90
2025-08-14T21:22:34.1785197Z  * [new tag]                 cslpull91                   -> cslpull91
2025-08-14T21:22:34.1785372Z  * [new tag]                 cslpull92                   -> cslpull92
2025-08-14T21:22:34.1785558Z  * [new tag]                 flight_5                    -> flight_5
2025-08-14T21:22:34.1785734Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-08-14T21:22:34.1785914Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-08-14T21:22:34.1786400Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-08-14T21:22:34.1787416Z  * [new tag]                 forpull1                    -> forpull1
2025-08-14T21:22:34.1788517Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-08-14T21:22:34.1789401Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-08-14T21:22:34.1790395Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-08-14T21:22:34.1791310Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-08-14T21:22:34.1792063Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-08-14T21:22:34.1793128Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-08-14T21:22:34.1794705Z  * [new tag]                 trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6 -> trunk/01584d2a7d029c9749eb73678cf1dc313cc35df6
2025-08-14T21:22:34.1795556Z  * [new tag]                 trunk/017259f9c65b6fad55fb9597d7077e2543eaae46 -> trunk/017259f9c65b6fad55fb9597d7077e2543eaae46
2025-08-14T21:22:34.1796797Z  * [new tag]                 trunk/01bcf9a40dea937637d2cdd530bed2652510943d -> trunk/01bcf9a40dea937637d2cdd530bed2652510943d
2025-08-14T21:22:34.1798053Z  * [new tag]                 trunk/01f66d08d93365015f4af005a252f439c4d4013a -> trunk/01f66d08d93365015f4af005a252f439c4d4013a
2025-08-14T21:22:34.1798812Z  * [new tag]                 trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e -> trunk/03b254e49f2d4c092e6ca712e5702cf2895aa47e
2025-08-14T21:22:34.1799631Z  * [new tag]                 trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb -> trunk/05029ad1c30865d3f7e7fd13384db9d826e563eb
2025-08-14T21:22:34.1800614Z  * [new tag]                 trunk/05c19d1acecc01b0d2512364183058a6885b9869 -> trunk/05c19d1acecc01b0d2512364183058a6885b9869
2025-08-14T21:22:34.1802092Z  * [new tag]                 trunk/05c417715f791875fbf28cfc3fc86142de1a3206 -> trunk/05c417715f791875fbf28cfc3fc86142de1a3206
2025-08-14T21:22:34.1803012Z  * [new tag]                 trunk/06824f3c7268bb807a422b663047cd0900ddd126 -> trunk/06824f3c7268bb807a422b663047cd0900ddd126
2025-08-14T21:22:34.1803794Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T21:22:34.1804852Z  * [new tag]                 trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057 -> trunk/089c4a1ba007ed4abb3e5e0eafd97b7584566057
2025-08-14T21:22:34.1805819Z  * [new tag]                 trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1 -> trunk/09381f5dacda7bbbfa361f5df76bde5cd309adc1
2025-08-14T21:22:34.1806716Z  * [new tag]                 trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde -> trunk/0bd3af4fb87445f4de3a1f9b823e399c8b3cefde
2025-08-14T21:22:34.1807742Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
2025-08-14T21:22:34.1808662Z  * [new tag]                 trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81 -> trunk/0d40ff3b496e68193bc16d5391fa2e3623709f81
2025-08-14T21:22:34.1809637Z  * [new tag]                 trunk/0d71ca2c46753bb268bfdcf815c14415c122a289 -> trunk/0d71ca2c46753bb268bfdcf815c14415c122a289
2025-08-14T21:22:34.1810590Z  * [new tag]                 trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b -> trunk/0d88593dd826544c9e7bd4aa615ef86847a78d2b
2025-08-14T21:22:34.1811501Z  * [new tag]                 trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11 -> trunk/0e3e377bd5126cfcc69d70c4d77b352d3404cc11
2025-08-14T21:22:34.1812410Z  * [new tag]                 trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca -> trunk/0f3b10b8eebe68e3c75d473d499b87dfe14a2eca
2025-08-14T21:22:34.1813484Z  * [new tag]                 trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483 -> trunk/101276f81b4d2a8c31bfd6796b986d4c1bfdf483
2025-08-14T21:22:34.1814405Z  * [new tag]                 trunk/1028c5e2d50e121865bf98307e7c035f549a24b2 -> trunk/1028c5e2d50e121865bf98307e7c035f549a24b2
2025-08-14T21:22:34.1815376Z  * [new tag]                 trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e -> trunk/10bc36fe840cb3510fab84d2ea22663b76702f1e
2025-08-14T21:22:34.1816244Z  * [new tag]                 trunk/10e3514c962b58cbbee994257872a626ff76d51b -> trunk/10e3514c962b58cbbee994257872a626ff76d51b
2025-08-14T21:22:34.1817164Z  * [new tag]                 trunk/1128f4c2a822cbe34a9d966306af15097179ffe1 -> trunk/1128f4c2a822cbe34a9d966306af15097179ffe1
2025-08-14T21:22:34.1818100Z  * [new tag]                 trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e -> trunk/114a6c40434bfb9cfa5abc30e9e34d81300d743e
2025-08-14T21:22:34.1819107Z  * [new tag]                 trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76 -> trunk/118bc97b14c24ac88a4b0c0750a9e7bf93154c76
2025-08-14T21:22:34.1819907Z  * [new tag]                 trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91 -> trunk/1196bb1c2e4d5a7edc09f2260e3034132f0c6c91
2025-08-14T21:22:34.1820829Z  * [new tag]                 trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8 -> trunk/11a3565f1872bbad9c253a127e8d4ce7a1b40ec8
2025-08-14T21:22:34.1821812Z  * [new tag]                 trunk/15e49f61643e4c0eef420f0981609709ef55b848 -> trunk/15e49f61643e4c0eef420f0981609709ef55b848
2025-08-14T21:22:34.1822738Z  * [new tag]                 trunk/16d15445f8bd8740095b23de4af89d757af793ca -> trunk/16d15445f8bd8740095b23de4af89d757af793ca
2025-08-14T21:22:34.1823792Z  * [new tag]                 trunk/178515d0ff6833c8e9221482b2a650ab31e00019 -> trunk/178515d0ff6833c8e9221482b2a650ab31e00019
2025-08-14T21:22:34.1824934Z  * [new tag]                 trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe -> trunk/182efe31dbe43376e7eef7338356aaf94d5bcabe
2025-08-14T21:22:34.1825970Z  * [new tag]                 trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf -> trunk/194fcfcfbdad0add1a1b695321e31a576058f4cf
2025-08-14T21:22:34.1826911Z  * [new tag]                 trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca -> trunk/195b5c2e27eb8f21cbc8ad1e90f42db5a8cfccca
2025-08-14T21:22:34.1827892Z  * [new tag]                 trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014 -> trunk/198b5fd2d47fa3d5110ceba6827a3b18e0064014
2025-08-14T21:22:34.1828926Z  * [new tag]                 trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a -> trunk/199e9abb6a366bbd27c39d1da7c3123b4eea9b5a
2025-08-14T21:22:34.1829751Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T21:22:34.1831015Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T21:22:34.1831902Z  * [new tag]                 trunk/1c26c53851c212a7c90a325549a72f0571613a8c -> trunk/1c26c53851c212a7c90a325549a72f0571613a8c
2025-08-14T21:22:34.1832926Z  * [new tag]                 trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613 -> trunk/1c2cba17eab2b09d87142883da2bdbdbcf018613
2025-08-14T21:22:34.1833895Z  * [new tag]                 trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3 -> trunk/1d80d697a269234b47ec7ede192faf3bb9b159e3
2025-08-14T21:22:34.1834957Z  * [new tag]                 trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc -> trunk/1ea688f9a2602fbcde32c0302b822526ca4219dc
2025-08-14T21:22:34.1836002Z  * [new tag]                 trunk/1f4057c11ac941fb324386ca594d0a6882185aad -> trunk/1f4057c11ac941fb324386ca594d0a6882185aad
2025-08-14T21:22:34.1836903Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:22:34.1837716Z  * [new tag]                 trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65 -> trunk/1febab2a89302464f6c7d69cfbef7a24c421ea65
2025-08-14T21:22:34.1838771Z  * [new tag]                 trunk/206c1eef6571f906c2792d899a09136b3fce9673 -> trunk/206c1eef6571f906c2792d899a09136b3fce9673
2025-08-14T21:22:34.1839763Z  * [new tag]                 trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb -> trunk/20bdabbb3c5d6b118a94b2e045c777662563d5bb
2025-08-14T21:22:34.1840650Z  * [new tag]                 trunk/21392c0e06ac2b2621950455975ca6332f0bf641 -> trunk/21392c0e06ac2b2621950455975ca6332f0bf641
2025-08-14T21:22:34.1841418Z  * [new tag]                 trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6 -> trunk/2247aa6d1d43e256255f5c74a781c3190a4387b6
2025-08-14T21:22:34.1847097Z  * [new tag]                 trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d -> trunk/2259dbed4e0d3f2a8174b5847fd0741aed42451d
2025-08-14T21:22:34.1848469Z  * [new tag]                 trunk/231c72240d80091f099c95e326d3600cba866eee -> trunk/231c72240d80091f099c95e326d3600cba866eee
2025-08-14T21:22:34.1849237Z  * [new tag]                 trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c -> trunk/24257f5bfaa37795f74d9f64c1b43584128d4b8c
2025-08-14T21:22:34.1850848Z  * [new tag]                 trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd -> trunk/24f43d0da7ad9c6e95a09a2fee610387728cc1cd
2025-08-14T21:22:34.1851771Z  * [new tag]                 trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9 -> trunk/2898d3f965e5cd9d02fc2ecdab7c580fd457fea9
2025-08-14T21:22:34.1852690Z  * [new tag]                 trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227 -> trunk/28ccc9e7247798980fe00a11bcd64a8016b5f227
2025-08-14T21:22:34.1854017Z  * [new tag]                 trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72 -> trunk/29712314dd5cf500a8ea3d1c69483a3cb768ca72
2025-08-14T21:22:34.1855271Z  * [new tag]                 trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c -> trunk/29d20d49f0b7f4e362e1cefdcdc4b5659969312c
2025-08-14T21:22:34.1856140Z  * [new tag]                 trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31 -> trunk/2c5e10a5fceb208b11c3d569ae02e348b5893b31
2025-08-14T21:22:34.1856944Z  * [new tag]                 trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad -> trunk/2d0cdee394bccadcd0abe19dd4623ed978a331ad
2025-08-14T21:22:34.1857829Z  * [new tag]                 trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1 -> trunk/2e4e5ab4be9e0aeffd9c49b5b2f9f820bd0895b1
2025-08-14T21:22:34.1858816Z  * [new tag]                 trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51 -> trunk/2ea40fba841b3af8103f332ba62e54f350ba9a51
2025-08-14T21:22:34.1859712Z  * [new tag]                 trunk/2ee22e435131369a7e4f8cc4732579acc29a941b -> trunk/2ee22e435131369a7e4f8cc4732579acc29a941b
2025-08-14T21:22:34.1860526Z  * [new tag]                 trunk/2f4c2226175512af787725c4d5ad7313c60d4db1 -> trunk/2f4c2226175512af787725c4d5ad7313c60d4db1
2025-08-14T21:22:34.1861380Z  * [new tag]                 trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5 -> trunk/3008d985a8fc155eb89374afff50cb33a6bd10d5
2025-08-14T21:22:34.1862329Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T21:22:34.1863577Z  * [new tag]                 trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6 -> trunk/303c614f3df95ae2b659c5f6c1838b14e4776ce6
2025-08-14T21:22:34.1864982Z  * [new tag]                 trunk/305fa2239365ad17ac9c534a68bba8a149c42d67 -> trunk/305fa2239365ad17ac9c534a68bba8a149c42d67
2025-08-14T21:22:34.1865879Z  * [new tag]                 trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706 -> trunk/31c9ac4319c0cc2ed8c6be701c6ccf73f6cb4706
2025-08-14T21:22:34.1866820Z  * [new tag]                 trunk/32099961d588fc19ead8afe805d6b5108de75669 -> trunk/32099961d588fc19ead8afe805d6b5108de75669
2025-08-14T21:22:34.1867903Z  * [new tag]                 trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047 -> trunk/32e5e2f596d55bb9441d5d53f3c58bcb55828047
2025-08-14T21:22:34.1868770Z  * [new tag]                 trunk/334b38ccc4427b1d14981c48a3a0b92180d58225 -> trunk/334b38ccc4427b1d14981c48a3a0b92180d58225
2025-08-14T21:22:34.1870423Z  * [new tag]                 trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513 -> trunk/334ecbd4ffe11858cae7d23d1190ddb4777c2513
2025-08-14T21:22:34.1871301Z  * [new tag]                 trunk/33d94018668951611b318b7515ae96f04e48eac0 -> trunk/33d94018668951611b318b7515ae96f04e48eac0
2025-08-14T21:22:34.1872312Z  * [new tag]                 trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb -> trunk/34358f335d95213d96b6cca6a83e7bf3af6a9fcb
2025-08-14T21:22:34.1873306Z  * [new tag]                 trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673 -> trunk/34ec5ed275f8aa875c80daa97b3e82af0b06f673
2025-08-14T21:22:34.1874257Z  * [new tag]                 trunk/355462e1278d818deb9ef4a184073d5b66074816 -> trunk/355462e1278d818deb9ef4a184073d5b66074816
2025-08-14T21:22:34.1879670Z  * [new tag]                 trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919 -> trunk/3626ba711b34397d1fbf0a9b1979f85cbf68b919
2025-08-14T21:22:34.1880674Z  * [new tag]                 trunk/36f46d082a4954921cb8493223f000f2aab79ed7 -> trunk/36f46d082a4954921cb8493223f000f2aab79ed7
2025-08-14T21:22:34.1881664Z  * [new tag]                 trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2 -> trunk/39aa3d1471549b7829c207d634dfdc1d26e346a2
2025-08-14T21:22:34.1882854Z  * [new tag]                 trunk/3a562374401113187ce2566b87e3f1d87d7c53aa -> trunk/3a562374401113187ce2566b87e3f1d87d7c53aa
2025-08-14T21:22:34.1885218Z  * [new tag]                 trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae -> trunk/3ac86e728dfaa7383ff7f865e9e7d33486188dae
2025-08-14T21:22:34.1885666Z  * [new tag]                 trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08 -> trunk/3be70dc30e893b552fc0f23ca06cd8f7949b6d08
2025-08-14T21:22:34.1886123Z  * [new tag]                 trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0 -> trunk/3cec82a7e9aea040a34dd7a2587ae6d3bd65dba0
2025-08-14T21:22:34.1886918Z  * [new tag]                 trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2 -> trunk/3cf7b4024ef83e44e9ae223dbff7c7ab68240cb2
2025-08-14T21:22:34.1887404Z  * [new tag]                 trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f -> trunk/3ef2e1ef769582a82c6ddf150e9d11bf4bf1c44f
2025-08-14T21:22:34.1888180Z  * [new tag]                 trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0 -> trunk/3f1636ebef9b45e8a3cb0eb20d327ee6acb74be0
2025-08-14T21:22:34.1889016Z  * [new tag]                 trunk/3faee0a6318afcbbbb48687009a459214910d820 -> trunk/3faee0a6318afcbbbb48687009a459214910d820
2025-08-14T21:22:34.1890026Z  * [new tag]                 trunk/3fcd79e023da7156ac584992ebab29205d3b7881 -> trunk/3fcd79e023da7156ac584992ebab29205d3b7881
2025-08-14T21:22:34.1891032Z  * [new tag]                 trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6 -> trunk/3fe19a7a0af3f4d692af30476c320be18c7e8ae6
2025-08-14T21:22:34.1891978Z  * [new tag]                 trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23 -> trunk/41673110cd7c5960824cc74a6fcaeda1a8bc7a23
2025-08-14T21:22:34.1892905Z  * [new tag]                 trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60 -> trunk/4183d4ff3dcc1d87400326a9a7998c3f9e966f60
2025-08-14T21:22:34.1893829Z  * [new tag]                 trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d -> trunk/422bd6808bb98cbbac31d157d9c82ad11ba9732d
2025-08-14T21:22:34.1894783Z  * [new tag]                 trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f -> trunk/42e51cd4b3973a053fcfa80878a3f346fd158e9f
2025-08-14T21:22:34.1895769Z  * [new tag]                 trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3 -> trunk/4416433c7c625127b7f975c92f8ec98ea4c67fd3
2025-08-14T21:22:34.1896727Z  * [new tag]                 trunk/45ba7ecda876685b083cbbe932450560c566826b -> trunk/45ba7ecda876685b083cbbe932450560c566826b
2025-08-14T21:22:34.1898044Z  * [new tag]                 trunk/47a1db823dfcdacdb99f317428fc3791a18c5812 -> trunk/47a1db823dfcdacdb99f317428fc3791a18c5812
2025-08-14T21:22:34.1898771Z  * [new tag]                 trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee -> trunk/4a773e1e867f28a8ff0b15203e5cd9548f74fcee
2025-08-14T21:22:34.1899706Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T21:22:34.1900664Z  * [new tag]                 trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d -> trunk/4cde0acc0e4e795e1a12cbdd9b93c8c04c1fa05d
2025-08-14T21:22:34.1901621Z  * [new tag]                 trunk/4d419a74610c32b1372f8802dcc61893740a23cf -> trunk/4d419a74610c32b1372f8802dcc61893740a23cf
2025-08-14T21:22:34.1902585Z  * [new tag]                 trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235 -> trunk/4d5b3f2d5af7c8e4f41da4ffca53fafe8bb86235
2025-08-14T21:22:34.1909301Z  * [new tag]                 trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc -> trunk/4e2ddb5db67617f9f5309c8bba0c17adc84cadbc
2025-08-14T21:22:34.1910598Z  * [new tag]                 trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42 -> trunk/50a8c118754a6c5a46968f5c8e215ccba6831d42
2025-08-14T21:22:34.1911615Z  * [new tag]                 trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d -> trunk/50f23ff6f883db5021dd6bab4c146434f98dd15d
2025-08-14T21:22:34.1912538Z  * [new tag]                 trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa -> trunk/515cb70367e84fcbad23fcc5b39eb1d7706df2aa
2025-08-14T21:22:34.1913567Z  * [new tag]                 trunk/53e39494958b7e2278cc8176f63636e812e8945f -> trunk/53e39494958b7e2278cc8176f63636e812e8945f
2025-08-14T21:22:34.1914405Z  * [new tag]                 trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce -> trunk/556e2a73f4f0643f7c2aeb5c7dddda43388a40ce
2025-08-14T21:22:34.1915382Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T21:22:34.1916402Z  * [new tag]                 trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3 -> trunk/566c6d52ef1411c8262d7b9cf85e2044fdfbe1a3
2025-08-14T21:22:34.1917466Z  * [new tag]                 trunk/56c828bef93eada0e18d2cc013207831ca80cc99 -> trunk/56c828bef93eada0e18d2cc013207831ca80cc99
2025-08-14T21:22:34.1918466Z  * [new tag]                 trunk/5737372862253a0ac0292407a5844796f02380ad -> trunk/5737372862253a0ac0292407a5844796f02380ad
2025-08-14T21:22:34.1919401Z  * [new tag]                 trunk/57f738b6357cc8fcdde479a0948e723809a1a44d -> trunk/57f738b6357cc8fcdde479a0948e723809a1a44d
2025-08-14T21:22:34.1920328Z  * [new tag]                 trunk/5a40c5784482255b9baf14086cc4b9349fc6d512 -> trunk/5a40c5784482255b9baf14086cc4b9349fc6d512
2025-08-14T21:22:34.1921262Z  * [new tag]                 trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307 -> trunk/5a9c4cfce42b9eb87da0de40c5633f083115c307
2025-08-14T21:22:34.1922275Z  * [new tag]                 trunk/5ace061254af71aa83d1baae81aa1864c9746add -> trunk/5ace061254af71aa83d1baae81aa1864c9746add
2025-08-14T21:22:34.1923185Z  * [new tag]                 trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f -> trunk/5dddcd5b07c6644efca8d613f4eca1dc95daa87f
2025-08-14T21:22:34.1924176Z  * [new tag]                 trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf -> trunk/5ed4f9177907fe403ec4c4499d0d0e9be6b68fcf
2025-08-14T21:22:34.1925206Z  * [new tag]                 trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a -> trunk/5f1010fbb3850d99c8fdf9a9de2f79260cdc586a
2025-08-14T21:22:34.1926002Z  * [new tag]                 trunk/5f5f508aa836a46dfe88857fb223049616b94e93 -> trunk/5f5f508aa836a46dfe88857fb223049616b94e93
2025-08-14T21:22:34.1927027Z  * [new tag]                 trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca -> trunk/62bac0798100e0e06a86b7a4cee1788413e3d0ca
2025-08-14T21:22:34.1927950Z  * [new tag]                 trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc -> trunk/63654ba4c5178fd12220cfc9d1c878af2fdd07cc
2025-08-14T21:22:34.1928911Z  * [new tag]                 trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62 -> trunk/639778b3ee3b80e0894367fdc4442b58ae1b3a62
2025-08-14T21:22:34.1929840Z  * [new tag]                 trunk/641ee7478150f26969968f49d8b358e199679a8a -> trunk/641ee7478150f26969968f49d8b358e199679a8a
2025-08-14T21:22:34.1930784Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T21:22:34.1931719Z  * [new tag]                 trunk/652a6f5954d039d61dc6e6575ccf89d385d74537 -> trunk/652a6f5954d039d61dc6e6575ccf89d385d74537
2025-08-14T21:22:34.1932733Z  * [new tag]                 trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14 -> trunk/685f15dbea66e8ffa8564752f81ad2f6cb447a14
2025-08-14T21:22:34.1933589Z  * [new tag]                 trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c -> trunk/68a4b4b2e336cfd4451ce6546d900568e5ddf96c
2025-08-14T21:22:34.1934560Z  * [new tag]                 trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f -> trunk/69a0a9aa7f5e320a02e97fa789d2f72baff1554f
2025-08-14T21:22:34.1935549Z  * [new tag]                 trunk/6be6d06295c870c77a6eb69f96b3170d983520d5 -> trunk/6be6d06295c870c77a6eb69f96b3170d983520d5
2025-08-14T21:22:34.1936556Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T21:22:34.1937613Z  * [new tag]                 trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66 -> trunk/6da11d9aafc0d84dc7f66030c181608ff2614f66
2025-08-14T21:22:34.1938574Z  * [new tag]                 trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7 -> trunk/6e8865fbc161270e2ffc52817e6c667df417a3f7
2025-08-14T21:22:34.1939617Z  * [new tag]                 trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58 -> trunk/6ea8376f84232048d6be0f7b2edf82aec1b61d58
2025-08-14T21:22:34.1940573Z  * [new tag]                 trunk/6ee175195ac7853734d64704171993cc6265eb38 -> trunk/6ee175195ac7853734d64704171993cc6265eb38
2025-08-14T21:22:34.1941563Z  * [new tag]                 trunk/6f0f4e0c3eacd479864319127915f869f64e1935 -> trunk/6f0f4e0c3eacd479864319127915f869f64e1935
2025-08-14T21:22:34.1942913Z  * [new tag]                 trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8 -> trunk/70ccdec44b89e355a2cb03ba14a634284f7750f8
2025-08-14T21:22:34.1944198Z  * [new tag]                 trunk/72009ec6bebca7714f99c18449183787f202af4d -> trunk/72009ec6bebca7714f99c18449183787f202af4d
2025-08-14T21:22:34.1945226Z  * [new tag]                 trunk/731ee31f7b6ba19307daab323f6196172b71aaf8 -> trunk/731ee31f7b6ba19307daab323f6196172b71aaf8
2025-08-14T21:22:34.1946365Z  * [new tag]                 trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59 -> trunk/76a0609b6bddb2bc40f1eb4ade12885023653d59
2025-08-14T21:22:34.1947189Z  * [new tag]                 trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41 -> trunk/781e9a7724c47496e3d38a81e6dd6194cf098c41
2025-08-14T21:22:34.1948119Z  * [new tag]                 trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4 -> trunk/78a2fe1d42edeaa2ef7020b0fa0ac82ee4a640e4
2025-08-14T21:22:34.1949193Z  * [new tag]                 trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299 -> trunk/7a974a88f2c529a614baeabe4debd00fc8a3b299
2025-08-14T21:22:34.1950600Z  * [new tag]                 trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114 -> trunk/7ae0629d64b404e0ef5d9c931433ad25e65d6114
2025-08-14T21:22:34.1951657Z  * [new tag]                 trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef -> trunk/7d2ec704e47f4b740cdecda5534b305e8e1875ef
2025-08-14T21:22:34.1952653Z  * [new tag]                 trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac -> trunk/7d87e358ac8440f666fabbfd99058bb5342be6ac
2025-08-14T21:22:34.1953877Z  * [new tag]                 trunk/7e27347fd353928c99620495c8c531a5eba7d56b -> trunk/7e27347fd353928c99620495c8c531a5eba7d56b
2025-08-14T21:22:34.1955422Z  * [new tag]                 trunk/7e91394955721c77645fcdb75a5d47a255d65020 -> trunk/7e91394955721c77645fcdb75a5d47a255d65020
2025-08-14T21:22:34.1956449Z  * [new tag]                 trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001 -> trunk/7f4cb4a3e018a621add2a37a3a2f67b982d51001
2025-08-14T21:22:34.1957374Z  * [new tag]                 trunk/7fbc22855c17741ae016992803b2e147a13aa22d -> trunk/7fbc22855c17741ae016992803b2e147a13aa22d
2025-08-14T21:22:34.1958377Z  * [new tag]                 trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348 -> trunk/8047421fbb607d70ede13b9cd5a60b7b8bdfe348
2025-08-14T21:22:34.1959352Z  * [new tag]                 trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2 -> trunk/8088cfa592504a2897b4c78f8a46fe658ab5c2c2
2025-08-14T21:22:34.1960273Z  * [new tag]                 trunk/80cca8307943ba64168208b54028f55b2c71daff -> trunk/80cca8307943ba64168208b54028f55b2c71daff
2025-08-14T21:22:34.1961333Z  * [new tag]                 trunk/8147370733bbdcd034cad54e9212e51885a11892 -> trunk/8147370733bbdcd034cad54e9212e51885a11892
2025-08-14T21:22:34.1962347Z  * [new tag]                 trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26 -> trunk/83875cdb5594ccb3c9206b8eb5745fe1d011cf26
2025-08-14T21:22:34.1963247Z  * [new tag]                 trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654 -> trunk/8399cf88ce8399d2be93355f29d4cb69f51c0654
2025-08-14T21:22:34.1964270Z  * [new tag]                 trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f -> trunk/842cc77ab9aafd518593c2fce077d6abb42a5b7f
2025-08-14T21:22:34.1965269Z  * [new tag]                 trunk/85db508af533649d0b3447ff3f0d5fe083150c84 -> trunk/85db508af533649d0b3447ff3f0d5fe083150c84
2025-08-14T21:22:34.1966093Z  * [new tag]                 trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a -> trunk/86eb65f7f06016bcd5d7951dc9d74bc3993a827a
2025-08-14T21:22:34.1967183Z  * [new tag]                 trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367 -> trunk/87e6c4079d8ec7d04aff00ed82096b39836a8367
2025-08-14T21:22:34.1972779Z  * [new tag]                 trunk/89654db1abccf7e5f261989a150db4d1619ea2aa -> trunk/89654db1abccf7e5f261989a150db4d1619ea2aa
2025-08-14T21:22:34.1973219Z  * [new tag]                 trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1 -> trunk/8a37f0c90392a2c38b7c5955471fa49edcaf5cb1
2025-08-14T21:22:34.1973668Z  * [new tag]                 trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d -> trunk/8ab5868a2199fe485c2d66533b9244ccb97e487d
2025-08-14T21:22:34.1974100Z  * [new tag]                 trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6 -> trunk/8ae4d2652f64b8444b3d5314b9232bd2119bcde6
2025-08-14T21:22:34.1974540Z  * [new tag]                 trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0 -> trunk/8c41cb800ae0411f02ea5da34bd5ccc3790633b0
2025-08-14T21:22:34.1974995Z  * [new tag]                 trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4 -> trunk/8cb91e20bc205b1416648d0ffd98d1ba1f3a6fc4
2025-08-14T21:22:34.1975448Z  * [new tag]                 trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d -> trunk/8cfaf51d4e29c9bd9f49ecc98d955ed53df1a13d
2025-08-14T21:22:34.1975913Z  * [new tag]                 trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1 -> trunk/8d1cf529229dce7cd5ea04abb0faac83b87ca6d1
2025-08-14T21:22:34.1976453Z  * [new tag]                 trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347 -> trunk/8d3d1c844303cb1d46123a1caa76d4cf83973347
2025-08-14T21:22:34.1976904Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T21:22:34.1977760Z  * [new tag]                 trunk/8e6a3138581152ab827a0997f34c470271399f5e -> trunk/8e6a3138581152ab827a0997f34c470271399f5e
2025-08-14T21:22:34.1978727Z  * [new tag]                 trunk/8eee08d2279b98af2522debb6512d37e837e89e3 -> trunk/8eee08d2279b98af2522debb6512d37e837e89e3
2025-08-14T21:22:34.1979688Z  * [new tag]                 trunk/90b78ee50f73b5c963996076a3d54b74b1b965be -> trunk/90b78ee50f73b5c963996076a3d54b74b1b965be
2025-08-14T21:22:34.1980494Z  * [new tag]                 trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6 -> trunk/94b91a876327820a4bb6f5d39d156f13f2553ab6
2025-08-14T21:22:34.1981966Z  * [new tag]                 trunk/95210cc409dd578988c7116b47725c304dea54c7 -> trunk/95210cc409dd578988c7116b47725c304dea54c7
2025-08-14T21:22:34.1982727Z  * [new tag]                 trunk/96bd33b2de79598566df395f32e27c4d33673f05 -> trunk/96bd33b2de79598566df395f32e27c4d33673f05
2025-08-14T21:22:34.1984228Z  * [new tag]                 trunk/9708fcf92db88b80b9010c68662d634434da3106 -> trunk/9708fcf92db88b80b9010c68662d634434da3106
2025-08-14T21:22:34.1985166Z  * [new tag]                 trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8 -> trunk/97c8c98f8dcb9c5c188b691d156e0043dba6c7f8
2025-08-14T21:22:34.1986168Z  * [new tag]                 trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8 -> trunk/9903ca4f70bdc1653016256f5b4fd74fdfc609f8
2025-08-14T21:22:34.1987267Z  * [new tag]                 trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd -> trunk/99bc2f94c1955657e950ebdad5f77e518785ccbd
2025-08-14T21:22:34.1988132Z  * [new tag]                 trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd -> trunk/9a06e6d0310da9d8a59ae05e8ec9c0201b55cacd
2025-08-14T21:22:34.1989145Z  * [new tag]                 trunk/9a0f7a3bb01b235ea04581ee540970a098071b72 -> trunk/9a0f7a3bb01b235ea04581ee540970a098071b72
2025-08-14T21:22:34.1990200Z  * [new tag]                 trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8 -> trunk/9b803cdbe298009f08340c1aaccb25aafbca95d8
2025-08-14T21:22:34.1991519Z  * [new tag]                 trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df -> trunk/9ccd0f5e31ea54fcf42101dfbaacc103494e34df
2025-08-14T21:22:34.1992408Z  * [new tag]                 trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc -> trunk/9d37c960a4fc44d5ac334ca8bf775f85b95d76fc
2025-08-14T21:22:34.1993466Z  * [new tag]                 trunk/9e07673deb212c87b1c6fea23799a97474c476ed -> trunk/9e07673deb212c87b1c6fea23799a97474c476ed
2025-08-14T21:22:34.1994303Z  * [new tag]                 trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09 -> trunk/9eedd2a20b64302d0d116ea2802b50948d2ebb09
2025-08-14T21:22:34.1995414Z  * [new tag]                 trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674 -> trunk/9fa8ce26cf638504469852cbc3e7d04579fc8674
2025-08-14T21:22:34.1996474Z  * [new tag]                 trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715 -> trunk/a06ec54d40013c97fbffc174ea8f524ea5a95715
2025-08-14T21:22:34.1997419Z  * [new tag]                 trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69 -> trunk/a288b15ea9f87ddd665f249d492e0fb0861f5a69
2025-08-14T21:22:34.1998401Z  * [new tag]                 trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c -> trunk/a2fd106d670bb4990cebfd00f25ecbae4145e76c
2025-08-14T21:22:34.1999562Z  * [new tag]                 trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600 -> trunk/a354fa91e26b376d96385a2206c5ff5b42aa4600
2025-08-14T21:22:34.2000525Z  * [new tag]                 trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b -> trunk/a4f69a5da08eace1c1e6469dec6a18aa842da73b
2025-08-14T21:22:34.2001536Z  * [new tag]                 trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae -> trunk/a53d14d5f846ac44f6c205abb1c5bc4d2f3126ae
2025-08-14T21:22:34.2002574Z  * [new tag]                 trunk/a5652407e4f3d772fc44486ac2abf756decf0861 -> trunk/a5652407e4f3d772fc44486ac2abf756decf0861
2025-08-14T21:22:34.2003774Z  * [new tag]                 trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b -> trunk/a7abf57aabec0ce686092e2d66e53ba185dbc56b
2025-08-14T21:22:34.2004683Z  * [new tag]                 trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332 -> trunk/a84b60c0c4016785fd93b7b8a0c04f2d0770d332
2025-08-14T21:22:34.2005706Z  * [new tag]                 trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883 -> trunk/aa75e917bdb0f95bb6dee81853c2d3c4ab3e1883
2025-08-14T21:22:34.2006762Z  * [new tag]                 trunk/adcca7d9a1c053495e99012de801b2ea237faad0 -> trunk/adcca7d9a1c053495e99012de801b2ea237faad0
2025-08-14T21:22:34.2007696Z  * [new tag]                 trunk/af10f1f86cc4effc93142a447693d8be55966615 -> trunk/af10f1f86cc4effc93142a447693d8be55966615
2025-08-14T21:22:34.2009202Z  * [new tag]                 trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c -> trunk/af3cabc55d5699f4da528e1ca39d83338f84ae8c
2025-08-14T21:22:34.2010152Z  * [new tag]                 trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107 -> trunk/b0df7715e8c590c0001d1f9cdb97057be80c9107
2025-08-14T21:22:34.2011276Z  * [new tag]                 trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5 -> trunk/b149c7204c218e7c4d6594a89dd74f72bd480ec5
2025-08-14T21:22:34.2012168Z  * [new tag]                 trunk/b1a602762e6a6674b406a3137e7e7a678885a97b -> trunk/b1a602762e6a6674b406a3137e7e7a678885a97b
2025-08-14T21:22:34.2013130Z  * [new tag]                 trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc -> trunk/b1f43548cad8fc0e30bda250f6e196310fa7a4bc
2025-08-14T21:22:34.2014145Z  * [new tag]                 trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753 -> trunk/b219ca2a00a305753c4f1ea4c9c5d23243d54753
2025-08-14T21:22:34.2015245Z  * [new tag]                 trunk/b4596895b9d85a686c2cb978938b0a7797b3690a -> trunk/b4596895b9d85a686c2cb978938b0a7797b3690a
2025-08-14T21:22:34.2016268Z  * [new tag]                 trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02 -> trunk/b5fd7223b1bf44720dc9183bda7dfcf7aeccff02
2025-08-14T21:22:34.2017225Z  * [new tag]                 trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf -> trunk/b602ea9cab7d43a7ee7b4051227090f23fbd3dbf
2025-08-14T21:22:34.2018419Z  * [new tag]                 trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64 -> trunk/b6b74aed604bd2e96389ff99aaaf39abc64fdc64
2025-08-14T21:22:34.2019354Z  * [new tag]                 trunk/b7db86600a2614adc71c92ca42d359a7ac534d78 -> trunk/b7db86600a2614adc71c92ca42d359a7ac534d78
2025-08-14T21:22:34.2020283Z  * [new tag]                 trunk/b9003ed3d87699e81e436719625a21996a6654e5 -> trunk/b9003ed3d87699e81e436719625a21996a6654e5
2025-08-14T21:22:34.2021303Z  * [new tag]                 trunk/b90feeac86bda00afc2789321bcd706015ff44e3 -> trunk/b90feeac86bda00afc2789321bcd706015ff44e3
2025-08-14T21:22:34.2023022Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T21:22:34.2024255Z  * [new tag]                 trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4 -> trunk/ba47821f524eee50a214ed39fa2e7765d54aabf4
2025-08-14T21:22:34.2025251Z  * [new tag]                 trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491 -> trunk/ba4ccf5d67e3d237f435eacc2bce3c6025f08491
2025-08-14T21:22:34.2026433Z  * [new tag]                 trunk/bcf23ecc476df2bd7479f142567213e2623308ee -> trunk/bcf23ecc476df2bd7479f142567213e2623308ee
2025-08-14T21:22:34.2027414Z  * [new tag]                 trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff -> trunk/be53f609aaf6f01e2863f490975ea9eaac3ee9ff
2025-08-14T21:22:34.2028374Z  * [new tag]                 trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941 -> trunk/beb4d7816dedc67a5de1f82e5a45b5910f407941
2025-08-14T21:22:34.2029653Z  * [new tag]                 trunk/bfc873d02ec413344717493e4175a902921359fd -> trunk/bfc873d02ec413344717493e4175a902921359fd
2025-08-14T21:22:34.2035519Z  * [new tag]                 trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca -> trunk/c184cb3852f0ff2d16a489d61abc3739c309e6ca
2025-08-14T21:22:34.2035986Z  * [new tag]                 trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431 -> trunk/c24ca7f4bf79f62fd623d76346ca27e53f731431
2025-08-14T21:22:34.2036416Z  * [new tag]                 trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4 -> trunk/c3dc8dc4122977893004c49d10e4676cd0a97da4
2025-08-14T21:22:34.2036848Z  * [new tag]                 trunk/c5ec5458a547f7a774468ea0eb2258d3de596492 -> trunk/c5ec5458a547f7a774468ea0eb2258d3de596492
2025-08-14T21:22:34.2037296Z  * [new tag]                 trunk/c5efc5c8a66eca84865015058b3221013ebfe685 -> trunk/c5efc5c8a66eca84865015058b3221013ebfe685
2025-08-14T21:22:34.2037713Z  * [new tag]                 trunk/c6563341208003f64c131854a9cf029555f786d2 -> trunk/c6563341208003f64c131854a9cf029555f786d2
2025-08-14T21:22:34.2038168Z  * [new tag]                 trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e -> trunk/c6d78d4dbda53837d298d23a5fbc09af90a42d9e
2025-08-14T21:22:34.2038613Z  * [new tag]                 trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23 -> trunk/c8205cb35435f39d2c26f6c94b45e4adeb6dcb23
2025-08-14T21:22:34.2039073Z  * [new tag]                 trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5 -> trunk/c859ba7114b1fcb49527e090745fa17091d1f8d5
2025-08-14T21:22:34.2040133Z  * [new tag]                 trunk/c86040a8e68f754b90a84099187d3624954c7f36 -> trunk/c86040a8e68f754b90a84099187d3624954c7f36
2025-08-14T21:22:34.2041123Z  * [new tag]                 trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4 -> trunk/c9671dc865aa0fc1cb86df754e355b44d8e02bb4
2025-08-14T21:22:34.2042367Z  * [new tag]                 trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9 -> trunk/ca7315c17162ea21b1ca5ba23f4bf6168766c7b9
2025-08-14T21:22:34.2043214Z  * [new tag]                 trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff -> trunk/cae2b5e3d223829bdc553fc8601df4b1c1554cff
2025-08-14T21:22:34.2044253Z  * [new tag]                 trunk/cbffde774557752cf20447d42d99ec6102673c31 -> trunk/cbffde774557752cf20447d42d99ec6102673c31
2025-08-14T21:22:34.2045263Z  * [new tag]                 trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc -> trunk/cd8d8c18f5bafdc1c73d5ac0129e7b4d76ab45bc
2025-08-14T21:22:34.2046266Z  * [new tag]                 trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf -> trunk/cf0a0dcb0afa5e84b95461cc542f862b51ca96bf
2025-08-14T21:22:34.2047225Z  * [new tag]                 trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81 -> trunk/cf4964be68fa9f4ffc334f01cce42d7424b1cc81
2025-08-14T21:22:34.2048595Z  * [new tag]                 trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0 -> trunk/d0e2240f680ea2a553f7ee8188f52482e130bfd0
2025-08-14T21:22:34.2049615Z  * [new tag]                 trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2 -> trunk/d1950d4bb5cba8fb6b23e4d283eea5b9801737e2
2025-08-14T21:22:34.2050657Z  * [new tag]                 trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3 -> trunk/d20c4c20e61adecf00335c4d8c22eb1ace472cd3
2025-08-14T21:22:34.2051660Z  * [new tag]                 trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c -> trunk/d25c4f954d599ea512e2f70cd6df101c21479d4c
2025-08-14T21:22:34.2052641Z  * [new tag]                 trunk/d3d359dbafa89173a371e2637f22b47398e94a24 -> trunk/d3d359dbafa89173a371e2637f22b47398e94a24
2025-08-14T21:22:34.2054141Z  * [new tag]                 trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1 -> trunk/d46768db04499d07a5b0db984112a6d1b7d3b0c1
2025-08-14T21:22:34.2055581Z  * [new tag]                 trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f -> trunk/d4c1a08c89f37d249a0146ff511c82ecc5c53b8f
2025-08-14T21:22:34.2056596Z  * [new tag]                 trunk/d556586448f3caab85673c7da0978fe31c7748f7 -> trunk/d556586448f3caab85673c7da0978fe31c7748f7
2025-08-14T21:22:34.2057754Z  * [new tag]                 trunk/d670304001429a1a833255a918ed788d7ec4989a -> trunk/d670304001429a1a833255a918ed788d7ec4989a
2025-08-14T21:22:34.2059011Z  * [new tag]                 trunk/d6786741a77aba200c78002646cc069b7a1799b0 -> trunk/d6786741a77aba200c78002646cc069b7a1799b0
2025-08-14T21:22:34.2060386Z  * [new tag]                 trunk/d68c323692dedcbb74e670801e3502944fd790ff -> trunk/d68c323692dedcbb74e670801e3502944fd790ff
2025-08-14T21:22:34.2061258Z  * [new tag]                 trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c -> trunk/d8cb3db5339b45e4b745b2b883ef3ecde9843e2c
2025-08-14T21:22:34.2062056Z  * [new tag]                 trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd -> trunk/da1f608ca33f3062535d0a4866d95db19e72fcbd
2025-08-14T21:22:34.2062988Z  * [new tag]                 trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35 -> trunk/db0b7f1cc9bb3fe71aaf8b964a644147ae8e1c35
2025-08-14T21:22:34.2064285Z  * [new tag]                 trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4 -> trunk/db32b60662b2f2bdcad980127d5dc4b66b02a7e4
2025-08-14T21:22:34.2065313Z  * [new tag]                 trunk/db763b17175553ba09637362eb9773a91997a7ad -> trunk/db763b17175553ba09637362eb9773a91997a7ad
2025-08-14T21:22:34.2066384Z  * [new tag]                 trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f -> trunk/db78943a1ca13a32a3d6045eb15e2b719ee13a2f
2025-08-14T21:22:34.2067445Z  * [new tag]                 trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd -> trunk/dc0d18e023d9b7e314ebba0f234b6cb1579dbcfd
2025-08-14T21:22:34.2068461Z  * [new tag]                 trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8 -> trunk/dd21c8a578038ab2841a7ba809a06921093ac9d8
2025-08-14T21:22:34.2069522Z  * [new tag]                 trunk/deea71a90e05eb320c04bebfead5317746637f0d -> trunk/deea71a90e05eb320c04bebfead5317746637f0d
2025-08-14T21:22:34.2070530Z  * [new tag]                 trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948 -> trunk/df55ec7d4b35f6d21691e9dd41c82f27de762948
2025-08-14T21:22:34.2071523Z  * [new tag]                 trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df -> trunk/e1cf0d496ea85d1807c8c740f296e77bf7bdc1df
2025-08-14T21:22:34.2072571Z  * [new tag]                 trunk/e248719ac03c103767ab72034f6b9fd56855bf98 -> trunk/e248719ac03c103767ab72034f6b9fd56855bf98
2025-08-14T21:22:34.2073687Z  * [new tag]                 trunk/e49762026070f66be41bfa6537fbcf9bfc24e558 -> trunk/e49762026070f66be41bfa6537fbcf9bfc24e558
2025-08-14T21:22:34.2074871Z  * [new tag]                 trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168 -> trunk/e4de93f6a3e342bab34d3757cf90ec0ccc87e168
2025-08-14T21:22:34.2075763Z  * [new tag]                 trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f -> trunk/e619c6bb90b9dedaccd3cbeed86a288993a4e33f
2025-08-14T21:22:34.2076768Z  * [new tag]                 trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58 -> trunk/e63c2b21c186a7d2ab8a8953b8aa1535f2e96e58
2025-08-14T21:22:34.2078378Z  * [new tag]                 trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3 -> trunk/e7152ff8a6a929a0db7f3f4a72a5b6d471769cd3
2025-08-14T21:22:34.2079376Z  * [new tag]                 trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a -> trunk/e96c7c4bb0f6aeae2ab3b6f040f7d67edbec199a
2025-08-14T21:22:34.2080497Z  * [new tag]                 trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c -> trunk/e9eb2096a59a79e7a94c3e28a0715e040369f34c
2025-08-14T21:22:34.2081443Z  * [new tag]                 trunk/eac2d9d695a32dd456050f45cac35134ec3809f4 -> trunk/eac2d9d695a32dd456050f45cac35134ec3809f4
2025-08-14T21:22:34.2082443Z  * [new tag]                 trunk/ecde76c764752540edf9ef62a97936c86d984b17 -> trunk/ecde76c764752540edf9ef62a97936c86d984b17
2025-08-14T21:22:34.2083277Z  * [new tag]                 trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b -> trunk/ecea81117b2fdc52907c97b3c32d779e07b5d55b
2025-08-14T21:22:34.2084493Z  * [new tag]                 trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb -> trunk/edaa151d0d5a4e75fbec9843f49cc78770eb61fb
2025-08-14T21:22:34.2085514Z  * [new tag]                 trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2 -> trunk/ee1b0412b919dfb358d5a697b3be49621497fbc2
2025-08-14T21:22:34.2086554Z  * [new tag]                 trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e -> trunk/ee1fb43450c2e985657f95a91b68328d6f20f24e
2025-08-14T21:22:34.2087718Z  * [new tag]                 trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c -> trunk/ee89cc7a0acd69de25f98fe4ef828546db7b444c
2025-08-14T21:22:34.2088673Z  * [new tag]                 trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c -> trunk/ee9f8ba11d664b871a9e0c7933fdc8571635b78c
2025-08-14T21:22:34.2089874Z  * [new tag]                 trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76 -> trunk/eed9dbf70f43ee529fec78ac00ed9a4fd74c6e76
2025-08-14T21:22:34.2090776Z  * [new tag]                 trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94 -> trunk/f077c2402e4eb5b0ed562b4ee5b7a0503f26ef94
2025-08-14T21:22:34.2096770Z  * [new tag]                 trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35 -> trunk/f0980fc0bbd656d6c02d23ad97e945353b314f35
2025-08-14T21:22:34.2098032Z  * [new tag]                 trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640 -> trunk/f15ada5c6fad97a7dcbfa4673f067b6942dda640
2025-08-14T21:22:34.2099027Z  * [new tag]                 trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5 -> trunk/f27232a2134150cb5e55d26a74d8c36c6a961ca5
2025-08-14T21:22:34.2100025Z  * [new tag]                 trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc -> trunk/f33ce40bc062a281e1a1f57e8c1926d0a7d155cc
2025-08-14T21:22:34.2101192Z  * [new tag]                 trunk/f341077ce4710172da20cfad916ee37159bfe9fe -> trunk/f341077ce4710172da20cfad916ee37159bfe9fe
2025-08-14T21:22:34.2102099Z  * [new tag]                 trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7 -> trunk/f3a4d742ece08de4cb0e59dcc62e0093a7d0b0c7
2025-08-14T21:22:34.2103158Z  * [new tag]                 trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c -> trunk/f3f159ff8c4bad2edec99c68a941c628e983d04c
2025-08-14T21:22:34.2104428Z  * [new tag]                 trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457 -> trunk/f60454cce8b93e5bbf67f2f3c88c8ac01ed65457
2025-08-14T21:22:34.2105448Z  * [new tag]                 trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344 -> trunk/f7b2f3314cf7aede67d5fa5c75e4243208484344
2025-08-14T21:22:34.2106716Z  * [new tag]                 trunk/f8f0414a5983ff481a2188e0c18594150430c8c5 -> trunk/f8f0414a5983ff481a2188e0c18594150430c8c5
2025-08-14T21:22:34.2107599Z  * [new tag]                 trunk/f95b58c2844b3444cd8446fed8570729dc4216eb -> trunk/f95b58c2844b3444cd8446fed8570729dc4216eb
2025-08-14T21:22:34.2108616Z  * [new tag]                 trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d -> trunk/f990490a23815ea6ee27e487c70ba2cf513ba43d
2025-08-14T21:22:34.2109622Z  * [new tag]                 trunk/fb887c3bb588cfe782615e67f6c26db636b8539b -> trunk/fb887c3bb588cfe782615e67f6c26db636b8539b
2025-08-14T21:22:34.2111551Z  * [new tag]                 trunk/fc25c68f20f772290927a7031b998b92615259cf -> trunk/fc25c68f20f772290927a7031b998b92615259cf
2025-08-14T21:22:34.2112544Z  * [new tag]                 trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb -> trunk/fc80f6859e0ccf66513a40f04b9e735e759d4ddb
2025-08-14T21:22:34.2113842Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T21:22:34.2114807Z  * [new tag]                 trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08 -> trunk/fe3f5fe4ea2ff6f56406dc5d954636ebb08d0a08
2025-08-14T21:22:34.2115761Z  * [new tag]                 trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab -> trunk/fea7e9dd37c02c334b130f6624af6163fde6b2ab
2025-08-14T21:22:34.2116604Z  * [new tag]                 trunk/ff0d56d03592aa03f3ced8359241d21df1783393 -> trunk/ff0d56d03592aa03f3ced8359241d21df1783393
2025-08-14T21:22:34.2117313Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-08-14T21:22:34.2118268Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-08-14T21:22:34.2119091Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-08-14T21:22:34.2119999Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-08-14T21:22:34.2120779Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-08-14T21:22:34.2121596Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-08-14T21:22:34.2122683Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-08-14T21:22:34.2123435Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-08-14T21:22:34.2124371Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-08-14T21:22:34.2125187Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-08-14T21:22:34.2125976Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-08-14T21:22:34.2127290Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-08-14T21:22:34.2128204Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-08-14T21:22:34.2129116Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-08-14T21:22:34.2130090Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-08-14T21:22:34.2131070Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-08-14T21:22:34.2131803Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-08-14T21:22:34.2132716Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-08-14T21:22:34.2133654Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-08-14T21:22:34.2134567Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-08-14T21:22:34.2135493Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-08-14T21:22:34.2136142Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-08-14T21:22:34.2137072Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-08-14T21:22:34.2138015Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-08-14T21:22:34.2139156Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-08-14T21:22:34.2140134Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-08-14T21:22:34.2141076Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-08-14T21:22:34.2141717Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-08-14T21:22:34.2142734Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-08-14T21:22:34.2143762Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-08-14T21:22:34.2144472Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-08-14T21:22:34.2145254Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-08-14T21:22:34.2146250Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-08-14T21:22:34.2147282Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-08-14T21:22:34.2148336Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-08-14T21:22:34.2149339Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-08-14T21:22:34.2150389Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-08-14T21:22:34.2151374Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-08-14T21:22:34.2152192Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-08-14T21:22:34.2152902Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-08-14T21:22:34.2159842Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-08-14T21:22:34.2162717Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-08-14T21:22:34.2165089Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-08-14T21:22:34.2167175Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-08-14T21:22:34.2168228Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-08-14T21:22:34.2169154Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-08-14T21:22:34.2170105Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-08-14T21:22:34.2170743Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-08-14T21:22:34.2171639Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-08-14T21:22:34.2172225Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-08-14T21:22:34.2173313Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-08-14T21:22:34.2174292Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-08-14T21:22:34.2175309Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-08-14T21:22:34.2176312Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-08-14T21:22:34.2176835Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-08-14T21:22:34.2177920Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-08-14T21:22:34.2178839Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-08-14T21:22:34.2179749Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-08-14T21:22:34.2180561Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-08-14T21:22:34.2181754Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-08-14T21:22:34.2182476Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-08-14T21:22:34.2183312Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-08-14T21:22:34.2184516Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-08-14T21:22:34.2185235Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-08-14T21:22:34.2186225Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-08-14T21:22:34.2187153Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-08-14T21:22:34.2188098Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-08-14T21:22:34.2189079Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-08-14T21:22:34.2189783Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-08-14T21:22:34.2190673Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-08-14T21:22:34.2191767Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-08-14T21:22:34.2192671Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-08-14T21:22:34.2193491Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-08-14T21:22:34.2194676Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-08-14T21:22:34.2195632Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-08-14T21:22:34.2197076Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-08-14T21:22:34.2197886Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-08-14T21:22:34.2198585Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-08-14T21:22:34.2199627Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-08-14T21:22:34.2200345Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-08-14T21:22:34.2201054Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-08-14T21:22:34.2202028Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-08-14T21:22:34.2203052Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-08-14T21:22:34.2203994Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-08-14T21:22:34.2204948Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-08-14T21:22:34.2205901Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-08-14T21:22:34.2206730Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-08-14T21:22:34.2207466Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-08-14T21:22:34.2208497Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-08-14T21:22:34.2209572Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-08-14T21:22:34.2210386Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-08-14T21:22:34.2211348Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-08-14T21:22:34.2212094Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-08-14T21:22:34.2213007Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-08-14T21:22:34.2214096Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-08-14T21:22:34.2215219Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-08-14T21:22:34.2215991Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-08-14T21:22:34.2217253Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-08-14T21:22:34.2222641Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-08-14T21:22:34.2222912Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-08-14T21:22:34.2223098Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-08-14T21:22:34.2223267Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-08-14T21:22:34.2223439Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-08-14T21:22:34.2223777Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-08-14T21:22:34.2223959Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-08-14T21:22:34.2224339Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-08-14T21:22:34.2225103Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-08-14T21:22:34.2226684Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-08-14T21:22:34.2227394Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-08-14T21:22:34.2228429Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-08-14T21:22:34.2229476Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-08-14T21:22:34.2230383Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-08-14T21:22:34.2231421Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-08-14T21:22:34.2232183Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-08-14T21:22:34.2233142Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-08-14T21:22:34.2234352Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-08-14T21:22:34.2235183Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-08-14T21:22:34.2236217Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-08-14T21:22:34.2237054Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-08-14T21:22:34.2238091Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-08-14T21:22:34.2239084Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-08-14T21:22:34.2240031Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-08-14T21:22:34.2240932Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-08-14T21:22:34.2241624Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-08-14T21:22:34.2242681Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-08-14T21:22:34.2243661Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-08-14T21:22:34.2244374Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-08-14T21:22:34.2245191Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-08-14T21:22:34.2245896Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-08-14T21:22:34.2247448Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-08-14T21:22:34.2248369Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-08-14T21:22:34.2249359Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-08-14T21:22:34.2250337Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-08-14T21:22:34.2251297Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-08-14T21:22:34.2252394Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-08-14T21:22:34.2253024Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-08-14T21:22:34.2254710Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-08-14T21:22:34.2255539Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-08-14T21:22:34.2256495Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-08-14T21:22:34.2258050Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-08-14T21:22:34.2259056Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-08-14T21:22:34.2259994Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-08-14T21:22:34.2260709Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-08-14T21:22:34.2261682Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-08-14T21:22:34.2262630Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-08-14T21:22:34.2264052Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-08-14T21:22:34.2264805Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-08-14T21:22:34.2265848Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-08-14T21:22:34.2266847Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-08-14T21:22:34.2267703Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-08-14T21:22:34.2268687Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-08-14T21:22:34.2269623Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-08-14T21:22:34.2270474Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-08-14T21:22:34.2271526Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-08-14T21:22:34.2272193Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-08-14T21:22:34.2272973Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-08-14T21:22:34.2274031Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-08-14T21:22:34.2275135Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-08-14T21:22:34.2275894Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-08-14T21:22:34.2276587Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-08-14T21:22:34.2277276Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-08-14T21:22:34.2278381Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-08-14T21:22:34.2279178Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-08-14T21:22:34.2280160Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-08-14T21:22:34.2281097Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-08-14T21:22:34.2282033Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-08-14T21:22:34.2283090Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-08-14T21:22:34.2284163Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-08-14T21:22:34.2284821Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-08-14T21:22:34.2285811Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-08-14T21:22:34.2286821Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-08-14T21:22:34.2287747Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-08-14T21:22:34.2288791Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-08-14T21:22:34.2289395Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-08-14T21:22:34.2290371Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-08-14T21:22:34.2291312Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-08-14T21:22:34.2291951Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-08-14T21:22:34.2292702Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-08-14T21:22:34.2293670Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-08-14T21:22:34.2294626Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-08-14T21:22:34.2295609Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-08-14T21:22:34.2296584Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-08-14T21:22:34.2297559Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-08-14T21:22:34.2298505Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-08-14T21:22:34.2299437Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-08-14T21:22:34.2300339Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-08-14T21:22:34.2301394Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-08-14T21:22:34.2302340Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-08-14T21:22:34.2303648Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-08-14T21:22:34.2304607Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-08-14T21:22:34.2305615Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-08-14T21:22:34.2306364Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-08-14T21:22:34.2307449Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-08-14T21:22:34.2308472Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-08-14T21:22:34.2309595Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-08-14T21:22:34.2310584Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-08-14T21:22:34.2311553Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-08-14T21:22:34.2312282Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-08-14T21:22:34.2313417Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-08-14T21:22:34.2314378Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-08-14T21:22:34.2315493Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-08-14T21:22:34.2316509Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-08-14T21:22:34.2317514Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-08-14T21:22:34.2318951Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-08-14T21:22:34.2319917Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-08-14T21:22:34.2320871Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-08-14T21:22:34.2321564Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-08-14T21:22:34.2322283Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-08-14T21:22:34.2323017Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-08-14T21:22:34.2324088Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-08-14T21:22:34.2325149Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-08-14T21:22:34.2326129Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-08-14T21:22:34.2327110Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-08-14T21:22:34.2328406Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-08-14T21:22:34.2329374Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-08-14T21:22:34.2330386Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-08-14T21:22:34.2331439Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-08-14T21:22:34.2332454Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-08-14T21:22:34.2333583Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-08-14T21:22:34.2334564Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-08-14T21:22:34.2335289Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-08-14T21:22:34.2336376Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-08-14T21:22:34.2337392Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-08-14T21:22:34.2338371Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-08-14T21:22:34.2339291Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-08-14T21:22:34.2340273Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-08-14T21:22:34.2341247Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-08-14T21:22:34.2349005Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-08-14T21:22:34.2351656Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-08-14T21:22:34.2354372Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-08-14T21:22:34.2357207Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-08-14T21:22:34.2358181Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-08-14T21:22:34.2359255Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-08-14T21:22:34.2360319Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-08-14T21:22:34.2361204Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-08-14T21:22:34.2361980Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-08-14T21:22:34.2363026Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-08-14T21:22:34.2364055Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-08-14T21:22:34.2365114Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-08-14T21:22:34.2366123Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-08-14T21:22:34.2367151Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-08-14T21:22:34.2368344Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-08-14T21:22:34.2369344Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-08-14T21:22:34.2370374Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-08-14T21:22:34.2371322Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-08-14T21:22:34.2372013Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-08-14T21:22:34.2373040Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-08-14T21:22:34.3145667Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T21:22:34.3178823Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:22:34.3181312Z ##[endgroup]
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2025-08-14T21:22:34.3182752Z ##[endgroup]
2025-08-14T21:22:34.3187054Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T21:22:34.3238112Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
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2025-08-14T21:22:34.3270641Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
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2025-08-14T21:22:35.7999698Z Updating files: 100% (19474/19474), done.
2025-08-14T21:22:35.8299763Z Note: switching to '1fc683cf17c8c673044538d10266c00f92987be2'.
2025-08-14T21:22:35.8300166Z 
2025-08-14T21:22:35.8300453Z You are in 'detached HEAD' state. You can look around, make experimental
2025-08-14T21:22:35.8301090Z changes and commit them, and you can discard any commits you make in this
2025-08-14T21:22:35.8301741Z state without impacting any branches by switching back to a branch.
2025-08-14T21:22:35.8302116Z 
2025-08-14T21:22:35.8302414Z If you want to create a new branch to retain commits you create, you may
2025-08-14T21:22:35.8303626Z do so (now or later) by using -c with the switch command. Example:
2025-08-14T21:22:35.8303989Z 
2025-08-14T21:22:35.8304130Z   git switch -c <new-branch-name>
2025-08-14T21:22:35.8304383Z 
2025-08-14T21:22:35.8304519Z Or undo this operation with:
2025-08-14T21:22:35.8304738Z 
2025-08-14T21:22:35.8304865Z   git switch -
2025-08-14T21:22:35.8305028Z 
2025-08-14T21:22:35.8305315Z Turn off this advice by setting config variable advice.detachedHead to false
2025-08-14T21:22:35.8305746Z 
2025-08-14T21:22:35.8306223Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T21:22:35.8379716Z ##[endgroup]
2025-08-14T21:22:35.8380400Z ##[group]Setting up auth for fetching submodules
2025-08-14T21:22:35.8385283Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T21:22:35.8430520Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T21:22:35.8460796Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T21:22:35.8496852Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T21:22:35.8523981Z ##[endgroup]
2025-08-14T21:22:35.8524450Z ##[group]Fetching submodules
2025-08-14T21:22:35.8529155Z [command]/usr/bin/git submodule sync --recursive
2025-08-14T21:22:35.8898356Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T21:22:35.9271885Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2025-08-14T21:22:35.9274279Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2025-08-14T21:22:35.9278499Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-08-14T21:22:35.9282040Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-08-14T21:22:35.9285701Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-08-14T21:22:35.9290232Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-08-14T21:22:35.9293467Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-08-14T21:22:35.9297707Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-08-14T21:22:35.9301591Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-08-14T21:22:35.9306281Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-08-14T21:22:35.9310524Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-08-14T21:22:35.9315024Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-08-14T21:22:35.9319645Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-08-14T21:22:35.9324069Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-08-14T21:22:35.9328718Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
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2025-08-14T21:22:35.9341864Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2025-08-14T21:22:35.9347503Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-08-14T21:22:35.9930562Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:22:35.9933639Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-08-14T21:22:35.9938954Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2025-08-14T21:22:35.9944675Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2025-08-14T21:22:35.9950235Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-08-14T21:22:35.9956891Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-08-14T21:22:35.9962531Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
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2025-08-14T21:22:35.9980301Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2025-08-14T21:22:35.9987136Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp'
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2025-08-14T21:22:36.0006163Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2025-08-14T21:22:36.0012691Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
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2025-08-14T21:22:36.0035953Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2025-08-14T21:22:36.0042695Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2025-08-14T21:22:36.0079489Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2025-08-14T21:22:36.2374018Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2025-08-14T21:22:36.2375615Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2025-08-14T21:22:36.2377392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'...
2025-08-14T21:22:36.2650892Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
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2025-08-14T21:22:36.6406887Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
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2025-08-14T21:22:36.6411941Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
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2025-08-14T21:22:38.2124479Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-08-14T21:22:38.2126266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
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2025-08-14T21:22:38.2129925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
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2025-08-14T21:22:50.3206159Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-08-14T21:22:50.3207062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
2025-08-14T21:22:50.3207915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'...
2025-08-14T21:22:50.3208739Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'...
2025-08-14T21:22:50.3209546Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'...
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2025-08-14T21:22:50.3212178Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'...
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2025-08-14T21:22:50.3409959Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T21:22:50.3583225Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
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2025-08-14T21:22:50.4017435Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T21:22:50.4927953Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T21:22:50.5586068Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T21:22:51.4245189Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T21:22:51.6012547Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T21:22:51.6037243Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
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2025-08-14T21:22:54.9489949Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T21:22:54.9771653Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T21:22:55.3552482Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
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2025-08-14T21:22:55.5331069Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
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2025-08-14T21:22:56.3356940Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
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2025-08-14T21:22:56.5038024Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-08-14T21:22:56.5039685Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:22:56.5041559Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:22:56.5044616Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
2025-08-14T21:22:56.5048271Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest'
2025-08-14T21:22:56.5051757Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:22:56.5055778Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
2025-08-14T21:22:56.5097603Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'...
2025-08-14T21:22:57.7788102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-08-14T21:22:57.7789229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-08-14T21:22:57.7790256Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-08-14T21:22:57.7791345Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-08-14T21:22:57.8789271Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-08-14T21:22:58.7900149Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-08-14T21:23:03.8890309Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T21:23:04.2003727Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T21:23:04.3162602Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T21:23:05.0393336Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T21:23:05.0942911Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:23:05.1091123Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T21:23:05.2300936Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T21:23:05.3114869Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T21:23:05.3137163Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:23:05.3138886Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:23:05.3177807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-08-14T21:23:08.3657997Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-08-14T21:23:08.6546631Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T21:23:09.3347870Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T21:23:09.5043410Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T21:23:09.5458998Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T21:23:09.5937197Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T21:23:09.6245101Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T21:23:09.6780017Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T21:23:09.6929201Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T21:23:09.6947874Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-08-14T21:23:09.6985033Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-08-14T21:23:21.0495287Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T21:23:21.0757078Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T21:23:21.1785175Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T21:23:21.1807796Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:23:21.1809277Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:23:21.1810841Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:23:21.1844652Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-08-14T21:23:22.1789278Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-08-14T21:23:22.6533730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-08-14T21:23:22.7517069Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T21:23:22.7540171Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:23:22.7541615Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:23:22.7544305Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:23:22.7547425Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:23:22.7550735Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:23:22.7554974Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:23:22.7558611Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:23:22.7562111Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:23:22.7605398Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-08-14T21:23:24.0685482Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-08-14T21:23:24.0687116Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-08-14T21:23:24.0688464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-08-14T21:23:24.0689766Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-08-14T21:23:24.0691111Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-08-14T21:23:24.0692444Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-08-14T21:23:24.1686898Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-08-14T21:23:31.0229201Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T21:23:31.0450280Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T21:23:31.0874041Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T21:23:31.1144055Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T21:23:31.1161946Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:23:31.1199141Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-08-14T21:23:31.4423790Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T21:23:31.4661974Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T21:23:31.5145712Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T21:23:31.6295512Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T21:23:31.6509203Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T21:23:31.6920214Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T21:23:31.7617462Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T21:23:31.8159884Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T21:23:31.8608892Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T21:23:31.9892698Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T21:23:32.4664896Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T21:23:32.4706841Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-08-14T21:23:32.4739418Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-08-14T21:23:33.5131130Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:23:33.5954388Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T21:23:33.5977488Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:23:33.5986179Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:23:33.5987685Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:23:33.5989164Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:23:33.5990776Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:23:33.5992563Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:23:33.5994238Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:23:33.6005954Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:23:33.6039316Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-08-14T21:23:34.0173357Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-08-14T21:23:34.0174907Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-08-14T21:23:34.0176559Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-08-14T21:23:34.0178277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-08-14T21:23:34.1175053Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-08-14T21:23:34.6979332Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-08-14T21:23:42.7879516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-08-14T21:23:42.8121945Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-14T21:23:42.8637212Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-14T21:23:42.8839138Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-14T21:23:43.0093771Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-14T21:23:43.0269038Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-14T21:23:43.0455279Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-14T21:23:43.0649659Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-14T21:23:43.0673018Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:23:43.0674967Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:23:43.0705461Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-08-14T21:23:44.8163329Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-08-14T21:23:45.1060853Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-14T21:23:45.1644153Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-14T21:23:45.7238516Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-14T21:23:45.7395387Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-14T21:23:46.0624916Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-14T21:23:46.0650971Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:23:46.0652371Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-08-14T21:23:46.0686592Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
2025-08-14T21:23:46.6612496Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/googletest'...
2025-08-14T21:23:47.0384685Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-14T21:23:47.1222879Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-14T21:23:47.1357154Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-14T21:23:47.1523707Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-14T21:23:47.1973053Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T21:23:47.2320979Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-14T21:23:47.2826238Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
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2025-08-14T21:23:49.3992872Z ##[endgroup]
2025-08-14T21:23:49.3993448Z ##[group]Persisting credentials for submodules
2025-08-14T21:23:49.3998149Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-08-14T21:23:49.9781100Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:23:49.9870592Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-08-14T21:23:50.0218919Z Entering 'android/libs/fbjni'
2025-08-14T21:23:50.0291502Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-14T21:23:50.0308298Z Entering 'third_party/FP16'
2025-08-14T21:23:50.0369615Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
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2025-08-14T21:23:50.0445555Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2025-08-14T21:23:50.9259780Z Entering 'third_party/fmt'
2025-08-14T21:23:50.9307903Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:23:50.9361657Z Entering 'third_party/gloo'
2025-08-14T21:23:50.9416514Z Entering 'third_party/googletest'
2025-08-14T21:23:50.9465162Z Entering 'third_party/ideep'
2025-08-14T21:23:50.9512690Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T21:23:50.9572742Z Entering 'third_party/ittapi'
2025-08-14T21:23:50.9629784Z Entering 'third_party/kineto'
2025-08-14T21:23:50.9686337Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:23:50.9730907Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:23:50.9784053Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:23:50.9831066Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:23:50.9886817Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:23:50.9934046Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:23:50.9983504Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:23:51.0032179Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:23:51.0085821Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:23:51.0136253Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:23:51.0192622Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:23:51.0251247Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:23:51.0305332Z Entering 'third_party/kleidiai'
2025-08-14T21:23:51.0355576Z Entering 'third_party/mimalloc'
2025-08-14T21:23:51.0407959Z Entering 'third_party/nlohmann'
2025-08-14T21:23:51.0464093Z Entering 'third_party/onnx'
2025-08-14T21:23:51.0539478Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:23:51.0601781Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:23:51.0652539Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:23:51.0706314Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:23:51.0761641Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:23:51.0810511Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:23:51.0859895Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:23:51.0910820Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:23:51.0952965Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:23:51.1005767Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:23:51.1059571Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:23:51.1120566Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:23:51.1188651Z Entering 'third_party/pocketfft'
2025-08-14T21:23:51.1243656Z Entering 'third_party/protobuf'
2025-08-14T21:23:51.1295877Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:23:51.1350299Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:23:51.1403935Z Entering 'third_party/psimd'
2025-08-14T21:23:51.1450335Z Entering 'third_party/pthreadpool'
2025-08-14T21:23:51.1506110Z Entering 'third_party/pybind11'
2025-08-14T21:23:51.1557496Z Entering 'third_party/python-peachpy'
2025-08-14T21:23:51.1616310Z Entering 'third_party/sleef'
2025-08-14T21:23:51.1664911Z Entering 'third_party/tensorpipe'
2025-08-14T21:23:51.1712883Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:23:51.1776096Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:23:51.1825271Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:23:51.1882038Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:23:51.1930806Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:23:51.2010773Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-08-14T21:23:51.2401308Z Entering 'android/libs/fbjni'
2025-08-14T21:23:51.2455244Z Entering 'third_party/FP16'
2025-08-14T21:23:51.2505623Z Entering 'third_party/FXdiv'
2025-08-14T21:23:51.2564417Z Entering 'third_party/NNPACK'
2025-08-14T21:23:51.2624259Z Entering 'third_party/NVTX'
2025-08-14T21:23:51.2680683Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T21:23:51.2730884Z Entering 'third_party/XNNPACK'
2025-08-14T21:23:51.2797091Z Entering 'third_party/aiter'
2025-08-14T21:23:51.2850257Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T21:23:51.2911677Z Entering 'third_party/benchmark'
2025-08-14T21:23:51.2957575Z Entering 'third_party/composable_kernel'
2025-08-14T21:23:51.3025916Z Entering 'third_party/cpp-httplib'
2025-08-14T21:23:51.3073841Z Entering 'third_party/cpuinfo'
2025-08-14T21:23:51.3125007Z Entering 'third_party/cudnn_frontend'
2025-08-14T21:23:51.3173569Z Entering 'third_party/cutlass'
2025-08-14T21:23:51.3237681Z Entering 'third_party/fbgemm'
2025-08-14T21:23:51.3290999Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T21:23:51.3340491Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T21:23:51.3394034Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T21:23:51.3450903Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T21:23:51.3510100Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T21:23:51.3556795Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T21:23:51.3606190Z Entering 'third_party/fbgemm/external/json'
2025-08-14T21:23:51.3664006Z Entering 'third_party/flash-attention'
2025-08-14T21:23:51.3712736Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T21:23:51.3770899Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T21:23:51.3841751Z Entering 'third_party/flatbuffers'
2025-08-14T21:23:51.3899810Z Entering 'third_party/fmt'
2025-08-14T21:23:51.3947609Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T21:23:51.4004167Z Entering 'third_party/gloo'
2025-08-14T21:23:51.4055431Z Entering 'third_party/googletest'
2025-08-14T21:23:51.4106210Z Entering 'third_party/ideep'
2025-08-14T21:23:51.4152365Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T21:23:51.4211327Z Entering 'third_party/ittapi'
2025-08-14T21:23:51.4259749Z Entering 'third_party/kineto'
2025-08-14T21:23:51.4320092Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T21:23:51.4365377Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T21:23:51.4413269Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T21:23:51.4473609Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T21:23:51.4527290Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T21:23:51.4577347Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T21:23:51.4625561Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T21:23:51.4672958Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T21:23:51.4727528Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T21:23:51.4779896Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T21:23:51.4832491Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T21:23:51.4882268Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T21:23:51.4936643Z Entering 'third_party/kleidiai'
2025-08-14T21:23:51.4990232Z Entering 'third_party/mimalloc'
2025-08-14T21:23:51.5046564Z Entering 'third_party/nlohmann'
2025-08-14T21:23:51.5103198Z Entering 'third_party/onnx'
2025-08-14T21:23:51.5175346Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T21:23:51.5227785Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T21:23:51.5279729Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T21:23:51.5331383Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T21:23:51.5384513Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T21:23:51.5440992Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T21:23:51.5488622Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T21:23:51.5538373Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T21:23:51.5589613Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T21:23:51.5682192Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T21:23:51.5744767Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T21:23:51.5798397Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T21:23:51.5868904Z Entering 'third_party/pocketfft'
2025-08-14T21:23:51.5918619Z Entering 'third_party/protobuf'
2025-08-14T21:23:51.5977186Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T21:23:51.6027903Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T21:23:51.6079928Z Entering 'third_party/psimd'
2025-08-14T21:23:51.6138638Z Entering 'third_party/pthreadpool'
2025-08-14T21:23:51.6189980Z Entering 'third_party/pybind11'
2025-08-14T21:23:51.6240529Z Entering 'third_party/python-peachpy'
2025-08-14T21:23:51.6287604Z Entering 'third_party/sleef'
2025-08-14T21:23:51.6337079Z Entering 'third_party/tensorpipe'
2025-08-14T21:23:51.6385173Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T21:23:51.6433047Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T21:23:51.6478205Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T21:23:51.6527011Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T21:23:51.6581600Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T21:23:51.6651659Z ##[endgroup]
2025-08-14T21:23:51.6698292Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T21:23:51.6729590Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:23:51.6960320Z Prepare all required actions
2025-08-14T21:23:51.6960938Z Getting action download info
2025-08-14T21:23:51.8308718Z ##[group]Run ./.github/actions/setup-linux
2025-08-14T21:23:51.8309100Z env:
2025-08-14T21:23:51.8309364Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:51.8309667Z ##[endgroup]
2025-08-14T21:23:51.8361523Z ##[group]Run set -euo pipefail
2025-08-14T21:23:51.8361922Z set -euo pipefail
2025-08-14T21:23:51.8362265Z function get_ec2_metadata() {
2025-08-14T21:23:51.8362710Z   # Pulled from instance metadata endpoint for EC2
2025-08-14T21:23:51.8363447Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-08-14T21:23:51.8364096Z   category=$1
2025-08-14T21:23:51.8364506Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-08-14T21:23:51.8365020Z   runner_name_str=i-0332fb71a7b8c21e0
2025-08-14T21:23:51.8365465Z   if [[ -f /.inarc ]]; then
2025-08-14T21:23:51.8365858Z     echo "ARC Runner, no info on ec2 metadata"
2025-08-14T21:23:51.8366421Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-08-14T21:23:51.8366923Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-08-14T21:23:51.8367371Z   else
2025-08-14T21:23:51.8368288Z     curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-08-14T21:23:51.8369379Z   fi
2025-08-14T21:23:51.8369617Z }
2025-08-14T21:23:51.8369891Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-08-14T21:23:51.8370355Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-08-14T21:23:51.8370875Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-08-14T21:23:51.8371323Z echo "system info $(uname -a)"
2025-08-14T21:23:51.8378422Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:51.8378831Z env:
2025-08-14T21:23:51.8379074Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:51.8379344Z ##[endgroup]
2025-08-14T21:23:51.8560044Z ami-id: ami-05ffe3c48a9991133
2025-08-14T21:23:51.8682362Z instance-id: i-0332fb71a7b8c21e0
2025-08-14T21:23:51.8799567Z instance-type: m4.10xlarge
2025-08-14T21:23:51.8812055Z system info Linux ip-10-0-31-67.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-08-14T21:23:51.8834494Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:23:51.8835576Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:23:51.8842945Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:51.8843386Z env:
2025-08-14T21:23:51.8843646Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:51.8843952Z ##[endgroup]
2025-08-14T21:23:51.8900003Z ##[group]Run if systemctl is-active --quiet docker; then
2025-08-14T21:23:51.8900503Z if systemctl is-active --quiet docker; then
2025-08-14T21:23:51.8900939Z     echo "Docker daemon is running...";
2025-08-14T21:23:51.8901294Z else
2025-08-14T21:23:51.8901700Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-08-14T21:23:51.8902199Z fi
2025-08-14T21:23:51.8910604Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:51.8911045Z env:
2025-08-14T21:23:51.8911306Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:51.8911620Z ##[endgroup]
2025-08-14T21:23:51.8997865Z Docker daemon is running...
2025-08-14T21:23:51.9061467Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:23:51.9062179Z with:
2025-08-14T21:23:51.9062668Z   shell: bash
2025-08-14T21:23:51.9063740Z   timeout_minutes: 5
2025-08-14T21:23:51.9064348Z   max_attempts: 3
2025-08-14T21:23:51.9064911Z   retry_wait_seconds: 30
2025-08-14T21:23:51.9070951Z   command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
    --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"

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

2025-08-14T21:23:51.9076985Z   polling_interval_seconds: 1
2025-08-14T21:23:51.9077494Z   warning_on_retry: true
2025-08-14T21:23:51.9077998Z   continue_on_error: false
2025-08-14T21:23:51.9078470Z env:
2025-08-14T21:23:51.9078886Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:51.9079413Z   AWS_RETRY_MODE: standard
2025-08-14T21:23:51.9079888Z   AWS_MAX_ATTEMPTS: 5
2025-08-14T21:23:51.9080371Z   AWS_DEFAULT_REGION: us-east-1
2025-08-14T21:23:51.9080896Z ##[endgroup]
2025-08-14T21:23:53.2780755Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:23:53.2781474Z Configure a credential helper to remove this warning. See
2025-08-14T21:23:53.2782151Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:23:53.2783269Z 
2025-08-14T21:23:53.2783402Z Login Succeeded
2025-08-14T21:23:54.0114659Z Command completed after 1 attempt(s).
2025-08-14T21:23:54.0181970Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:23:54.0182595Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:23:54.0183448Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:23:54.0192744Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:54.0193168Z env:
2025-08-14T21:23:54.0193448Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:54.0193736Z ##[endgroup]
2025-08-14T21:23:54.0294810Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:23:54.0295485Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T21:23:54.0295999Z # shellcheck disable=SC2046
2025-08-14T21:23:54.0296406Z docker stop $(docker ps -q) || true
2025-08-14T21:23:54.0296831Z # Prune all of the docker images
2025-08-14T21:23:54.0297226Z docker system prune -af
2025-08-14T21:23:54.0304041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:54.0304496Z env:
2025-08-14T21:23:54.0304778Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:54.0305110Z ##[endgroup]
2025-08-14T21:23:54.0886630Z "docker stop" requires at least 1 argument.
2025-08-14T21:23:54.0887074Z See 'docker stop --help'.
2025-08-14T21:23:54.0887290Z 
2025-08-14T21:23:54.0887518Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-08-14T21:23:54.0887840Z 
2025-08-14T21:23:54.0887976Z Stop one or more running containers
2025-08-14T21:23:54.1123468Z Total reclaimed space: 0B
2025-08-14T21:23:54.1156064Z ##[group]Run set +e
2025-08-14T21:23:54.1156389Z set +e
2025-08-14T21:23:54.1156668Z set -x
2025-08-14T21:23:54.1156934Z 
2025-08-14T21:23:54.1157213Z PT_DOMAIN=download.pytorch.org
2025-08-14T21:23:54.1157912Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400,
2025-08-14T21:23:54.1158791Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last
2025-08-14T21:23:54.1159414Z # one is returned at random
2025-08-14T21:23:54.1159866Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1)
2025-08-14T21:23:54.1160308Z 
2025-08-14T21:23:54.1160737Z if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:23:54.1161230Z   echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..."
2025-08-14T21:23:54.1161843Z   RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1)
2025-08-14T21:23:54.1162300Z 
2025-08-14T21:23:54.1162576Z   if [ -z "${RESOLVED_IP}" ]; then
2025-08-14T21:23:54.1163014Z     echo "Couldn't resolve ${PT_DOMAIN}, exiting..."
2025-08-14T21:23:54.1163440Z     exit 1
2025-08-14T21:23:54.1163721Z   fi
2025-08-14T21:23:54.1163957Z fi
2025-08-14T21:23:54.1164200Z 
2025-08-14T21:23:54.1164503Z if grep -r "${PT_DOMAIN}" /etc/hosts; then
2025-08-14T21:23:54.1178799Z   # Clean up any old records first
2025-08-14T21:23:54.1179334Z   sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts
2025-08-14T21:23:54.1179719Z fi
2025-08-14T21:23:54.1179978Z 
2025-08-14T21:23:54.1180362Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts
2025-08-14T21:23:54.1180817Z cat /etc/hosts
2025-08-14T21:23:54.1187570Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:54.1188030Z env:
2025-08-14T21:23:54.1188398Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:54.1188707Z ##[endgroup]
2025-08-14T21:23:54.1223988Z + PT_DOMAIN=download.pytorch.org
2025-08-14T21:23:54.1225345Z ++ dig -4 +short download.pytorch.org
2025-08-14T21:23:54.1226302Z ++ tail -n1
2025-08-14T21:23:54.1711382Z + RESOLVED_IP=18.160.10.28
2025-08-14T21:23:54.1711886Z + '[' -z 18.160.10.28 ']'
2025-08-14T21:23:54.1712221Z + grep -r download.pytorch.org /etc/hosts
2025-08-14T21:23:54.1728209Z + echo '18.160.10.28 download.pytorch.org'
2025-08-14T21:23:54.1728639Z + sudo tee -a /etc/hosts
2025-08-14T21:23:54.5830670Z 18.160.10.28 download.pytorch.org
2025-08-14T21:23:54.5847932Z + cat /etc/hosts
2025-08-14T21:23:54.5859226Z 127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
2025-08-14T21:23:54.5865341Z ::1         localhost6 localhost6.localdomain6
2025-08-14T21:23:54.5865792Z 18.160.10.28 download.pytorch.org
2025-08-14T21:23:54.6065965Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-08-14T21:23:54.6066537Z with:
2025-08-14T21:23:54.6067545Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6068687Z   use-custom-docker-registry: true
2025-08-14T21:23:54.6069075Z   docker-build-dir: .ci/docker
2025-08-14T21:23:54.6069438Z   docker-build-script: ./build.sh
2025-08-14T21:23:54.6069805Z   working-directory: .
2025-08-14T21:23:54.6070218Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:54.6070710Z   force-push: false
2025-08-14T21:23:54.6070995Z env:
2025-08-14T21:23:54.6071247Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:54.6071567Z ##[endgroup]
2025-08-14T21:23:54.6092044Z ##[group]Run set -ex
2025-08-14T21:23:54.6092396Z set -ex
2025-08-14T21:23:54.6092903Z 
2025-08-14T21:23:54.6093487Z # If the docker build directory or the build script doesn't exist, the action will
2025-08-14T21:23:54.6094265Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-08-14T21:23:54.6094918Z # job could then download the pre-built image as usual
2025-08-14T21:23:54.6095726Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-08-14T21:23:54.6096488Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6096864Z else
2025-08-14T21:23:54.6097170Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6097689Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6098165Z 
2025-08-14T21:23:54.6098800Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-08-14T21:23:54.6099540Z   exit 0
2025-08-14T21:23:54.6099804Z fi
2025-08-14T21:23:54.6100037Z 
2025-08-14T21:23:54.6100429Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-08-14T21:23:54.6101131Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-08-14T21:23:54.6101759Z   # use it as it is, but first let's extract the tag
2025-08-14T21:23:54.6102307Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-08-14T21:23:54.6102983Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6103747Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6104234Z else
2025-08-14T21:23:54.6104539Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-08-14T21:23:54.6105002Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-08-14T21:23:54.6105481Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-08-14T21:23:54.6105872Z   fi
2025-08-14T21:23:54.6106414Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-08-14T21:23:54.6107152Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6107917Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6108896Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6109413Z fi
2025-08-14T21:23:54.6117808Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:54.6118203Z env:
2025-08-14T21:23:54.6118442Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:54.6118734Z   REPO_NAME: pytorch
2025-08-14T21:23:54.6119755Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6120724Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:23:54.6121037Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-08-14T21:23:54.6121448Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:54.6121873Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-08-14T21:23:54.6122196Z   CUSTOM_TAG_PREFIX: 
2025-08-14T21:23:54.6122468Z ##[endgroup]
2025-08-14T21:23:54.6149545Z + [[ -d .ci/docker ]]
2025-08-14T21:23:54.6149921Z + [[ -f .ci/docker/./build.sh ]]
2025-08-14T21:23:54.6150429Z + [[ true == \t\r\u\e ]]
2025-08-14T21:23:54.6150772Z + echo skip=false
2025-08-14T21:23:54.6152254Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]]
2025-08-14T21:23:54.6158632Z ++ awk -F '[:,]' '{print $2}'
2025-08-14T21:23:54.6159637Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6277461Z + DOCKER_TAG=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6278698Z + echo docker-tag=pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6282311Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6309036Z ##[group]Run set +e
2025-08-14T21:23:54.6309393Z set +e
2025-08-14T21:23:54.6309670Z set -x
2025-08-14T21:23:54.6309937Z 
2025-08-14T21:23:54.6310175Z login() {
2025-08-14T21:23:54.6310756Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:23:54.6311387Z }
2025-08-14T21:23:54.6311627Z 
2025-08-14T21:23:54.6311882Z retry () {
2025-08-14T21:23:54.6312211Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:23:54.6312575Z }
2025-08-14T21:23:54.6312826Z 
2025-08-14T21:23:54.6313105Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:23:54.6313467Z 
2025-08-14T21:23:54.6313731Z START_TIME=$(date +%s)
2025-08-14T21:23:54.6314092Z # Wait up to 120 minutes
2025-08-14T21:23:54.6314524Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-08-14T21:23:54.6315226Z   # Check if image already exists, if it does then skip building it
2025-08-14T21:23:54.6315785Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-08-14T21:23:54.6316201Z     exit 0
2025-08-14T21:23:54.6316457Z   fi
2025-08-14T21:23:54.6316704Z 
2025-08-14T21:23:54.6317147Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-08-14T21:23:54.6317880Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-08-14T21:23:54.6318631Z   # latter, it will wait for the Docker images to become available before continuing
2025-08-14T21:23:54.6319221Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-08-14T21:23:54.6319905Z     # It's a Docker build job, let's build the image
2025-08-14T21:23:54.6320266Z     break
2025-08-14T21:23:54.6320521Z   else
2025-08-14T21:23:54.6320886Z     # It's a regular build job, wait for the image to become available
2025-08-14T21:23:54.6321328Z     sleep 300
2025-08-14T21:23:54.6321580Z   fi
2025-08-14T21:23:54.6321813Z done
2025-08-14T21:23:54.6322038Z 
2025-08-14T21:23:54.6322396Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-08-14T21:23:54.6323103Z # be empty.  The default action would be to continue rebuild the image
2025-08-14T21:23:54.6323656Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-08-14T21:23:54.6324126Z   # if we're on the base branch then use the parent commit
2025-08-14T21:23:54.6324551Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-08-14T21:23:54.6324890Z else
2025-08-14T21:23:54.6325236Z   # otherwise we're on a PR, so use the most recent base commit
2025-08-14T21:23:54.6325901Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-08-14T21:23:54.6326311Z fi
2025-08-14T21:23:54.6326551Z 
2025-08-14T21:23:54.6326802Z if [[ -z "${MERGE_BASE}" ]]; then
2025-08-14T21:23:54.6327204Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6327574Z 
2025-08-14T21:23:54.6328096Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-08-14T21:23:54.6328702Z   exit 0
2025-08-14T21:23:54.6328955Z fi
2025-08-14T21:23:54.6329189Z 
2025-08-14T21:23:54.6329517Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-08-14T21:23:54.6330281Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-08-14T21:23:54.6330942Z   exit 1
2025-08-14T21:23:54.6331181Z fi
2025-08-14T21:23:54.6331421Z 
2025-08-14T21:23:54.6331827Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-08-14T21:23:54.6332565Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-08-14T21:23:54.6333216Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-08-14T21:23:54.6333980Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-08-14T21:23:54.6334840Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-08-14T21:23:54.6335353Z fi
2025-08-14T21:23:54.6335577Z 
2025-08-14T21:23:54.6335867Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-08-14T21:23:54.6342484Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:54.6343026Z env:
2025-08-14T21:23:54.6343456Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:54.6343790Z   DOCKER_BUILD_DIR: .ci/docker
2025-08-14T21:23:54.6344185Z   BASE_REVISION: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:23:54.6345329Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6346777Z   DOCKER_TAG: pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:54.6347641Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:54.6348092Z   DOCKER_PUSH: 
2025-08-14T21:23:54.6348363Z ##[endgroup]
2025-08-14T21:23:54.6374186Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:54.6374744Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:54.6378037Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:23:54.6379208Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:55.2076757Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:23:55.2077507Z Configure a credential helper to remove this warning. See
2025-08-14T21:23:55.2078187Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:23:55.2078643Z 
2025-08-14T21:23:55.2078777Z Login Succeeded
2025-08-14T21:23:55.2107147Z ++ date +%s
2025-08-14T21:23:55.2118293Z + START_TIME=1755206635
2025-08-14T21:23:55.2122431Z ++ date +%s
2025-08-14T21:23:55.2132713Z + [[ 1755199435 -lt 1755206635 ]]
2025-08-14T21:23:55.2133984Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:55.4861140Z {
2025-08-14T21:23:55.4861642Z 	"schemaVersion": 2,
2025-08-14T21:23:55.4862183Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-08-14T21:23:55.4862914Z 	"config": {
2025-08-14T21:23:55.4863524Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-08-14T21:23:55.4864019Z 		"size": 30151,
2025-08-14T21:23:55.4864505Z 		"digest": "sha256:0899ae453036ee7a91795ea95b1db61000579eeb74b140edab5976919ee64bbe"
2025-08-14T21:23:55.4865083Z 	},
2025-08-14T21:23:55.4865332Z 	"layers": [
2025-08-14T21:23:55.4865586Z 		{
2025-08-14T21:23:55.4865992Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.4866501Z 			"size": 30448173,
2025-08-14T21:23:55.4867048Z 			"digest": "sha256:660ffc76f83b006444a5731b215acc2e35138d8be5cac8ed1ffd40f947117495"
2025-08-14T21:23:55.4867613Z 		},
2025-08-14T21:23:55.4867856Z 		{
2025-08-14T21:23:55.4868392Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.4868868Z 			"size": 1554,
2025-08-14T21:23:55.4869346Z 			"digest": "sha256:c7b4a852a45516e27a9256df90878663d770f96d271d6155d43be78cc5225eef"
2025-08-14T21:23:55.4869901Z 		},
2025-08-14T21:23:55.4870120Z 		{
2025-08-14T21:23:55.4870511Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.4871121Z 			"size": 313280151,
2025-08-14T21:23:55.4871596Z 			"digest": "sha256:e5a28988c8932eb5797557621582a064ce48651dbb5eaed379e9978535daccb9"
2025-08-14T21:23:55.4872146Z 		},
2025-08-14T21:23:55.4872384Z 		{
2025-08-14T21:23:55.4872774Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.4873251Z 			"size": 793,
2025-08-14T21:23:55.4873740Z 			"digest": "sha256:76a69b57b6837bef07dbc1b481cf28a62dfd7c7063219d9f6e0d0d63067653c7"
2025-08-14T21:23:55.4874296Z 		},
2025-08-14T21:23:55.4874518Z 		{
2025-08-14T21:23:55.4874905Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.4875399Z 			"size": 106,
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2025-08-14T21:23:55.5001507Z 			"digest": "sha256:38c303d3b62eb463762816db04062a480014a6f3c9754386f3e83ba331ab4d1d"
2025-08-14T21:23:55.5002010Z 		},
2025-08-14T21:23:55.5002209Z 		{
2025-08-14T21:23:55.5002561Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5003005Z 			"size": 32,
2025-08-14T21:23:55.5003429Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5003937Z 		},
2025-08-14T21:23:55.5004152Z 		{
2025-08-14T21:23:55.5004504Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5004936Z 			"size": 160,
2025-08-14T21:23:55.5005378Z 			"digest": "sha256:e06d15594a2a76995baebbce7032946ff9f94e281246fbc3f8ab19d8bcc38b81"
2025-08-14T21:23:55.5005886Z 		},
2025-08-14T21:23:55.5006084Z 		{
2025-08-14T21:23:55.5006612Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5007081Z 			"size": 1010,
2025-08-14T21:23:55.5007544Z 			"digest": "sha256:0e55deb5cb38fd36b600183f7d86eaca0dabc04d2ff4d49ec2266ee3329edc4a"
2025-08-14T21:23:55.5008090Z 		},
2025-08-14T21:23:55.5008316Z 		{
2025-08-14T21:23:55.5008672Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5009146Z 			"size": 724,
2025-08-14T21:23:55.5009604Z 			"digest": "sha256:fc6b37d40530f2c5339430321eab67ae1e2e87e997587c7bc8c41504464208f9"
2025-08-14T21:23:55.5010123Z 		},
2025-08-14T21:23:55.5010351Z 		{
2025-08-14T21:23:55.5010727Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5011199Z 			"size": 134,
2025-08-14T21:23:55.5011651Z 			"digest": "sha256:4a53d66dce071bb7416414aa1adbc3e4a59003300c0d42038612fabdeb5a1b01"
2025-08-14T21:23:55.5012188Z 		},
2025-08-14T21:23:55.5012416Z 		{
2025-08-14T21:23:55.5012772Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5013240Z 			"size": 32,
2025-08-14T21:23:55.5013705Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5014227Z 		},
2025-08-14T21:23:55.5014460Z 		{
2025-08-14T21:23:55.5014834Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5015290Z 			"size": 159,
2025-08-14T21:23:55.5015754Z 			"digest": "sha256:1519daa051b8b80e04125f2f2215dc412dcdbb9502711925e97aeccbda069eaf"
2025-08-14T21:23:55.5016288Z 		},
2025-08-14T21:23:55.5016497Z 		{
2025-08-14T21:23:55.5016869Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5017338Z 			"size": 1371,
2025-08-14T21:23:55.5017809Z 			"digest": "sha256:381ed91d2119f078fbba19102a65befc4cb242f8cf47a11fb6f76ea424690692"
2025-08-14T21:23:55.5018520Z 		},
2025-08-14T21:23:55.5018752Z 		{
2025-08-14T21:23:55.5019132Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5019602Z 			"size": 32,
2025-08-14T21:23:55.5020082Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5020914Z 		},
2025-08-14T21:23:55.5021134Z 		{
2025-08-14T21:23:55.5021621Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5022112Z 			"size": 137,
2025-08-14T21:23:55.5022581Z 			"digest": "sha256:c6b0a01a96dd479640297d4b012031ffc1bd9fc0daf61d86058f9b675c0a0705"
2025-08-14T21:23:55.5023277Z 		},
2025-08-14T21:23:55.5023514Z 		{
2025-08-14T21:23:55.5024329Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5024889Z 			"size": 380,
2025-08-14T21:23:55.5025390Z 			"digest": "sha256:62df6413daeefebde04dcc401134734952e4ea37fc85ff23c89cb9b4fbd45155"
2025-08-14T21:23:55.5025969Z 		},
2025-08-14T21:23:55.5026189Z 		{
2025-08-14T21:23:55.5026685Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5027192Z 			"size": 32,
2025-08-14T21:23:55.5027667Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5028236Z 		},
2025-08-14T21:23:55.5028474Z 		{
2025-08-14T21:23:55.5028851Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5029355Z 			"size": 104,
2025-08-14T21:23:55.5029851Z 			"digest": "sha256:7a18bc2a6881b76a6f591c98dafb47e44d903f7a905f7eba0fc3aedb5c90fff7"
2025-08-14T21:23:55.5030410Z 		},
2025-08-14T21:23:55.5030645Z 		{
2025-08-14T21:23:55.5031037Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5031538Z 			"size": 407,
2025-08-14T21:23:55.5032008Z 			"digest": "sha256:93359cd58a8cece344fd4291b27647e57761c9399bb54bb0c18149c12af5f66a"
2025-08-14T21:23:55.5032562Z 		},
2025-08-14T21:23:55.5032800Z 		{
2025-08-14T21:23:55.5033181Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5033677Z 			"size": 32,
2025-08-14T21:23:55.5034170Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5034720Z 		},
2025-08-14T21:23:55.5034954Z 		{
2025-08-14T21:23:55.5035345Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5035954Z 			"size": 109,
2025-08-14T21:23:55.5036441Z 			"digest": "sha256:c35ba0a1f353d6894c914a4bfbea9a2c9b8ac1b526af64d34cbe9a12bd83c78e"
2025-08-14T21:23:55.5036994Z 		},
2025-08-14T21:23:55.5037208Z 		{
2025-08-14T21:23:55.5037594Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5038076Z 			"size": 1896,
2025-08-14T21:23:55.5038555Z 			"digest": "sha256:dcf1e01c98d6a6f72674d79a4e8e4047b54796576cd06ad682c225a92820a8f5"
2025-08-14T21:23:55.5039083Z 		},
2025-08-14T21:23:55.5039309Z 		{
2025-08-14T21:23:55.5039697Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5040166Z 			"size": 242635753,
2025-08-14T21:23:55.5040669Z 			"digest": "sha256:bad0564f61fdf377e3ae31f6fec0ec28b6922da0b9db28408b55b8e97ff1ea51"
2025-08-14T21:23:55.5041222Z 		},
2025-08-14T21:23:55.5041437Z 		{
2025-08-14T21:23:55.5041817Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5042300Z 			"size": 106,
2025-08-14T21:23:55.5042768Z 			"digest": "sha256:539ded9057364aade7abe23ab908d2caf53966a186734aa58ae84a56bee659eb"
2025-08-14T21:23:55.5043318Z 		},
2025-08-14T21:23:55.5043547Z 		{
2025-08-14T21:23:55.5043916Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5044506Z 			"size": 163,
2025-08-14T21:23:55.5044958Z 			"digest": "sha256:28d482062637d32514edfc447913e98745d7c13d2f277531e64ffcf090ae6d92"
2025-08-14T21:23:55.5045591Z 		},
2025-08-14T21:23:55.5045788Z 		{
2025-08-14T21:23:55.5046142Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5046596Z 			"size": 7943,
2025-08-14T21:23:55.5047021Z 			"digest": "sha256:3245316ff51b50b27da4ef7279733c92f76cc652b3fce3877c0e3d510430e8b3"
2025-08-14T21:23:55.5047519Z 		},
2025-08-14T21:23:55.5047731Z 		{
2025-08-14T21:23:55.5048067Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5048510Z 			"size": 8073,
2025-08-14T21:23:55.5048949Z 			"digest": "sha256:b53167d1a6df0e4b67d637d073150dff1fb87a823864c0c98d77c15e56babc24"
2025-08-14T21:23:55.5049524Z 		},
2025-08-14T21:23:55.5049738Z 		{
2025-08-14T21:23:55.5050095Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5050545Z 			"size": 303,
2025-08-14T21:23:55.5050964Z 			"digest": "sha256:7f5277f691672469f431fd90a8c2bb702c6c68333f6be2cff868f00e416c5a1a"
2025-08-14T21:23:55.5051465Z 		},
2025-08-14T21:23:55.5051683Z 		{
2025-08-14T21:23:55.5052023Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5052476Z 			"size": 32,
2025-08-14T21:23:55.5052982Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5054260Z 		},
2025-08-14T21:23:55.5054508Z 		{
2025-08-14T21:23:55.5054929Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5055403Z 			"size": 108,
2025-08-14T21:23:55.5055883Z 			"digest": "sha256:23dff10cdaa5b1e9c7250f0c58a6279f104b35408281e951bfe9983f97e3d9ed"
2025-08-14T21:23:55.5056434Z 		},
2025-08-14T21:23:55.5056644Z 		{
2025-08-14T21:23:55.5057029Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5057519Z 			"size": 54145699,
2025-08-14T21:23:55.5058019Z 			"digest": "sha256:9fb73296da6ac15f37f36663bd10afc98abb8a01fb40bff4848de7247d28e018"
2025-08-14T21:23:55.5058559Z 		},
2025-08-14T21:23:55.5058788Z 		{
2025-08-14T21:23:55.5059172Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-08-14T21:23:55.5059642Z 			"size": 32,
2025-08-14T21:23:55.5060124Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-08-14T21:23:55.5060672Z 		}
2025-08-14T21:23:55.5060885Z 	]
2025-08-14T21:23:55.5061115Z }
2025-08-14T21:23:55.5061363Z + exit 0
2025-08-14T21:23:55.5092257Z ##[group]Run set -eux
2025-08-14T21:23:55.5092911Z set -eux
2025-08-14T21:23:55.5093943Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin
2025-08-14T21:23:55.5101956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:55.5102387Z env:
2025-08-14T21:23:55.5102649Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:55.5103100Z ##[endgroup]
2025-08-14T21:23:55.5138401Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-08-14T21:23:55.5139279Z + jq --raw-output .SecretString
2025-08-14T21:23:55.5139629Z + jq -r .docker_hub_readonly_token
2025-08-14T21:23:55.5140589Z + docker login --username pytorchbot --password-stdin
2025-08-14T21:23:56.1507358Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:23:56.1508092Z Configure a credential helper to remove this warning. See
2025-08-14T21:23:56.1508779Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:23:56.1509247Z 
2025-08-14T21:23:56.1509516Z Login Succeeded
2025-08-14T21:23:56.1942854Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:23:56.1943451Z tag=${ECR_DOCKER_IMAGE##*:}
2025-08-14T21:23:56.1943964Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-08-14T21:23:56.1950916Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:56.1951324Z env:
2025-08-14T21:23:56.1951547Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:56.1952476Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:56.1954026Z ##[endgroup]
2025-08-14T21:23:56.1995877Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:56.2043829Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-08-14T21:23:56.2044303Z with:
2025-08-14T21:23:56.2045373Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:56.2046611Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:56.2047050Z env:
2025-08-14T21:23:56.2047293Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:56.2047575Z ##[endgroup]
2025-08-14T21:23:56.2064348Z ##[group]Run set -x
2025-08-14T21:23:56.2064668Z set -x
2025-08-14T21:23:56.2064944Z set +e
2025-08-14T21:23:56.2065213Z 
2025-08-14T21:23:56.2065457Z login() {
2025-08-14T21:23:56.2066026Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-08-14T21:23:56.2066648Z }
2025-08-14T21:23:56.2066886Z 
2025-08-14T21:23:56.2067193Z retry () {
2025-08-14T21:23:56.2067508Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-08-14T21:23:56.2067881Z }
2025-08-14T21:23:56.2068138Z 
2025-08-14T21:23:56.2068417Z retry login "${DOCKER_REGISTRY}"
2025-08-14T21:23:56.2068768Z 
2025-08-14T21:23:56.2069342Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-08-14T21:23:56.2070134Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-08-14T21:23:56.2070563Z 
2025-08-14T21:23:56.2070815Z set -e
2025-08-14T21:23:56.2071221Z # ignore output since only exit code is used for conditional
2025-08-14T21:23:56.2071808Z # only pull docker image if it's not available locally
2025-08-14T21:23:56.2072441Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-08-14T21:23:56.2073047Z   retry docker pull "${DOCKER_IMAGE}"
2025-08-14T21:23:56.2073428Z fi
2025-08-14T21:23:56.2079323Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:23:56.2079729Z env:
2025-08-14T21:23:56.2079982Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:23:56.2080892Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:56.2081945Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:56.2082362Z ##[endgroup]
2025-08-14T21:23:56.2108147Z + set +e
2025-08-14T21:23:56.2108533Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:56.2109051Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:56.2112005Z + aws ecr get-login-password --region us-east-1
2025-08-14T21:23:56.2113083Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-08-14T21:23:56.8103266Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-08-14T21:23:56.8104020Z Configure a credential helper to remove this warning. See
2025-08-14T21:23:56.8104719Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-08-14T21:23:56.8105188Z 
2025-08-14T21:23:56.8105322Z Login Succeeded
2025-08-14T21:23:56.8125046Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:56.8126245Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-08-14T21:23:57.0474652Z + IMAGE_SIZE=27663.483686447144
2025-08-14T21:23:57.0475108Z + echo 'Compressed size of image in MB: 27663.483686447144'
2025-08-14T21:23:57.0475569Z + set -e
2025-08-14T21:23:57.0478303Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:57.0479757Z Compressed size of image in MB: 27663.483686447144
2025-08-14T21:23:57.0671375Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:57.0673467Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:23:57.3612185Z pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe: Pulling from pytorch/ci-image
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2025-08-14T21:26:58.3766974Z fac8f3bd0f85: Verifying Checksum
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2025-08-14T21:31:32.2023217Z Digest: sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6
2025-08-14T21:31:32.2616551Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:31:32.2820521Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:31:32.2882932Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:31:32.2884048Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T21:31:32.2895717Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:32.2896168Z env:
2025-08-14T21:31:32.2896436Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:32.2896736Z ##[endgroup]
2025-08-14T21:31:32.3004857Z Prepare all required actions
2025-08-14T21:31:32.3050789Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T21:31:32.3051199Z with:
2025-08-14T21:31:32.3051843Z   github-token: ***
2025-08-14T21:31:32.3052138Z env:
2025-08-14T21:31:32.3052399Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:32.3052712Z ##[endgroup]
2025-08-14T21:31:32.3122225Z ##[group]Run set -eux
2025-08-14T21:31:32.3122548Z set -eux
2025-08-14T21:31:32.3123070Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T21:31:32.3129391Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:32.3129838Z env:
2025-08-14T21:31:32.3130093Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:32.3130609Z   GITHUB_TOKEN: ***
2025-08-14T21:31:32.3130877Z ##[endgroup]
2025-08-14T21:31:32.3157413Z + python3 .github/scripts/get_workflow_job_id.py 16976338999 i-0332fb71a7b8c21e0
2025-08-14T21:31:33.7237659Z Setting output job-id=48128301926
2025-08-14T21:31:33.7240246Z Setting output job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:31:33.7391884Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:31:33.7392951Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-08-14T21:31:33.7394097Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T21:31:33.7395216Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T21:31:33.7402378Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:33.7402819Z env:
2025-08-14T21:31:33.7403077Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:33.7403371Z   JOB_ID: 48128301926
2025-08-14T21:31:33.7404147Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:31:33.7405015Z   WORKFLOW_NAME: inductor-periodic
2025-08-14T21:31:33.7405407Z   WORKFLOW_RUN_ID: 16976338999
2025-08-14T21:31:33.7405734Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T21:31:33.7406054Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T21:31:33.7406393Z ##[endgroup]
2025-08-14T21:31:34.3840272Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:31:34.9844785Z Collecting psutil==5.9.8
2025-08-14T21:31:35.0038158Z   Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB)
2025-08-14T21:31:35.1711968Z Collecting dataclasses_json==0.6.7
2025-08-14T21:31:35.1764362Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T21:31:35.2174939Z Collecting nvidia-ml-py==11.525.84
2025-08-14T21:31:35.2219282Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-08-14T21:31:35.2924849Z Collecting typing-inspect<1,>=0.4.0
2025-08-14T21:31:35.2976926Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T21:31:35.4436756Z Collecting marshmallow<4.0.0,>=3.18.0
2025-08-14T21:31:35.4481524Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T21:31:35.5843127Z Collecting packaging>=17.0
2025-08-14T21:31:35.5886813Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-08-14T21:31:35.6573078Z Collecting mypy-extensions>=0.3.0
2025-08-14T21:31:35.6616082Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T21:31:35.7728193Z Collecting typing-extensions>=3.7.4
2025-08-14T21:31:35.7774064Z   Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB)
2025-08-14T21:31:36.0457758Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-08-14T21:31:36.6490736Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.14.1 typing-inspect-0.9.0
2025-08-14T21:31:36.8944975Z Prepare all required actions
2025-08-14T21:31:36.8945439Z Getting action download info
2025-08-14T21:31:37.0466406Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T21:31:37.8358416Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T21:31:39.6963226Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T21:31:39.6963667Z with:
2025-08-14T21:31:39.6963962Z   name: linux-jammy-py3.9-gcc11-build
2025-08-14T21:31:39.6964352Z   s3-bucket: gha-artifacts
2025-08-14T21:31:39.6964650Z env:
2025-08-14T21:31:39.6964917Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:39.6965236Z ##[endgroup]
2025-08-14T21:31:39.7140982Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:31:39.7141384Z with:
2025-08-14T21:31:39.7141669Z   name: linux-jammy-py3.9-gcc11-build
2025-08-14T21:31:39.7142040Z   s3-bucket: gha-artifacts
2025-08-14T21:31:39.7142785Z   region: us-east-1
2025-08-14T21:31:39.7143238Z env:
2025-08-14T21:31:39.7143512Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:39.7144039Z ##[endgroup]
2025-08-14T21:31:40.6036106Z (node:48855) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:31:40.6036701Z 
2025-08-14T21:31:40.6036944Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:31:40.6037566Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:31:40.6038222Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:31:41.9429762Z Found 1 objects with prefix pytorch/pytorch/16976338999/linux-jammy-py3.9-gcc11-build/
2025-08-14T21:31:41.9430651Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:31:46.5593999Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-08-14T21:31:46.5600573Z Artifact download has finished successfully
2025-08-14T21:31:46.5824013Z ##[group]Run unzip -o artifacts.zip
2025-08-14T21:31:46.5824423Z unzip -o artifacts.zip
2025-08-14T21:31:46.5830938Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:46.5831403Z env:
2025-08-14T21:31:46.5831681Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:46.5831994Z ##[endgroup]
2025-08-14T21:31:46.6277355Z Archive:  artifacts.zip
2025-08-14T21:31:46.6278083Z    creating: dist/
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2025-08-14T21:31:48.0500925Z    creating: dist/ao/
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2025-08-14T21:31:48.0692247Z   inflating: dist/.ninja_log         
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2025-08-14T21:31:54.1520627Z   inflating: build/bin/c10_registry_test  
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2025-08-14T21:31:54.1845559Z   inflating: build/bin/c10_ssize_test  
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2025-08-14T21:31:54.1972681Z   inflating: build/bin/c10_tempfile_test  
2025-08-14T21:31:54.2041033Z   inflating: build/bin/c10_typeid_test  
2025-08-14T21:31:54.2099922Z   inflating: build/bin/c10_intrusive_ptr_benchmark  
2025-08-14T21:31:54.2784576Z   inflating: build/bin/vec_test_all_types_DEFAULT  
2025-08-14T21:31:54.3504350Z   inflating: build/bin/vec_test_all_types_AVX512  
2025-08-14T21:31:54.4227901Z   inflating: build/bin/vec_test_all_types_AVX2  
2025-08-14T21:31:54.4294583Z   inflating: build/bin/static_runtime_bench  
2025-08-14T21:31:54.4606617Z   inflating: build/bin/static_runtime_test  
2025-08-14T21:31:54.4704284Z   inflating: build/bin/Dict_test     
2025-08-14T21:31:54.4767012Z   inflating: build/bin/Dimname_test  
2025-08-14T21:31:54.4854839Z   inflating: build/bin/MaybeOwned_test  
2025-08-14T21:31:54.4932605Z   inflating: build/bin/NamedTensor_test  
2025-08-14T21:31:54.5003497Z   inflating: build/bin/apply_utils_test  
2025-08-14T21:31:54.5081186Z   inflating: build/bin/atest         
2025-08-14T21:31:54.5158072Z   inflating: build/bin/basic         
2025-08-14T21:31:54.5225191Z   inflating: build/bin/broadcast_test  
2025-08-14T21:31:54.5300509Z   inflating: build/bin/cpu_allocator_test  
2025-08-14T21:31:54.5372034Z   inflating: build/bin/cpu_generator_test  
2025-08-14T21:31:54.5437375Z   inflating: build/bin/cpu_profiling_allocator_test  
2025-08-14T21:31:54.5549435Z   inflating: build/bin/cpu_rng_test  
2025-08-14T21:31:54.5617235Z   inflating: build/bin/dlconvertor_test  
2025-08-14T21:31:54.5687341Z   inflating: build/bin/extension_backend_test  
2025-08-14T21:31:54.5753814Z   inflating: build/bin/half_test     
2025-08-14T21:31:54.5881374Z   inflating: build/bin/ivalue_test   
2025-08-14T21:31:54.5942527Z   inflating: build/bin/lazy_tensor_test  
2025-08-14T21:31:54.6011125Z   inflating: build/bin/math_kernel_test  
2025-08-14T21:31:54.6087961Z   inflating: build/bin/memory_format_test  
2025-08-14T21:31:54.6152807Z   inflating: build/bin/memory_overlapping_test  
2025-08-14T21:31:54.6218829Z   inflating: build/bin/mobile_memory_cleanup  
2025-08-14T21:31:54.6299029Z   inflating: build/bin/native_test   
2025-08-14T21:31:54.6365009Z   inflating: build/bin/operator_name_test  
2025-08-14T21:31:54.6426825Z   inflating: build/bin/operators_test  
2025-08-14T21:31:54.6492476Z   inflating: build/bin/packedtensoraccessor_test  
2025-08-14T21:31:54.6593251Z   inflating: build/bin/pow_test      
2025-08-14T21:31:54.6663020Z   inflating: build/bin/quantized_test  
2025-08-14T21:31:54.6725370Z   inflating: build/bin/reduce_ops_test  
2025-08-14T21:31:54.6799846Z   inflating: build/bin/reportMemoryUsage_test  
2025-08-14T21:31:54.6872693Z   inflating: build/bin/scalar_tensor_test  
2025-08-14T21:31:54.6944049Z   inflating: build/bin/scalar_test   
2025-08-14T21:31:54.7007503Z   inflating: build/bin/StorageUtils_test  
2025-08-14T21:31:54.7088157Z   inflating: build/bin/stride_properties_test  
2025-08-14T21:31:54.7180653Z   inflating: build/bin/tensor_iterator_test  
2025-08-14T21:31:54.7247092Z   inflating: build/bin/test_parallel  
2025-08-14T21:31:54.7326158Z   inflating: build/bin/thread_init_test  
2025-08-14T21:31:54.7398246Z   inflating: build/bin/type_ptr_test  
2025-08-14T21:31:54.7469957Z   inflating: build/bin/type_test     
2025-08-14T21:31:54.7544360Z   inflating: build/bin/undefined_tensor_test  
2025-08-14T21:31:54.7611280Z   inflating: build/bin/verify_api_visibility  
2025-08-14T21:31:54.7700287Z   inflating: build/bin/legacy_vmap_test  
2025-08-14T21:31:54.7756684Z   inflating: build/bin/weakref_test  
2025-08-14T21:31:54.7841722Z   inflating: build/bin/wrapdim_test  
2025-08-14T21:31:54.7904303Z   inflating: build/bin/xla_tensor_test  
2025-08-14T21:31:54.7976995Z   inflating: build/bin/IListRef_test  
2025-08-14T21:31:54.8113616Z   inflating: build/bin/List_test     
2025-08-14T21:31:54.8192756Z   inflating: build/bin/KernelFunction_test  
2025-08-14T21:31:54.8351783Z   inflating: build/bin/kernel_function_legacy_test  
2025-08-14T21:31:54.8463926Z   inflating: build/bin/kernel_function_test  
2025-08-14T21:31:54.8624498Z   inflating: build/bin/kernel_lambda_legacy_test  
2025-08-14T21:31:54.8742185Z   inflating: build/bin/kernel_lambda_test  
2025-08-14T21:31:54.8824234Z   inflating: build/bin/kernel_stackbased_test  
2025-08-14T21:31:54.8937880Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2025-08-14T21:31:54.9000553Z   inflating: build/bin/CppSignature_test  
2025-08-14T21:31:54.9076700Z   inflating: build/bin/backend_fallback_test  
2025-08-14T21:31:54.9139883Z   inflating: build/bin/op_allowlist_test  
2025-08-14T21:31:54.9499387Z   inflating: build/bin/op_registration_test  
2025-08-14T21:31:54.9588885Z   inflating: build/bin/inline_container_test  
2025-08-14T21:31:55.0893677Z   inflating: build/bin/test_jit      
2025-08-14T21:31:55.1293637Z   inflating: build/bin/test_nativert  
2025-08-14T21:31:55.1357458Z   inflating: build/bin/BackoffTest   
2025-08-14T21:31:55.1422863Z   inflating: build/bin/FileStoreTest  
2025-08-14T21:31:55.1505212Z   inflating: build/bin/TCPStoreTest  
2025-08-14T21:31:55.1576281Z   inflating: build/bin/HashStoreTest  
2025-08-14T21:31:55.1656036Z   inflating: build/bin/ProcessGroupGlooTest  
2025-08-14T21:31:55.1658746Z   inflating: build/bin/example_allreduce  
2025-08-14T21:31:55.1731904Z   inflating: build/bin/test_dist_autograd  
2025-08-14T21:31:55.1813589Z   inflating: build/bin/test_cpp_rpc  
2025-08-14T21:31:55.3171687Z   inflating: build/bin/test_api      
2025-08-14T21:31:55.3172704Z   inflating: build/bin/parallel_benchmark  
2025-08-14T21:31:55.3590961Z   inflating: build/bin/test_lazy     
2025-08-14T21:31:55.3595192Z   inflating: build/bin/torch_shm_manager  
2025-08-14T21:31:55.3595612Z    creating: .additional_ci_files/
2025-08-14T21:31:55.3692665Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T21:31:55.4040080Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T21:31:55.4090462Z ##[group]Run rm artifacts.zip
2025-08-14T21:31:55.4090939Z rm artifacts.zip
2025-08-14T21:31:55.4098362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:55.4098800Z env:
2025-08-14T21:31:55.4099062Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:55.4099375Z ##[endgroup]
2025-08-14T21:31:55.4533922Z ##[group]Run df -H
2025-08-14T21:31:55.4534219Z df -H
2025-08-14T21:31:55.4540085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:55.4540508Z env:
2025-08-14T21:31:55.4540785Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:55.4541091Z ##[endgroup]
2025-08-14T21:31:55.4592291Z Filesystem      Size  Used Avail Use% Mounted on
2025-08-14T21:31:55.4592762Z devtmpfs        4.2M     0  4.2M   0% /dev
2025-08-14T21:31:55.4593165Z tmpfs            85G     0   85G   0% /dev/shm
2025-08-14T21:31:55.4593565Z tmpfs            34G  648k   34G   1% /run
2025-08-14T21:31:55.4593947Z /dev/xvda1      215G   70G  146G  33% /
2025-08-14T21:31:55.4594422Z tmpfs            85G   13k   85G   1% /tmp
2025-08-14T21:31:55.4595036Z /dev/xvda128     11M  1.4M  9.2M  13% /boot/efi
2025-08-14T21:31:55.4631822Z Prepare all required actions
2025-08-14T21:31:55.4634768Z Getting action download info
2025-08-14T21:31:55.6248917Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T21:31:55.6249326Z with:
2025-08-14T21:31:55.6249579Z env:
2025-08-14T21:31:55.6249840Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:55.6250139Z ##[endgroup]
2025-08-14T21:31:55.6332161Z ##[group]Run seemethere/download-artifact-s3@v4
2025-08-14T21:31:55.6332549Z with:
2025-08-14T21:31:55.6332799Z   name: td_results
2025-08-14T21:31:55.6333094Z   s3-bucket: gha-artifacts
2025-08-14T21:31:55.6333411Z   region: us-east-1
2025-08-14T21:31:55.6333683Z env:
2025-08-14T21:31:55.6333945Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:55.6334263Z ##[endgroup]
2025-08-14T21:31:56.1806411Z (node:48875) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-08-14T21:31:56.1807456Z 
2025-08-14T21:31:56.1807934Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-08-14T21:31:56.1809043Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-08-14T21:31:56.1810245Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-08-14T21:31:56.2828218Z Found 0 objects with prefix pytorch/pytorch/16976338999/td_results/
2025-08-14T21:31:56.2836830Z Artifact download has finished successfully
2025-08-14T21:31:56.3073288Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T21:31:56.3073738Z mkdir -p .additional_ci_files
2025-08-14T21:31:56.3074270Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T21:31:56.3081560Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:56.3082007Z env:
2025-08-14T21:31:56.3082270Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:56.3082571Z ##[endgroup]
2025-08-14T21:31:56.3156065Z mv: cannot stat 'td_results.json': No such file or directory
2025-08-14T21:31:56.3191075Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T21:31:56.3191520Z .github/scripts/parse_ref.py
2025-08-14T21:31:56.3197851Z shell: /usr/bin/bash -e {0}
2025-08-14T21:31:56.3198170Z env:
2025-08-14T21:31:56.3198427Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:56.3198722Z ##[endgroup]
2025-08-14T21:31:56.3676502Z Setting output branch=main
2025-08-14T21:31:56.3848849Z Prepare all required actions
2025-08-14T21:31:56.3849294Z Getting action download info
2025-08-14T21:31:56.5076935Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T21:31:56.5077328Z with:
2025-08-14T21:31:56.5077875Z   github-token: ***
2025-08-14T21:31:56.5082339Z   test-matrix: {"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}
2025-08-14T21:31:56.5087565Z   job-name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:31:56.5088400Z env:
2025-08-14T21:31:56.5088642Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:56.5088952Z ##[endgroup]
2025-08-14T21:31:56.5148189Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T21:31:56.5148544Z with:
2025-08-14T21:31:56.5148792Z   shell: bash
2025-08-14T21:31:56.5149073Z   timeout_minutes: 10
2025-08-14T21:31:56.5149362Z   max_attempts: 5
2025-08-14T21:31:56.5149663Z   retry_wait_seconds: 30
2025-08-14T21:31:56.5150609Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-08-14T21:31:56.5151615Z   polling_interval_seconds: 1
2025-08-14T21:31:56.5151943Z   warning_on_retry: true
2025-08-14T21:31:56.5152262Z   continue_on_error: false
2025-08-14T21:31:56.5152567Z env:
2025-08-14T21:31:56.5152805Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:56.5153853Z   GITHUB_TOKEN: ***
2025-08-14T21:31:56.5154138Z ##[endgroup]
2025-08-14T21:31:56.6804507Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T21:31:56.9677530Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T21:31:57.5489727Z Collecting requests==2.27.1
2025-08-14T21:31:57.5719561Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T21:31:57.8497621Z Collecting pyyaml==6.0.2
2025-08-14T21:31:57.8547317Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-08-14T21:31:58.3846556Z Collecting charset-normalizer~=2.0.0
2025-08-14T21:31:58.3896808Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T21:31:58.4925032Z Collecting certifi>=2017.4.17
2025-08-14T21:31:58.4984493Z   Downloading certifi-2025.8.3-py3-none-any.whl (161 kB)
2025-08-14T21:31:58.5342199Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-08-14T21:31:58.5350909Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-08-14T21:31:58.6413054Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-08-14T21:31:58.9218931Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-08-14T21:31:59.6076067Z Command completed after 1 attempt(s).
2025-08-14T21:31:59.6166442Z ##[group]Run set -x
2025-08-14T21:31:59.6166784Z set -x
2025-08-14T21:31:59.6167075Z 
2025-08-14T21:31:59.6167523Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:31:59.6168106Z # in runner workspace
2025-08-14T21:31:59.6168595Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T21:31:59.6176400Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:59.6176851Z env:
2025-08-14T21:31:59.6177133Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:59.6177443Z ##[endgroup]
2025-08-14T21:31:59.6210124Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T21:31:59.6436068Z Setting output branch=main
2025-08-14T21:31:59.6514944Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:31:59.6515525Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T21:31:59.6515934Z echo "Job name: ${JOB_NAME}"
2025-08-14T21:31:59.6516292Z 
2025-08-14T21:31:59.6516742Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T21:31:59.6517293Z # in runner workspace
2025-08-14T21:31:59.6517799Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T21:31:59.6518376Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T21:31:59.6518776Z   --job-name "${JOB_NAME}" \
2025-08-14T21:31:59.6523307Z   --test-matrix "{"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}" \
2025-08-14T21:31:59.6528114Z   --selected-test-configs "" \
2025-08-14T21:31:59.6528524Z   --pr-number "${PR_NUMBER}" \
2025-08-14T21:31:59.6528891Z   --tag "${TAG}" \
2025-08-14T21:31:59.6529249Z   --event-name "${EVENT_NAME}" \
2025-08-14T21:31:59.6529643Z   --schedule "${SCHEDULE}" \
2025-08-14T21:31:59.6530003Z   --branch "${HEAD_BRANCH}"
2025-08-14T21:31:59.6536117Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:59.6536568Z env:
2025-08-14T21:31:59.6536834Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:59.6537729Z   GITHUB_TOKEN: ***
2025-08-14T21:31:59.6538527Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:31:59.6539381Z   PR_NUMBER: 
2025-08-14T21:31:59.6539650Z   TAG: 
2025-08-14T21:31:59.6539889Z   EVENT_NAME: schedule
2025-08-14T21:31:59.6540199Z   SCHEDULE: 45 0,4,8,12,16,20 * * 1-5
2025-08-14T21:31:59.6540550Z   HEAD_BRANCH: main
2025-08-14T21:31:59.6540820Z ##[endgroup]
2025-08-14T21:31:59.6572109Z Workflow: inductor-periodic
2025-08-14T21:31:59.6573290Z Job name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:31:59.8425651Z Setting output keep-going=True
2025-08-14T21:31:59.8426120Z Setting output ci-verbose-test-logs=False
2025-08-14T21:31:59.8426538Z Setting output ci-test-showlocals=False
2025-08-14T21:31:59.8426947Z Setting output ci-no-test-timeout=False
2025-08-14T21:31:59.8427339Z Setting output ci-no-td=False
2025-08-14T21:31:59.8427711Z Setting output ci-td-distributed=False
2025-08-14T21:31:59.8428103Z Setting output is-unstable=False
2025-08-14T21:31:59.8428476Z Setting output reenabled-issues=
2025-08-14T21:31:59.8433212Z Setting output test-matrix={"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}
2025-08-14T21:31:59.8438509Z Setting output is-test-matrix-empty=False
2025-08-14T21:31:59.8592475Z ##[group]Run echo "Filtered matrix:"
2025-08-14T21:31:59.8592902Z echo "Filtered matrix:"
2025-08-14T21:31:59.8597459Z echo "{"include": [{"config": "cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_timm", "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": "cpu_inductor_freezing_avx2_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 1, "num_shards": 2, "runner": "linux.10xlarge.avx2"}, {"config": "cpu_inductor_freezing_avx2_timm", "shard": 2, "num_shards": 2, "runner": "linux.10xlarge.avx2"}]}"
2025-08-14T21:31:59.8602164Z 
2025-08-14T21:31:59.8602401Z echo
2025-08-14T21:31:59.8602714Z echo "Is the current job unstable? False"
2025-08-14T21:31:59.8603084Z 
2025-08-14T21:31:59.8603471Z echo
2025-08-14T21:31:59.8603768Z echo "Is keep-going label set? True"
2025-08-14T21:31:59.8604119Z 
2025-08-14T21:31:59.8604354Z echo
2025-08-14T21:31:59.8604631Z echo "Reenabled issues? "
2025-08-14T21:31:59.8610631Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:59.8611039Z env:
2025-08-14T21:31:59.8611291Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:59.8611586Z ##[endgroup]
2025-08-14T21:31:59.8642558Z Filtered matrix:
2025-08-14T21:31:59.8649443Z {include: [{config: cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_timm, 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: cpu_inductor_freezing_avx2_huggingface, shard: 1, num_shards: 1, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_torchbench, shard: 1, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_torchbench, shard: 2, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_timm, shard: 1, num_shards: 2, runner: linux.10xlarge.avx2}, {config: cpu_inductor_freezing_avx2_timm, shard: 2, num_shards: 2, runner: linux.10xlarge.avx2}]}
2025-08-14T21:31:59.8654467Z 
2025-08-14T21:31:59.8654607Z Is the current job unstable? False
2025-08-14T21:31:59.8654866Z 
2025-08-14T21:31:59.8655005Z Is keep-going label set? True
2025-08-14T21:31:59.8655226Z 
2025-08-14T21:31:59.8655353Z Reenabled issues? 
2025-08-14T21:31:59.8709605Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:31:59.8710226Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T21:31:59.8716725Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:59.8717156Z env:
2025-08-14T21:31:59.8717407Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:59.8717695Z   JOB_TIMEOUT: 240
2025-08-14T21:31:59.8717958Z ##[endgroup]
2025-08-14T21:31:59.8782381Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:31:59.8783305Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:31:59.8783847Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-08-14T21:31:59.8789613Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T21:31:59.8790068Z env:
2025-08-14T21:31:59.8790334Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:59.8790635Z ##[endgroup]
2025-08-14T21:31:59.8930945Z ##[group]Run set -x
2025-08-14T21:31:59.8931343Z set -x
2025-08-14T21:31:59.8931591Z 
2025-08-14T21:31:59.8931886Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-08-14T21:31:59.8932362Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-08-14T21:31:59.8932831Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-08-14T21:31:59.8933243Z   TEST_COMMAND=.ci/onnx/test.sh
2025-08-14T21:31:59.8933597Z else
2025-08-14T21:31:59.8933891Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:31:59.8934336Z fi
2025-08-14T21:31:59.8934572Z 
2025-08-14T21:31:59.8934877Z # Leaving 1GB for the runner and other things
2025-08-14T21:31:59.8935535Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-08-14T21:31:59.8942997Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-08-14T21:31:59.8945166Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-08-14T21:31:59.8946754Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-08-14T21:31:59.8948333Z 
2025-08-14T21:31:59.8949118Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:31:59.8950137Z   SHM_OPTS=
2025-08-14T21:31:59.8950862Z   JENKINS_USER=
2025-08-14T21:31:59.8952041Z   # ensure that docker container cleanly exits in 12 hours
2025-08-14T21:31:59.8952597Z   # if for some reason cleanup action doesn't stop container
2025-08-14T21:31:59.8953079Z   # when job is cancelled
2025-08-14T21:31:59.8953891Z   DOCKER_SHELL_CMD="sleep 12h"
2025-08-14T21:31:59.8954262Z else
2025-08-14T21:31:59.8954552Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-08-14T21:31:59.8955078Z   JENKINS_USER="--user jenkins"
2025-08-14T21:31:59.8955454Z   DOCKER_SHELL_CMD=
2025-08-14T21:31:59.8955749Z fi
2025-08-14T21:31:59.8955998Z 
2025-08-14T21:31:59.8956401Z # detached container should get cleaned up by teardown_ec2_linux
2025-08-14T21:31:59.8957017Z # TODO: Stop building test binaries as part of the build phase
2025-08-14T21:31:59.8957732Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-08-14T21:31:59.8958361Z # shellcheck disable=SC2086,SC2090
2025-08-14T21:31:59.8958758Z container_name=$(docker run \
2025-08-14T21:31:59.8959110Z   ${GPU_FLAG:-} \
2025-08-14T21:31:59.8959463Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-08-14T21:31:59.8959870Z   -e BUILD_ENVIRONMENT \
2025-08-14T21:31:59.8960210Z   -e PR_NUMBER \
2025-08-14T21:31:59.8960530Z   -e GITHUB_ACTIONS \
2025-08-14T21:31:59.8960872Z   -e GITHUB_REPOSITORY \
2025-08-14T21:31:59.8961230Z   -e GITHUB_WORKFLOW \
2025-08-14T21:31:59.8961555Z   -e GITHUB_JOB \
2025-08-14T21:31:59.8961874Z   -e GITHUB_RUN_ID \
2025-08-14T21:31:59.8962202Z   -e GITHUB_RUN_NUMBER \
2025-08-14T21:31:59.8962545Z   -e GITHUB_RUN_ATTEMPT \
2025-08-14T21:31:59.8962886Z   -e JOB_ID \
2025-08-14T21:31:59.8963184Z   -e JOB_NAME \
2025-08-14T21:31:59.8963477Z   -e BASE_SHA \
2025-08-14T21:31:59.8963780Z   -e BRANCH \
2025-08-14T21:31:59.8964072Z   -e SHA1 \
2025-08-14T21:31:59.8964354Z   -e AWS_DEFAULT_REGION \
2025-08-14T21:31:59.8964701Z   -e IN_WHEEL_TEST \
2025-08-14T21:31:59.8965026Z   -e SHARD_NUMBER \
2025-08-14T21:31:59.8965348Z   -e TEST_CONFIG \
2025-08-14T21:31:59.8965659Z   -e NUM_TEST_SHARDS \
2025-08-14T21:31:59.8966001Z   -e REENABLED_ISSUES \
2025-08-14T21:31:59.8966357Z   -e CONTINUE_THROUGH_ERROR \
2025-08-14T21:31:59.8966884Z   -e VERBOSE_TEST_LOGS \
2025-08-14T21:31:59.8967245Z   -e TEST_SHOWLOCALS \
2025-08-14T21:31:59.8967591Z   -e NO_TEST_TIMEOUT \
2025-08-14T21:31:59.8967907Z   -e NO_TD \
2025-08-14T21:31:59.8968219Z   -e TD_DISTRIBUTED \
2025-08-14T21:31:59.8968556Z   -e PR_LABELS \
2025-08-14T21:31:59.8969014Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-08-14T21:31:59.8969386Z   -e SCCACHE_BUCKET \
2025-08-14T21:31:59.8969716Z   -e SCCACHE_REGION \
2025-08-14T21:31:59.8970040Z   -e XLA_CUDA \
2025-08-14T21:31:59.8970363Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-08-14T21:31:59.8970778Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-08-14T21:31:59.8971197Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-08-14T21:31:59.8971602Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-08-14T21:31:59.8971992Z   -e HUGGING_FACE_HUB_TOKEN \
2025-08-14T21:31:59.8972372Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-08-14T21:31:59.8972741Z   -e DASHBOARD_TAG \
2025-08-14T21:31:59.8973226Z   -e ARTIFACTS_FILE_SUFFIX \
2025-08-14T21:31:59.8973650Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-08-14T21:31:59.8974244Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-08-14T21:31:59.8974715Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-08-14T21:31:59.8975175Z   --security-opt seccomp=unconfined \
2025-08-14T21:31:59.8975576Z   --cap-add=SYS_PTRACE \
2025-08-14T21:31:59.8975921Z   --ipc=host \
2025-08-14T21:31:59.8976212Z   ${SHM_OPTS} \
2025-08-14T21:31:59.8976510Z   --tty \
2025-08-14T21:31:59.8976789Z   --detach \
2025-08-14T21:31:59.8977087Z   --name="${container_name}" \
2025-08-14T21:31:59.8977457Z   ${JENKINS_USER} \
2025-08-14T21:31:59.8977868Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-08-14T21:31:59.8978336Z   -w /var/lib/jenkins/workspace \
2025-08-14T21:31:59.8978716Z   "${DOCKER_IMAGE}" \
2025-08-14T21:31:59.8979049Z   ${DOCKER_SHELL_CMD}
2025-08-14T21:31:59.8979348Z )
2025-08-14T21:31:59.8979696Z # Propagate download.pytorch.org IP to container
2025-08-14T21:31:59.8980476Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts"
2025-08-14T21:31:59.8981308Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-08-14T21:31:59.8981776Z 
2025-08-14T21:31:59.8982086Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-08-14T21:31:59.8982866Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-08-14T21:31:59.8983676Z fi
2025-08-14T21:31:59.8983918Z 
2025-08-14T21:31:59.8984518Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-08-14T21:31:59.8990554Z shell: /usr/bin/bash -e {0}
2025-08-14T21:31:59.8990867Z env:
2025-08-14T21:31:59.8991134Z   GIT_DEFAULT_BRANCH: main
2025-08-14T21:31:59.8991530Z   BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build
2025-08-14T21:31:59.8991938Z   PR_NUMBER: 
2025-08-14T21:31:59.8992231Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T21:31:59.8992619Z   GITHUB_WORKFLOW: inductor-periodic
2025-08-14T21:31:59.8992964Z   GITHUB_JOB: test
2025-08-14T21:31:59.8993250Z   GITHUB_RUN_ID: 16976338999
2025-08-14T21:31:59.8993578Z   GITHUB_RUN_NUMBER: 66307
2025-08-14T21:31:59.8993895Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T21:31:59.8994297Z   JOB_ID: 48128301926
2025-08-14T21:31:59.8995078Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:31:59.8995916Z   BRANCH: main
2025-08-14T21:31:59.8996201Z   SHA1: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:31:59.8996724Z   BASE_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:31:59.8997182Z   TEST_CONFIG: cpu_inductor_freezing_avx2_torchbench
2025-08-14T21:31:59.8997584Z   SHARD_NUMBER: 1
2025-08-14T21:31:59.8997845Z   NUM_TEST_SHARDS: 2
2025-08-14T21:31:59.8998129Z   REENABLED_ISSUES: 
2025-08-14T21:31:59.8998425Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T21:31:59.8998907Z   VERBOSE_TEST_LOGS: False
2025-08-14T21:31:59.8999251Z   TEST_SHOWLOCALS: False
2025-08-14T21:31:59.8999612Z   NO_TEST_TIMEOUT: False
2025-08-14T21:31:59.8999961Z   NO_TD: False
2025-08-14T21:31:59.9000228Z   TD_DISTRIBUTED: False
2025-08-14T21:31:59.9000590Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-08-14T21:31:59.9000999Z   SCCACHE_REGION: us-east-1
2025-08-14T21:31:59.9001305Z   SHM_SIZE: 1g
2025-08-14T21:31:59.9002255Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:31:59.9003286Z   XLA_CUDA: 
2025-08-14T21:31:59.9003689Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:31:59.9004280Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T21:31:59.9004753Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T21:31:59.9005094Z   DASHBOARD_TAG: 
2025-08-14T21:31:59.9005582Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T21:31:59.9006067Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-08-14T21:31:59.9006711Z   ARTIFACTS_FILE_SUFFIX: test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T21:31:59.9007347Z ##[endgroup]
2025-08-14T21:31:59.9032838Z + [[ cpu_inductor_freezing_avx2_torchbench == \m\u\l\t\i\g\p\u ]]
2025-08-14T21:31:59.9033388Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]]
2025-08-14T21:31:59.9033798Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-08-14T21:31:59.9036246Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-08-14T21:31:59.9058172Z + TOTAL_AVAILABLE_MEMORY_IN_GB='156.355 '
2025-08-14T21:31:59.9058613Z + TOTAL_MEMORY_WITH_SWAP=159
2025-08-14T21:31:59.9059006Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-14T21:31:59.9059414Z + SHM_OPTS=--shm-size=1g
2025-08-14T21:31:59.9059726Z + JENKINS_USER='--user jenkins'
2025-08-14T21:31:59.9060045Z + DOCKER_SHELL_CMD=
2025-08-14T21:31:59.9067851Z +++ nproc --ignore=2
2025-08-14T21:31:59.9321004Z ++ 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=38 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=156g --memory-swap=159g --env-file=/tmp/github_env_16976338999 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T21:33:09.6464509Z + container_name=4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T21:33:09.6469047Z + grep download.pytorch.org /etc/hosts
2025-08-14T21:33:09.6471717Z + docker exec -i 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29 sudo bash -c '/bin/cat >> /etc/hosts'
2025-08-14T21:33:09.8133471Z + echo DOCKER_CONTAINER_ID=4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T21:33:09.8134477Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]]
2025-08-14T21:33:09.8142221Z ++ echo dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:09.8143831Z + docker exec -t 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29 sh -c 'python3 -m pip install dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-08-14T21:33:10.3106065Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git1fc683c)
2025-08-14T21:33:10.9304371Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.18.0)
2025-08-14T21:33:10.9306344Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (4.14.1)
2025-08-14T21:33:10.9311938Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.13.3)
2025-08-14T21:33:10.9317303Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2.8.8)
2025-08-14T21:33:10.9321117Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.1.6)
2025-08-14T21:33:10.9334687Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (2025.3.0)
2025-08-14T21:33:10.9350425Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.3.0)
2025-08-14T21:33:10.9793611Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.22.4)
2025-08-14T21:33:10.9818676Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from sympy>=1.13.3->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (1.3.0)
2025-08-14T21:33:10.9909569Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from jinja2->torch==2.9.0a0+git1fc683c->torch==2.9.0a0+git1fc683c) (3.0.2)
2025-08-14T21:33:12.2037585Z Installing collected packages: torch
2025-08-14T21:33:23.3881064Z ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
2025-08-14T21:33:23.3882178Z dall-e 0.1 requires torchvision, which is not installed.
2025-08-14T21:33:23.3882695Z effdet 0.4.1 requires torchvision, which is not installed.
2025-08-14T21:33:23.3883391Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-08-14T21:33:23.3884295Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-08-14T21:33:23.3885183Z timm 1.0.14 requires torchvision, which is not installed.
2025-08-14T21:33:23.3885789Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T21:33:23.4833788Z + export TERM=vt100
2025-08-14T21:33:23.4834149Z + TERM=vt100
2025-08-14T21:33:23.4835797Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:33:23.4844420Z + source .ci/pytorch/common.sh
2025-08-14T21:33:23.4849574Z +++ dirname .ci/pytorch/common.sh
2025-08-14T21:33:23.4884836Z ++ source .ci/pytorch/common_utils.sh
2025-08-14T21:33:23.4885253Z +++ declare -f -t trap_add
2025-08-14T21:33:23.4888614Z ++ set -ex -o pipefail
2025-08-14T21:33:23.4888965Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:33:23.4889359Z ++ BUILD_TEST_LIBTORCH=0
2025-08-14T21:33:23.4905603Z ++ dirname .ci/pytorch/test.sh
2025-08-14T21:33:23.4912930Z + source .ci/pytorch/common-build.sh
2025-08-14T21:33:23.4914544Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]]
2025-08-14T21:33:23.4920607Z ++++ dirname .ci/pytorch/common-build.sh
2025-08-14T21:33:23.4936689Z +++ cd .ci/pytorch
2025-08-14T21:33:23.4937015Z +++ pwd -P
2025-08-14T21:33:23.4937330Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-08-14T21:33:23.4937812Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]]
2025-08-14T21:33:23.4938193Z ++ which sccache
2025-08-14T21:33:23.4958695Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-08-14T21:33:23.4959099Z ++ sccache --stop-server
2025-08-14T21:33:23.4986604Z ++ true
2025-08-14T21:33:23.4986945Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-08-14T21:33:23.4996403Z ++ trap_add sccache_epilogue EXIT
2025-08-14T21:33:23.4996786Z ++ trap_add_cmd=sccache_epilogue
2025-08-14T21:33:23.4997118Z ++ shift
2025-08-14T21:33:23.4997372Z ++ for trap_add_name in "$@"
2025-08-14T21:33:23.5002925Z ++++ trap -p EXIT
2025-08-14T21:33:23.5005461Z +++ eval 'extract_trap_cmd '
2025-08-14T21:33:23.5005852Z ++++ extract_trap_cmd
2025-08-14T21:33:23.5006129Z ++++ printf '%s\n' ''
2025-08-14T21:33:23.5006493Z +++ printf '%s\n' sccache_epilogue
2025-08-14T21:33:23.5007863Z ++ trap -- '
2025-08-14T21:33:23.5008495Z sccache_epilogue' EXIT
2025-08-14T21:33:23.5008848Z ++ [[ -n 1 ]]
2025-08-14T21:33:23.5009298Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-08-14T21:33:23.5009981Z Skipping sccache server initialization, setting environment variables
2025-08-14T21:33:23.5010504Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:33:23.5010847Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:33:23.5011255Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:33:23.5011760Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:33:23.5012229Z ++ export RUST_LOG=sccache::server=error
2025-08-14T21:33:23.5012610Z ++ RUST_LOG=sccache::server=error
2025-08-14T21:33:23.5012937Z ++ sccache --zero-stats
2025-08-14T21:33:23.6229261Z Statistics zeroed.
2025-08-14T21:33:23.6234307Z ++ which ccache
2025-08-14T21:33:23.6254614Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]]
2025-08-14T21:33:23.6255099Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]]
2025-08-14T21:33:23.6255530Z + [[ -d /var/lib/jenkins/workspace ]]
2025-08-14T21:33:23.6256405Z ++ stat -c %u /var/lib/jenkins/workspace
2025-08-14T21:33:23.6270468Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-08-14T21:33:23.6270869Z + trap_add cleanup_workspace EXIT
2025-08-14T21:33:23.6271226Z + trap_add_cmd=cleanup_workspace
2025-08-14T21:33:23.6271556Z + shift
2025-08-14T21:33:23.6271817Z + for trap_add_name in "$@"
2025-08-14T21:33:23.6278537Z +++ trap -p EXIT
2025-08-14T21:33:23.6279408Z ++ eval 'extract_trap_cmd trap -- '\''
2025-08-14T21:33:23.6279832Z sccache_epilogue'\'' EXIT'
2025-08-14T21:33:23.6280643Z +++ extract_trap_cmd trap -- '
2025-08-14T21:33:23.6280979Z sccache_epilogue' EXIT
2025-08-14T21:33:23.6281276Z +++ printf '%s\n' '
2025-08-14T21:33:23.6281568Z sccache_epilogue'
2025-08-14T21:33:23.6281902Z ++ printf '%s\n' cleanup_workspace
2025-08-14T21:33:23.6282313Z + trap -- '
2025-08-14T21:33:23.6282581Z sccache_epilogue
2025-08-14T21:33:23.6282851Z cleanup_workspace' EXIT
2025-08-14T21:33:23.6283223Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-08-14T21:33:24.3600095Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-08-14T21:33:24.3621669Z + echo 'Environment variables:'
2025-08-14T21:33:24.3622072Z Environment variables:
2025-08-14T21:33:24.3622370Z + env
2025-08-14T21:33:24.3627883Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:33:24.3628755Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:33:24.3629135Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-14T21:33:24.3629563Z HOSTNAME=4383cee6f1c5
2025-08-14T21:33:24.3630264Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.3631008Z GITHUB_ACTION=__run_2
2025-08-14T21:33:24.3631607Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:33:24.3631980Z GITHUB_RUN_NUMBER=66307
2025-08-14T21:33:24.3632351Z TEST_CONFIG=cpu_inductor_freezing_avx2_torchbench
2025-08-14T21:33:24.3632792Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:33:24.3633197Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:33:24.3633582Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:33:24.3634267Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:33:24.3634631Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:33:24.3635005Z GITHUB_REF_TYPE=branch
2025-08-14T21:33:24.3635295Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:33:24.3635659Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.3636040Z XLA_CUDA=
2025-08-14T21:33:24.3636347Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:33:24.3636818Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:33:24.3637230Z ***
2025-08-14T21:33:24.3637481Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:33:24.3637807Z GITHUB_ACTIONS=true
2025-08-14T21:33:24.3638148Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:33:24.3638595Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.3639019Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.3639802Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main
2025-08-14T21:33:24.3640406Z UCC_HOME=/usr
2025-08-14T21:33:24.3640678Z VERBOSE_TEST_LOGS=False
2025-08-14T21:33:24.3640987Z GITHUB_REF=refs/heads/main
2025-08-14T21:33:24.3641280Z SHARD_NUMBER=1
2025-08-14T21:33:24.3641556Z GITHUB_REF_PROTECTED=true
2025-08-14T21:33:24.3641863Z HOME=/var/lib/jenkins
2025-08-14T21:33:24.3642173Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:33:24.3642559Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:33:24.3642903Z UCX_COMMIT=
2025-08-14T21:33:24.3643142Z USE_SYSTEM_NCCL=1
2025-08-14T21:33:24.3643409Z NUM_TEST_SHARDS=2
2025-08-14T21:33:24.3643676Z UCX_HOME=/usr
2025-08-14T21:33:24.3644324Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.3646012Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:33:24.3647914Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.3649245Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:33:24.3649825Z GITHUB_EVENT_NAME=schedule
2025-08-14T21:33:24.3650142Z DASHBOARD_TAG=
2025-08-14T21:33:24.3650415Z GITHUB_RUN_ID=16976338999
2025-08-14T21:33:24.3650712Z INSTALLED_OPENBLAS=
2025-08-14T21:33:24.3651427Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.3652228Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:33:24.3652551Z PR_NUMBER=
2025-08-14T21:33:24.3652786Z DESIRED_CUDA=
2025-08-14T21:33:24.3653069Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:33:24.3653897Z ANACONDA_PYTHON_VERSION=3.9
2025-08-14T21:33:24.3654285Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:33:24.3654695Z TERM=vt100
2025-08-14T21:33:24.3655054Z INSTALLED_VISION=yes
2025-08-14T21:33:24.3655326Z BRANCH=main
2025-08-14T21:33:24.3655592Z SCCACHE_REGION=us-east-1
2025-08-14T21:33:24.3655917Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:33:24.3656238Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:33:24.3656848Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:33:24.3657525Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:33:24.3657863Z UCC_COMMIT=
2025-08-14T21:33:24.3658114Z REENABLED_ISSUES=
2025-08-14T21:33:24.3658380Z DOCS=yes
2025-08-14T21:33:24.3658600Z SHLVL=1
2025-08-14T21:33:24.3658835Z MAX_JOBS=38
2025-08-14T21:33:24.3659089Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:33:24.3659734Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.3660421Z GITHUB_REF_NAME=main
2025-08-14T21:33:24.3661102Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:33:24.3661887Z GITHUB_JOB=test
2025-08-14T21:33:24.3662289Z NO_TEST_TIMEOUT=False
2025-08-14T21:33:24.3662819Z TD_DISTRIBUTED=False
2025-08-14T21:33:24.3663480Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:33:24.3663996Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:33:24.3664325Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:33:24.3664649Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:33:24.3665567Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:33:24.3666525Z GITHUB_BASE_REF=
2025-08-14T21:33:24.3666803Z INSTALLED_ACL=
2025-08-14T21:33:24.3667374Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T21:33:24.3668029Z CI=true
2025-08-14T21:33:24.3668308Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:33:24.3668691Z RUST_LOG=sccache::server=error
2025-08-14T21:33:24.3669008Z JOB_ID=48128301926
2025-08-14T21:33:24.3669285Z GITHUB_HEAD_REF=
2025-08-14T21:33:24.3669565Z GITHUB_ACTION_REF=
2025-08-14T21:33:24.3670063Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:33:24.3670494Z TEST_SHOWLOCALS=False
2025-08-14T21:33:24.3670825Z GITHUB_WORKFLOW=inductor-periodic
2025-08-14T21:33:24.3671191Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:33:24.3671953Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.3672721Z NO_TD=False
2025-08-14T21:33:24.3672990Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:33:24.3673371Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:33:24.3673753Z _=/usr/bin/env
2025-08-14T21:33:24.3674136Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-08-14T21:33:24.4012829Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch
2025-08-14T21:33:24.4013588Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin
2025-08-14T21:33:24.4014272Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib
2025-08-14T21:33:24.4014967Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test
2025-08-14T21:33:24.4015479Z + BUILD_DIR=build
2025-08-14T21:33:24.4015775Z + BUILD_RENAMED_DIR=build_renamed
2025-08-14T21:33:24.4016127Z + BUILD_BIN_DIR=build/bin
2025-08-14T21:33:24.4016417Z + SHARD_NUMBER=1
2025-08-14T21:33:24.4016691Z + NUM_TEST_SHARDS=2
2025-08-14T21:33:24.4016995Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:33:24.4017355Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:33:24.4017688Z + export VALGRIND=ON
2025-08-14T21:33:24.4017975Z + VALGRIND=ON
2025-08-14T21:33:24.4018275Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]]
2025-08-14T21:33:24.4018717Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:33:24.4019149Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]]
2025-08-14T21:33:24.4019511Z + [[ 0 == \1 ]]
2025-08-14T21:33:24.4019766Z + [[ True == \1 ]]
2025-08-14T21:33:24.4020086Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]]
2025-08-14T21:33:24.4020498Z ++ realpath build/custom_test_artifacts
2025-08-14T21:33:24.4023533Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-08-14T21:33:24.4024131Z + [[ -n '' ]]
2025-08-14T21:33:24.4024427Z + echo 'Environment variables'
2025-08-14T21:33:24.4024757Z Environment variables
2025-08-14T21:33:24.4025045Z + env
2025-08-14T21:33:24.4045687Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T21:33:24.4046314Z CONTINUE_THROUGH_ERROR=True
2025-08-14T21:33:24.4046736Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build
2025-08-14T21:33:24.4047221Z HOSTNAME=4383cee6f1c5
2025-08-14T21:33:24.4047893Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.4048830Z GITHUB_ACTION=__run_2
2025-08-14T21:33:24.4049142Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-08-14T21:33:24.4049499Z GITHUB_RUN_NUMBER=66307
2025-08-14T21:33:24.4049857Z TEST_CONFIG=cpu_inductor_freezing_avx2_torchbench
2025-08-14T21:33:24.4050277Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-08-14T21:33:24.4050742Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-08-14T21:33:24.4056480Z SCCACHE_IDLE_TIMEOUT=0
2025-08-14T21:33:24.4057027Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-08-14T21:33:24.4057401Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-08-14T21:33:24.4057784Z GITHUB_REF_TYPE=branch
2025-08-14T21:33:24.4058095Z TORCH_CUDA_ARCH_LIST=Maxwell
2025-08-14T21:33:24.4058451Z BASE_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.4058836Z XLA_CUDA=
2025-08-14T21:33:24.4059105Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-08-14T21:33:24.4059563Z HUGGING_FACE_HUB_TOKEN=***
2025-08-14T21:33:24.4059918Z ***
2025-08-14T21:33:24.4060170Z GITHUB_REPOSITORY_ID=65600975
2025-08-14T21:33:24.4060495Z GITHUB_ACTIONS=true
2025-08-14T21:33:24.4060839Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-08-14T21:33:24.4061289Z SHA1=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.4061714Z GITHUB_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.4062629Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-periodic.yml@refs/heads/main
2025-08-14T21:33:24.4063453Z UCC_HOME=/usr
2025-08-14T21:33:24.4063740Z TORCH_SERIALIZATION_DEBUG=1
2025-08-14T21:33:24.4064062Z VERBOSE_TEST_LOGS=False
2025-08-14T21:33:24.4064377Z GITHUB_REF=refs/heads/main
2025-08-14T21:33:24.4064690Z SHARD_NUMBER=1
2025-08-14T21:33:24.4064962Z GITHUB_REF_PROTECTED=true
2025-08-14T21:33:24.4065279Z HOME=/var/lib/jenkins
2025-08-14T21:33:24.4065617Z GITHUB_API_URL=https://api.github.com
2025-08-14T21:33:24.4066002Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-08-14T21:33:24.4066351Z UCX_COMMIT=
2025-08-14T21:33:24.4066606Z USE_SYSTEM_NCCL=1
2025-08-14T21:33:24.4066884Z NUM_TEST_SHARDS=2
2025-08-14T21:33:24.4067151Z UCX_HOME=/usr
2025-08-14T21:33:24.4067831Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.4069098Z JOB_NAME=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T21:33:24.4070332Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.4071301Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-08-14T21:33:24.4071907Z GITHUB_EVENT_NAME=schedule
2025-08-14T21:33:24.4072226Z DASHBOARD_TAG=
2025-08-14T21:33:24.4072495Z GITHUB_RUN_ID=16976338999
2025-08-14T21:33:24.4072806Z INSTALLED_OPENBLAS=
2025-08-14T21:33:24.4073536Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.4074458Z GITHUB_ACTOR=pytorchmergebot
2025-08-14T21:33:24.4074782Z PR_NUMBER=
2025-08-14T21:33:24.4075030Z DESIRED_CUDA=
2025-08-14T21:33:24.4075281Z GITHUB_RUN_ATTEMPT=1
2025-08-14T21:33:24.4075561Z VALGRIND=ON
2025-08-14T21:33:24.4075824Z ANACONDA_PYTHON_VERSION=3.9
2025-08-14T21:33:24.4076221Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-08-14T21:33:24.4076628Z TERM=vt100
2025-08-14T21:33:24.4076881Z INSTALLED_VISION=yes
2025-08-14T21:33:24.4077152Z BRANCH=main
2025-08-14T21:33:24.4077415Z SCCACHE_REGION=us-east-1
2025-08-14T21:33:24.4077733Z OPENSSL_ROOT_DIR=/opt/openssl
2025-08-14T21:33:24.4078055Z CUDA_PATH=/usr/local/cuda
2025-08-14T21:33:24.4078658Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-08-14T21:33:24.4079335Z GITHUB_SERVER_URL=https://github.com
2025-08-14T21:33:24.4079689Z UCC_COMMIT=
2025-08-14T21:33:24.4079931Z REENABLED_ISSUES=
2025-08-14T21:33:24.4080199Z DOCS=yes
2025-08-14T21:33:24.4080437Z SHLVL=1
2025-08-14T21:33:24.4080662Z MAX_JOBS=38
2025-08-14T21:33:24.4081075Z GITHUB_ACTOR_ID=97764156
2025-08-14T21:33:24.4081485Z GITHUB_WORKFLOW_SHA=1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T21:33:24.4081920Z GITHUB_REF_NAME=main
2025-08-14T21:33:24.4082367Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-08-14T21:33:24.4082877Z GITHUB_JOB=test
2025-08-14T21:33:24.4083135Z NO_TEST_TIMEOUT=False
2025-08-14T21:33:24.4083430Z TD_DISTRIBUTED=False
2025-08-14T21:33:24.4083741Z GITHUB_REPOSITORY=pytorch/pytorch
2025-08-14T21:33:24.4084084Z GITHUB_RETENTION_DAYS=90
2025-08-14T21:33:24.4084399Z OPENSSL_DIR=/opt/openssl
2025-08-14T21:33:24.4084713Z GITHUB_ACTION_REPOSITORY=
2025-08-14T21:33:24.4085609Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:33:24.4086523Z GITHUB_BASE_REF=
2025-08-14T21:33:24.4086791Z INSTALLED_ACL=
2025-08-14T21:33:24.4087357Z ARTIFACTS_FILE_SUFFIX=test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T21:33:24.4087978Z CI=true
2025-08-14T21:33:24.4088237Z GITHUB_REPOSITORY_OWNER=pytorch
2025-08-14T21:33:24.4088607Z RUST_LOG=sccache::server=error
2025-08-14T21:33:24.4088981Z JOB_ID=48128301926
2025-08-14T21:33:24.4089246Z GITHUB_HEAD_REF=
2025-08-14T21:33:24.4089514Z GITHUB_ACTION_REF=
2025-08-14T21:33:24.4089840Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-08-14T21:33:24.4090254Z TEST_SHOWLOCALS=False
2025-08-14T21:33:24.4090576Z GITHUB_WORKFLOW=inductor-periodic
2025-08-14T21:33:24.4090923Z DEBIAN_FRONTEND=noninteractive
2025-08-14T21:33:24.4091650Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_37d22199-7ac1-444a-83c2-9a4cf8cce3a5
2025-08-14T21:33:24.4092386Z NO_TD=False
2025-08-14T21:33:24.4092653Z SKIP_SCCACHE_INITIALIZATION=1
2025-08-14T21:33:24.4092995Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-08-14T21:33:24.4093358Z _=/usr/bin/env
2025-08-14T21:33:24.4093648Z + echo 'Testing pytorch'
2025-08-14T21:33:24.4093943Z Testing pytorch
2025-08-14T21:33:24.4094228Z + export LANG=C.UTF-8
2025-08-14T21:33:24.4094515Z + LANG=C.UTF-8
2025-08-14T21:33:24.4094761Z + PR_NUMBER=
2025-08-14T21:33:24.4095119Z + [[ cpu_inductor_freezing_avx2_torchbench == \d\e\f\a\u\l\t ]]
2025-08-14T21:33:24.4095697Z + [[ cpu_inductor_freezing_avx2_torchbench == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-08-14T21:33:24.4096247Z + [[ cpu_inductor_freezing_avx2_torchbench == \s\l\o\w ]]
2025-08-14T21:33:24.4096735Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]]
2025-08-14T21:33:24.4097204Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-14T21:33:24.4097632Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:33:24.4098040Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:33:24.4098502Z + [[ cpu_inductor_freezing_avx2_torchbench == *crossref* ]]
2025-08-14T21:33:24.4098964Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]]
2025-08-14T21:33:24.4099371Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]]
2025-08-14T21:33:24.4099809Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-14T21:33:24.4100217Z + pip_install ninja==1.10.2
2025-08-14T21:33:24.4100640Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:33:24.4101170Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-08-14T21:33:24.9697743Z Collecting ninja==1.10.2
2025-08-14T21:33:24.9797053Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-08-14T21:33:24.9904707Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-08-14T21:33:26.1937449Z Installing collected packages: ninja
2025-08-14T21:33:26.1937899Z   Attempting uninstall: ninja
2025-08-14T21:33:26.1949722Z     Found existing installation: ninja 1.11.1.3
2025-08-14T21:33:26.1982393Z     Uninstalling ninja-1.11.1.3:
2025-08-14T21:33:26.2062704Z       Successfully uninstalled ninja-1.11.1.3
2025-08-14T21:33:26.2807082Z Successfully installed ninja-1.10.2
2025-08-14T21:33:26.3744088Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:33:26.3746067Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.9/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-08-14T21:33:26.3747237Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-14T21:33:26.3747695Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]]
2025-08-14T21:33:26.3748150Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]]
2025-08-14T21:33:26.3748608Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]]
2025-08-14T21:33:26.3749241Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass'
2025-08-14T21:33:26.3750032Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass
2025-08-14T21:33:26.3750591Z + cd test
2025-08-14T21:33:26.3750992Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-08-14T21:33:28.0668226Z + [[ cpu_inductor_freezing_avx2_torchbench == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-08-14T21:33:28.0669280Z + [[ cpu_inductor_freezing_avx2_torchbench == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-08-14T21:33:28.0670074Z + [[ cpu_inductor_freezing_avx2_torchbench == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-08-14T21:33:28.0677113Z + DYNAMO_BENCHMARK_FLAGS=()
2025-08-14T21:33:28.0677797Z + [[ cpu_inductor_freezing_avx2_torchbench == *pr_time_benchmarks* ]]
2025-08-14T21:33:28.0678403Z + [[ cpu_inductor_freezing_avx2_torchbench == *dynamo_eager* ]]
2025-08-14T21:33:28.0678930Z + [[ cpu_inductor_freezing_avx2_torchbench == *aot_eager* ]]
2025-08-14T21:33:28.0679455Z + [[ cpu_inductor_freezing_avx2_torchbench == *aot_inductor* ]]
2025-08-14T21:33:28.0680034Z + [[ cpu_inductor_freezing_avx2_torchbench == *max_autotune_inductor* ]]
2025-08-14T21:33:28.0680619Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor* ]]
2025-08-14T21:33:28.0681109Z + [[ cpu_inductor_freezing_avx2_torchbench != *perf* ]]
2025-08-14T21:33:28.0681550Z + DYNAMO_BENCHMARK_FLAGS+=(--inductor)
2025-08-14T21:33:28.0681987Z + [[ cpu_inductor_freezing_avx2_torchbench == *dynamic* ]]
2025-08-14T21:33:28.0682468Z + [[ cpu_inductor_freezing_avx2_torchbench == *cpu* ]]
2025-08-14T21:33:28.0682886Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-08-14T21:33:28.0711033Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-14T21:33:28.0711557Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]]
2025-08-14T21:33:28.0713754Z + cd test
2025-08-14T21:33:28.0714418Z + python -c 'import torch; print(torch.__config__.show())'
2025-08-14T21:33:29.5043200Z PyTorch built with:
2025-08-14T21:33:29.5043666Z   - GCC 11.4
2025-08-14T21:33:29.5043943Z   - C++ Version: 201703
2025-08-14T21:33:29.5044595Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:33:29.5045476Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:33:29.5045997Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:33:29.5046403Z   - LAPACK is enabled (usually provided by MKL)
2025-08-14T21:33:29.5046794Z   - NNPACK is enabled
2025-08-14T21:33:29.5047106Z   - CPU capability usage: AVX2
2025-08-14T21:33:29.5056038Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=1fc683cf17c8c673044538d10266c00f92987be2, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 
2025-08-14T21:33:29.5065092Z 
2025-08-14T21:33:29.7436154Z + cd test
2025-08-14T21:33:29.7436624Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-08-14T21:33:31.1891095Z ATen/Parallel:
2025-08-14T21:33:31.1891596Z 	at::get_num_threads() : 20
2025-08-14T21:33:31.1892111Z 	at::get_num_interop_threads() : 20
2025-08-14T21:33:31.1892650Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-08-14T21:33:31.1893140Z 	omp_get_max_threads() : 20
2025-08-14T21:33:31.1894149Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-08-14T21:33:31.1895215Z 	mkl_get_max_threads() : 20
2025-08-14T21:33:31.1895854Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-08-14T21:33:31.1897056Z std::thread::hardware_concurrency() : 40
2025-08-14T21:33:31.1897615Z Environment variables:
2025-08-14T21:33:31.1898061Z 	OMP_NUM_THREADS : [not set]
2025-08-14T21:33:31.1898507Z 	MKL_NUM_THREADS : [not set]
2025-08-14T21:33:31.1898995Z ATen parallel backend: OpenMP
2025-08-14T21:33:31.1899327Z 
2025-08-14T21:33:31.4314029Z + [[ cpu_inductor_freezing_avx2_torchbench == *numpy_2* ]]
2025-08-14T21:33:31.4314809Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]]
2025-08-14T21:33:31.4315306Z + [[ cpu_inductor_freezing_avx2_torchbench == *backward* ]]
2025-08-14T21:33:31.4315777Z + [[ cpu_inductor_freezing_avx2_torchbench == *xla* ]]
2025-08-14T21:33:31.4316257Z + [[ cpu_inductor_freezing_avx2_torchbench == *executorch* ]]
2025-08-14T21:33:31.4316822Z + [[ cpu_inductor_freezing_avx2_torchbench == \j\i\t\_\l\e\g\a\c\y ]]
2025-08-14T21:33:31.4317351Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]]
2025-08-14T21:33:31.4317837Z + [[ cpu_inductor_freezing_avx2_torchbench == distributed ]]
2025-08-14T21:33:31.4318404Z + [[ cpu_inductor_freezing_avx2_torchbench == *operator_benchmark* ]]
2025-08-14T21:33:31.4318994Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor_distributed* ]]
2025-08-14T21:33:31.4319589Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor-halide* ]]
2025-08-14T21:33:31.4320185Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor-triton-cpu* ]]
2025-08-14T21:33:31.4320830Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor-micro-benchmark* ]]
2025-08-14T21:33:31.4321427Z + [[ cpu_inductor_freezing_avx2_torchbench == *huggingface* ]]
2025-08-14T21:33:31.4321931Z + [[ cpu_inductor_freezing_avx2_torchbench == *timm* ]]
2025-08-14T21:33:31.4322410Z + [[ cpu_inductor_freezing_avx2_torchbench == cachebench ]]
2025-08-14T21:33:31.4322948Z + [[ cpu_inductor_freezing_avx2_torchbench == verify_cachebench ]]
2025-08-14T21:33:31.4323498Z + [[ cpu_inductor_freezing_avx2_torchbench == *torchbench* ]]
2025-08-14T21:33:31.4323940Z + install_torchaudio
2025-08-14T21:33:31.4324224Z + local commit
2025-08-14T21:33:31.4324504Z ++ get_pinned_commit audio
2025-08-14T21:33:31.4324837Z ++ cat .github/ci_commit_pins/audio.txt
2025-08-14T21:33:31.4335688Z + commit=bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T21:33:31.4336505Z + pip_build_and_install git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c dist/audio
2025-08-14T21:33:31.4337520Z + local build_target=git+https://github.com/pytorch/audio.git@bdb88e1d66f272cad72156c90ac8428ca61a601c
2025-08-14T21:33:31.4338185Z + local wheel_dir=dist/audio
2025-08-14T21:33:31.4338492Z + local found_whl=0
2025-08-14T21:33:31.4338785Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:33:31.4339585Z + [[ -f dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl ]]
2025-08-14T21:33:31.4340089Z + found_whl=1
2025-08-14T21:33:31.4340339Z + break
2025-08-14T21:33:31.4340579Z + '[' 1 == 0 ']'
2025-08-14T21:33:31.4340859Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:33:31.4341403Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:31.4342132Z + args=('dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl')
2025-08-14T21:33:31.4342775Z + local args
2025-08-14T21:33:31.4343215Z + [[ dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-14T21:33:31.4343940Z + for path in "${args[@]}"
2025-08-14T21:33:31.4344487Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl'
2025-08-14T21:33:31.4345258Z Installing dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:31.4346158Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:31.8706030Z Processing ./dist/audio/torchaudio-2.8.0a0+bdb88e1-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:31.8836441Z Installing collected packages: torchaudio
2025-08-14T21:33:32.1936277Z Successfully installed torchaudio-2.8.0a0+bdb88e1
2025-08-14T21:33:32.2381876Z + install_torchvision
2025-08-14T21:33:32.2382254Z + local orig_preload
2025-08-14T21:33:32.2382624Z + local commit
2025-08-14T21:33:32.2384735Z ++ get_pinned_commit vision
2025-08-14T21:33:32.2385105Z ++ cat .github/ci_commit_pins/vision.txt
2025-08-14T21:33:32.2400964Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:33:32.2401427Z + orig_preload=
2025-08-14T21:33:32.2401799Z + '[' -n '' ']'
2025-08-14T21:33:32.2402109Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]]
2025-08-14T21:33:32.2402891Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-08-14T21:33:32.2403925Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-08-14T21:33:32.2404613Z + local wheel_dir=dist/vision
2025-08-14T21:33:32.2404940Z + local found_whl=0
2025-08-14T21:33:32.2405220Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:33:32.2405740Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]]
2025-08-14T21:33:32.2406276Z + found_whl=1
2025-08-14T21:33:32.2406514Z + break
2025-08-14T21:33:32.2406750Z + '[' 1 == 0 ']'
2025-08-14T21:33:32.2407031Z + for file in "${wheel_dir}"/*.whl
2025-08-14T21:33:32.2407580Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:32.2408340Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl')
2025-08-14T21:33:32.2408865Z + local args
2025-08-14T21:33:32.2409308Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]]
2025-08-14T21:33:32.2409872Z + for path in "${args[@]}"
2025-08-14T21:33:32.2410415Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl'
2025-08-14T21:33:32.2411207Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:32.2412092Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:32.6765255Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl
2025-08-14T21:33:32.6897300Z Installing collected packages: torchvision
2025-08-14T21:33:33.2345880Z Successfully installed torchvision-0.22.0a0+966da7e
2025-08-14T21:33:33.2798190Z + '[' -n '' ']'
2025-08-14T21:33:33.2798534Z + id=0
2025-08-14T21:33:33.2798810Z + pip_install opencv-python==4.8.0.74
2025-08-14T21:33:33.2799301Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-08-14T21:33:33.2799887Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-08-14T21:33:33.8254914Z Collecting opencv-python==4.8.0.74
2025-08-14T21:33:33.8369790Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-08-14T21:33:33.8446897Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-08-14T21:33:33.8534420Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-08-14T21:33:35.6235593Z Installing collected packages: opencv-python
2025-08-14T21:33:35.6236085Z   Attempting uninstall: opencv-python
2025-08-14T21:33:35.6255189Z     Found existing installation: opencv-python 4.11.0.86
2025-08-14T21:33:35.6357335Z     Uninstalling opencv-python-4.11.0.86:
2025-08-14T21:33:35.7581399Z       Successfully uninstalled opencv-python-4.11.0.86
2025-08-14T21:33:36.8184961Z Successfully installed opencv-python-4.8.0.74
2025-08-14T21:33:36.9222286Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor_torchbench_smoketest_perf* ]]
2025-08-14T21:33:36.9223417Z + [[ cpu_inductor_freezing_avx2_torchbench == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-08-14T21:33:36.9224188Z + [[ cpu_inductor_freezing_avx2_torchbench == *torchbench_gcp_smoketest* ]]
2025-08-14T21:33:36.9224855Z + [[ cpu_inductor_freezing_avx2_torchbench != *cpu* ]]
2025-08-14T21:33:36.9225294Z + PYTHONPATH=/torchbench
2025-08-14T21:33:36.9225944Z + test_dynamo_benchmark torchbench 0
2025-08-14T21:33:36.9229740Z ++ pwd
2025-08-14T21:33:36.9232144Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:33:36.9232818Z + local suite=torchbench
2025-08-14T21:33:36.9233125Z + shift
2025-08-14T21:33:36.9233377Z + local shard_id=0
2025-08-14T21:33:36.9233651Z + shift
2025-08-14T21:33:36.9233991Z + [[ cpu_inductor_freezing_avx2_torchbench == *perf_compare* ]]
2025-08-14T21:33:36.9234616Z + [[ cpu_inductor_freezing_avx2_torchbench == *perf* ]]
2025-08-14T21:33:36.9235080Z + [[ cpu_inductor_freezing_avx2_torchbench == *cpu* ]]
2025-08-14T21:33:36.9235467Z + local dt=float32
2025-08-14T21:33:36.9235801Z + [[ cpu_inductor_freezing_avx2_torchbench == *amp* ]]
2025-08-14T21:33:36.9236292Z + [[ cpu_inductor_freezing_avx2_torchbench == *freezing* ]]
2025-08-14T21:33:36.9237041Z + test_single_dynamo_benchmark inference torchbench 0 --inference --float32 --freezing
2025-08-14T21:33:36.9237608Z ++ pwd
2025-08-14T21:33:36.9239193Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:33:36.9239736Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-08-14T21:33:36.9258333Z + local name=inference
2025-08-14T21:33:36.9258817Z + shift
2025-08-14T21:33:36.9259087Z + local suite=torchbench
2025-08-14T21:33:36.9259424Z + shift
2025-08-14T21:33:36.9259671Z + local shard_id=0
2025-08-14T21:33:36.9259940Z + shift
2025-08-14T21:33:36.9260199Z + partition_flags=()
2025-08-14T21:33:36.9260488Z + local partition_flags
2025-08-14T21:33:36.9260783Z + [[ -n 2 ]]
2025-08-14T21:33:36.9261033Z + [[ -n 0 ]]
2025-08-14T21:33:36.9261487Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id")
2025-08-14T21:33:36.9262171Z + [[ cpu_inductor_freezing_avx2_torchbench == *perf_compare* ]]
2025-08-14T21:33:36.9262786Z + [[ cpu_inductor_freezing_avx2_torchbench == *perf* ]]
2025-08-14T21:33:36.9263438Z + [[ cpu_inductor_freezing_avx2_torchbench == *_avx2* ]]
2025-08-14T21:33:36.9263923Z + TEST_CONFIG=cpu_inductor_freezing_torchbench
2025-08-14T21:33:36.9264387Z + [[ cpu_inductor_freezing_torchbench == *_avx512* ]]
2025-08-14T21:33:36.9265975Z + python benchmarks/dynamo/torchbench.py --ci --accuracy --timing --explain --print-compilation-time --inductor --device cpu --inference --float32 --freezing --total-partitions 2 --partition-id 0 --output /var/lib/jenkins/workspace/test/test-reports/inference_torchbench.csv
2025-08-14T21:33:44.0136364Z 
2025-08-14T21:33:46.4086143Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:33:46.4087135Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:33:46.4120055Z cpu  eval  BERT_pytorch                       
2025-08-14T21:33:47.0801937Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:47.4134912Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:33:47.7645803Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:05.5217576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5218696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5219955Z     return mod(*inputs)
2025-08-14T21:34:05.5220715Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5221502Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5222194Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 44, in forward
2025-08-14T21:34:05.5223336Z     mask = (x > 0).unsqueeze(1).repeat(1, x.size(1), 1).unsqueeze(1)
2025-08-14T21:34:05.5223786Z 
2025-08-14T21:34:05.5224059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5224806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5225637Z     return mod(*inputs)
2025-08-14T21:34:05.5227281Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5228327Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5229072Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 47, in forward
2025-08-14T21:34:05.5229847Z     x = self.embedding(x, segment_info)
2025-08-14T21:34:05.5230707Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward
2025-08-14T21:34:05.5231803Z     x = self.token(sequence) + self.position(sequence) + self.segment(segment_label)
2025-08-14T21:34:05.5232257Z 
2025-08-14T21:34:05.5232406Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5232954Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5233439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5234194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5234871Z     return mod(*inputs)
2025-08-14T21:34:05.5235863Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5236607Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5237265Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5237952Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5238643Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5239533Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5240316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5241109Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5241903Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5242702Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5243540Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5244422Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5245271Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5246354Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5246802Z 
2025-08-14T21:34:05.5247000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5247902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5248541Z     return mod(*inputs)
2025-08-14T21:34:05.5249205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5249955Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5250605Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5251363Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5252075Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5252826Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5254066Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5254950Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5255743Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5256534Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5257498Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5258387Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5259246Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5260151Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5260595Z 
2025-08-14T21:34:05.5260790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5261497Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5262142Z     return mod(*inputs)
2025-08-14T21:34:05.5262895Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5263834Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5264581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5265278Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5266081Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5266854Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5267645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5268468Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5269278Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5270102Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5270968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5271938Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5272824Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5273829Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5274386Z 
2025-08-14T21:34:05.5274542Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5274975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5275680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5276319Z     return mod(*inputs)
2025-08-14T21:34:05.5277097Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5277835Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5278492Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5279185Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5279874Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5280629Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5281385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5282170Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5282952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5283736Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5284566Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5285424Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5286272Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5287116Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5287392Z 
2025-08-14T21:34:05.5287596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5288287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5288932Z     return mod(*inputs)
2025-08-14T21:34:05.5289599Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5290313Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5290968Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5291649Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5292339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5293085Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5293837Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5294637Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5295404Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5296187Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5297012Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5298081Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5298931Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5299704Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5299987Z 
2025-08-14T21:34:05.5300195Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5300885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5301527Z     return mod(*inputs)
2025-08-14T21:34:05.5302186Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5303208Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5303871Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5304574Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5305394Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5306165Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5306933Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5307766Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5308571Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5309368Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5310222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5311142Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5311537Z 
2025-08-14T21:34:05.5311701Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5312093Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5312553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5313282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5313926Z     return mod(*inputs)
2025-08-14T21:34:05.5314791Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5315524Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5316181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5316850Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5317557Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5318305Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5319047Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5319862Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5320682Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5321524Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5321865Z 
2025-08-14T21:34:05.5322005Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5322392Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5322781Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5323209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5323918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5324555Z     return mod(*inputs)
2025-08-14T21:34:05.5325217Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5325932Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5326591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5327276Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5327964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5328712Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5329463Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5330266Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5331031Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5331815Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5332644Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5333626Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5334467Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5335382Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5335809Z 
2025-08-14T21:34:05.5336019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5336712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5337352Z     return mod(*inputs)
2025-08-14T21:34:05.5338016Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5338744Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5339388Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5340082Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5340785Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5341516Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5342335Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5343414Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5344219Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5345015Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5345869Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5346778Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5347660Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5348585Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5349035Z 
2025-08-14T21:34:05.5349237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5349966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5350612Z     return mod(*inputs)
2025-08-14T21:34:05.5351295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5352051Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5352726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5353937Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5354673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5355563Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5356328Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5357124Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5357908Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5358695Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5359508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5360453Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5367430Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5370110Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5371235Z 
2025-08-14T21:34:05.5371725Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5372179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5372895Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5373524Z     return mod(*inputs)
2025-08-14T21:34:05.5374187Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5374914Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5375565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5376240Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5376941Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5377721Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5378481Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5379289Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5381329Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5382121Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5383220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5384115Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5384998Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5385795Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5386081Z 
2025-08-14T21:34:05.5386300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5387017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5387678Z     return mod(*inputs)
2025-08-14T21:34:05.5388367Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5389131Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5389793Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5390499Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5391224Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5391982Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5392769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5393604Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5394520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5395411Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5396182Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5396992Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5397766Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5398468Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5398735Z 
2025-08-14T21:34:05.5398908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5399554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5400129Z     return mod(*inputs)
2025-08-14T21:34:05.5400796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5401665Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5402291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5402950Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5403629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5404350Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5405069Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5405848Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5406604Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5407373Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5408169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5409100Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5409473Z 
2025-08-14T21:34:05.5409623Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5409990Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5410421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5411104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5411723Z     return mod(*inputs)
2025-08-14T21:34:05.5412353Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5413176Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5413779Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5414393Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5415036Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5415725Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5416416Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5417137Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5417888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5418656Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5418967Z 
2025-08-14T21:34:05.5419108Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5419454Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5419814Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5420216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5420849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5421440Z     return mod(*inputs)
2025-08-14T21:34:05.5422045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5428155Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5429895Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5431673Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5433495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5434989Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5435861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5436669Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5437437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5438228Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5439058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5439937Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5440776Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5441685Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5442243Z 
2025-08-14T21:34:05.5442420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5443072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5443646Z     return mod(*inputs)
2025-08-14T21:34:05.5444258Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5444990Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5445578Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5446203Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5446848Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5447537Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5448218Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5448957Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5449679Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5450405Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5451151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5451959Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5452739Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5454102Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5454543Z 
2025-08-14T21:34:05.5454738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5455446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5456085Z     return mod(*inputs)
2025-08-14T21:34:05.5456738Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5457469Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5458125Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5458816Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5459500Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5460248Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5461006Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5461797Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5462673Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5463788Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5464651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5465544Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5466431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5467367Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5467806Z 
2025-08-14T21:34:05.5467970Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5468417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5469144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5469807Z     return mod(*inputs)
2025-08-14T21:34:05.5470479Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5471242Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5471920Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5472700Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5473431Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5474310Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5475044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5475810Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5476563Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5477321Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5478124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5478959Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5479783Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5480532Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5480799Z 
2025-08-14T21:34:05.5480982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5481663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5482279Z     return mod(*inputs)
2025-08-14T21:34:05.5482917Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5483609Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5484248Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5484910Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5486034Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5486789Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5487546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5488346Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5489111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5489927Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5490782Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5491660Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5492579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5493350Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5493631Z 
2025-08-14T21:34:05.5493843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5494539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5495186Z     return mod(*inputs)
2025-08-14T21:34:05.5495853Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5496586Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5497228Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5497909Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5498612Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5499339Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5500093Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5500959Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5501735Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5502508Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5503615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5504544Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5504939Z 
2025-08-14T21:34:05.5505100Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5505490Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5505956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5506684Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5507325Z     return mod(*inputs)
2025-08-14T21:34:05.5508015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5508766Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5509436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5510123Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5510844Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5511614Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5512379Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5513213Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5514060Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5515232Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5515546Z 
2025-08-14T21:34:05.5515677Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5516038Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5516392Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5516783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5517438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5518024Z     return mod(*inputs)
2025-08-14T21:34:05.5518629Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5519288Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5519952Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5520578Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5521203Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5521891Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5522580Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5523314Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5524015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5524744Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5525505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5526315Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5527085Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5527979Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5528368Z 
2025-08-14T21:34:05.5528558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5529190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5529782Z     return mod(*inputs)
2025-08-14T21:34:05.5530390Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5531063Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5531653Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5532292Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5532938Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5533612Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5534310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5535053Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5535775Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5536483Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5537245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5538054Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5538841Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5539662Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5540068Z 
2025-08-14T21:34:05.5540252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5540903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5541474Z     return mod(*inputs)
2025-08-14T21:34:05.5542078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5542826Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5543634Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5544484Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5545200Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5546053Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5546822Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5547729Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5548638Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5549448Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5550291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5551196Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5552078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5553015Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5553870Z 
2025-08-14T21:34:05.5554020Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5554477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5555331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5556097Z     return mod(*inputs)
2025-08-14T21:34:05.5556765Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5557496Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5558154Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5558828Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5559531Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5560277Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5561023Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5561828Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5562615Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5563401Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5564220Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5565096Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5565945Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5566716Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5566991Z 
2025-08-14T21:34:05.5567181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5567995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5568615Z     return mod(*inputs)
2025-08-14T21:34:05.5569242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5569953Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5570587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5571245Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5571908Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5572632Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5573362Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5574222Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5574970Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5575731Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5576539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5577379Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5578205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5578951Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5579217Z 
2025-08-14T21:34:05.5579418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5580089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5580707Z     return mod(*inputs)
2025-08-14T21:34:05.5581354Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5582047Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5582763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5583859Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5584586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5585347Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5586124Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5586952Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5587747Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5588559Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5589411Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5590331Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5590729Z 
2025-08-14T21:34:05.5590876Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5591279Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5591734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5592463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5593107Z     return mod(*inputs)
2025-08-14T21:34:05.5593788Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5594654Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5595301Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5596076Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5596761Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5597489Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5598383Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5599186Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5600004Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5600836Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5601193Z 
2025-08-14T21:34:05.5601336Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5601727Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5602393Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5602821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5603527Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5604175Z     return mod(*inputs)
2025-08-14T21:34:05.5604824Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5605555Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5606322Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5606984Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5607650Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5608536Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5609291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5610149Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5616819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5619034Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5620307Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5621173Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5622026Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5623208Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5623642Z 
2025-08-14T21:34:05.5623855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5624571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5625232Z     return mod(*inputs)
2025-08-14T21:34:05.5625911Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5626656Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5627330Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5628032Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5628752Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5629507Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5630283Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5631108Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5631915Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5632708Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5633564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5634582Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5635482Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5648015Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5648534Z 
2025-08-14T21:34:05.5648743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5649447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5650082Z     return mod(*inputs)
2025-08-14T21:34:05.5650849Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5651574Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5652222Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5652892Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5654208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5654963Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5655712Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5656526Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5657313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5658110Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5658930Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5659812Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5660797Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5661712Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5662135Z 
2025-08-14T21:34:05.5662283Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5662831Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5663739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5664387Z     return mod(*inputs)
2025-08-14T21:34:05.5665069Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5665830Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5666508Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5667200Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5667921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5668689Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5669453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5670274Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5671078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5671886Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5672808Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5678486Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5679343Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5680118Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5680398Z 
2025-08-14T21:34:05.5680592Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5681300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5681940Z     return mod(*inputs)
2025-08-14T21:34:05.5682589Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5683320Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5683975Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5684778Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5685473Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5686229Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5686987Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5687780Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5688558Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5689348Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5690176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5691034Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5691886Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5692747Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5693014Z 
2025-08-14T21:34:05.5693277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5694047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5694633Z     return mod(*inputs)
2025-08-14T21:34:05.5695245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5695904Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5696506Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5697131Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5697772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5698448Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5699141Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5699881Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5700586Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5701305Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5702062Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5703134Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5703537Z 
2025-08-14T21:34:05.5703681Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5704253Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5704712Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5705440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5706082Z     return mod(*inputs)
2025-08-14T21:34:05.5706773Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5707525Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5708188Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5708890Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5709616Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5710386Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5711151Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5712049Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5712897Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5713750Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5714121Z 
2025-08-14T21:34:05.5714268Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5714670Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5715274Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5715687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5716376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5716996Z     return mod(*inputs)
2025-08-14T21:34:05.5717621Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5718325Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5718963Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5719629Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5720297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5721102Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5721839Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5722610Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5723466Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5724190Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5724951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5725751Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5726536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5727371Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5727761Z 
2025-08-14T21:34:05.5727950Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5728589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5729176Z     return mod(*inputs)
2025-08-14T21:34:05.5729787Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5730447Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5731045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5731679Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5732325Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5733000Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5733699Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5734436Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5735676Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5736489Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5737320Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5738200Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5739116Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5740026Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5740528Z 
2025-08-14T21:34:05.5740725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5741437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5742062Z     return mod(*inputs)
2025-08-14T21:34:05.5742811Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5743747Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5744408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5745112Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5745835Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5746609Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5747377Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5748313Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5749117Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5749914Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5750769Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5751674Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5752556Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5753952Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5754415Z 
2025-08-14T21:34:05.5754567Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5755146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5755859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5756492Z     return mod(*inputs)
2025-08-14T21:34:05.5757156Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5757890Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5758534Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5759214Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5759914Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5760656Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5761409Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5762217Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5763000Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5763774Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5764603Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5765589Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5766417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5767153Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5767427Z 
2025-08-14T21:34:05.5767606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5768404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5769022Z     return mod(*inputs)
2025-08-14T21:34:05.5769636Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5770340Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5770974Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5771616Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5772287Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5773002Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5773726Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5774487Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5775232Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5775989Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5776850Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5777690Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5778505Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5779242Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5779504Z 
2025-08-14T21:34:05.5779682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5780357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5780967Z     return mod(*inputs)
2025-08-14T21:34:05.5781602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5782291Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5783166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5783871Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5784576Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5785336Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5786102Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5786924Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5787708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5788514Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5789361Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5790271Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5790667Z 
2025-08-14T21:34:05.5790812Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5791206Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5791652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5792364Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5793016Z     return mod(*inputs)
2025-08-14T21:34:05.5793689Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5794544Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5795251Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5796017Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5796687Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5797550Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5798472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5799260Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5800058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5800879Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5801224Z 
2025-08-14T21:34:05.5801362Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5801746Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5802108Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5802542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5803239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5803936Z     return mod(*inputs)
2025-08-14T21:34:05.5804580Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5805297Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5805941Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5806605Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5807297Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5808021Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5808761Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5809548Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5810318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5811097Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5811911Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5812767Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5813602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5814496Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5814911Z 
2025-08-14T21:34:05.5815095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5815795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5816425Z     return mod(*inputs)
2025-08-14T21:34:05.5817064Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5817782Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5818423Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5819091Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5819772Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5820502Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5821243Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5822028Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5823096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5823902Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5824748Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5825642Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5826495Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5827414Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5827843Z 
2025-08-14T21:34:05.5828045Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5828758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5829403Z     return mod(*inputs)
2025-08-14T21:34:05.5830078Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5830818Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5831473Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5832242Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5832955Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5833717Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5834584Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5835376Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5836148Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5836916Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5837734Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5838598Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5839447Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5840336Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5840764Z 
2025-08-14T21:34:05.5840905Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5841341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5842117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5842720Z     return mod(*inputs)
2025-08-14T21:34:05.5843350Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5844054Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5844670Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5845324Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5845997Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5846704Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5847427Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5848367Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5849137Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5849899Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5850767Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5851641Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5852485Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5853629Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5853922Z 
2025-08-14T21:34:05.5854114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5854815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5855434Z     return mod(*inputs)
2025-08-14T21:34:05.5856082Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5856797Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5857446Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5858118Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5858809Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5859537Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5865417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5866249Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5867045Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5867846Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5868680Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5869570Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5870445Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5871224Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5871505Z 
2025-08-14T21:34:05.5871710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5872425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5873075Z     return mod(*inputs)
2025-08-14T21:34:05.5873740Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5874590Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5875233Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5875906Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5876591Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5877422Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5878140Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5878918Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5879658Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5880408Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5881197Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5882224Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5882608Z 
2025-08-14T21:34:05.5882748Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5883127Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5883669Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5884367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5884997Z     return mod(*inputs)
2025-08-14T21:34:05.5885760Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5886452Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5887079Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5887728Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5888398Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5889101Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5889825Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5890598Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5891376Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5892178Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5892574Z 
2025-08-14T21:34:05.5892710Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5893085Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5893441Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5893863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5894546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5895143Z     return mod(*inputs)
2025-08-14T21:34:05.5895777Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5896473Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5897100Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5897740Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5898408Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5899123Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5899839Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5900607Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5901352Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5902101Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5903133Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5904004Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5905053Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5905988Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5906420Z 
2025-08-14T21:34:05.5906617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5907336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5907982Z     return mod(*inputs)
2025-08-14T21:34:05.5908645Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5909396Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5910058Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5910748Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5911519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5912278Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5913056Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5913868Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5914659Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5915648Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5916443Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5917276Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5918093Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5918968Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5919377Z 
2025-08-14T21:34:05.5919571Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5920295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5920905Z     return mod(*inputs)
2025-08-14T21:34:05.5921530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5922220Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5928094Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5928777Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5929472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5930212Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5930966Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5931760Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5932536Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5933301Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5934127Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5934992Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5935829Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.5936721Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.5937158Z 
2025-08-14T21:34:05.5937296Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5937730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5938424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5939048Z     return mod(*inputs)
2025-08-14T21:34:05.5939696Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5940416Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5941059Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5941726Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5942413Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5943426Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5944296Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5945121Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5945913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5946720Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5947550Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5948448Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5949318Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5950093Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5950384Z 
2025-08-14T21:34:05.5950575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5951292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5951939Z     return mod(*inputs)
2025-08-14T21:34:05.5952680Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5954294Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5955292Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5955969Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5956651Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5957381Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5958121Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5959089Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5960132Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5960908Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5961728Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5962589Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5963523Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.5964278Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.5964551Z 
2025-08-14T21:34:05.5964741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5965436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5966059Z     return mod(*inputs)
2025-08-14T21:34:05.5966708Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5967418Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5968061Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5968734Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5969417Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5970168Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5970921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5971710Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5972472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5973746Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5974579Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.5975469Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.5975859Z 
2025-08-14T21:34:05.5976005Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5976392Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5976829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5977518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5978236Z     return mod(*inputs)
2025-08-14T21:34:05.5978892Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5979619Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5980260Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5980933Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5981619Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.5982436Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.5983434Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5984252Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5985150Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.5986107Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.5986454Z 
2025-08-14T21:34:05.5986595Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5986988Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5987381Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.5987822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.5988542Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.5989189Z     return mod(*inputs)
2025-08-14T21:34:05.5989856Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.5990596Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.5991261Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.5991954Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.5992657Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.5993414Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.5994183Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.5995004Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.5995888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.5996668Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.5997484Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.5998344Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.5999181Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6000072Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6000493Z 
2025-08-14T21:34:05.6000690Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6001449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6002078Z     return mod(*inputs)
2025-08-14T21:34:05.6002724Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6003447Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6004086Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6004752Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6005439Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6006222Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6006964Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6007751Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6008520Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6009288Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6010103Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6011031Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6011857Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6012751Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6013176Z 
2025-08-14T21:34:05.6013363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6014058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6014675Z     return mod(*inputs)
2025-08-14T21:34:05.6015326Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6016042Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6016683Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6017352Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6018048Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6018782Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6019519Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6020314Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6021088Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6021862Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6022763Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6023826Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6024698Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6025608Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6026054Z 
2025-08-14T21:34:05.6026201Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6026646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6027368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6028016Z     return mod(*inputs)
2025-08-14T21:34:05.6028704Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6029527Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6030208Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6030897Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6031632Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6032406Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6033176Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6034003Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6034910Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6035698Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6036518Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6037393Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6038245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6039063Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6039351Z 
2025-08-14T21:34:05.6039543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6040250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6040886Z     return mod(*inputs)
2025-08-14T21:34:05.6041533Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6042263Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6042921Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6043608Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6044291Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6045036Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6045794Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6046580Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6047363Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6048323Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6049153Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6050019Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6050882Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6051652Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6051927Z 
2025-08-14T21:34:05.6052137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6052832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6053874Z     return mod(*inputs)
2025-08-14T21:34:05.6054546Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6055267Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6055928Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6056614Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6057309Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6058212Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6058978Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6059788Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6060554Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6061339Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6062168Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.6063348Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.6063745Z 
2025-08-14T21:34:05.6063891Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6064289Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6064742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6065463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6066115Z     return mod(*inputs)
2025-08-14T21:34:05.6066796Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6067634Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6068290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6068992Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6069716Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.6070465Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.6071242Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6072077Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6072913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.6073764Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.6074145Z 
2025-08-14T21:34:05.6074397Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6074785Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6075252Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6075680Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6076363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6076981Z     return mod(*inputs)
2025-08-14T21:34:05.6077602Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6078305Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6078940Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6079578Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6080252Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6080973Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6081697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6082455Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6083209Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6083966Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6084749Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6085657Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6086478Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6087356Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6087767Z 
2025-08-14T21:34:05.6087948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6088633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6089250Z     return mod(*inputs)
2025-08-14T21:34:05.6089888Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6090575Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6091205Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6091866Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6092530Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6093248Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6094044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6094816Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6095556Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6096310Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6097107Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6097951Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6098934Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6099836Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6100255Z 
2025-08-14T21:34:05.6100456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6101151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6101785Z     return mod(*inputs)
2025-08-14T21:34:05.6102437Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6103251Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6103896Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6104774Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6105488Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6106243Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6107020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6107838Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6108640Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6109423Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6115169Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6116204Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6117057Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6117950Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6118474Z 
2025-08-14T21:34:05.6118620Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6119065Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6119751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6120388Z     return mod(*inputs)
2025-08-14T21:34:05.6121049Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6121777Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6122414Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6123089Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6123784Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6124510Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6125264Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6126062Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6126843Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6127683Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6128506Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6129474Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6130290Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6131016Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6131290Z 
2025-08-14T21:34:05.6131473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6132156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6132754Z     return mod(*inputs)
2025-08-14T21:34:05.6133385Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6134097Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6134733Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6135375Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6136055Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6136779Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6137494Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6138270Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6139037Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6139793Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6140587Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6141429Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6142253Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6143245Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6143530Z 
2025-08-14T21:34:05.6143724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6144476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6145130Z     return mod(*inputs)
2025-08-14T21:34:05.6145868Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6146622Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6147295Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6147996Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6148705Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6149470Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6150247Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6151059Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6151861Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6152666Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6153951Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.6154865Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.6155408Z 
2025-08-14T21:34:05.6155551Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6156063Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6156493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6157184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6157811Z     return mod(*inputs)
2025-08-14T21:34:05.6158469Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6159183Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6159834Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6160515Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6161212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.6161945Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.6162701Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6163496Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6164293Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.6165142Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.6165603Z 
2025-08-14T21:34:05.6165741Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6166115Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6166473Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6166894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6167580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6168179Z     return mod(*inputs)
2025-08-14T21:34:05.6178201Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6178955Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6179624Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6180308Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6180992Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6181741Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6182490Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6183755Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6184564Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6185379Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6186223Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6187125Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6187996Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6188925Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6189362Z 
2025-08-14T21:34:05.6189561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6190286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6190940Z     return mod(*inputs)
2025-08-14T21:34:05.6191612Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6192411Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6193077Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6193776Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6194572Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6195294Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6196020Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6196793Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6197539Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6198299Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6199096Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6199946Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6200753Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6201622Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6202030Z 
2025-08-14T21:34:05.6202225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6202890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6203506Z     return mod(*inputs)
2025-08-14T21:34:05.6204144Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6204839Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6205453Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6206108Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6206781Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6207484Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6208206Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6208975Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6209720Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6210461Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6211321Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6212168Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6212994Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6213856Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6214275Z 
2025-08-14T21:34:05.6214415Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6214840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6215509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6216122Z     return mod(*inputs)
2025-08-14T21:34:05.6216758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6217464Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6218083Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6218736Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6219475Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6220179Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6220913Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6221686Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6222436Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6223455Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6224316Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6225215Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6226090Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6226872Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6227168Z 
2025-08-14T21:34:05.6227363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6228085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6228725Z     return mod(*inputs)
2025-08-14T21:34:05.6229402Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6230149Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6230819Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6231507Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6232226Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6232985Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6233749Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6234570Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6235666Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6236461Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6237277Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6238155Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6239082Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6239848Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6240128Z 
2025-08-14T21:34:05.6240318Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6241027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6241663Z     return mod(*inputs)
2025-08-14T21:34:05.6242310Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6243037Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6243680Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6244356Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6245043Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6245788Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6246538Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6247324Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6248158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6248935Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6249758Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.6250634Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.6251022Z 
2025-08-14T21:34:05.6251163Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6251548Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6251981Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6252678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6253693Z     return mod(*inputs)
2025-08-14T21:34:05.6254359Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6255083Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6255744Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6256421Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6257118Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.6257846Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.6258598Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6259392Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6260196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.6261033Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.6261388Z 
2025-08-14T21:34:05.6261529Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6261912Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6262281Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6262821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6263719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6264361Z     return mod(*inputs)
2025-08-14T21:34:05.6265044Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6265789Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6266582Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6267269Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6267984Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6268753Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6269510Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6270333Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6271127Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6271927Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6272759Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6273661Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6274639Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6275618Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6276128Z 
2025-08-14T21:34:05.6276311Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6276990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6277602Z     return mod(*inputs)
2025-08-14T21:34:05.6278225Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6278930Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6279565Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6280223Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6280893Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6281611Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6282339Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6283108Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6283859Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6284612Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6285411Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6286323Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6287102Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6287925Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6288311Z 
2025-08-14T21:34:05.6288498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6289130Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6289707Z     return mod(*inputs)
2025-08-14T21:34:05.6290303Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6290955Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6291548Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6292171Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6292808Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6293537Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6294227Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6294954Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6295655Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6296367Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6297115Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6303451Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6304313Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 24, in forward
2025-08-14T21:34:05.6305244Z     scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(query.size(-1))
2025-08-14T21:34:05.6305689Z 
2025-08-14T21:34:05.6305840Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6306295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6307004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6307727Z     return mod(*inputs)
2025-08-14T21:34:05.6308399Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6309130Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6309798Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6310494Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6311212Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6311962Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6312742Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6313559Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6314457Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6315238Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6316158Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6316998Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6317812Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6318553Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6318817Z 
2025-08-14T21:34:05.6319010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6319691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6320295Z     return mod(*inputs)
2025-08-14T21:34:05.6320926Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6321629Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6322256Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6322913Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6323575Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6324288Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6325005Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6325765Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6326697Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6327412Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6328166Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 48, in forward
2025-08-14T21:34:05.6328962Z     x, attn = self.attention(query, key, value, self.dropout, mask=mask)
2025-08-14T21:34:05.6329727Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/single.py", line 41, in forward
2025-08-14T21:34:05.6330422Z     return torch.matmul(p_attn, value), p_attn
2025-08-14T21:34:05.6330672Z 
2025-08-14T21:34:05.6330855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6331486Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6332067Z     return mod(*inputs)
2025-08-14T21:34:05.6332668Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6333321Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6333910Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6334611Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6335245Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 48, in forward
2025-08-14T21:34:05.6335913Z     x = self.input_sublayer(x, self.lambda_module)
2025-08-14T21:34:05.6336592Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6337319Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6338015Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 19, in forward
2025-08-14T21:34:05.6338720Z     return self.attention.forward(x, x, x, mask=self.mask)
2025-08-14T21:34:05.6339472Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/attention/multi_head.py", line 51, in forward
2025-08-14T21:34:05.6340276Z     x = x.transpose(1, 2).contiguous().view(batch_size, -1, self.h * self.d_k)
2025-08-14T21:34:05.6340628Z 
2025-08-14T21:34:05.6340754Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6341105Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6341500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6342131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6342787Z     return mod(*inputs)
2025-08-14T21:34:05.6343593Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6344492Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6345152Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6345849Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6346561Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.6347318Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.6348092Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6348916Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6349746Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/feed_forward.py", line 15, in forward
2025-08-14T21:34:05.6350593Z     return self.w_2(self.dropout(self.activation(self.w_1(x))))
2025-08-14T21:34:05.6350947Z 
2025-08-14T21:34:05.6351090Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6351541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:05.6352325Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:05.6352971Z     return mod(*inputs)
2025-08-14T21:34:05.6354196Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/language_model.py", line 24, in forward
2025-08-14T21:34:05.6354951Z     x = self.bert(x, segment_label)
2025-08-14T21:34:05.6355614Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 51, in forward
2025-08-14T21:34:05.6356422Z     x = transformer.forward(x, mask)
2025-08-14T21:34:05.6357111Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/transformer.py", line 49, in forward
2025-08-14T21:34:05.6357839Z     x = self.output_sublayer(x, self.feed_forward)
2025-08-14T21:34:05.6358581Z   File "/torchbench/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/utils/sublayer.py", line 20, in forward
2025-08-14T21:34:05.6359374Z     return x + self.dropout(sublayer.forward(self.norm(x)))
2025-08-14T21:34:05.6359698Z 
2025-08-14T21:34:05.6359866Z cudagraph partition due to non gpu ops
2025-08-14T21:34:05.6360283Z cudagraph partition due to non gpu ops
2025-08-14T21:34:20.3746728Z Compilation time (from dynamo_timed): 30.813599654
2025-08-14T21:34:20.3806968Z pass
2025-08-14T21:34:20.3808935Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:20.3810578Z TIMING: _recursive_pre_grad_passes:0.26049 _recursive_joint_graph_passes:0.75955 _recursive_post_grad_passes:0.2197 async_compile.wait:0.89868 code_gen:14.25485 inductor_compile:18.49342 backend_compile:26.94097 gc:0.00014 entire_frame_compile:30.8136 total_wall_time:30.8136
2025-08-14T21:34:20.3812424Z STATS: call_* op count: 543 | FakeTensor.__torch_dispatch__:4627 | FakeTensorMode.__torch_dispatch__:30474 | ProxyTorchDispatchMode.__torch_dispatch__:7130
2025-08-14T21:34:20.3813426Z Dynamo produced 1 graphs covering 543 ops with 0 graph breaks (0 unique)
2025-08-14T21:34:25.5041714Z 
2025-08-14T21:34:29.8008107Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:29.8008568Z loading model: 0it [00:04, ?it/s]
2025-08-14T21:34:29.8025609Z cpu  eval  Background_Matting                 
2025-08-14T21:34:29.8982683Z Compilation time (from dynamo_timed): 0
2025-08-14T21:34:29.8983265Z pass_due_to_skip
2025-08-14T21:34:29.8983984Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:29.8984637Z TIMING: total_wall_time:0
2025-08-14T21:34:29.8984960Z STATS: call_* op count: 0
2025-08-14T21:34:29.8985415Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T21:34:34.3447869Z 
2025-08-14T21:34:37.0921579Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:34:37.0922102Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:34:37.0928264Z cpu  eval  LearningToPaint                    
2025-08-14T21:34:37.2395546Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:37.2861381Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:37.3315626Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:45.3931424Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.3931971Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3932696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3933348Z     return mod(*inputs)
2025-08-14T21:34:45.3933971Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-14T21:34:45.3934686Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3934961Z 
2025-08-14T21:34:45.3935158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3935909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3936552Z     return mod(*inputs)
2025-08-14T21:34:45.3937524Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 128, in forward
2025-08-14T21:34:45.3938236Z     x = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3938502Z 
2025-08-14T21:34:45.3938702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3939405Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3940030Z     return mod(*inputs)
2025-08-14T21:34:45.3940652Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:34:45.3941333Z     x = self.layer1(x)
2025-08-14T21:34:45.3941944Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3942628Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3943013Z 
2025-08-14T21:34:45.3943203Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3944132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3944772Z     return mod(*inputs)
2025-08-14T21:34:45.3945414Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:34:45.3946268Z     x = self.layer1(x)
2025-08-14T21:34:45.3946897Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3947600Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3947877Z 
2025-08-14T21:34:45.3948069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3948789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3949428Z     return mod(*inputs)
2025-08-14T21:34:45.3950070Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:34:45.3950766Z     x = self.layer1(x)
2025-08-14T21:34:45.3951399Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.3952079Z     out = F.relu(out)
2025-08-14T21:34:45.3952275Z 
2025-08-14T21:34:45.3952466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3953732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3954388Z     return mod(*inputs)
2025-08-14T21:34:45.3955035Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:34:45.3955848Z     x = self.layer1(x)
2025-08-14T21:34:45.3956461Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.3957118Z     out = F.relu(out)
2025-08-14T21:34:45.3957311Z 
2025-08-14T21:34:45.3957455Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.3957894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3958590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3959224Z     return mod(*inputs)
2025-08-14T21:34:45.3959843Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:34:45.3960525Z     x = self.layer1(x)
2025-08-14T21:34:45.3961119Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3961818Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3962074Z 
2025-08-14T21:34:45.3962272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3962962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3963599Z     return mod(*inputs)
2025-08-14T21:34:45.3964219Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 129, in forward
2025-08-14T21:34:45.3964898Z     x = self.layer1(x)
2025-08-14T21:34:45.3965631Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3966342Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3966598Z 
2025-08-14T21:34:45.3966773Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.3967212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3967906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3968541Z     return mod(*inputs)
2025-08-14T21:34:45.3969165Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:34:45.3969834Z     x = self.layer2(x)
2025-08-14T21:34:45.3970447Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3971149Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3971405Z 
2025-08-14T21:34:45.3971604Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3972300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3972938Z     return mod(*inputs)
2025-08-14T21:34:45.3973563Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:34:45.3974322Z     x = self.layer2(x)
2025-08-14T21:34:45.3974936Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3975638Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3975894Z 
2025-08-14T21:34:45.3976098Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3976787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3977425Z     return mod(*inputs)
2025-08-14T21:34:45.3978047Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:34:45.3978722Z     x = self.layer2(x)
2025-08-14T21:34:45.3979333Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.3980009Z     out = F.relu(out)
2025-08-14T21:34:45.3980194Z 
2025-08-14T21:34:45.3980393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3981083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3981721Z     return mod(*inputs)
2025-08-14T21:34:45.3982341Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:34:45.3983098Z     x = self.layer2(x)
2025-08-14T21:34:45.3983709Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.3984815Z     out = F.relu(out)
2025-08-14T21:34:45.3984997Z 
2025-08-14T21:34:45.3985157Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.3985600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3986322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3986973Z     return mod(*inputs)
2025-08-14T21:34:45.3987603Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:34:45.3988303Z     x = self.layer2(x)
2025-08-14T21:34:45.3988930Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3989636Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3989913Z 
2025-08-14T21:34:45.3990107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3990830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3991483Z     return mod(*inputs)
2025-08-14T21:34:45.3992107Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 130, in forward
2025-08-14T21:34:45.3992879Z     x = self.layer2(x)
2025-08-14T21:34:45.3993508Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3994213Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3994495Z 
2025-08-14T21:34:45.3994641Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.3995092Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.3995812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.3996546Z     return mod(*inputs)
2025-08-14T21:34:45.3997170Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:34:45.3997847Z     x = self.layer3(x)
2025-08-14T21:34:45.3998443Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.3999137Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.3999403Z 
2025-08-14T21:34:45.3999595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4000294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4000913Z     return mod(*inputs)
2025-08-14T21:34:45.4001622Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:34:45.4002304Z     x = self.layer3(x)
2025-08-14T21:34:45.4002901Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4003601Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4003870Z 
2025-08-14T21:34:45.4004059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4004760Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4005379Z     return mod(*inputs)
2025-08-14T21:34:45.4006004Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:34:45.4006681Z     x = self.layer3(x)
2025-08-14T21:34:45.4007277Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.4007949Z     out = F.relu(out)
2025-08-14T21:34:45.4008137Z 
2025-08-14T21:34:45.4008320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4009019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4009639Z     return mod(*inputs)
2025-08-14T21:34:45.4010257Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:34:45.4010935Z     x = self.layer3(x)
2025-08-14T21:34:45.4011580Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.4012248Z     out = F.relu(out)
2025-08-14T21:34:45.4012434Z 
2025-08-14T21:34:45.4012572Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.4013012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4013696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4014333Z     return mod(*inputs)
2025-08-14T21:34:45.4014955Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:34:45.4015623Z     x = self.layer3(x)
2025-08-14T21:34:45.4016230Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4016932Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4017185Z 
2025-08-14T21:34:45.4017382Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4018069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4018703Z     return mod(*inputs)
2025-08-14T21:34:45.4019385Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 131, in forward
2025-08-14T21:34:45.4020055Z     x = self.layer3(x)
2025-08-14T21:34:45.4020670Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4021372Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4021626Z 
2025-08-14T21:34:45.4021776Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.4022202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4022988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4023803Z     return mod(*inputs)
2025-08-14T21:34:45.4024431Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:34:45.4025136Z     x = self.layer4(x)
2025-08-14T21:34:45.4025769Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4026498Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4026761Z 
2025-08-14T21:34:45.4026955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4027679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4028403Z     return mod(*inputs)
2025-08-14T21:34:45.4029032Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:34:45.4029732Z     x = self.layer4(x)
2025-08-14T21:34:45.4030359Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4031080Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4031344Z 
2025-08-14T21:34:45.4031539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4032265Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4032924Z     return mod(*inputs)
2025-08-14T21:34:45.4033556Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:34:45.4034258Z     x = self.layer4(x)
2025-08-14T21:34:45.4034986Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.4035755Z     out = F.relu(out)
2025-08-14T21:34:45.4035927Z 
2025-08-14T21:34:45.4036107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4036788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4037411Z     return mod(*inputs)
2025-08-14T21:34:45.4038004Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:34:45.4038667Z     x = self.layer4(x)
2025-08-14T21:34:45.4039260Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 57, in forward
2025-08-14T21:34:45.4039911Z     out = F.relu(out)
2025-08-14T21:34:45.4040084Z 
2025-08-14T21:34:45.4040246Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.4040834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4041529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4042166Z     return mod(*inputs)
2025-08-14T21:34:45.4042771Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:34:45.4043555Z     x = self.layer4(x)
2025-08-14T21:34:45.4044144Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4044806Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4045062Z 
2025-08-14T21:34:45.4045246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4045922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4051966Z     return mod(*inputs)
2025-08-14T21:34:45.4052670Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 132, in forward
2025-08-14T21:34:45.4053700Z     x = self.layer4(x)
2025-08-14T21:34:45.4054315Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 54, in forward
2025-08-14T21:34:45.4055009Z     out = F.relu(self.bn1(self.conv1(x)))
2025-08-14T21:34:45.4055277Z 
2025-08-14T21:34:45.4055419Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.4055860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:34:45.4056559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:34:45.4057386Z     return mod(*inputs)
2025-08-14T21:34:45.4058009Z   File "/torchbench/torchbenchmark/models/LearningToPaint/baseline/DRL/actor.py", line 133, in forward
2025-08-14T21:34:45.4058699Z     x = F.avg_pool2d(x, 4)
2025-08-14T21:34:45.4058898Z 
2025-08-14T21:34:45.4059038Z cudagraph partition due to non gpu ops
2025-08-14T21:34:45.4059431Z cudagraph partition due to non gpu ops
2025-08-14T21:34:49.9503000Z Compilation time (from dynamo_timed): 11.385388394
2025-08-14T21:34:49.9503704Z pass
2025-08-14T21:34:49.9506654Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:34:49.9508584Z TIMING: _recursive_pre_grad_passes:0.02251 _recursive_joint_graph_passes:0.21319 _recursive_post_grad_passes:0.03436 async_compile.wait:0.78648 code_gen:3.9368 inductor_compile:6.05607 backend_compile:9.37353 gc:0.00102 entire_frame_compile:11.38539 total_wall_time:11.38539
2025-08-14T21:34:49.9510468Z STATS: call_* op count: 71 | FakeTensorMode.__torch_dispatch__:8201 | FakeTensor.__torch_dispatch__:521 | ProxyTorchDispatchMode.__torch_dispatch__:1970
2025-08-14T21:34:49.9511482Z Dynamo produced 1 graphs covering 71 ops with 0 graph breaks (0 unique)
2025-08-14T21:34:55.0634947Z 
2025-08-14T21:34:56.7465275Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth
2025-08-14T21:34:56.7644428Z 
2025-08-14T21:34:56.7644615Z 
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2025-08-14T21:34:57.0657065Z   9% 45.5M/528M [00:00<00:02, 239MB/s]
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2025-08-14T21:34:57.1661357Z  13% 68.5M/528M [00:00<00:02, 240MB/s]
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2025-08-14T21:34:58.4803625Z  70% 367M/528M [00:01<00:00, 239MB/s]
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2025-08-14T21:34:58.8868608Z  87% 459M/528M [00:02<00:00, 236MB/s]
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2025-08-14T21:34:58.9869661Z  91% 483M/528M [00:02<00:00, 239MB/s]
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2025-08-14T21:34:59.0826798Z  96% 506M/528M [00:02<00:00, 240MB/s]
2025-08-14T21:34:59.0827203Z 100% 528M/528M [00:02<00:00, 239MB/s]
2025-08-14T21:35:01.3439052Z 
2025-08-14T21:35:01.3439557Z loading model: 0it [00:06, ?it/s]
2025-08-14T21:35:01.3451218Z cpu  eval  Super_SloMo                        
2025-08-14T21:35:45.4982241Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:47.9617387Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:35:50.5239057Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:09.1857849Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1858301Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1858680Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1859067Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1859774Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1860161Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1860533Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1860987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1861712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1862349Z     return mod(*inputs)
2025-08-14T21:36:09.1863183Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1863886Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1864203Z 
2025-08-14T21:36:09.1864454Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.1864905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1865639Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1866304Z     return mod(*inputs)
2025-08-14T21:36:09.1866870Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1867565Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1868239Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:36:09.1868922Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1869229Z 
2025-08-14T21:36:09.1869427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1870146Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1870803Z     return mod(*inputs)
2025-08-14T21:36:09.1871362Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1872051Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1872719Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:36:09.1873407Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1873708Z 
2025-08-14T21:36:09.1873904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1874721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1875365Z     return mod(*inputs)
2025-08-14T21:36:09.1875898Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1876569Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1877216Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:36:09.1878038Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1878346Z 
2025-08-14T21:36:09.1878536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1879238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1879881Z     return mod(*inputs)
2025-08-14T21:36:09.1880429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1881087Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1881738Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:36:09.1882406Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1882706Z 
2025-08-14T21:36:09.1882901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1883600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1884232Z     return mod(*inputs)
2025-08-14T21:36:09.1884789Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1885454Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1886105Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.1886785Z     s2 = self.down1(s1)
2025-08-14T21:36:09.1887306Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.1887910Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.1888115Z 
2025-08-14T21:36:09.1888321Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1889025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1889645Z     return mod(*inputs)
2025-08-14T21:36:09.1890191Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1890867Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1891507Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.1892109Z     s2 = self.down1(s1)
2025-08-14T21:36:09.1892645Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1893305Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1893601Z 
2025-08-14T21:36:09.1893791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1894498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1895138Z     return mod(*inputs)
2025-08-14T21:36:09.1895672Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1896346Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1896996Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.1897609Z     s2 = self.down1(s1)
2025-08-14T21:36:09.1898132Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1898793Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1899091Z 
2025-08-14T21:36:09.1899299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1899992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1900633Z     return mod(*inputs)
2025-08-14T21:36:09.1901186Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1901853Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1902493Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.1903427Z     s2 = self.down1(s1)
2025-08-14T21:36:09.1904063Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.1904730Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1905044Z 
2025-08-14T21:36:09.1905240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1905971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1906638Z     return mod(*inputs)
2025-08-14T21:36:09.1907191Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1907877Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1908546Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.1909153Z     s2 = self.down1(s1)
2025-08-14T21:36:09.1909700Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.1910370Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1910672Z 
2025-08-14T21:36:09.1910884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1911591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1912381Z     return mod(*inputs)
2025-08-14T21:36:09.1913088Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1913764Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1914437Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.1915060Z     s3 = self.down2(s2)
2025-08-14T21:36:09.1915707Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.1916297Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.1916508Z 
2025-08-14T21:36:09.1916698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1917399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1918024Z     return mod(*inputs)
2025-08-14T21:36:09.1918570Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1919235Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1919888Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.1920484Z     s3 = self.down2(s2)
2025-08-14T21:36:09.1931653Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1932423Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1932727Z 
2025-08-14T21:36:09.1932924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1933626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1934275Z     return mod(*inputs)
2025-08-14T21:36:09.1934831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1935501Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1936152Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.1936755Z     s3 = self.down2(s2)
2025-08-14T21:36:09.1937282Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1937934Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1938226Z 
2025-08-14T21:36:09.1938432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1939122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1939754Z     return mod(*inputs)
2025-08-14T21:36:09.1940299Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1940951Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1941714Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.1942320Z     s3 = self.down2(s2)
2025-08-14T21:36:09.1943146Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.1943834Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1944150Z 
2025-08-14T21:36:09.1944346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1945066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1945707Z     return mod(*inputs)
2025-08-14T21:36:09.1946270Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1946955Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1947622Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.1948234Z     s3 = self.down2(s2)
2025-08-14T21:36:09.1948782Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.1949456Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1949839Z 
2025-08-14T21:36:09.1950032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1950747Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1951396Z     return mod(*inputs)
2025-08-14T21:36:09.1951958Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1952631Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1953846Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.1954481Z     s4 = self.down3(s3)
2025-08-14T21:36:09.1955015Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.1955732Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.1955931Z 
2025-08-14T21:36:09.1956132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1956834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1957461Z     return mod(*inputs)
2025-08-14T21:36:09.1958007Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1958673Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1959304Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.1959900Z     s4 = self.down3(s3)
2025-08-14T21:36:09.1960429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1961069Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1961372Z 
2025-08-14T21:36:09.1961559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1962259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1962891Z     return mod(*inputs)
2025-08-14T21:36:09.1963420Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1964090Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1964740Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.1965328Z     s4 = self.down3(s3)
2025-08-14T21:36:09.1965862Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1966510Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1966800Z 
2025-08-14T21:36:09.1967000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1967681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1968451Z     return mod(*inputs)
2025-08-14T21:36:09.1969001Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1969671Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1970313Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.1970912Z     s4 = self.down3(s3)
2025-08-14T21:36:09.1971441Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.1972076Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1972379Z 
2025-08-14T21:36:09.1972566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1973259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1973889Z     return mod(*inputs)
2025-08-14T21:36:09.1974421Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1980818Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1982511Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.1984498Z     s4 = self.down3(s3)
2025-08-14T21:36:09.1985307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.1985980Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.1986280Z 
2025-08-14T21:36:09.1986492Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1987203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1987856Z     return mod(*inputs)
2025-08-14T21:36:09.1988417Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1989087Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1989757Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.1990371Z     s5 = self.down4(s4)
2025-08-14T21:36:09.1990903Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.1991528Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.1991745Z 
2025-08-14T21:36:09.1991937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1992657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1993291Z     return mod(*inputs)
2025-08-14T21:36:09.1993851Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.1994640Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.1995279Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.1995880Z     s5 = self.down4(s4)
2025-08-14T21:36:09.1996417Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.1997071Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.1997363Z 
2025-08-14T21:36:09.1997554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.1998254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.1998888Z     return mod(*inputs)
2025-08-14T21:36:09.1999419Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2000085Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2000729Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2001328Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2001845Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2002593Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2002946Z 
2025-08-14T21:36:09.2003143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2003820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2004428Z     return mod(*inputs)
2025-08-14T21:36:09.2004957Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2005604Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2006219Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2006800Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2007315Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2007934Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2008227Z 
2025-08-14T21:36:09.2008410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2009202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2009786Z     return mod(*inputs)
2025-08-14T21:36:09.2010275Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2010943Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2011540Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2012092Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2012567Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2013170Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2013438Z 
2025-08-14T21:36:09.2013628Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2014260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2014842Z     return mod(*inputs)
2025-08-14T21:36:09.2015347Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2015961Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2016546Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2017103Z     x = self.down5(s5)
2025-08-14T21:36:09.2017588Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.2018127Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.2018320Z 
2025-08-14T21:36:09.2018491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2019131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2019714Z     return mod(*inputs)
2025-08-14T21:36:09.2020204Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2020820Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2021413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2021951Z     x = self.down5(s5)
2025-08-14T21:36:09.2022442Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2023308Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2023612Z 
2025-08-14T21:36:09.2023820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2024528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2025183Z     return mod(*inputs)
2025-08-14T21:36:09.2025746Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2026418Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2027083Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2027785Z     x = self.down5(s5)
2025-08-14T21:36:09.2028318Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2028992Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2029311Z 
2025-08-14T21:36:09.2029504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2030227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2030868Z     return mod(*inputs)
2025-08-14T21:36:09.2031431Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2032116Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2032783Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2033389Z     x = self.down5(s5)
2025-08-14T21:36:09.2033938Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2034610Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2035017Z 
2025-08-14T21:36:09.2035204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2036056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2036671Z     return mod(*inputs)
2025-08-14T21:36:09.2042636Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2044508Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2046182Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2047730Z     x = self.down5(s5)
2025-08-14T21:36:09.2049072Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2050773Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2051535Z 
2025-08-14T21:36:09.2052056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2054870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2056217Z     return mod(*inputs)
2025-08-14T21:36:09.2056768Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2057440Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2058079Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2058691Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2059231Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2059885Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2060177Z 
2025-08-14T21:36:09.2060365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2061066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2061705Z     return mod(*inputs)
2025-08-14T21:36:09.2062237Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2063192Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2063861Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2064483Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2065030Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2065707Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2066009Z 
2025-08-14T21:36:09.2066159Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2066562Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2067013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2067857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2068513Z     return mod(*inputs)
2025-08-14T21:36:09.2069075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2069772Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2070429Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2071053Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2071614Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2072367Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2072780Z 
2025-08-14T21:36:09.2072975Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2073701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2074463Z     return mod(*inputs)
2025-08-14T21:36:09.2075100Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2075749Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2076379Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2077031Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2077555Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2078276Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2078653Z 
2025-08-14T21:36:09.2078855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2079525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2080144Z     return mod(*inputs)
2025-08-14T21:36:09.2080677Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2081314Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2081945Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2082528Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2083053Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2083760Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2084148Z 
2025-08-14T21:36:09.2084331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2085012Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2085627Z     return mod(*inputs)
2025-08-14T21:36:09.2086142Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2086788Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2087420Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2087991Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2088508Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2089146Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2089428Z 
2025-08-14T21:36:09.2089876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2090543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2091346Z     return mod(*inputs)
2025-08-14T21:36:09.2091893Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2092549Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2093198Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2093799Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2094450Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2095097Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2095401Z 
2025-08-14T21:36:09.2095549Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2095942Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2096365Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2097065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2097698Z     return mod(*inputs)
2025-08-14T21:36:09.2098245Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2098900Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2099550Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2100352Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2100968Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2101717Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2102157Z 
2025-08-14T21:36:09.2102431Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2103400Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2104107Z     return mod(*inputs)
2025-08-14T21:36:09.2104677Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2105373Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2106033Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2106655Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2107206Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2107978Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2108377Z 
2025-08-14T21:36:09.2108572Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2109291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2109945Z     return mod(*inputs)
2025-08-14T21:36:09.2110493Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2111174Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2111837Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2112455Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2112989Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2113756Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2114153Z 
2025-08-14T21:36:09.2114468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2115154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2115784Z     return mod(*inputs)
2025-08-14T21:36:09.2116335Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2116999Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2117737Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2118318Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2118831Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2119451Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2119744Z 
2025-08-14T21:36:09.2119924Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2120675Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2121294Z     return mod(*inputs)
2025-08-14T21:36:09.2121924Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2122539Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2123135Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2123672Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2124162Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2124764Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2125033Z 
2025-08-14T21:36:09.2125175Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2125524Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2125929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2126576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2127149Z     return mod(*inputs)
2025-08-14T21:36:09.2127647Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2128328Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2128926Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2129467Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2129962Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2130650Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2131005Z 
2025-08-14T21:36:09.2131177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2131819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2132401Z     return mod(*inputs)
2025-08-14T21:36:09.2132908Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2133509Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2134102Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2134660Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2135137Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2135825Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2136190Z 
2025-08-14T21:36:09.2136363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2137006Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2137574Z     return mod(*inputs)
2025-08-14T21:36:09.2138075Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2138694Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2139273Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2139822Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2140316Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2141000Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2141353Z 
2025-08-14T21:36:09.2141527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2142166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2142824Z     return mod(*inputs)
2025-08-14T21:36:09.2143509Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2144348Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2145090Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2145713Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2146252Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2146934Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2147237Z 
2025-08-14T21:36:09.2147442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2148147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2148807Z     return mod(*inputs)
2025-08-14T21:36:09.2149371Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2150063Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2150719Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2151340Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2151896Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2152559Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2152872Z 
2025-08-14T21:36:09.2153017Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2153993Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2154447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2155158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2155812Z     return mod(*inputs)
2025-08-14T21:36:09.2156479Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2157136Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2157785Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2158389Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2158940Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2159676Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2160077Z 
2025-08-14T21:36:09.2160266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2160974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2161594Z     return mod(*inputs)
2025-08-14T21:36:09.2162142Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2162966Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2163617Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2164211Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2164754Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2165508Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2165897Z 
2025-08-14T21:36:09.2166087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2166788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2167427Z     return mod(*inputs)
2025-08-14T21:36:09.2167971Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2168624Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2169271Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2169874Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2170399Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2171141Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2171540Z 
2025-08-14T21:36:09.2171851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2172555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2173175Z     return mod(*inputs)
2025-08-14T21:36:09.2173733Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2174401Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2175037Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2175639Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2176174Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2176830Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2177116Z 
2025-08-14T21:36:09.2177328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2178015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2178659Z     return mod(*inputs)
2025-08-14T21:36:09.2179205Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2179877Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2180591Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2181197Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2181739Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2182384Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2182772Z 
2025-08-14T21:36:09.2182918Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2183545Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2184001Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2184713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2185378Z     return mod(*inputs)
2025-08-14T21:36:09.2185949Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2186629Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2187307Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2187929Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2188468Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2189241Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2189654Z 
2025-08-14T21:36:09.2189849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2190778Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2191426Z     return mod(*inputs)
2025-08-14T21:36:09.2191995Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2192676Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2193330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2193929Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2194569Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2195408Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2195777Z 
2025-08-14T21:36:09.2195956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2196616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2197215Z     return mod(*inputs)
2025-08-14T21:36:09.2197729Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2198420Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2199037Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2199608Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2200104Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2200813Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2201192Z 
2025-08-14T21:36:09.2201372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2202036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2202731Z     return mod(*inputs)
2025-08-14T21:36:09.2203217Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2203805Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2204382Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-14T21:36:09.2204980Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-14T21:36:09.2205244Z 
2025-08-14T21:36:09.2205413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2206094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2206657Z     return mod(*inputs)
2025-08-14T21:36:09.2207146Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 31, in forward
2025-08-14T21:36:09.2207747Z     flowOut = self.flowComp(torch.cat((I0, I1), dim=1))
2025-08-14T21:36:09.2208324Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-14T21:36:09.2208912Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-14T21:36:09.2209186Z 
2025-08-14T21:36:09.2209314Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2209663Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2210050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2210682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2211248Z     return mod(*inputs)
2025-08-14T21:36:09.2211732Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 45, in forward
2025-08-14T21:36:09.2212322Z     g_I1_F_t_1 = self.trainFlowBackWarp(I1, F_t_1)
2025-08-14T21:36:09.2212896Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:36:09.2213452Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:36:09.2213672Z 
2025-08-14T21:36:09.2213793Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2214138Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2214525Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2215144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2215711Z     return mod(*inputs)
2025-08-14T21:36:09.2216202Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 44, in forward
2025-08-14T21:36:09.2216790Z     g_I0_F_t_0 = self.trainFlowBackWarp(I0, F_t_0)
2025-08-14T21:36:09.2217359Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:36:09.2217912Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:36:09.2218129Z 
2025-08-14T21:36:09.2218259Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2218594Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2218980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2219614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2220172Z     return mod(*inputs)
2025-08-14T21:36:09.2220663Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 49, in forward
2025-08-14T21:36:09.2221203Z     torch.cat(
2025-08-14T21:36:09.2221344Z 
2025-08-14T21:36:09.2221531Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2221913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2222540Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2223379Z     return mod(*inputs)
2025-08-14T21:36:09.2223928Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2224574Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2230864Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:36:09.2232571Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2233331Z 
2025-08-14T21:36:09.2233752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2234456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2235096Z     return mod(*inputs)
2025-08-14T21:36:09.2235742Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2236364Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2236963Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 197, in forward
2025-08-14T21:36:09.2238983Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2239275Z 
2025-08-14T21:36:09.2239458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2240143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2240763Z     return mod(*inputs)
2025-08-14T21:36:09.2241287Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2241909Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2242501Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:36:09.2243157Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2243448Z 
2025-08-14T21:36:09.2243634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2244414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2245131Z     return mod(*inputs)
2025-08-14T21:36:09.2245613Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2246184Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2246734Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 198, in forward
2025-08-14T21:36:09.2247329Z     s1 = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2247596Z 
2025-08-14T21:36:09.2247765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2248395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2248959Z     return mod(*inputs)
2025-08-14T21:36:09.2249441Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2250019Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2250560Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.2251106Z     s2 = self.down1(s1)
2025-08-14T21:36:09.2251578Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.2252114Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.2252292Z 
2025-08-14T21:36:09.2252475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2253089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2254227Z     return mod(*inputs)
2025-08-14T21:36:09.2254769Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2255390Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2256096Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.2256685Z     s2 = self.down1(s1)
2025-08-14T21:36:09.2257205Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2257836Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2258131Z 
2025-08-14T21:36:09.2258317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2259002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2259621Z     return mod(*inputs)
2025-08-14T21:36:09.2260148Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2260763Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2261357Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.2261932Z     s2 = self.down1(s1)
2025-08-14T21:36:09.2262453Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2263358Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2263745Z 
2025-08-14T21:36:09.2263941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2264641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2265276Z     return mod(*inputs)
2025-08-14T21:36:09.2265819Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2266449Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2267058Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.2267668Z     s2 = self.down1(s1)
2025-08-14T21:36:09.2268202Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2268856Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2269163Z 
2025-08-14T21:36:09.2269352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2270056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2270695Z     return mod(*inputs)
2025-08-14T21:36:09.2271259Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2271911Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2272535Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 199, in forward
2025-08-14T21:36:09.2273140Z     s2 = self.down1(s1)
2025-08-14T21:36:09.2273688Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2274465Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2274754Z 
2025-08-14T21:36:09.2275047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2275733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2276351Z     return mod(*inputs)
2025-08-14T21:36:09.2276882Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2277490Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2278083Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.2278668Z     s3 = self.down2(s2)
2025-08-14T21:36:09.2279172Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.2279750Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.2279944Z 
2025-08-14T21:36:09.2280138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2280817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2281417Z     return mod(*inputs)
2025-08-14T21:36:09.2282009Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2282626Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2283200Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.2283959Z     s3 = self.down2(s2)
2025-08-14T21:36:09.2284493Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2285146Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2285453Z 
2025-08-14T21:36:09.2285644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2286341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2286975Z     return mod(*inputs)
2025-08-14T21:36:09.2292375Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2293015Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2293632Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.2294287Z     s3 = self.down2(s2)
2025-08-14T21:36:09.2294812Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2295543Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2295835Z 
2025-08-14T21:36:09.2296041Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2296729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2297371Z     return mod(*inputs)
2025-08-14T21:36:09.2297921Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2298556Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2299147Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.2299744Z     s3 = self.down2(s2)
2025-08-14T21:36:09.2300280Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2300920Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2301229Z 
2025-08-14T21:36:09.2301419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2302124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2302858Z     return mod(*inputs)
2025-08-14T21:36:09.2303577Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2304241Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2304871Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 200, in forward
2025-08-14T21:36:09.2305480Z     s3 = self.down2(s2)
2025-08-14T21:36:09.2306032Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2306716Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2307019Z 
2025-08-14T21:36:09.2307229Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2307936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2308597Z     return mod(*inputs)
2025-08-14T21:36:09.2309165Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2309810Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2310441Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.2311063Z     s4 = self.down3(s3)
2025-08-14T21:36:09.2311602Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.2312223Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.2312441Z 
2025-08-14T21:36:09.2312636Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2313429Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2314070Z     return mod(*inputs)
2025-08-14T21:36:09.2314737Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2315379Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2315977Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.2316577Z     s4 = self.down3(s3)
2025-08-14T21:36:09.2317109Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2317764Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2318055Z 
2025-08-14T21:36:09.2318242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2318939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2319571Z     return mod(*inputs)
2025-08-14T21:36:09.2320107Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2320738Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2321340Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.2321996Z     s4 = self.down3(s3)
2025-08-14T21:36:09.2322517Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2323167Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2323457Z 
2025-08-14T21:36:09.2323658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2324342Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2325071Z     return mod(*inputs)
2025-08-14T21:36:09.2325604Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2326221Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2326800Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.2327382Z     s4 = self.down3(s3)
2025-08-14T21:36:09.2327899Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2328525Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2328822Z 
2025-08-14T21:36:09.2329007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2329686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2330302Z     return mod(*inputs)
2025-08-14T21:36:09.2330822Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2331443Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2332029Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 201, in forward
2025-08-14T21:36:09.2332601Z     s4 = self.down3(s3)
2025-08-14T21:36:09.2333121Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2333756Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2334044Z 
2025-08-14T21:36:09.2334239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2334906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2335519Z     return mod(*inputs)
2025-08-14T21:36:09.2336046Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2336651Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2337237Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2337825Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2338341Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.2338983Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.2339191Z 
2025-08-14T21:36:09.2339372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2340054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2340663Z     return mod(*inputs)
2025-08-14T21:36:09.2341196Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2341814Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2342406Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2343228Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2343781Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2344452Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2344752Z 
2025-08-14T21:36:09.2344945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2345667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2346323Z     return mod(*inputs)
2025-08-14T21:36:09.2346883Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2347589Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2348214Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2348834Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2349370Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2350180Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2350544Z 
2025-08-14T21:36:09.2350753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2351472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2352168Z     return mod(*inputs)
2025-08-14T21:36:09.2352739Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2353842Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2354461Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2355085Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2355635Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2356399Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2356691Z 
2025-08-14T21:36:09.2356880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2357581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2358217Z     return mod(*inputs)
2025-08-14T21:36:09.2358749Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2359385Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2360000Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 202, in forward
2025-08-14T21:36:09.2360601Z     s5 = self.down4(s4)
2025-08-14T21:36:09.2361124Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2361782Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2362075Z 
2025-08-14T21:36:09.2362277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2362967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2363605Z     return mod(*inputs)
2025-08-14T21:36:09.2364150Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2364791Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2365387Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2365998Z     x = self.down5(s5)
2025-08-14T21:36:09.2366660Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 72, in forward
2025-08-14T21:36:09.2367356Z     x = F.avg_pool2d(x, 2)
2025-08-14T21:36:09.2367565Z 
2025-08-14T21:36:09.2367756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2368440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2369062Z     return mod(*inputs)
2025-08-14T21:36:09.2369582Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2370201Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2370794Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2371365Z     x = self.down5(s5)
2025-08-14T21:36:09.2371886Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2372531Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2372816Z 
2025-08-14T21:36:09.2373014Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2373681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2374372Z     return mod(*inputs)
2025-08-14T21:36:09.2374906Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2375509Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2376098Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2376678Z     x = self.down5(s5)
2025-08-14T21:36:09.2377184Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 74, in forward
2025-08-14T21:36:09.2377815Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2378109Z 
2025-08-14T21:36:09.2378292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2378971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2379573Z     return mod(*inputs)
2025-08-14T21:36:09.2380108Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2380726Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2381300Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2381881Z     x = self.down5(s5)
2025-08-14T21:36:09.2382398Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2383307Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2383613Z 
2025-08-14T21:36:09.2383808Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2384524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2385176Z     return mod(*inputs)
2025-08-14T21:36:09.2385731Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2386390Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2387019Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 203, in forward
2025-08-14T21:36:09.2387640Z     x = self.down5(s5)
2025-08-14T21:36:09.2388174Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 76, in forward
2025-08-14T21:36:09.2388849Z     x = F.leaky_relu(self.conv2(x), negative_slope=0.1)
2025-08-14T21:36:09.2389150Z 
2025-08-14T21:36:09.2389355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2390061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2390717Z     return mod(*inputs)
2025-08-14T21:36:09.2391279Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2391935Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2392615Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2393237Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2393791Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2394567Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2394873Z 
2025-08-14T21:36:09.2395062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2404875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2405499Z     return mod(*inputs)
2025-08-14T21:36:09.2406005Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2406588Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2407129Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2407676Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2408178Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2408769Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2409163Z 
2025-08-14T21:36:09.2409294Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2409642Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2410037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2410663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2411237Z     return mod(*inputs)
2025-08-14T21:36:09.2411727Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2412908Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2413511Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2414100Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2414617Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2415350Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2415748Z 
2025-08-14T21:36:09.2415933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2416624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2417239Z     return mod(*inputs)
2025-08-14T21:36:09.2417775Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2418400Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2418984Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2419578Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2420104Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2420839Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2421226Z 
2025-08-14T21:36:09.2421414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2422104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2422809Z     return mod(*inputs)
2025-08-14T21:36:09.2423525Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2424159Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2424768Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 204, in forward
2025-08-14T21:36:09.2425373Z     x = self.up1(x, s5)
2025-08-14T21:36:09.2425907Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2426664Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2427058Z 
2025-08-14T21:36:09.2427342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2428057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2428691Z     return mod(*inputs)
2025-08-14T21:36:09.2429249Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2429893Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2430500Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2431110Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2431657Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2432314Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2432620Z 
2025-08-14T21:36:09.2432814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2433522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2434168Z     return mod(*inputs)
2025-08-14T21:36:09.2435029Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2435600Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2436204Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2436736Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2437221Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2437810Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2438076Z 
2025-08-14T21:36:09.2438209Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2438548Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2438937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2439566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2440133Z     return mod(*inputs)
2025-08-14T21:36:09.2440625Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2441198Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2441747Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2442280Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2442762Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2443431Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2443784Z 
2025-08-14T21:36:09.2443954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2444582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2445152Z     return mod(*inputs)
2025-08-14T21:36:09.2445642Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2446209Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2446759Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2447494Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2447998Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2448706Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2449082Z 
2025-08-14T21:36:09.2449263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2449933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2450527Z     return mod(*inputs)
2025-08-14T21:36:09.2451049Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2451653Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2452294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 205, in forward
2025-08-14T21:36:09.2452871Z     x = self.up2(x, s4)
2025-08-14T21:36:09.2453974Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2454730Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2455117Z 
2025-08-14T21:36:09.2455304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2455994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2456620Z     return mod(*inputs)
2025-08-14T21:36:09.2457149Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2457777Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2458373Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2458964Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2459484Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2460126Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2460413Z 
2025-08-14T21:36:09.2460725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2461406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2462032Z     return mod(*inputs)
2025-08-14T21:36:09.2462569Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2463476Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2464082Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2464695Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2465237Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2465895Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2466207Z 
2025-08-14T21:36:09.2466349Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2466735Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2467168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2467871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2468516Z     return mod(*inputs)
2025-08-14T21:36:09.2469068Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2469702Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2470316Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2470922Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2471467Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2472212Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2472625Z 
2025-08-14T21:36:09.2472819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2473528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2474166Z     return mod(*inputs)
2025-08-14T21:36:09.2479702Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2480335Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2480932Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2481512Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2482038Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2482767Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2483146Z 
2025-08-14T21:36:09.2483331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2484128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2484758Z     return mod(*inputs)
2025-08-14T21:36:09.2485293Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2485914Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2486513Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 206, in forward
2025-08-14T21:36:09.2487111Z     x = self.up3(x, s3)
2025-08-14T21:36:09.2487628Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2488358Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2488747Z 
2025-08-14T21:36:09.2488936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2489627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2490242Z     return mod(*inputs)
2025-08-14T21:36:09.2490783Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2491403Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2492047Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2492638Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2493163Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2493805Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2494096Z 
2025-08-14T21:36:09.2494280Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2494964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2495586Z     return mod(*inputs)
2025-08-14T21:36:09.2496111Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2496741Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2497334Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2497924Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2498446Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2499088Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2499379Z 
2025-08-14T21:36:09.2499526Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2499897Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2500324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2501009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2501626Z     return mod(*inputs)
2025-08-14T21:36:09.2502155Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2502868Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2503469Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2504217Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2504759Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2505509Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2505903Z 
2025-08-14T21:36:09.2506102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2506801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2507440Z     return mod(*inputs)
2025-08-14T21:36:09.2507991Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2508620Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2509235Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2509904Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2510447Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2511186Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2511595Z 
2025-08-14T21:36:09.2511784Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2512493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2513125Z     return mod(*inputs)
2025-08-14T21:36:09.2513678Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2514426Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2515125Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 207, in forward
2025-08-14T21:36:09.2515682Z     x = self.up4(x, s2)
2025-08-14T21:36:09.2516294Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2516962Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2517311Z 
2025-08-14T21:36:09.2517480Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2518170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2518732Z     return mod(*inputs)
2025-08-14T21:36:09.2519222Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2519792Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2520330Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2520868Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2521346Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2521930Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2522194Z 
2025-08-14T21:36:09.2522366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2522990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2523561Z     return mod(*inputs)
2025-08-14T21:36:09.2524044Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2524620Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2525167Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2525711Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2526184Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 136, in forward
2025-08-14T21:36:09.2526774Z     x = F.leaky_relu(self.conv1(x), negative_slope=0.1)
2025-08-14T21:36:09.2527036Z 
2025-08-14T21:36:09.2527171Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2527507Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2527902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2528530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2529098Z     return mod(*inputs)
2025-08-14T21:36:09.2529583Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2530148Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2530689Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2531217Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2531699Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2532363Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2532713Z 
2025-08-14T21:36:09.2532892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2533575Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2534147Z     return mod(*inputs)
2025-08-14T21:36:09.2534642Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2535204Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2535746Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2536290Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2536964Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2544487Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2545518Z 
2025-08-14T21:36:09.2546007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2547818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2549422Z     return mod(*inputs)
2025-08-14T21:36:09.2550827Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2552442Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2554433Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 208, in forward
2025-08-14T21:36:09.2554954Z     x = self.up5(x, s1)
2025-08-14T21:36:09.2555422Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 138, in forward
2025-08-14T21:36:09.2555675Z     x = F.leaky_relu(self.conv2(torch.cat((x, skpCn), 1)), negative_slope=0.1)
2025-08-14T21:36:09.2555691Z 
2025-08-14T21:36:09.2555886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2556273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2556392Z     return mod(*inputs)
2025-08-14T21:36:09.2556754Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2556890Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2557250Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-14T21:36:09.2557420Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-14T21:36:09.2557439Z 
2025-08-14T21:36:09.2557627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2558019Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2558129Z     return mod(*inputs)
2025-08-14T21:36:09.2558493Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 48, in forward
2025-08-14T21:36:09.2558627Z     intrpOut = self.ArbTimeFlowIntrp(
2025-08-14T21:36:09.2558979Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 209, in forward
2025-08-14T21:36:09.2559146Z     x = F.leaky_relu(self.conv3(x), negative_slope=0.1)
2025-08-14T21:36:09.2559160Z 
2025-08-14T21:36:09.2559344Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2559733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2559847Z     return mod(*inputs)
2025-08-14T21:36:09.2560208Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 57, in forward
2025-08-14T21:36:09.2560355Z     V_t_0 = F.sigmoid(intrpOut[:, 4:5, :, :])
2025-08-14T21:36:09.2560371Z 
2025-08-14T21:36:09.2560553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2560937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2561054Z     return mod(*inputs)
2025-08-14T21:36:09.2561413Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 61, in forward
2025-08-14T21:36:09.2561576Z     g_I0_F_t_0_f = self.trainFlowBackWarp(I0, F_t_0_f)
2025-08-14T21:36:09.2561933Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:36:09.2562128Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:36:09.2562145Z 
2025-08-14T21:36:09.2562336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2562720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2562832Z     return mod(*inputs)
2025-08-14T21:36:09.2563192Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 62, in forward
2025-08-14T21:36:09.2563355Z     g_I1_F_t_1_f = self.trainFlowBackWarp(I1, F_t_1_f)
2025-08-14T21:36:09.2563710Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:36:09.2563833Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:36:09.2563848Z 
2025-08-14T21:36:09.2564029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2564421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2564526Z     return mod(*inputs)
2025-08-14T21:36:09.2564887Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 79, in forward
2025-08-14T21:36:09.2565064Z     + L1_lossFn(self.trainFlowBackWarp(I0, F_1_0), I1)
2025-08-14T21:36:09.2565412Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:36:09.2565598Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:36:09.2565613Z 
2025-08-14T21:36:09.2565796Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2566183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2566406Z     return mod(*inputs)
2025-08-14T21:36:09.2566750Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2567013Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2567035Z 
2025-08-14T21:36:09.2567210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2567584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2567699Z     return mod(*inputs)
2025-08-14T21:36:09.2568044Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2568305Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2568319Z 
2025-08-14T21:36:09.2568507Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2569001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2569111Z     return mod(*inputs)
2025-08-14T21:36:09.2569439Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2569684Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2569697Z 
2025-08-14T21:36:09.2569872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2570227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2570325Z     return mod(*inputs)
2025-08-14T21:36:09.2570661Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2570906Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2570920Z 
2025-08-14T21:36:09.2571099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2571446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2571545Z     return mod(*inputs)
2025-08-14T21:36:09.2571881Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2572124Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2572137Z 
2025-08-14T21:36:09.2572362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2572714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2572812Z     return mod(*inputs)
2025-08-14T21:36:09.2573155Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2573399Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2573413Z 
2025-08-14T21:36:09.2573582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2573940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2574039Z     return mod(*inputs)
2025-08-14T21:36:09.2574549Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2574809Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2574825Z 
2025-08-14T21:36:09.2575005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2575384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2575490Z     return mod(*inputs)
2025-08-14T21:36:09.2575928Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2576187Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2576202Z 
2025-08-14T21:36:09.2576380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2576758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2576863Z     return mod(*inputs)
2025-08-14T21:36:09.2577210Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2577474Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2577489Z 
2025-08-14T21:36:09.2577670Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2578053Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2578159Z     return mod(*inputs)
2025-08-14T21:36:09.2578514Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2578779Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2578794Z 
2025-08-14T21:36:09.2578970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2579346Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2579448Z     return mod(*inputs)
2025-08-14T21:36:09.2579793Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2580060Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2580074Z 
2025-08-14T21:36:09.2580254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2580622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2580738Z     return mod(*inputs)
2025-08-14T21:36:09.2581087Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2581351Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2581365Z 
2025-08-14T21:36:09.2581542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2581912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2582027Z     return mod(*inputs)
2025-08-14T21:36:09.2582372Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2582782Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2582859Z 
2025-08-14T21:36:09.2583214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2583677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2583809Z     return mod(*inputs)
2025-08-14T21:36:09.2584180Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2584450Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2584474Z 
2025-08-14T21:36:09.2584666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2585062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2585182Z     return mod(*inputs)
2025-08-14T21:36:09.2585557Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2585834Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2585850Z 
2025-08-14T21:36:09.2586047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2586442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2586617Z     return mod(*inputs)
2025-08-14T21:36:09.2586986Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2587263Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2587278Z 
2025-08-14T21:36:09.2587475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2587871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2587983Z     return mod(*inputs)
2025-08-14T21:36:09.2588361Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2588638Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2588653Z 
2025-08-14T21:36:09.2588846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2589243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2589361Z     return mod(*inputs)
2025-08-14T21:36:09.2589741Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2590016Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2590031Z 
2025-08-14T21:36:09.2590230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2590623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2590735Z     return mod(*inputs)
2025-08-14T21:36:09.2591112Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2591391Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2591407Z 
2025-08-14T21:36:09.2591596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2592001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2592114Z     return mod(*inputs)
2025-08-14T21:36:09.2592492Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2592763Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2592778Z 
2025-08-14T21:36:09.2592968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2593369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2593478Z     return mod(*inputs)
2025-08-14T21:36:09.2593855Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2594178Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2594194Z 
2025-08-14T21:36:09.2594499Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2594898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2595003Z     return mod(*inputs)
2025-08-14T21:36:09.2595359Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2595635Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2595650Z 
2025-08-14T21:36:09.2595830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2596222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2596332Z     return mod(*inputs)
2025-08-14T21:36:09.2596694Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2596967Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2596981Z 
2025-08-14T21:36:09.2597162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2597618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2597724Z     return mod(*inputs)
2025-08-14T21:36:09.2598080Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2598352Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2598366Z 
2025-08-14T21:36:09.2598549Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2598934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2599051Z     return mod(*inputs)
2025-08-14T21:36:09.2599415Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2599825Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2599841Z 
2025-08-14T21:36:09.2600025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2600478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2600599Z     return mod(*inputs)
2025-08-14T21:36:09.2600963Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2601225Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2601249Z 
2025-08-14T21:36:09.2601430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2601812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2601927Z     return mod(*inputs)
2025-08-14T21:36:09.2602291Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2602557Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2602571Z 
2025-08-14T21:36:09.2602763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2603147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2603261Z     return mod(*inputs)
2025-08-14T21:36:09.2603619Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2603883Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2603898Z 
2025-08-14T21:36:09.2604086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2604469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2604585Z     return mod(*inputs)
2025-08-14T21:36:09.2605072Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2605345Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2605360Z 
2025-08-14T21:36:09.2605559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2605940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2606050Z     return mod(*inputs)
2025-08-14T21:36:09.2606416Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2606680Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2606695Z 
2025-08-14T21:36:09.2606884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2607268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2607375Z     return mod(*inputs)
2025-08-14T21:36:09.2607746Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2608010Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2608076Z 
2025-08-14T21:36:09.2608273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2608654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2608761Z     return mod(*inputs)
2025-08-14T21:36:09.2609126Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2609388Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2609402Z 
2025-08-14T21:36:09.2609537Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2609730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2610115Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2610232Z     return mod(*inputs)
2025-08-14T21:36:09.2610592Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 80, in forward
2025-08-14T21:36:09.2610763Z     + L1_lossFn(self.trainFlowBackWarp(I1, F_0_1), I0)
2025-08-14T21:36:09.2611120Z   File "/torchbench/torchbenchmark/models/Super_SloMo/slomo_model.py", line 286, in forward
2025-08-14T21:36:09.2611243Z     grid = torch.stack((x, y), dim=3)
2025-08-14T21:36:09.2611258Z 
2025-08-14T21:36:09.2611391Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2611582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2611968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2612081Z     return mod(*inputs)
2025-08-14T21:36:09.2612440Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2612710Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2612724Z 
2025-08-14T21:36:09.2612920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2613304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2613414Z     return mod(*inputs)
2025-08-14T21:36:09.2613781Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2614046Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2614061Z 
2025-08-14T21:36:09.2614250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2614633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2614740Z     return mod(*inputs)
2025-08-14T21:36:09.2615104Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2615423Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2615438Z 
2025-08-14T21:36:09.2615629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2616013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2616126Z     return mod(*inputs)
2025-08-14T21:36:09.2616490Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2616754Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2616769Z 
2025-08-14T21:36:09.2616951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2617339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2617448Z     return mod(*inputs)
2025-08-14T21:36:09.2617812Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2618081Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2618096Z 
2025-08-14T21:36:09.2618278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2618726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2618837Z     return mod(*inputs)
2025-08-14T21:36:09.2619310Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2619570Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2619584Z 
2025-08-14T21:36:09.2619761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2620258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2620360Z     return mod(*inputs)
2025-08-14T21:36:09.2620686Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2620943Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2620957Z 
2025-08-14T21:36:09.2621125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2621490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2621587Z     return mod(*inputs)
2025-08-14T21:36:09.2621920Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2622171Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2622184Z 
2025-08-14T21:36:09.2622349Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2622783Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2622885Z     return mod(*inputs)
2025-08-14T21:36:09.2623415Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2623701Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2623716Z 
2025-08-14T21:36:09.2623902Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2624300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2624420Z     return mod(*inputs)
2025-08-14T21:36:09.2624789Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2625073Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2625088Z 
2025-08-14T21:36:09.2625276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2625667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2625789Z     return mod(*inputs)
2025-08-14T21:36:09.2626217Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2626501Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2626516Z 
2025-08-14T21:36:09.2626705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2627101Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2627221Z     return mod(*inputs)
2025-08-14T21:36:09.2627593Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2627864Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2627888Z 
2025-08-14T21:36:09.2628076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2628472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2628589Z     return mod(*inputs)
2025-08-14T21:36:09.2628969Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2629244Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2629259Z 
2025-08-14T21:36:09.2629503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:09.2629900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:09.2630014Z     return mod(*inputs)
2025-08-14T21:36:09.2630382Z   File "/torchbench/torchbenchmark/models/Super_SloMo/model_wrapper.py", line 74, in forward
2025-08-14T21:36:09.2630662Z     prcpLoss = MSE_LossFn(self.vgg16_conv_4_3(Ft_p), self.vgg16_conv_4_3(IFrame))
2025-08-14T21:36:09.2630677Z 
2025-08-14T21:36:09.2630817Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2630953Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2631097Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2631231Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2631373Z cudagraph partition due to non gpu ops
2025-08-14T21:36:09.2631512Z cudagraph partition due to non gpu ops
2025-08-14T21:36:34.7265059Z Compilation time (from dynamo_timed): 40.490480796
2025-08-14T21:36:34.7265858Z pass
2025-08-14T21:36:34.7271218Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:34.7274719Z TIMING: _recursive_pre_grad_passes:0.05219 _recursive_joint_graph_passes:0.43063 _recursive_post_grad_passes:0.19929 async_compile.wait:0.89335 code_gen:24.26077 inductor_compile:29.12775 backend_compile:37.33636 gc:0.00031 entire_frame_compile:40.49048 total_wall_time:40.49048
2025-08-14T21:36:34.7276666Z STATS: call_* op count: 374 | FakeTensorMode.__torch_dispatch__:27345 | FakeTensor.__torch_dispatch__:6931 | ProxyTorchDispatchMode.__torch_dispatch__:6072
2025-08-14T21:36:34.7277680Z Dynamo produced 1 graphs covering 374 ops with 0 graph breaks (0 unique)
2025-08-14T21:36:39.8832887Z 
2025-08-14T21:36:40.5887861Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth
2025-08-14T21:36:40.6072845Z 
2025-08-14T21:36:40.6072890Z 
2025-08-14T21:36:40.7079257Z   0% 0.00/233M [00:00<?, ?B/s]
2025-08-14T21:36:40.7079552Z 
2025-08-14T21:36:40.8081083Z   9% 20.5M/233M [00:00<00:01, 215MB/s]
2025-08-14T21:36:40.8081743Z 
2025-08-14T21:36:40.9085381Z  18% 42.5M/233M [00:00<00:00, 224MB/s]
2025-08-14T21:36:40.9085741Z 
2025-08-14T21:36:41.0089653Z  28% 65.0M/233M [00:00<00:00, 229MB/s]
2025-08-14T21:36:41.0089962Z 
2025-08-14T21:36:41.1095898Z  38% 87.6M/233M [00:00<00:00, 232MB/s]
2025-08-14T21:36:41.1096209Z 
2025-08-14T21:36:41.2096510Z  47% 110M/233M [00:00<00:00, 233MB/s] 
2025-08-14T21:36:41.2096844Z 
2025-08-14T21:36:41.3123844Z  57% 133M/233M [00:00<00:00, 234MB/s]
2025-08-14T21:36:41.3124185Z 
2025-08-14T21:36:41.4124784Z  67% 155M/233M [00:00<00:00, 232MB/s]
2025-08-14T21:36:41.4125347Z 
2025-08-14T21:36:41.5133012Z  76% 178M/233M [00:00<00:00, 233MB/s]
2025-08-14T21:36:41.5133357Z 
2025-08-14T21:36:41.6139290Z  86% 200M/233M [00:00<00:00, 232MB/s]
2025-08-14T21:36:41.6139656Z 
2025-08-14T21:36:41.6631957Z  95% 222M/233M [00:01<00:00, 232MB/s]
2025-08-14T21:36:41.6632367Z 100% 233M/233M [00:01<00:00, 232MB/s]
2025-08-14T21:36:42.0209846Z 
2025-08-14T21:36:42.0210438Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:36:42.0211248Z cpu  eval  alexnet                            
2025-08-14T21:36:42.2577069Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:42.3133002Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:42.3668427Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:47.1763093Z cudagraph partition due to non gpu ops
2025-08-14T21:36:47.1763877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1764681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1765476Z     return mod(*inputs)
2025-08-14T21:36:47.1766698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1767495Z     x = self.features(x)
2025-08-14T21:36:47.1767715Z 
2025-08-14T21:36:47.1767907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1768616Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1769240Z     return mod(*inputs)
2025-08-14T21:36:47.1769869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1770559Z     x = self.features(x)
2025-08-14T21:36:47.1770753Z 
2025-08-14T21:36:47.1770989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1771699Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1772321Z     return mod(*inputs)
2025-08-14T21:36:47.1772949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1773637Z     x = self.features(x)
2025-08-14T21:36:47.1773830Z 
2025-08-14T21:36:47.1774018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1774718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1775353Z     return mod(*inputs)
2025-08-14T21:36:47.1775974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1776643Z     x = self.features(x)
2025-08-14T21:36:47.1776850Z 
2025-08-14T21:36:47.1777039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1777748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1778369Z     return mod(*inputs)
2025-08-14T21:36:47.1778993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1779682Z     x = self.features(x)
2025-08-14T21:36:47.1779874Z 
2025-08-14T21:36:47.1780074Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1780759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1781392Z     return mod(*inputs)
2025-08-14T21:36:47.1782015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1782785Z     x = self.features(x)
2025-08-14T21:36:47.1783164Z 
2025-08-14T21:36:47.1783361Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1784085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1784894Z     return mod(*inputs)
2025-08-14T21:36:47.1785534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1786246Z     x = self.features(x)
2025-08-14T21:36:47.1786455Z 
2025-08-14T21:36:47.1786661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1787372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1788026Z     return mod(*inputs)
2025-08-14T21:36:47.1788821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1789611Z     x = self.features(x)
2025-08-14T21:36:47.1789814Z 
2025-08-14T21:36:47.1790009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1790734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1791389Z     return mod(*inputs)
2025-08-14T21:36:47.1792030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1792738Z     x = self.features(x)
2025-08-14T21:36:47.1792951Z 
2025-08-14T21:36:47.1793218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1793939Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1794582Z     return mod(*inputs)
2025-08-14T21:36:47.1795225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1796036Z     x = self.features(x)
2025-08-14T21:36:47.1796230Z 
2025-08-14T21:36:47.1796419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1797117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1797747Z     return mod(*inputs)
2025-08-14T21:36:47.1798379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1799049Z     x = self.features(x)
2025-08-14T21:36:47.1799254Z 
2025-08-14T21:36:47.1799440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1800143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1800765Z     return mod(*inputs)
2025-08-14T21:36:47.1801389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1802073Z     x = self.features(x)
2025-08-14T21:36:47.1802265Z 
2025-08-14T21:36:47.1802470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1803158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1803793Z     return mod(*inputs)
2025-08-14T21:36:47.1804428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 48, in forward
2025-08-14T21:36:47.1805100Z     x = self.features(x)
2025-08-14T21:36:47.1805305Z 
2025-08-14T21:36:47.1805491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1806193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1806830Z     return mod(*inputs)
2025-08-14T21:36:47.1807443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 49, in forward
2025-08-14T21:36:47.1808128Z     x = self.avgpool(x)
2025-08-14T21:36:47.1808312Z 
2025-08-14T21:36:47.1808466Z cudagraph partition due to non gpu ops
2025-08-14T21:36:47.1808895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1809595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1810228Z     return mod(*inputs)
2025-08-14T21:36:47.1810917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:36:47.1811598Z     x = self.classifier(x)
2025-08-14T21:36:47.1811812Z 
2025-08-14T21:36:47.1811950Z cudagraph partition due to non gpu ops
2025-08-14T21:36:47.1812393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:36:47.1813086Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:36:47.1813724Z     return mod(*inputs)
2025-08-14T21:36:47.1814353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/alexnet.py", line 51, in forward
2025-08-14T21:36:47.1815044Z     x = self.classifier(x)
2025-08-14T21:36:47.1815245Z 
2025-08-14T21:36:47.1815385Z cudagraph partition due to non gpu ops
2025-08-14T21:36:47.1815776Z cudagraph partition due to non gpu ops
2025-08-14T21:36:52.7836205Z Compilation time (from dynamo_timed): 9.090463272
2025-08-14T21:36:52.7837038Z pass
2025-08-14T21:36:52.7841780Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:36:52.7856163Z TIMING: _recursive_pre_grad_passes:0.00785 _recursive_joint_graph_passes:0.19509 _recursive_post_grad_passes:0.0288 async_compile.wait:0.65371 code_gen:5.53957 inductor_compile:7.57915 backend_compile:8.62912 gc:0.00014 entire_frame_compile:9.09046 total_wall_time:9.09046
2025-08-14T21:36:52.7861210Z STATS: call_* op count: 22 | FakeTensorMode.__torch_dispatch__:1748 | FakeTensor.__torch_dispatch__:97 | ProxyTorchDispatchMode.__torch_dispatch__:307
2025-08-14T21:36:52.7862185Z Dynamo produced 1 graphs covering 22 ops with 0 graph breaks (0 unique)
2025-08-14T21:36:57.6006387Z 
2025-08-14T21:36:59.7445371Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:36:59.7445808Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:36:59.7446199Z cpu  eval  basic_gnn_edgecnn                  
2025-08-14T21:37:00.4806983Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:00.8777662Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:01.2647319Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:04.4301366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4302300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4302959Z     return mod(*inputs)
2025-08-14T21:37:04.4303823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4304613Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4305206Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 233, in forward
2025-08-14T21:37:04.4305741Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4306266Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 192, in propagate
2025-08-14T21:37:04.4306979Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:04.4307986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:04.4308991Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:04.4309836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:04.4310658Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:04.4311474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:37:04.4312288Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:37:04.4313161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:04.4313907Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:04.4315994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:37:04.4316776Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:37:04.4317066Z 
2025-08-14T21:37:04.4317276Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4317973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4318622Z     return mod(*inputs)
2025-08-14T21:37:04.4319293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4320020Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4320466Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 233, in forward
2025-08-14T21:37:04.4320977Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4321494Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 192, in propagate
2025-08-14T21:37:04.4322138Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:04.4323111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:04.4324322Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:04.4325124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:04.4325975Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:04.4326759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:37:04.4327556Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:37:04.4328386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:04.4329122Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:04.4329853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:37:04.4330579Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:37:04.4330864Z 
2025-08-14T21:37:04.4331055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4331759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4332397Z     return mod(*inputs)
2025-08-14T21:37:04.4333050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4333783Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4334226Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 233, in forward
2025-08-14T21:37:04.4334731Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4335231Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 192, in propagate
2025-08-14T21:37:04.4335893Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:04.4336862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:04.4337736Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:04.4338548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:04.4339339Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:04.4340125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-08-14T21:37:04.4340906Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-08-14T21:37:04.4341692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:04.4342610Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:04.4343533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-08-14T21:37:04.4344271Z     return src.new_zeros(size).scatter_reduce_(
2025-08-14T21:37:04.4344582Z 
2025-08-14T21:37:04.4344781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4345513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4346159Z     return mod(*inputs)
2025-08-14T21:37:04.4346847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4347604Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4348058Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 233, in forward
2025-08-14T21:37:04.4348566Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4349096Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 191, in propagate
2025-08-14T21:37:04.4349618Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4350380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4351244Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4351564Z 
2025-08-14T21:37:04.4351715Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4352168Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4352882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4354069Z     return mod(*inputs)
2025-08-14T21:37:04.4354869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4355596Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4356036Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 233, in forward
2025-08-14T21:37:04.4356551Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4357063Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 191, in propagate
2025-08-14T21:37:04.4357558Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4358324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4359091Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4359824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:37:04.4360514Z     x = self.act(x)
2025-08-14T21:37:04.4360693Z 
2025-08-14T21:37:04.4360833Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4361272Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4361962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4362603Z     return mod(*inputs)
2025-08-14T21:37:04.4363276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4364000Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4364447Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 233, in forward
2025-08-14T21:37:04.4364952Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4365570Z   File "/tmp/jenkins_pyg/tmpb5j0s2vp.py", line 191, in propagate
2025-08-14T21:37:04.4366050Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4366786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4367529Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4368238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:37:04.4368910Z     x = self.lins[-1](x)
2025-08-14T21:37:04.4369681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:04.4370408Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:04.4370677Z 
2025-08-14T21:37:04.4370823Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4371254Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4371942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4372550Z     return mod(*inputs)
2025-08-14T21:37:04.4373198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4374087Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4374532Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 233, in forward
2025-08-14T21:37:04.4375028Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4375546Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 191, in propagate
2025-08-14T21:37:04.4376056Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4376799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4377692Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4378007Z 
2025-08-14T21:37:04.4378153Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4378598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4379289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4379928Z     return mod(*inputs)
2025-08-14T21:37:04.4380596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4381321Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4381764Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 233, in forward
2025-08-14T21:37:04.4382358Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4383048Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 191, in propagate
2025-08-14T21:37:04.4383561Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4384348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4385141Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4385965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:37:04.4386785Z     x = self.act(x)
2025-08-14T21:37:04.4386957Z 
2025-08-14T21:37:04.4387114Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4387566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4388341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4388998Z     return mod(*inputs)
2025-08-14T21:37:04.4389686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4390427Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4390881Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 233, in forward
2025-08-14T21:37:04.4391401Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4391926Z   File "/tmp/jenkins_pyg/tmpont768zp.py", line 191, in propagate
2025-08-14T21:37:04.4392435Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4393459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4394699Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4395437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:37:04.4396137Z     x = self.lins[-1](x)
2025-08-14T21:37:04.4396916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:04.4397657Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:04.4397934Z 
2025-08-14T21:37:04.4398081Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4398522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4399457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4400286Z     return mod(*inputs)
2025-08-14T21:37:04.4401106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4401851Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4402298Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 233, in forward
2025-08-14T21:37:04.4402794Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4403310Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 191, in propagate
2025-08-14T21:37:04.4403821Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4404562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4405415Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4405726Z 
2025-08-14T21:37:04.4405867Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4406307Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4406993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4407634Z     return mod(*inputs)
2025-08-14T21:37:04.4408296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4409016Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4409457Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 233, in forward
2025-08-14T21:37:04.4418442Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4419015Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 191, in propagate
2025-08-14T21:37:04.4419542Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4420329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4421094Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4421847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:37:04.4422825Z     x = self.act(x)
2025-08-14T21:37:04.4423004Z 
2025-08-14T21:37:04.4423152Z cudagraph partition due to non gpu ops
2025-08-14T21:37:04.4423606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:04.4424314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:04.4424950Z     return mod(*inputs)
2025-08-14T21:37:04.4425632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:04.4426396Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:04.4426863Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 233, in forward
2025-08-14T21:37:04.4427375Z     return self.propagate(edge_index, x=x, size=None)
2025-08-14T21:37:04.4427903Z   File "/tmp/jenkins_pyg/tmprgahc24q.py", line 191, in propagate
2025-08-14T21:37:04.4428430Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-08-14T21:37:04.4429209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-08-14T21:37:04.4429986Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-08-14T21:37:04.4430760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:37:04.4431477Z     x = self.lins[-1](x)
2025-08-14T21:37:04.4432250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:04.4433025Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:04.4433325Z 
2025-08-14T21:37:04.4433478Z cudagraph partition due to non gpu ops
2025-08-14T21:37:08.3250730Z Compilation time (from dynamo_timed): 6.775772595
2025-08-14T21:37:08.3251186Z pass
2025-08-14T21:37:08.3251690Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:08.3253812Z TIMING: _recursive_pre_grad_passes:0.01045 _recursive_joint_graph_passes:0.20563 _recursive_post_grad_passes:0.03009 async_compile.wait:0.63094 code_gen:3.55766 inductor_compile:5.55882 backend_compile:6.23667 gc:0.00033 entire_frame_compile:6.77577 total_wall_time:6.77577
2025-08-14T21:37:08.3255810Z STATS: call_* op count: 55 | FakeTensorMode.__torch_dispatch__:1946 | FakeTensor.__torch_dispatch__:223 | ProxyTorchDispatchMode.__torch_dispatch__:493
2025-08-14T21:37:08.3256827Z Dynamo produced 1 graphs covering 55 ops with 0 graph breaks (0 unique)
2025-08-14T21:37:13.1229884Z 
2025-08-14T21:37:15.1420341Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:15.1420874Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:37:15.1421782Z cpu  eval  basic_gnn_gcn                      
2025-08-14T21:37:15.3748943Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:15.4984917Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:15.6216129Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:18.2703231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:18.2704221Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 340, in add_remaining_self_loops
2025-08-14T21:37:18.2705050Z     mask = edge_index[0] != edge_index[1]
2025-08-14T21:37:18.2705346Z 
2025-08-14T21:37:18.2705560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:18.2706413Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 343, in add_remaining_self_loops
2025-08-14T21:37:18.2707287Z     loop_index = loop_index.unsqueeze(0).repeat(2, 1)
2025-08-14T21:37:18.2707638Z 
2025-08-14T21:37:21.4411920Z cudagraph partition due to non gpu ops
2025-08-14T21:37:21.4412697Z cudagraph partition due to non gpu ops
2025-08-14T21:37:21.4413508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:21.4415308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/loop.py", line 370, in torch_dynamo_resume_in_add_remaining_self_loops_at_370
2025-08-14T21:37:21.4417185Z     edge_index = torch.cat([edge_index[:, mask], loop_index], dim=1)
2025-08-14T21:37:21.4417858Z 
2025-08-14T21:37:22.3915220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:22.3917026Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 100, in torch_dynamo_resume_in_gcn_norm_at_91
2025-08-14T21:37:22.3918951Z     deg = scatter(edge_weight, idx, dim=0, dim_size=num_nodes, reduce='sum')
2025-08-14T21:37:22.3920249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:22.3921029Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:22.3921372Z 
2025-08-14T21:37:22.3921566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:22.3922478Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 95, in torch_dynamo_resume_in_gcn_norm_at_91
2025-08-14T21:37:22.3923426Z     edge_weight = torch.ones((edge_index.size(1), ), dtype=dtype,
2025-08-14T21:37:22.3923773Z 
2025-08-14T21:37:22.3923919Z cudagraph partition due to non gpu ops
2025-08-14T21:37:22.3924815Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:22.3926482Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 103, in torch_dynamo_resume_in_gcn_norm_at_91
2025-08-14T21:37:22.3928274Z     edge_weight = deg_inv_sqrt[row] * edge_weight * deg_inv_sqrt[col]
2025-08-14T21:37:22.3928944Z 
2025-08-14T21:37:24.0213593Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:24.0214834Z    File "/tmp/jenkins_pyg/tmpabgkeqxq.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:24.0215916Z     x = self.lin(x)
2025-08-14T21:37:24.0217068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:24.0218476Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:24.0218992Z 
2025-08-14T21:37:24.0219335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:24.0220554Z    File "/tmp/jenkins_pyg/tmpabgkeqxq.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:24.0221849Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:37:24.0223172Z   File "/tmp/jenkins_pyg/tmpabgkeqxq.py", line 188, in propagate
2025-08-14T21:37:24.0224909Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-14T21:37:24.0226794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:24.0228542Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:24.0229976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:24.0230817Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:24.0231645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:37:24.0232480Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:37:24.0233296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:24.0234063Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:24.0235471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:24.0236813Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:24.0237402Z 
2025-08-14T21:37:24.0237759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:24.0238894Z    File "/tmp/jenkins_pyg/tmpabgkeqxq.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:24.0240123Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:37:24.0241125Z   File "/tmp/jenkins_pyg/tmpabgkeqxq.py", line 187, in propagate
2025-08-14T21:37:24.0242174Z     out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j)
2025-08-14T21:37:24.0243649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-08-14T21:37:24.0245129Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-08-14T21:37:24.0245853Z 
2025-08-14T21:37:24.0246103Z cudagraph partition due to non gpu ops
2025-08-14T21:37:24.0246867Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:24.0248053Z    File "/tmp/jenkins_pyg/tmpabgkeqxq.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:24.0249163Z     out = out + self.bias
2025-08-14T21:37:24.0249511Z 
2025-08-14T21:37:25.2122866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.2123609Z    File "/tmp/jenkins_pyg/tmpl4zdwb1t.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.2124201Z     x = self.lin(x)
2025-08-14T21:37:25.2125182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:25.2125993Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:25.2126287Z 
2025-08-14T21:37:25.2126481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.2127141Z    File "/tmp/jenkins_pyg/tmpl4zdwb1t.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.2127816Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:37:25.2128383Z   File "/tmp/jenkins_pyg/tmpl4zdwb1t.py", line 188, in propagate
2025-08-14T21:37:25.2129038Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-14T21:37:25.2130014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:25.2130896Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:25.2131723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:25.2132522Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:25.2133308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:37:25.2134220Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:37:25.2135087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:25.2135794Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:25.2136492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:25.2137244Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:25.2137572Z 
2025-08-14T21:37:25.2137758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.2138392Z    File "/tmp/jenkins_pyg/tmpl4zdwb1t.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.2139044Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:37:25.2139589Z   File "/tmp/jenkins_pyg/tmpl4zdwb1t.py", line 187, in propagate
2025-08-14T21:37:25.2140148Z     out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j)
2025-08-14T21:37:25.2140948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-08-14T21:37:25.2141737Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-08-14T21:37:25.2142101Z 
2025-08-14T21:37:25.2142338Z cudagraph partition due to non gpu ops
2025-08-14T21:37:25.2142973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.2143788Z    File "/tmp/jenkins_pyg/tmpl4zdwb1t.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.2144386Z     out = out + self.bias
2025-08-14T21:37:25.2144586Z 
2025-08-14T21:37:25.6785584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.6786299Z    File "/tmp/jenkins_pyg/tmpu49rqd89.py", line 240, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.6786898Z     x = self.lin(x)
2025-08-14T21:37:25.6787552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:25.6788341Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:25.6788628Z 
2025-08-14T21:37:25.6788837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.6797517Z    File "/tmp/jenkins_pyg/tmpu49rqd89.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.6798227Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:37:25.6798788Z   File "/tmp/jenkins_pyg/tmpu49rqd89.py", line 188, in propagate
2025-08-14T21:37:25.6799442Z     out = self.aggregate(out, ptr=kwargs.ptr, dim_size=kwargs.dim_size, index=kwargs.index)
2025-08-14T21:37:25.6800639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:25.6801536Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:25.6802351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:25.6803158Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:25.6803933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:37:25.6804725Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:37:25.6805504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:25.6806326Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:25.6807036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:25.6807784Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:25.6808112Z 
2025-08-14T21:37:25.6808309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.6809032Z    File "/tmp/jenkins_pyg/tmpu49rqd89.py", line 243, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.6809700Z     out = self.propagate(edge_index, x=x, edge_weight=edge_weight,
2025-08-14T21:37:25.6810242Z   File "/tmp/jenkins_pyg/tmpu49rqd89.py", line 187, in propagate
2025-08-14T21:37:25.6810795Z     out = self.message(edge_weight=kwargs.edge_weight, x_j=kwargs.x_j)
2025-08-14T21:37:25.6811584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/gcn_conv.py", line 241, in message
2025-08-14T21:37:25.6812574Z     return x_j if edge_weight is None else edge_weight.view(-1, 1) * x_j
2025-08-14T21:37:25.6812935Z 
2025-08-14T21:37:25.6813093Z cudagraph partition due to non gpu ops
2025-08-14T21:37:25.6813539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:25.6814165Z    File "/tmp/jenkins_pyg/tmpu49rqd89.py", line 247, in torch_dynamo_resume_in_forward_at_221
2025-08-14T21:37:25.6814739Z     out = out + self.bias
2025-08-14T21:37:25.6814938Z 
2025-08-14T21:37:25.9026263Z Compilation time (from dynamo_timed): 10.060798624
2025-08-14T21:37:25.9026745Z pass
2025-08-14T21:37:25.9028537Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:25.9030313Z TIMING: gc:0.00652 entire_frame_compile:10.0608 _recursive_pre_grad_passes:0.01997 _recursive_joint_graph_passes:0.2136 _recursive_post_grad_passes:0.03861 async_compile.wait:2.80335 code_gen:5.63501 inductor_compile:7.76704 backend_compile:8.87243 total_wall_time:10.0608
2025-08-14T21:37:25.9032392Z STATS: call_* op count: 57 | FakeTensorMode.__torch_dispatch__:2038 | FakeTensor.__torch_dispatch__:310 | ProxyTorchDispatchMode.__torch_dispatch__:460
2025-08-14T21:37:25.9033525Z Dynamo produced 6 graphs covering 57 ops with 6 graph breaks (1 unique)
2025-08-14T21:37:30.7498310Z 
2025-08-14T21:37:32.7411652Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:32.7412193Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:37:32.7412715Z cpu  eval  basic_gnn_gin                      
2025-08-14T21:37:32.8814139Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:32.9604837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:33.0340359Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:36.2016000Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2016764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2017418Z     return mod(*inputs)
2025-08-14T21:37:36.2018395Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2019148Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2019590Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 225, in forward
2025-08-14T21:37:36.2020172Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:36.2020667Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 182, in propagate
2025-08-14T21:37:36.2021333Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-14T21:37:36.2022434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:36.2029218Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:36.2031364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:36.2032784Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:36.2033603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:37:36.2034407Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:37:36.2035458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:36.2036191Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:36.2036927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:36.2037689Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:36.2038029Z 
2025-08-14T21:37:36.2038220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2038926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2039556Z     return mod(*inputs)
2025-08-14T21:37:36.2040228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2040962Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2041407Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 225, in forward
2025-08-14T21:37:36.2041896Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:36.2042405Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 180, in propagate
2025-08-14T21:37:36.2042931Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:37:36.2043439Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 127, in _collect
2025-08-14T21:37:36.2043897Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:37:36.2044331Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 87, in _lift
2025-08-14T21:37:36.2044806Z     return src.index_select(self.node_dim, index)
2025-08-14T21:37:36.2045087Z 
2025-08-14T21:37:36.2045277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2045983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2046618Z     return mod(*inputs)
2025-08-14T21:37:36.2047270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2048011Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2048449Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 225, in forward
2025-08-14T21:37:36.2048951Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:36.2049442Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 182, in propagate
2025-08-14T21:37:36.2050103Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-14T21:37:36.2051075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:36.2051951Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:36.2052843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:36.2054115Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:36.2054909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:37:36.2055701Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:37:36.2056486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:36.2057215Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:36.2057944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:36.2058704Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:36.2059039Z 
2025-08-14T21:37:36.2059232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2059942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2060569Z     return mod(*inputs)
2025-08-14T21:37:36.2061236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2062113Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2062839Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 225, in forward
2025-08-14T21:37:36.2063342Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:36.2063864Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 182, in propagate
2025-08-14T21:37:36.2064547Z     out = self.aggregate(out, dim_size=kwargs.dim_size, index=kwargs.index, ptr=kwargs.ptr)
2025-08-14T21:37:36.2065539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:36.2066457Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:36.2067302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:36.2068116Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:36.2068917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 21, in forward
2025-08-14T21:37:36.2069735Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='sum')
2025-08-14T21:37:36.2070540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:36.2071290Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:36.2072028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 74, in scatter
2025-08-14T21:37:36.2072820Z     return src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:36.2073153Z 
2025-08-14T21:37:36.2073314Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2073763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2074682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2075306Z     return mod(*inputs)
2025-08-14T21:37:36.2075953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2076652Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2077080Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 229, in forward
2025-08-14T21:37:36.2077523Z     out = out + (1 + self.eps) * x_r
2025-08-14T21:37:36.2077749Z 
2025-08-14T21:37:36.2077887Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2078310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2079388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2080348Z     return mod(*inputs)
2025-08-14T21:37:36.2081489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2082389Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2082837Z   File "/tmp/jenkins_pyg/tmpijtol6pz.py", line 231, in forward
2025-08-14T21:37:36.2083284Z     return self.nn(out)
2025-08-14T21:37:36.2083917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:37:36.2084605Z     x = self.act(x)
2025-08-14T21:37:36.2084771Z 
2025-08-14T21:37:36.2084925Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2090248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2091269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2092141Z     return mod(*inputs)
2025-08-14T21:37:36.2093033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2094055Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2094506Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 225, in forward
2025-08-14T21:37:36.2094995Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:36.2095607Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 180, in propagate
2025-08-14T21:37:36.2096144Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:37:36.2096671Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 127, in _collect
2025-08-14T21:37:36.2097123Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:37:36.2097559Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 87, in _lift
2025-08-14T21:37:36.2098043Z     return src.index_select(self.node_dim, index)
2025-08-14T21:37:36.2098332Z 
2025-08-14T21:37:36.2098472Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2098909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2099617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2100251Z     return mod(*inputs)
2025-08-14T21:37:36.2100906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2101644Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2102083Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 229, in forward
2025-08-14T21:37:36.2102793Z     out = out + (1 + self.eps) * x_r
2025-08-14T21:37:36.2103050Z 
2025-08-14T21:37:36.2103198Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2103651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2104376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2105016Z     return mod(*inputs)
2025-08-14T21:37:36.2105700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2106460Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2106898Z   File "/tmp/jenkins_pyg/tmpwlcp10be.py", line 231, in forward
2025-08-14T21:37:36.2107354Z     return self.nn(out)
2025-08-14T21:37:36.2108001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:37:36.2108697Z     x = self.act(x)
2025-08-14T21:37:36.2108881Z 
2025-08-14T21:37:36.2109025Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2109474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2110195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2110834Z     return mod(*inputs)
2025-08-14T21:37:36.2111514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2112272Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2112710Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 225, in forward
2025-08-14T21:37:36.2113309Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:36.2113832Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 180, in propagate
2025-08-14T21:37:36.2114475Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:37:36.2114991Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 127, in _collect
2025-08-14T21:37:36.2115454Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:37:36.2115888Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 87, in _lift
2025-08-14T21:37:36.2116353Z     return src.index_select(self.node_dim, index)
2025-08-14T21:37:36.2116648Z 
2025-08-14T21:37:36.2116788Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2117225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2117921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2118545Z     return mod(*inputs)
2025-08-14T21:37:36.2119215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2119947Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2120373Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 229, in forward
2025-08-14T21:37:36.2120910Z     out = out + (1 + self.eps) * x_r
2025-08-14T21:37:36.2121144Z 
2025-08-14T21:37:36.2121296Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2121734Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2122425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2123062Z     return mod(*inputs)
2025-08-14T21:37:36.2123732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2124457Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2124897Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 231, in forward
2025-08-14T21:37:36.2125339Z     return self.nn(out)
2025-08-14T21:37:36.2125962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-08-14T21:37:36.2126645Z     x = self.act(x)
2025-08-14T21:37:36.2126822Z 
2025-08-14T21:37:36.2126966Z cudagraph partition due to non gpu ops
2025-08-14T21:37:36.2127404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:36.2128091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:36.2128722Z     return mod(*inputs)
2025-08-14T21:37:36.2129381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:36.2130095Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:36.2130534Z   File "/tmp/jenkins_pyg/tmpq2t1xwid.py", line 231, in forward
2025-08-14T21:37:36.2130976Z     return self.nn(out)
2025-08-14T21:37:36.2131610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-08-14T21:37:36.2132287Z     x = self.lins[-1](x)
2025-08-14T21:37:36.2132935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:36.2133675Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:36.2133951Z 
2025-08-14T21:37:39.8946041Z Compilation time (from dynamo_timed): 6.735077261
2025-08-14T21:37:39.8946621Z pass
2025-08-14T21:37:39.8947853Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:39.8949758Z TIMING: _recursive_pre_grad_passes:0.01134 _recursive_joint_graph_passes:0.20273 _recursive_post_grad_passes:0.02997 async_compile.wait:0.64721 code_gen:3.50076 inductor_compile:5.51172 backend_compile:6.192 gc:0.00149 entire_frame_compile:6.73508 total_wall_time:6.73508
2025-08-14T21:37:39.8951902Z STATS: call_* op count: 52 | FakeTensorMode.__torch_dispatch__:1956 | FakeTensor.__torch_dispatch__:211 | ProxyTorchDispatchMode.__torch_dispatch__:484
2025-08-14T21:37:39.8952894Z Dynamo produced 1 graphs covering 52 ops with 0 graph breaks (0 unique)
2025-08-14T21:37:44.7083472Z 
2025-08-14T21:37:46.6964215Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:46.6964791Z loading model: 0it [00:01, ?it/s]
2025-08-14T21:37:46.6970312Z cpu  eval  basic_gnn_sage                     
2025-08-14T21:37:46.8279085Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:46.9004929Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:46.9756660Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:50.0483641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0484885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0485713Z     return mod(*inputs)
2025-08-14T21:37:50.0486429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0487194Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0487952Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 228, in forward
2025-08-14T21:37:50.0488448Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0488960Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 182, in propagate
2025-08-14T21:37:50.0489618Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0490591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0491466Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0492278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0493085Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0493877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0494667Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0495453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0496183Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0496902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-14T21:37:50.0497660Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:50.0497987Z 
2025-08-14T21:37:50.0498180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0498884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0499516Z     return mod(*inputs)
2025-08-14T21:37:50.0500183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0501155Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0501601Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 228, in forward
2025-08-14T21:37:50.0502104Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0502691Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 180, in propagate
2025-08-14T21:37:50.0503420Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:37:50.0503944Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 127, in _collect
2025-08-14T21:37:50.0504419Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:37:50.0504874Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 87, in _lift
2025-08-14T21:37:50.0505353Z     return src.index_select(self.node_dim, index)
2025-08-14T21:37:50.0505660Z 
2025-08-14T21:37:50.0506021Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0506759Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0507420Z     return mod(*inputs)
2025-08-14T21:37:50.0508106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0508868Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0509324Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 228, in forward
2025-08-14T21:37:50.0509820Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0510334Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 182, in propagate
2025-08-14T21:37:50.0511008Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0512007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0512914Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0513756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0514673Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0515524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0516321Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0517106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0517838Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0518553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:37:50.0519330Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:37:50.0519661Z 
2025-08-14T21:37:50.0519870Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0520573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0521197Z     return mod(*inputs)
2025-08-14T21:37:50.0521866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0522598Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0523026Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 228, in forward
2025-08-14T21:37:50.0523521Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0524025Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 182, in propagate
2025-08-14T21:37:50.0524682Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0525638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0526528Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0527341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0528125Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0528911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0529706Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0530493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0531209Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0531937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 78, in scatter
2025-08-14T21:37:50.0532716Z     count.scatter_add_(0, index, src.new_ones(src.size(dim)))
2025-08-14T21:37:50.0533111Z 
2025-08-14T21:37:50.0533315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0534005Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0534647Z     return mod(*inputs)
2025-08-14T21:37:50.0535314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0536033Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0536476Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 233, in forward
2025-08-14T21:37:50.0536932Z     out = out + self.lin_r(x_r)
2025-08-14T21:37:50.0537604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:50.0538331Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:50.0538621Z 
2025-08-14T21:37:50.0538811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0539520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0540143Z     return mod(*inputs)
2025-08-14T21:37:50.0540811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0542103Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0543001Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 228, in forward
2025-08-14T21:37:50.0543522Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0544050Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 182, in propagate
2025-08-14T21:37:50.0544732Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0545728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0546836Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0548029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0548994Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0549807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0550630Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0551447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0552204Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0552943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-14T21:37:50.0554225Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:50.0554554Z 
2025-08-14T21:37:50.0554891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0555600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0556243Z     return mod(*inputs)
2025-08-14T21:37:50.0556913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0557653Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0558082Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 228, in forward
2025-08-14T21:37:50.0558582Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0559083Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 182, in propagate
2025-08-14T21:37:50.0559723Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0560691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0561755Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0562576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0568164Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0570255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0572338Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0573672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0574390Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0575123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 82, in scatter
2025-08-14T21:37:50.0575879Z     out = src.new_zeros(size).scatter_add_(dim, index, src)
2025-08-14T21:37:50.0576191Z 
2025-08-14T21:37:50.0576339Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0576732Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0577170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0577874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0578610Z     return mod(*inputs)
2025-08-14T21:37:50.0579279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0580017Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0580451Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 228, in forward
2025-08-14T21:37:50.0580955Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0581455Z   File "/tmp/jenkins_pyg/tmpr92uip8o.py", line 182, in propagate
2025-08-14T21:37:50.0582115Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0583185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0584268Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0585117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0585923Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0586736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0587558Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0588366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0589102Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0589864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-14T21:37:50.0590599Z     return out / broadcast(count, out, dim)
2025-08-14T21:37:50.0590871Z 
2025-08-14T21:37:50.0591028Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0591469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0592203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0592857Z     return mod(*inputs)
2025-08-14T21:37:50.0593533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-14T21:37:50.0594387Z     x = self.act(x)
2025-08-14T21:37:50.0594571Z 
2025-08-14T21:37:50.0594759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0595457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0596075Z     return mod(*inputs)
2025-08-14T21:37:50.0596814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0597553Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0597983Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 228, in forward
2025-08-14T21:37:50.0598491Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0599000Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 180, in propagate
2025-08-14T21:37:50.0599531Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:37:50.0600043Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 127, in _collect
2025-08-14T21:37:50.0600504Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:37:50.0600938Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 87, in _lift
2025-08-14T21:37:50.0601404Z     return src.index_select(self.node_dim, index)
2025-08-14T21:37:50.0601699Z 
2025-08-14T21:37:50.0601841Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0602281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0602979Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0603616Z     return mod(*inputs)
2025-08-14T21:37:50.0604287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0605086Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0605518Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 228, in forward
2025-08-14T21:37:50.0606018Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0606521Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 182, in propagate
2025-08-14T21:37:50.0607163Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0608129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0609013Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0609831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0610609Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0611425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0612223Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0613009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0613727Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0614460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-14T21:37:50.0615174Z     return out / broadcast(count, out, dim)
2025-08-14T21:37:50.0615436Z 
2025-08-14T21:37:50.0615622Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0616056Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0616761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0617404Z     return mod(*inputs)
2025-08-14T21:37:50.0618077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0618801Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0619254Z   File "/tmp/jenkins_pyg/tmpaxrwenah.py", line 233, in forward
2025-08-14T21:37:50.0619711Z     out = out + self.lin_r(x_r)
2025-08-14T21:37:50.0620372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:50.0621115Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:50.0621404Z 
2025-08-14T21:37:50.0621595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0622441Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0623082Z     return mod(*inputs)
2025-08-14T21:37:50.0623747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 234, in forward
2025-08-14T21:37:50.0624670Z     x = self.act(x)
2025-08-14T21:37:50.0624845Z 
2025-08-14T21:37:50.0625053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0631060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0632744Z     return mod(*inputs)
2025-08-14T21:37:50.0634467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0636387Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0636827Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 228, in forward
2025-08-14T21:37:50.0637328Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0637822Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 180, in propagate
2025-08-14T21:37:50.0638351Z     kwargs = self._collect(edge_index, the_size, in_kwargs)
2025-08-14T21:37:50.0638872Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 127, in _collect
2025-08-14T21:37:50.0639412Z     x_j = self._lift(x_j, edge_def, j)
2025-08-14T21:37:50.0639833Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 87, in _lift
2025-08-14T21:37:50.0640316Z     return src.index_select(self.node_dim, index)
2025-08-14T21:37:50.0640600Z 
2025-08-14T21:37:50.0640754Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0641177Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0641883Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0642520Z     return mod(*inputs)
2025-08-14T21:37:50.0643290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0644000Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0644431Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 228, in forward
2025-08-14T21:37:50.0645024Z     out = self.propagate(edge_index, x=x, size=size)
2025-08-14T21:37:50.0645478Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 182, in propagate
2025-08-14T21:37:50.0646077Z     out = self.aggregate(out, ptr=kwargs.ptr, index=kwargs.index, dim_size=kwargs.dim_size)
2025-08-14T21:37:50.0646960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-08-14T21:37:50.0647772Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-08-14T21:37:50.0648507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-08-14T21:37:50.0649241Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-08-14T21:37:50.0649963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/basic.py", line 34, in forward
2025-08-14T21:37:50.0650695Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='mean')
2025-08-14T21:37:50.0651402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-08-14T21:37:50.0652074Z     return scatter(x, index, dim, dim_size, reduce)
2025-08-14T21:37:50.0652743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/utils/scatter.py", line 84, in scatter
2025-08-14T21:37:50.0653946Z     return out / broadcast(count, out, dim)
2025-08-14T21:37:50.0654229Z 
2025-08-14T21:37:50.0654379Z cudagraph partition due to non gpu ops
2025-08-14T21:37:50.0654832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0655536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0656157Z     return mod(*inputs)
2025-08-14T21:37:50.0656963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0657704Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0658132Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 233, in forward
2025-08-14T21:37:50.0658593Z     out = out + self.lin_r(x_r)
2025-08-14T21:37:50.0659269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-08-14T21:37:50.0660015Z     return F.linear(x, self.weight, self.bias)
2025-08-14T21:37:50.0660290Z 
2025-08-14T21:37:50.0660481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:37:50.0661183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:37:50.0661820Z     return mod(*inputs)
2025-08-14T21:37:50.0662558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-08-14T21:37:50.0663485Z     x = self.convs[i](x, edge_index)
2025-08-14T21:37:50.0663951Z   File "/tmp/jenkins_pyg/tmph6jty2mk.py", line 233, in forward
2025-08-14T21:37:50.0664417Z     out = out + self.lin_r(x_r)
2025-08-14T21:37:50.0664642Z 
2025-08-14T21:37:53.6952782Z Compilation time (from dynamo_timed): 6.35363555
2025-08-14T21:37:53.6954169Z pass
2025-08-14T21:37:53.6956078Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:53.6957672Z TIMING: _recursive_pre_grad_passes:0.01214 _recursive_joint_graph_passes:0.20899 _recursive_post_grad_passes:0.02946 async_compile.wait:0.64673 code_gen:3.24571 inductor_compile:5.25147 backend_compile:5.90146 gc:0.00024 entire_frame_compile:6.35364 total_wall_time:6.35364
2025-08-14T21:37:53.6959573Z STATS: call_* op count: 58 | FakeTensorMode.__torch_dispatch__:1800 | FakeTensor.__torch_dispatch__:191 | ProxyTorchDispatchMode.__torch_dispatch__:487
2025-08-14T21:37:53.6960550Z Dynamo produced 1 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-14T21:37:58.4687297Z 
2025-08-14T21:37:58.7316659Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:58.7317184Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:37:58.7317663Z cpu  eval  dcgan                              
2025-08-14T21:37:58.7599241Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:58.7706054Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:37:58.7786063Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:03.3052359Z cudagraph partition due to non gpu ops
2025-08-14T21:38:03.3052872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3054181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3054906Z     return mod(*inputs)
2025-08-14T21:38:03.3055416Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3056007Z     return self.main(input)
2025-08-14T21:38:03.3056237Z 
2025-08-14T21:38:03.3056458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3057161Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3057815Z     return mod(*inputs)
2025-08-14T21:38:03.3058299Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3058868Z     return self.main(input)
2025-08-14T21:38:03.3059074Z 
2025-08-14T21:38:03.3059275Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3059960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3060595Z     return mod(*inputs)
2025-08-14T21:38:03.3061096Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3061662Z     return self.main(input)
2025-08-14T21:38:03.3061866Z 
2025-08-14T21:38:03.3062478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3063412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3064069Z     return mod(*inputs)
2025-08-14T21:38:03.3064582Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3065172Z     return self.main(input)
2025-08-14T21:38:03.3065395Z 
2025-08-14T21:38:03.3065588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3066306Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3066941Z     return mod(*inputs)
2025-08-14T21:38:03.3067452Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3068037Z     return self.main(input)
2025-08-14T21:38:03.3068247Z 
2025-08-14T21:38:03.3068440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3069160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3069809Z     return mod(*inputs)
2025-08-14T21:38:03.3070315Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3070997Z     return self.main(input)
2025-08-14T21:38:03.3071221Z 
2025-08-14T21:38:03.3071412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3072135Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3072772Z     return mod(*inputs)
2025-08-14T21:38:03.3073283Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3073863Z     return self.main(input)
2025-08-14T21:38:03.3074189Z 
2025-08-14T21:38:03.3074391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:03.3075069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:38:03.3075705Z     return mod(*inputs)
2025-08-14T21:38:03.3076196Z   File "/torchbench/torchbenchmark/models/dcgan/__init__.py", line 128, in forward
2025-08-14T21:38:03.3076743Z     return self.main(input)
2025-08-14T21:38:03.3076964Z 
2025-08-14T21:38:03.3077104Z cudagraph partition due to non gpu ops
2025-08-14T21:38:03.3077492Z cudagraph partition due to non gpu ops
2025-08-14T21:38:06.5122216Z Compilation time (from dynamo_timed): 6.483190673
2025-08-14T21:38:06.5122659Z pass
2025-08-14T21:38:06.5125040Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:06.5126650Z TIMING: _recursive_pre_grad_passes:0.00864 _recursive_joint_graph_passes:0.35796 _recursive_post_grad_passes:0.02727 async_compile.wait:0.59533 code_gen:3.05517 inductor_compile:5.01458 backend_compile:6.03688 gc:0.00104 entire_frame_compile:6.48319 total_wall_time:6.48319
2025-08-14T21:38:06.5128492Z STATS: call_* op count: 13 | FakeTensorMode.__torch_dispatch__:1800 | FakeTensor.__torch_dispatch__:105 | ProxyTorchDispatchMode.__torch_dispatch__:379
2025-08-14T21:38:06.5137537Z Dynamo produced 1 graphs covering 13 ops with 0 graph breaks (0 unique)
2025-08-14T21:38:11.2310841Z 
2025-08-14T21:38:14.1503500Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:38:14.1504203Z loading model: 0it [00:02, ?it/s]
2025-08-14T21:38:14.1509905Z cpu  eval  demucs                             
2025-08-14T21:38:16.5545594Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:17.7682261Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:18.7879135Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:23.2625368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:23.2626065Z    File "/torchbench/torchbenchmark/models/demucs/__init__.py", line 32, in forward
2025-08-14T21:38:23.2627002Z     mix = sources.sum(dim=1)
2025-08-14T21:38:23.2627232Z 
2025-08-14T21:38:27.7627504Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7628544Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7629217Z     x = encode(x)
2025-08-14T21:38:27.7629390Z 
2025-08-14T21:38:27.7629599Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7630263Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7630869Z     x = encode(x)
2025-08-14T21:38:27.7631038Z 
2025-08-14T21:38:27.7631246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7631905Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7632502Z     x = encode(x)
2025-08-14T21:38:27.7632668Z 
2025-08-14T21:38:27.7632846Z cudagraph partition due to non gpu ops
2025-08-14T21:38:27.7633384Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7634047Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7634645Z     x = encode(x)
2025-08-14T21:38:27.7634813Z 
2025-08-14T21:38:27.7635456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7636095Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7636679Z     x = encode(x)
2025-08-14T21:38:27.7636854Z 
2025-08-14T21:38:27.7637040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7637691Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7638261Z     x = encode(x)
2025-08-14T21:38:27.7638436Z 
2025-08-14T21:38:27.7638582Z cudagraph partition due to non gpu ops
2025-08-14T21:38:27.7639022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7639660Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7640247Z     x = encode(x)
2025-08-14T21:38:27.7640420Z 
2025-08-14T21:38:27.7640605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7641257Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7641829Z     x = encode(x)
2025-08-14T21:38:27.7641999Z 
2025-08-14T21:38:27.7642185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7642833Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7643398Z     x = encode(x)
2025-08-14T21:38:27.7643571Z 
2025-08-14T21:38:27.7643711Z cudagraph partition due to non gpu ops
2025-08-14T21:38:27.7644166Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7644815Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7645379Z     x = encode(x)
2025-08-14T21:38:27.7645551Z 
2025-08-14T21:38:27.7645742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7646391Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7646970Z     x = encode(x)
2025-08-14T21:38:27.7647137Z 
2025-08-14T21:38:27.7647322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7647969Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7648552Z     x = encode(x)
2025-08-14T21:38:27.7648711Z 
2025-08-14T21:38:27.7648850Z cudagraph partition due to non gpu ops
2025-08-14T21:38:27.7649285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7649934Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7650510Z     x = encode(x)
2025-08-14T21:38:27.7650669Z 
2025-08-14T21:38:27.7650853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7651664Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7652249Z     x = encode(x)
2025-08-14T21:38:27.7652408Z 
2025-08-14T21:38:27.7652595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7653710Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7654304Z     x = encode(x)
2025-08-14T21:38:27.7654468Z 
2025-08-14T21:38:27.7654623Z cudagraph partition due to non gpu ops
2025-08-14T21:38:27.7655046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7655697Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7656276Z     x = encode(x)
2025-08-14T21:38:27.7656435Z 
2025-08-14T21:38:27.7656619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7657269Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7657847Z     x = encode(x)
2025-08-14T21:38:27.7658008Z 
2025-08-14T21:38:27.7658211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:27.7658849Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 215, in forward
2025-08-14T21:38:27.7659535Z     x = encode(x)
2025-08-14T21:38:27.7659697Z 
2025-08-14T21:38:27.7659850Z cudagraph partition due to non gpu ops
2025-08-14T21:38:31.0248444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0249345Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0250089Z     x = x + skip
2025-08-14T21:38:31.0250258Z 
2025-08-14T21:38:31.0250421Z cudagraph partition due to non gpu ops
2025-08-14T21:38:31.0250852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0251656Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0252384Z     x = decode(x)
2025-08-14T21:38:31.0252547Z 
2025-08-14T21:38:31.0252768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0254448Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0255885Z     x = decode(x)
2025-08-14T21:38:31.0256191Z 
2025-08-14T21:38:31.0256553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0258007Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0259363Z     x = decode(x)
2025-08-14T21:38:31.0259656Z 
2025-08-14T21:38:31.0260004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0261523Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0263149Z     x = x + skip
2025-08-14T21:38:31.0263453Z 
2025-08-14T21:38:31.0263794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0265362Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0266770Z     x = decode(x)
2025-08-14T21:38:31.0267087Z 
2025-08-14T21:38:31.0267462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0269092Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0270573Z     x = decode(x)
2025-08-14T21:38:31.0270884Z 
2025-08-14T21:38:31.0271231Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0272801Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0274335Z     x = decode(x)
2025-08-14T21:38:31.0274627Z 
2025-08-14T21:38:31.0274966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0276956Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0278380Z     x = x + skip
2025-08-14T21:38:31.0278673Z 
2025-08-14T21:38:31.0279037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0280554Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0281977Z     x = decode(x)
2025-08-14T21:38:31.0282278Z 
2025-08-14T21:38:31.0282642Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0284179Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0285602Z     x = decode(x)
2025-08-14T21:38:31.0285912Z 
2025-08-14T21:38:31.0286256Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0287789Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0289196Z     x = decode(x)
2025-08-14T21:38:31.0289494Z 
2025-08-14T21:38:31.0289855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0291396Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0293044Z     x = x + skip
2025-08-14T21:38:31.0293341Z 
2025-08-14T21:38:31.0293693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0295223Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0296624Z     x = decode(x)
2025-08-14T21:38:31.0296925Z 
2025-08-14T21:38:31.0297287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0298792Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0300193Z     x = decode(x)
2025-08-14T21:38:31.0300489Z 
2025-08-14T21:38:31.0300850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0302494Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0304077Z     x = decode(x)
2025-08-14T21:38:31.0304398Z 
2025-08-14T21:38:31.0304761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0306341Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0307769Z     x = x + skip
2025-08-14T21:38:31.0308098Z 
2025-08-14T21:38:31.0308450Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0310037Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0311688Z     x = decode(x)
2025-08-14T21:38:31.0311996Z 
2025-08-14T21:38:31.0312346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0313930Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0315467Z     x = decode(x)
2025-08-14T21:38:31.0315760Z 
2025-08-14T21:38:31.0316102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0317638Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0319067Z     x = decode(x)
2025-08-14T21:38:31.0319358Z 
2025-08-14T21:38:31.0319709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0321230Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 225, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0322626Z     x = x + skip
2025-08-14T21:38:31.0322914Z 
2025-08-14T21:38:31.0323265Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0324796Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0326199Z     x = decode(x)
2025-08-14T21:38:31.0326657Z 
2025-08-14T21:38:31.0327010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0328635Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0329995Z     x = decode(x)
2025-08-14T21:38:31.0330297Z 
2025-08-14T21:38:31.0330630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:38:31.0332153Z    File "/torchbench/torchbenchmark/models/demucs/demucs/model.py", line 226, in torch_dynamo_resume_in_forward_at_220
2025-08-14T21:38:31.0333446Z     x = decode(x)
2025-08-14T21:38:31.0333710Z 
2025-08-14T21:38:34.0525536Z Compilation time (from dynamo_timed): 12.806272062
2025-08-14T21:38:34.0541837Z pass
2025-08-14T21:38:34.0544422Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:34.0546298Z TIMING: gc:0.00445 entire_frame_compile:12.80627 _recursive_pre_grad_passes:0.01622 _recursive_joint_graph_passes:0.36425 _recursive_post_grad_passes:0.03761 async_compile.wait:2.48895 code_gen:7.09618 inductor_compile:9.35154 backend_compile:10.58965 total_wall_time:12.80627
2025-08-14T21:38:34.0548208Z STATS: call_* op count: 62 | FakeTensorMode.__torch_dispatch__:2995 | ProxyTorchDispatchMode.__torch_dispatch__:659 | FakeTensor.__torch_dispatch__:403
2025-08-14T21:38:34.0549469Z Dynamo produced 3 graphs covering 62 ops with 3 graph breaks (1 unique)
2025-08-14T21:38:38.9264970Z 
2025-08-14T21:38:39.2658497Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/densenet121-a639ec97.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/densenet121-a639ec97.pth
2025-08-14T21:38:39.2851058Z 
2025-08-14T21:38:39.2851115Z 
2025-08-14T21:38:39.3855018Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-08-14T21:38:39.3855341Z 
2025-08-14T21:38:39.4225739Z  73% 22.5M/30.8M [00:00<00:00, 235MB/s]
2025-08-14T21:38:39.4226155Z 100% 30.8M/30.8M [00:00<00:00, 236MB/s]
2025-08-14T21:38:39.8514748Z 
2025-08-14T21:38:39.8515427Z loading model: 0it [00:00, ?it/s]
2025-08-14T21:38:39.8555798Z cpu  eval  densenet121                        
2025-08-14T21:38:40.6476050Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:40.8801343Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:38:41.1082121Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:39:19.9930286Z cudagraph partition due to non gpu ops
2025-08-14T21:39:19.9930843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9931768Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9932493Z     return mod(*inputs)
2025-08-14T21:39:19.9933523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9934342Z     features = self.features(x)
2025-08-14T21:39:19.9934612Z 
2025-08-14T21:39:19.9934849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9935627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9936286Z     return mod(*inputs)
2025-08-14T21:39:19.9936911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9937653Z     features = self.features(x)
2025-08-14T21:39:19.9937878Z 
2025-08-14T21:39:19.9938139Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9938867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9939571Z     return mod(*inputs)
2025-08-14T21:39:19.9940349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9941174Z     features = self.features(x)
2025-08-14T21:39:19.9941399Z 
2025-08-14T21:39:19.9941901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9942766Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9943556Z     return mod(*inputs)
2025-08-14T21:39:19.9944434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9945255Z     features = self.features(x)
2025-08-14T21:39:19.9946012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9946837Z     new_features = layer(features)
2025-08-14T21:39:19.9947573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:19.9948541Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:19.9948993Z 
2025-08-14T21:39:19.9949222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9950073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9950780Z     return mod(*inputs)
2025-08-14T21:39:19.9951509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9952458Z     features = self.features(x)
2025-08-14T21:39:19.9953693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9954494Z     new_features = layer(features)
2025-08-14T21:39:19.9955279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:19.9956319Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:19.9956743Z 
2025-08-14T21:39:19.9956937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9957698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9958383Z     return mod(*inputs)
2025-08-14T21:39:19.9959081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9959835Z     features = self.features(x)
2025-08-14T21:39:19.9960618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9961517Z     new_features = layer(features)
2025-08-14T21:39:19.9962188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:19.9963119Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:19.9963558Z 
2025-08-14T21:39:19.9963779Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9964562Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9965250Z     return mod(*inputs)
2025-08-14T21:39:19.9965920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9966692Z     features = self.features(x)
2025-08-14T21:39:19.9967421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9968225Z     new_features = layer(features)
2025-08-14T21:39:19.9969002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:19.9969848Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:19.9970294Z 
2025-08-14T21:39:19.9970509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9971290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9971986Z     return mod(*inputs)
2025-08-14T21:39:19.9972919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9973698Z     features = self.features(x)
2025-08-14T21:39:19.9974406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9975199Z     new_features = layer(features)
2025-08-14T21:39:19.9975963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:19.9976826Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:19.9977721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:19.9978553Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:19.9978837Z 
2025-08-14T21:39:19.9979042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9979839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9980549Z     return mod(*inputs)
2025-08-14T21:39:19.9981254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9982472Z     features = self.features(x)
2025-08-14T21:39:19.9983274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9984174Z     new_features = layer(features)
2025-08-14T21:39:19.9984862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:19.9985645Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:19.9986441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:19.9987401Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:19.9987945Z 
2025-08-14T21:39:19.9988154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9988963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9989712Z     return mod(*inputs)
2025-08-14T21:39:19.9990439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9991231Z     features = self.features(x)
2025-08-14T21:39:19.9992057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9992863Z     new_features = layer(features)
2025-08-14T21:39:19.9993624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:19.9994628Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:19.9995061Z 
2025-08-14T21:39:19.9995306Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:19.9996083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:19.9996753Z     return mod(*inputs)
2025-08-14T21:39:19.9997479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:19.9998244Z     features = self.features(x)
2025-08-14T21:39:19.9998902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:19.9999707Z     new_features = layer(features)
2025-08-14T21:39:20.0000471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0001390Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0001883Z 
2025-08-14T21:39:20.0002113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0002971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0003653Z     return mod(*inputs)
2025-08-14T21:39:20.0004369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0005188Z     features = self.features(x)
2025-08-14T21:39:20.0005887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0006661Z     new_features = layer(features)
2025-08-14T21:39:20.0007394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0008305Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0008713Z 
2025-08-14T21:39:20.0008919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0009729Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0010385Z     return mod(*inputs)
2025-08-14T21:39:20.0011120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0011923Z     features = self.features(x)
2025-08-14T21:39:20.0012613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0013466Z     new_features = layer(features)
2025-08-14T21:39:20.0014215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0015106Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0015493Z 
2025-08-14T21:39:20.0015709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0016534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0017246Z     return mod(*inputs)
2025-08-14T21:39:20.0017942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0018716Z     features = self.features(x)
2025-08-14T21:39:20.0019460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0020205Z     new_features = layer(features)
2025-08-14T21:39:20.0020954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0021809Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0022699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0023490Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0023798Z 
2025-08-14T21:39:20.0024197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0024993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0025702Z     return mod(*inputs)
2025-08-14T21:39:20.0026414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0027205Z     features = self.features(x)
2025-08-14T21:39:20.0027976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0028740Z     new_features = layer(features)
2025-08-14T21:39:20.0029501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0030393Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0031191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0032244Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0032785Z 
2025-08-14T21:39:20.0033090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0033930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0034696Z     return mod(*inputs)
2025-08-14T21:39:20.0035516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0036308Z     features = self.features(x)
2025-08-14T21:39:20.0037041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0037812Z     new_features = layer(features)
2025-08-14T21:39:20.0038586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0039491Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0039875Z 
2025-08-14T21:39:20.0040115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0040871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0041600Z     return mod(*inputs)
2025-08-14T21:39:20.0042307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0043190Z     features = self.features(x)
2025-08-14T21:39:20.0043926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0049839Z     new_features = layer(features)
2025-08-14T21:39:20.0050628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0051676Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0052109Z 
2025-08-14T21:39:20.0052341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0053578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0054334Z     return mod(*inputs)
2025-08-14T21:39:20.0055059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0055820Z     features = self.features(x)
2025-08-14T21:39:20.0056588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0057395Z     new_features = layer(features)
2025-08-14T21:39:20.0058151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0059032Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0059490Z 
2025-08-14T21:39:20.0059685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0060461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0061152Z     return mod(*inputs)
2025-08-14T21:39:20.0061863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0062707Z     features = self.features(x)
2025-08-14T21:39:20.0063642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0064433Z     new_features = layer(features)
2025-08-14T21:39:20.0065176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0066147Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0066572Z 
2025-08-14T21:39:20.0066820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0067567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0068317Z     return mod(*inputs)
2025-08-14T21:39:20.0069218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0070004Z     features = self.features(x)
2025-08-14T21:39:20.0070770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0071578Z     new_features = layer(features)
2025-08-14T21:39:20.0072278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0073055Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0073918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0074945Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0079513Z 
2025-08-14T21:39:20.0079845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0080797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0081453Z     return mod(*inputs)
2025-08-14T21:39:20.0082115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0082816Z     features = self.features(x)
2025-08-14T21:39:20.0083629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0084340Z     new_features = layer(features)
2025-08-14T21:39:20.0085012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0085776Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0086550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0087475Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0087937Z 
2025-08-14T21:39:20.0088129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0088837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0089476Z     return mod(*inputs)
2025-08-14T21:39:20.0090109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0090803Z     features = self.features(x)
2025-08-14T21:39:20.0091468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0092169Z     new_features = layer(features)
2025-08-14T21:39:20.0092833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0093657Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0094049Z 
2025-08-14T21:39:20.0094241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0094945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0095567Z     return mod(*inputs)
2025-08-14T21:39:20.0096200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0096905Z     features = self.features(x)
2025-08-14T21:39:20.0097554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0098254Z     new_features = layer(features)
2025-08-14T21:39:20.0098932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0099753Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0100133Z 
2025-08-14T21:39:20.0100322Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0101025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0101657Z     return mod(*inputs)
2025-08-14T21:39:20.0102360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0103324Z     features = self.features(x)
2025-08-14T21:39:20.0104018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0104749Z     new_features = layer(features)
2025-08-14T21:39:20.0105434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0106286Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0106697Z 
2025-08-14T21:39:20.0106953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0109280Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0109929Z     return mod(*inputs)
2025-08-14T21:39:20.0110590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0111318Z     features = self.features(x)
2025-08-14T21:39:20.0111992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0112815Z     new_features = layer(features)
2025-08-14T21:39:20.0113513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0114364Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0114753Z 
2025-08-14T21:39:20.0114949Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0115784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0116426Z     return mod(*inputs)
2025-08-14T21:39:20.0117051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0117757Z     features = self.features(x)
2025-08-14T21:39:20.0118425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0119131Z     new_features = layer(features)
2025-08-14T21:39:20.0119802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0120558Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0121330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0122073Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0122338Z 
2025-08-14T21:39:20.0122527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0123226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0123865Z     return mod(*inputs)
2025-08-14T21:39:20.0124492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0125197Z     features = self.features(x)
2025-08-14T21:39:20.0125862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0126570Z     new_features = layer(features)
2025-08-14T21:39:20.0127236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0127995Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0128768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0129677Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0130153Z 
2025-08-14T21:39:20.0130340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0131108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0131745Z     return mod(*inputs)
2025-08-14T21:39:20.0132373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0133076Z     features = self.features(x)
2025-08-14T21:39:20.0133742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0134428Z     new_features = layer(features)
2025-08-14T21:39:20.0135105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0135928Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0136305Z 
2025-08-14T21:39:20.0136503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0137191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0137832Z     return mod(*inputs)
2025-08-14T21:39:20.0138469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0139166Z     features = self.features(x)
2025-08-14T21:39:20.0139887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0140587Z     new_features = layer(features)
2025-08-14T21:39:20.0141265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0142073Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0142465Z 
2025-08-14T21:39:20.0142751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0143645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0144304Z     return mod(*inputs)
2025-08-14T21:39:20.0144952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0145678Z     features = self.features(x)
2025-08-14T21:39:20.0146361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0147075Z     new_features = layer(features)
2025-08-14T21:39:20.0147774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0148623Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0149013Z 
2025-08-14T21:39:20.0149218Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0149929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0150589Z     return mod(*inputs)
2025-08-14T21:39:20.0151249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0151960Z     features = self.features(x)
2025-08-14T21:39:20.0152645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0153857Z     new_features = layer(features)
2025-08-14T21:39:20.0154565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0155515Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0155911Z 
2025-08-14T21:39:20.0156101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0156807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0157446Z     return mod(*inputs)
2025-08-14T21:39:20.0158067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0158766Z     features = self.features(x)
2025-08-14T21:39:20.0159567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0160260Z     new_features = layer(features)
2025-08-14T21:39:20.0160943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0161705Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0162479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0163211Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0163492Z 
2025-08-14T21:39:20.0163681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0164384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0165009Z     return mod(*inputs)
2025-08-14T21:39:20.0165753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0166396Z     features = self.features(x)
2025-08-14T21:39:20.0167003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0167712Z     new_features = layer(features)
2025-08-14T21:39:20.0168334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0169030Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0170264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0171190Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0171662Z 
2025-08-14T21:39:20.0171853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0172563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0173186Z     return mod(*inputs)
2025-08-14T21:39:20.0173828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0174542Z     features = self.features(x)
2025-08-14T21:39:20.0175211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0175904Z     new_features = layer(features)
2025-08-14T21:39:20.0176580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0177405Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0177784Z 
2025-08-14T21:39:20.0177973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0178671Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0179312Z     return mod(*inputs)
2025-08-14T21:39:20.0179944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0180635Z     features = self.features(x)
2025-08-14T21:39:20.0181326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0182034Z     new_features = layer(features)
2025-08-14T21:39:20.0182801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0183830Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0184234Z 
2025-08-14T21:39:20.0184432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0185158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0185804Z     return mod(*inputs)
2025-08-14T21:39:20.0186537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0187269Z     features = self.features(x)
2025-08-14T21:39:20.0187943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0188679Z     new_features = layer(features)
2025-08-14T21:39:20.0189379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0190232Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0190622Z 
2025-08-14T21:39:20.0190818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0191545Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0192202Z     return mod(*inputs)
2025-08-14T21:39:20.0192861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0193580Z     features = self.features(x)
2025-08-14T21:39:20.0194374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0195061Z     new_features = layer(features)
2025-08-14T21:39:20.0195866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0196625Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0196990Z 
2025-08-14T21:39:20.0197122Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0197530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0198160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0198744Z     return mod(*inputs)
2025-08-14T21:39:20.0199326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0199961Z     features = self.features(x)
2025-08-14T21:39:20.0200573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:39:20.0201222Z     return torch.cat(features, 1)
2025-08-14T21:39:20.0201441Z 
2025-08-14T21:39:20.0201625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0202256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0202837Z     return mod(*inputs)
2025-08-14T21:39:20.0203415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0204045Z     features = self.features(x)
2025-08-14T21:39:20.0204261Z 
2025-08-14T21:39:20.0204432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0205074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0205659Z     return mod(*inputs)
2025-08-14T21:39:20.0206235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0206880Z     features = self.features(x)
2025-08-14T21:39:20.0207085Z 
2025-08-14T21:39:20.0207270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0207896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0208475Z     return mod(*inputs)
2025-08-14T21:39:20.0209053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0209693Z     features = self.features(x)
2025-08-14T21:39:20.0209894Z 
2025-08-14T21:39:20.0210067Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0210706Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0211289Z     return mod(*inputs)
2025-08-14T21:39:20.0211928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0212577Z     features = self.features(x)
2025-08-14T21:39:20.0213192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0213848Z     new_features = layer(features)
2025-08-14T21:39:20.0214460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0215221Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0215567Z 
2025-08-14T21:39:20.0215751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0216394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0216964Z     return mod(*inputs)
2025-08-14T21:39:20.0217552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0218193Z     features = self.features(x)
2025-08-14T21:39:20.0218789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0219519Z     new_features = layer(features)
2025-08-14T21:39:20.0220141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0220898Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0221245Z 
2025-08-14T21:39:20.0221419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0222064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0222734Z     return mod(*inputs)
2025-08-14T21:39:20.0223514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0224399Z     features = self.features(x)
2025-08-14T21:39:20.0225099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0225822Z     new_features = layer(features)
2025-08-14T21:39:20.0226511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0227359Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0227746Z 
2025-08-14T21:39:20.0227955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0228659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0229310Z     return mod(*inputs)
2025-08-14T21:39:20.0229961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0230684Z     features = self.features(x)
2025-08-14T21:39:20.0231361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0232256Z     new_features = layer(features)
2025-08-14T21:39:20.0232962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0233820Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0234212Z 
2025-08-14T21:39:20.0234408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0235134Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0235788Z     return mod(*inputs)
2025-08-14T21:39:20.0236535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0237239Z     features = self.features(x)
2025-08-14T21:39:20.0237904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0238676Z     new_features = layer(features)
2025-08-14T21:39:20.0239343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0240099Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0240873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0241599Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0241880Z 
2025-08-14T21:39:20.0242068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0242775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0243417Z     return mod(*inputs)
2025-08-14T21:39:20.0244037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0244743Z     features = self.features(x)
2025-08-14T21:39:20.0245414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0246105Z     new_features = layer(features)
2025-08-14T21:39:20.0246790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0247609Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0248378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0249379Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0249844Z 
2025-08-14T21:39:20.0250029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0250811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0251403Z     return mod(*inputs)
2025-08-14T21:39:20.0251980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0252632Z     features = self.features(x)
2025-08-14T21:39:20.0253742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0254450Z     new_features = layer(features)
2025-08-14T21:39:20.0255141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0255970Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0256349Z 
2025-08-14T21:39:20.0256553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0257248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0257891Z     return mod(*inputs)
2025-08-14T21:39:20.0258533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0259228Z     features = self.features(x)
2025-08-14T21:39:20.0259895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0260599Z     new_features = layer(features)
2025-08-14T21:39:20.0261275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0262084Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0262473Z 
2025-08-14T21:39:20.0262743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0263645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0264301Z     return mod(*inputs)
2025-08-14T21:39:20.0264942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0265666Z     features = self.features(x)
2025-08-14T21:39:20.0266475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0267190Z     new_features = layer(features)
2025-08-14T21:39:20.0267889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0268744Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0269133Z 
2025-08-14T21:39:20.0269342Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0270052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0270707Z     return mod(*inputs)
2025-08-14T21:39:20.0271361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0272074Z     features = self.features(x)
2025-08-14T21:39:20.0272762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0273485Z     new_features = layer(features)
2025-08-14T21:39:20.0274288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0275270Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0275648Z 
2025-08-14T21:39:20.0275832Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0276511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0277121Z     return mod(*inputs)
2025-08-14T21:39:20.0277743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0278425Z     features = self.features(x)
2025-08-14T21:39:20.0279066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0300084Z     new_features = layer(features)
2025-08-14T21:39:20.0300815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0301600Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0302388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0303508Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0303806Z 
2025-08-14T21:39:20.0304003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0304732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0305394Z     return mod(*inputs)
2025-08-14T21:39:20.0306039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0306767Z     features = self.features(x)
2025-08-14T21:39:20.0307460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0308170Z     new_features = layer(features)
2025-08-14T21:39:20.0308866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0309654Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0310448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0311390Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0311878Z 
2025-08-14T21:39:20.0312073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0312799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0313442Z     return mod(*inputs)
2025-08-14T21:39:20.0314327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0315040Z     features = self.features(x)
2025-08-14T21:39:20.0315810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0316490Z     new_features = layer(features)
2025-08-14T21:39:20.0317153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0317961Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0318331Z 
2025-08-14T21:39:20.0318527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0319196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0319812Z     return mod(*inputs)
2025-08-14T21:39:20.0320429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0321100Z     features = self.features(x)
2025-08-14T21:39:20.0321750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0322431Z     new_features = layer(features)
2025-08-14T21:39:20.0323151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0323937Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0324317Z 
2025-08-14T21:39:20.0324501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0325182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0325789Z     return mod(*inputs)
2025-08-14T21:39:20.0326404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0327088Z     features = self.features(x)
2025-08-14T21:39:20.0327740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0328411Z     new_features = layer(features)
2025-08-14T21:39:20.0329072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0330069Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0330444Z 
2025-08-14T21:39:20.0330633Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0331331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0331963Z     return mod(*inputs)
2025-08-14T21:39:20.0332599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0333286Z     features = self.features(x)
2025-08-14T21:39:20.0333952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0334667Z     new_features = layer(features)
2025-08-14T21:39:20.0335334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0336169Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0336560Z 
2025-08-14T21:39:20.0336752Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0337560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0338167Z     return mod(*inputs)
2025-08-14T21:39:20.0338959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0339661Z     features = self.features(x)
2025-08-14T21:39:20.0340321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0341012Z     new_features = layer(features)
2025-08-14T21:39:20.0341813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0342679Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0343664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0344432Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0344724Z 
2025-08-14T21:39:20.0344921Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0345652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0346300Z     return mod(*inputs)
2025-08-14T21:39:20.0346954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0347679Z     features = self.features(x)
2025-08-14T21:39:20.0348355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0349077Z     new_features = layer(features)
2025-08-14T21:39:20.0349777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0350631Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0351413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0352365Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0352835Z 
2025-08-14T21:39:20.0353042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0354450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0355101Z     return mod(*inputs)
2025-08-14T21:39:20.0355862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0356575Z     features = self.features(x)
2025-08-14T21:39:20.0362116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0362833Z     new_features = layer(features)
2025-08-14T21:39:20.0363516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0364345Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0364726Z 
2025-08-14T21:39:20.0364914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0365617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0366260Z     return mod(*inputs)
2025-08-14T21:39:20.0366880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0367585Z     features = self.features(x)
2025-08-14T21:39:20.0368257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0368961Z     new_features = layer(features)
2025-08-14T21:39:20.0369621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0370446Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0370823Z 
2025-08-14T21:39:20.0371024Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0371724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0372344Z     return mod(*inputs)
2025-08-14T21:39:20.0372974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0373673Z     features = self.features(x)
2025-08-14T21:39:20.0374478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0375195Z     new_features = layer(features)
2025-08-14T21:39:20.0375876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0376818Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0377187Z 
2025-08-14T21:39:20.0377374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0378057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0378671Z     return mod(*inputs)
2025-08-14T21:39:20.0379277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0379957Z     features = self.features(x)
2025-08-14T21:39:20.0380600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0381471Z     new_features = layer(features)
2025-08-14T21:39:20.0382131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0383048Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0383519Z 
2025-08-14T21:39:20.0383728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0384610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0385275Z     return mod(*inputs)
2025-08-14T21:39:20.0385937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0386665Z     features = self.features(x)
2025-08-14T21:39:20.0387339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0388069Z     new_features = layer(features)
2025-08-14T21:39:20.0388773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0389545Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0390339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0391107Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0391382Z 
2025-08-14T21:39:20.0391591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0392300Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0392956Z     return mod(*inputs)
2025-08-14T21:39:20.0393607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0394434Z     features = self.features(x)
2025-08-14T21:39:20.0395087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0395884Z     new_features = layer(features)
2025-08-14T21:39:20.0396636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0397324Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0398028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0398870Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0399293Z 
2025-08-14T21:39:20.0399479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0400114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0400696Z     return mod(*inputs)
2025-08-14T21:39:20.0401278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0401966Z     features = self.features(x)
2025-08-14T21:39:20.0402575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0403220Z     new_features = layer(features)
2025-08-14T21:39:20.0403847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0404589Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0404949Z 
2025-08-14T21:39:20.0405123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0405764Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0406348Z     return mod(*inputs)
2025-08-14T21:39:20.0406920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0407564Z     features = self.features(x)
2025-08-14T21:39:20.0408185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0408819Z     new_features = layer(features)
2025-08-14T21:39:20.0409443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0410266Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0410609Z 
2025-08-14T21:39:20.0410793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0411422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0412007Z     return mod(*inputs)
2025-08-14T21:39:20.0412588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0413221Z     features = self.features(x)
2025-08-14T21:39:20.0413839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0414486Z     new_features = layer(features)
2025-08-14T21:39:20.0415107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0415858Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0416219Z 
2025-08-14T21:39:20.0416393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0417036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0417609Z     return mod(*inputs)
2025-08-14T21:39:20.0418192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0418835Z     features = self.features(x)
2025-08-14T21:39:20.0420095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0420783Z     new_features = layer(features)
2025-08-14T21:39:20.0421454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0422265Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0422729Z 
2025-08-14T21:39:20.0423104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0423808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0424457Z     return mod(*inputs)
2025-08-14T21:39:20.0425099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0425801Z     features = self.features(x)
2025-08-14T21:39:20.0426474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0427186Z     new_features = layer(features)
2025-08-14T21:39:20.0427951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0428722Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0429501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0430257Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0430531Z 
2025-08-14T21:39:20.0430719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0431431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0432063Z     return mod(*inputs)
2025-08-14T21:39:20.0432704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0433399Z     features = self.features(x)
2025-08-14T21:39:20.0434072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0434882Z     new_features = layer(features)
2025-08-14T21:39:20.0435536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0436285Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0437108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0438108Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0438550Z 
2025-08-14T21:39:20.0438729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0439392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0440001Z     return mod(*inputs)
2025-08-14T21:39:20.0440601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0441264Z     features = self.features(x)
2025-08-14T21:39:20.0441909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0442684Z     new_features = layer(features)
2025-08-14T21:39:20.0443295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0444035Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0444384Z 
2025-08-14T21:39:20.0444553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0445183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0445743Z     return mod(*inputs)
2025-08-14T21:39:20.0446312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0446949Z     features = self.features(x)
2025-08-14T21:39:20.0447536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0448166Z     new_features = layer(features)
2025-08-14T21:39:20.0448776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0449524Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0449862Z 
2025-08-14T21:39:20.0450027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0450663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0451234Z     return mod(*inputs)
2025-08-14T21:39:20.0451796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0452424Z     features = self.features(x)
2025-08-14T21:39:20.0453024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0454433Z     new_features = layer(features)
2025-08-14T21:39:20.0455106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0456172Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0456557Z 
2025-08-14T21:39:20.0456749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0457440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0458055Z     return mod(*inputs)
2025-08-14T21:39:20.0458680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0459369Z     features = self.features(x)
2025-08-14T21:39:20.0460013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0460704Z     new_features = layer(features)
2025-08-14T21:39:20.0461371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0462176Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0462727Z 
2025-08-14T21:39:20.0463094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0463813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0464461Z     return mod(*inputs)
2025-08-14T21:39:20.0465093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0465810Z     features = self.features(x)
2025-08-14T21:39:20.0466486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0467195Z     new_features = layer(features)
2025-08-14T21:39:20.0467879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0468649Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0469434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0470180Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0470462Z 
2025-08-14T21:39:20.0470653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0471365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0472000Z     return mod(*inputs)
2025-08-14T21:39:20.0472632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0473338Z     features = self.features(x)
2025-08-14T21:39:20.0474008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0474914Z     new_features = layer(features)
2025-08-14T21:39:20.0475556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0476279Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0477022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0477894Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0478343Z 
2025-08-14T21:39:20.0478521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0479187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0479794Z     return mod(*inputs)
2025-08-14T21:39:20.0480387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0481055Z     features = self.features(x)
2025-08-14T21:39:20.0481979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0482851Z     new_features = layer(features)
2025-08-14T21:39:20.0483558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0484418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0484831Z 
2025-08-14T21:39:20.0485022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0485782Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0486436Z     return mod(*inputs)
2025-08-14T21:39:20.0487097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0487817Z     features = self.features(x)
2025-08-14T21:39:20.0488511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0489263Z     new_features = layer(features)
2025-08-14T21:39:20.0489927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0490801Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0491187Z 
2025-08-14T21:39:20.0491368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0492056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0492679Z     return mod(*inputs)
2025-08-14T21:39:20.0493293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0493977Z     features = self.features(x)
2025-08-14T21:39:20.0494634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0495311Z     new_features = layer(features)
2025-08-14T21:39:20.0495972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0496782Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0497162Z 
2025-08-14T21:39:20.0497357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0498039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0498661Z     return mod(*inputs)
2025-08-14T21:39:20.0499278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0500082Z     features = self.features(x)
2025-08-14T21:39:20.0500712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0501381Z     new_features = layer(features)
2025-08-14T21:39:20.0502020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0502874Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0503436Z 
2025-08-14T21:39:20.0503632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0504341Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0504980Z     return mod(*inputs)
2025-08-14T21:39:20.0505606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0506317Z     features = self.features(x)
2025-08-14T21:39:20.0506986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0507684Z     new_features = layer(features)
2025-08-14T21:39:20.0508364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0509204Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0509988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0510738Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0511019Z 
2025-08-14T21:39:20.0511210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0511921Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0512548Z     return mod(*inputs)
2025-08-14T21:39:20.0513189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0513900Z     features = self.features(x)
2025-08-14T21:39:20.0514669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0515574Z     new_features = layer(features)
2025-08-14T21:39:20.0516187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0516877Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0517559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0518443Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0518867Z 
2025-08-14T21:39:20.0519037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0519668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0520232Z     return mod(*inputs)
2025-08-14T21:39:20.0520802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0521428Z     features = self.features(x)
2025-08-14T21:39:20.0522034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0522655Z     new_features = layer(features)
2025-08-14T21:39:20.0523260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0524008Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0524351Z 
2025-08-14T21:39:20.0524518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0525153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0525722Z     return mod(*inputs)
2025-08-14T21:39:20.0526289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0526910Z     features = self.features(x)
2025-08-14T21:39:20.0527504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0528138Z     new_features = layer(features)
2025-08-14T21:39:20.0528734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0529483Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0529837Z 
2025-08-14T21:39:20.0530008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0530632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0531191Z     return mod(*inputs)
2025-08-14T21:39:20.0531756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0532390Z     features = self.features(x)
2025-08-14T21:39:20.0532980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0533614Z     new_features = layer(features)
2025-08-14T21:39:20.0534274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0535027Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0535368Z 
2025-08-14T21:39:20.0535533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0536164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0536734Z     return mod(*inputs)
2025-08-14T21:39:20.0537307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0537924Z     features = self.features(x)
2025-08-14T21:39:20.0538520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0539152Z     new_features = layer(features)
2025-08-14T21:39:20.0539769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0540504Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0540856Z 
2025-08-14T21:39:20.0541022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0541713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0542278Z     return mod(*inputs)
2025-08-14T21:39:20.0543085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0543779Z     features = self.features(x)
2025-08-14T21:39:20.0550068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0551881Z     new_features = layer(features)
2025-08-14T21:39:20.0554562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0556535Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0557299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0558028Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0558309Z 
2025-08-14T21:39:20.0558495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0559185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0559812Z     return mod(*inputs)
2025-08-14T21:39:20.0560430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0561125Z     features = self.features(x)
2025-08-14T21:39:20.0561782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0562465Z     new_features = layer(features)
2025-08-14T21:39:20.0563135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0563889Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0564648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0565554Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0566019Z 
2025-08-14T21:39:20.0566310Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0566978Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0567570Z     return mod(*inputs)
2025-08-14T21:39:20.0568175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0568849Z     features = self.features(x)
2025-08-14T21:39:20.0569600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0570267Z     new_features = layer(features)
2025-08-14T21:39:20.0570916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0571712Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0572076Z 
2025-08-14T21:39:20.0572263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0572919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0573522Z     return mod(*inputs)
2025-08-14T21:39:20.0574288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0574969Z     features = self.features(x)
2025-08-14T21:39:20.0575619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0576408Z     new_features = layer(features)
2025-08-14T21:39:20.0577074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0577853Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0578302Z 
2025-08-14T21:39:20.0578484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0579153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0579748Z     return mod(*inputs)
2025-08-14T21:39:20.0580359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0581031Z     features = self.features(x)
2025-08-14T21:39:20.0581667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0582328Z     new_features = layer(features)
2025-08-14T21:39:20.0583234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0584234Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0584622Z 
2025-08-14T21:39:20.0584819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0585530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0586175Z     return mod(*inputs)
2025-08-14T21:39:20.0586819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0587524Z     features = self.features(x)
2025-08-14T21:39:20.0588202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0588911Z     new_features = layer(features)
2025-08-14T21:39:20.0589589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0590428Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0590825Z 
2025-08-14T21:39:20.0591016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0591728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0592359Z     return mod(*inputs)
2025-08-14T21:39:20.0592994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0593699Z     features = self.features(x)
2025-08-14T21:39:20.0594473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0595261Z     new_features = layer(features)
2025-08-14T21:39:20.0596022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0596701Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0597443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0598114Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0598370Z 
2025-08-14T21:39:20.0598541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0599174Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0599736Z     return mod(*inputs)
2025-08-14T21:39:20.0600308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0600942Z     features = self.features(x)
2025-08-14T21:39:20.0601530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0602156Z     new_features = layer(features)
2025-08-14T21:39:20.0602766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0603443Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0604125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0605006Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0605420Z 
2025-08-14T21:39:20.0606085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0606953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0612383Z     return mod(*inputs)
2025-08-14T21:39:20.0613013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0613699Z     features = self.features(x)
2025-08-14T21:39:20.0614336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0615035Z     new_features = layer(features)
2025-08-14T21:39:20.0615699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0616511Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0616886Z 
2025-08-14T21:39:20.0617069Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0617757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0618374Z     return mod(*inputs)
2025-08-14T21:39:20.0618986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0619670Z     features = self.features(x)
2025-08-14T21:39:20.0620319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0621005Z     new_features = layer(features)
2025-08-14T21:39:20.0621663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0622471Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0622927Z 
2025-08-14T21:39:20.0623125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0623994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0624624Z     return mod(*inputs)
2025-08-14T21:39:20.0625266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0625971Z     features = self.features(x)
2025-08-14T21:39:20.0626631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0627336Z     new_features = layer(features)
2025-08-14T21:39:20.0628103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0628932Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0629316Z 
2025-08-14T21:39:20.0629506Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0630221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0630863Z     return mod(*inputs)
2025-08-14T21:39:20.0631493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0632197Z     features = self.features(x)
2025-08-14T21:39:20.0632871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0633575Z     new_features = layer(features)
2025-08-14T21:39:20.0634354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0635264Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0635622Z 
2025-08-14T21:39:20.0635806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0636459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0637114Z     return mod(*inputs)
2025-08-14T21:39:20.0637711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0638376Z     features = self.features(x)
2025-08-14T21:39:20.0638995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0639664Z     new_features = layer(features)
2025-08-14T21:39:20.0640303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0641023Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0641849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0642512Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0642753Z 
2025-08-14T21:39:20.0642933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0643552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0644119Z     return mod(*inputs)
2025-08-14T21:39:20.0644681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0645307Z     features = self.features(x)
2025-08-14T21:39:20.0645893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0646523Z     new_features = layer(features)
2025-08-14T21:39:20.0647132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0647812Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0648504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0649336Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0649753Z 
2025-08-14T21:39:20.0649936Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0650563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0651148Z     return mod(*inputs)
2025-08-14T21:39:20.0651729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0652360Z     features = self.features(x)
2025-08-14T21:39:20.0652973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0654317Z     new_features = layer(features)
2025-08-14T21:39:20.0655006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0655822Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0656216Z 
2025-08-14T21:39:20.0656405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0657110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0657748Z     return mod(*inputs)
2025-08-14T21:39:20.0658372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0659071Z     features = self.features(x)
2025-08-14T21:39:20.0659735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0660423Z     new_features = layer(features)
2025-08-14T21:39:20.0661105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0661928Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0662303Z 
2025-08-14T21:39:20.0662667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0663556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0664210Z     return mod(*inputs)
2025-08-14T21:39:20.0664867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0665577Z     features = self.features(x)
2025-08-14T21:39:20.0666263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0666989Z     new_features = layer(features)
2025-08-14T21:39:20.0667684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0668527Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0668929Z 
2025-08-14T21:39:20.0669148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0670011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0670672Z     return mod(*inputs)
2025-08-14T21:39:20.0671316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0672041Z     features = self.features(x)
2025-08-14T21:39:20.0672728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0673442Z     new_features = layer(features)
2025-08-14T21:39:20.0674141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0675107Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0675485Z 
2025-08-14T21:39:20.0675689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0676378Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0677018Z     return mod(*inputs)
2025-08-14T21:39:20.0677655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0678342Z     features = self.features(x)
2025-08-14T21:39:20.0679005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0679705Z     new_features = layer(features)
2025-08-14T21:39:20.0680380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0681126Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0681961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0682694Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0682958Z 
2025-08-14T21:39:20.0683140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0683840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0684466Z     return mod(*inputs)
2025-08-14T21:39:20.0685087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0685766Z     features = self.features(x)
2025-08-14T21:39:20.0686411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0687086Z     new_features = layer(features)
2025-08-14T21:39:20.0687733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0688574Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0689305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0690292Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0690790Z 
2025-08-14T21:39:20.0690959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0691581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0692150Z     return mod(*inputs)
2025-08-14T21:39:20.0692722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0693342Z     features = self.features(x)
2025-08-14T21:39:20.0693941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0694573Z     new_features = layer(features)
2025-08-14T21:39:20.0695181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0695925Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0696283Z 
2025-08-14T21:39:20.0696451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0697081Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0697643Z     return mod(*inputs)
2025-08-14T21:39:20.0698209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0698837Z     features = self.features(x)
2025-08-14T21:39:20.0699423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0700051Z     new_features = layer(features)
2025-08-14T21:39:20.0700659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0701403Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0701749Z 
2025-08-14T21:39:20.0701919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0702619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0703388Z     return mod(*inputs)
2025-08-14T21:39:20.0704009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0704311Z     features = self.features(x)
2025-08-14T21:39:20.0704770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0704905Z     new_features = layer(features)
2025-08-14T21:39:20.0705359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0705678Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0705695Z 
2025-08-14T21:39:20.0705888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0706289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0706413Z     return mod(*inputs)
2025-08-14T21:39:20.0706871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0706994Z     features = self.features(x)
2025-08-14T21:39:20.0707454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0707579Z     new_features = layer(features)
2025-08-14T21:39:20.0708030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0708293Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0708313Z 
2025-08-14T21:39:20.0708456Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0708604Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0708739Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0708930Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0709070Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0709206Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.0709398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0709804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0709917Z     return mod(*inputs)
2025-08-14T21:39:20.0710384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0710508Z     features = self.features(x)
2025-08-14T21:39:20.0710973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:39:20.0711106Z     return torch.cat(features, 1)
2025-08-14T21:39:20.0711121Z 
2025-08-14T21:39:20.0711312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0711714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0711839Z     return mod(*inputs)
2025-08-14T21:39:20.0712300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0712431Z     features = self.features(x)
2025-08-14T21:39:20.0712446Z 
2025-08-14T21:39:20.0712638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0713035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0713154Z     return mod(*inputs)
2025-08-14T21:39:20.0713616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0713745Z     features = self.features(x)
2025-08-14T21:39:20.0713768Z 
2025-08-14T21:39:20.0713956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0714352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0714479Z     return mod(*inputs)
2025-08-14T21:39:20.0715041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0715157Z     features = self.features(x)
2025-08-14T21:39:20.0715172Z 
2025-08-14T21:39:20.0715359Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0715734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0715848Z     return mod(*inputs)
2025-08-14T21:39:20.0716396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0716507Z     features = self.features(x)
2025-08-14T21:39:20.0716973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0717086Z     new_features = layer(features)
2025-08-14T21:39:20.0717495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0717731Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0717745Z 
2025-08-14T21:39:20.0717916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0718282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0718382Z     return mod(*inputs)
2025-08-14T21:39:20.0718787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0718909Z     features = self.features(x)
2025-08-14T21:39:20.0719315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0719430Z     new_features = layer(features)
2025-08-14T21:39:20.0719840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0721302Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0721316Z 
2025-08-14T21:39:20.0721497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0721852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0721953Z     return mod(*inputs)
2025-08-14T21:39:20.0722376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0722485Z     features = self.features(x)
2025-08-14T21:39:20.0722906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0723026Z     new_features = layer(features)
2025-08-14T21:39:20.0723429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0723666Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0723685Z 
2025-08-14T21:39:20.0723856Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0724214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0724327Z     return mod(*inputs)
2025-08-14T21:39:20.0724732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0724854Z     features = self.features(x)
2025-08-14T21:39:20.0725260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0725371Z     new_features = layer(features)
2025-08-14T21:39:20.0725791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0726016Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0726034Z 
2025-08-14T21:39:20.0726214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0726571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0726671Z     return mod(*inputs)
2025-08-14T21:39:20.0727088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0727200Z     features = self.features(x)
2025-08-14T21:39:20.0727604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0727726Z     new_features = layer(features)
2025-08-14T21:39:20.0728202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0728378Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0728803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0728941Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0728955Z 
2025-08-14T21:39:20.0729134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0729489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0729591Z     return mod(*inputs)
2025-08-14T21:39:20.0730010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0730124Z     features = self.features(x)
2025-08-14T21:39:20.0730540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0730655Z     new_features = layer(features)
2025-08-14T21:39:20.0731063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0731238Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0731952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0732665Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0732683Z 
2025-08-14T21:39:20.0732872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0733262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0733380Z     return mod(*inputs)
2025-08-14T21:39:20.0733824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0733945Z     features = self.features(x)
2025-08-14T21:39:20.0734398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0734522Z     new_features = layer(features)
2025-08-14T21:39:20.0734970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0735219Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0735235Z 
2025-08-14T21:39:20.0735421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0735817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0735926Z     return mod(*inputs)
2025-08-14T21:39:20.0736371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0736504Z     features = self.features(x)
2025-08-14T21:39:20.0736948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0737081Z     new_features = layer(features)
2025-08-14T21:39:20.0737517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0737768Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0737783Z 
2025-08-14T21:39:20.0737976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0738365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0738491Z     return mod(*inputs)
2025-08-14T21:39:20.0738934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0739053Z     features = self.features(x)
2025-08-14T21:39:20.0739514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0739699Z     new_features = layer(features)
2025-08-14T21:39:20.0740141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0740402Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0740422Z 
2025-08-14T21:39:20.0740606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0741003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0741111Z     return mod(*inputs)
2025-08-14T21:39:20.0741550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0741682Z     features = self.features(x)
2025-08-14T21:39:20.0742126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0742246Z     new_features = layer(features)
2025-08-14T21:39:20.0742781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0743212Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0743227Z 
2025-08-14T21:39:20.0743495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0743897Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0744011Z     return mod(*inputs)
2025-08-14T21:39:20.0744482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0744610Z     features = self.features(x)
2025-08-14T21:39:20.0745078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0745207Z     new_features = layer(features)
2025-08-14T21:39:20.0745662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0745867Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0746346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0746500Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0746516Z 
2025-08-14T21:39:20.0746721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0747126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0747248Z     return mod(*inputs)
2025-08-14T21:39:20.0747714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0747839Z     features = self.features(x)
2025-08-14T21:39:20.0748305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0748435Z     new_features = layer(features)
2025-08-14T21:39:20.0748893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0749090Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0749567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0749908Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0749924Z 
2025-08-14T21:39:20.0750116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0750522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0750641Z     return mod(*inputs)
2025-08-14T21:39:20.0751099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0751233Z     features = self.features(x)
2025-08-14T21:39:20.0751740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0751864Z     new_features = layer(features)
2025-08-14T21:39:20.0752327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0752583Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0752599Z 
2025-08-14T21:39:20.0752787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0753649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0753772Z     return mod(*inputs)
2025-08-14T21:39:20.0754243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0754366Z     features = self.features(x)
2025-08-14T21:39:20.0754933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0755071Z     new_features = layer(features)
2025-08-14T21:39:20.0755512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0755887Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0755903Z 
2025-08-14T21:39:20.0756089Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0756478Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0756599Z     return mod(*inputs)
2025-08-14T21:39:20.0757044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0757166Z     features = self.features(x)
2025-08-14T21:39:20.0757619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0757739Z     new_features = layer(features)
2025-08-14T21:39:20.0758192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0758436Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0758456Z 
2025-08-14T21:39:20.0758640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0759041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0759149Z     return mod(*inputs)
2025-08-14T21:39:20.0759594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0759729Z     features = self.features(x)
2025-08-14T21:39:20.0760169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0760301Z     new_features = layer(features)
2025-08-14T21:39:20.0760743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0760987Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0761001Z 
2025-08-14T21:39:20.0761198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0761589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0761706Z     return mod(*inputs)
2025-08-14T21:39:20.0762149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0762265Z     features = self.features(x)
2025-08-14T21:39:20.0762714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0762836Z     new_features = layer(features)
2025-08-14T21:39:20.0763272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0763532Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0763996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0764150Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0764169Z 
2025-08-14T21:39:20.0764356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0764744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0764861Z     return mod(*inputs)
2025-08-14T21:39:20.0765305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0765425Z     features = self.features(x)
2025-08-14T21:39:20.0765971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0766088Z     new_features = layer(features)
2025-08-14T21:39:20.0766506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0766675Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0767097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0767472Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0767486Z 
2025-08-14T21:39:20.0767658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0768024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0768127Z     return mod(*inputs)
2025-08-14T21:39:20.0768535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0768652Z     features = self.features(x)
2025-08-14T21:39:20.0769065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0769177Z     new_features = layer(features)
2025-08-14T21:39:20.0769585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0769817Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0769831Z 
2025-08-14T21:39:20.0770008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0770365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0770463Z     return mod(*inputs)
2025-08-14T21:39:20.0770877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0770988Z     features = self.features(x)
2025-08-14T21:39:20.0771391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0771515Z     new_features = layer(features)
2025-08-14T21:39:20.0771919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0772155Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0772173Z 
2025-08-14T21:39:20.0772345Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0772701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0772812Z     return mod(*inputs)
2025-08-14T21:39:20.0773223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0773345Z     features = self.features(x)
2025-08-14T21:39:20.0773747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0773862Z     new_features = layer(features)
2025-08-14T21:39:20.0774497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0774739Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0774754Z 
2025-08-14T21:39:20.0774941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0775324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0775427Z     return mod(*inputs)
2025-08-14T21:39:20.0775866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0775980Z     features = self.features(x)
2025-08-14T21:39:20.0776406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0776538Z     new_features = layer(features)
2025-08-14T21:39:20.0776961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0777203Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0777229Z 
2025-08-14T21:39:20.0777407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0777838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0777958Z     return mod(*inputs)
2025-08-14T21:39:20.0778388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0778504Z     features = self.features(x)
2025-08-14T21:39:20.0778948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0779065Z     new_features = layer(features)
2025-08-14T21:39:20.0779502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0779679Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0780125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0780277Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0780295Z 
2025-08-14T21:39:20.0780475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0780846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0780964Z     return mod(*inputs)
2025-08-14T21:39:20.0781397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0781520Z     features = self.features(x)
2025-08-14T21:39:20.0781947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0782063Z     new_features = layer(features)
2025-08-14T21:39:20.0782503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0782762Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0783391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0783737Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0783752Z 
2025-08-14T21:39:20.0801107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0801598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0801723Z     return mod(*inputs)
2025-08-14T21:39:20.0802191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0802314Z     features = self.features(x)
2025-08-14T21:39:20.0802771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0803018Z     new_features = layer(features)
2025-08-14T21:39:20.0803469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0803732Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0803749Z 
2025-08-14T21:39:20.0803940Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0804339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0804459Z     return mod(*inputs)
2025-08-14T21:39:20.0804906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0805028Z     features = self.features(x)
2025-08-14T21:39:20.0805481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0805604Z     new_features = layer(features)
2025-08-14T21:39:20.0806057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0806306Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0806384Z 
2025-08-14T21:39:20.0806573Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0806973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0807081Z     return mod(*inputs)
2025-08-14T21:39:20.0807525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0807653Z     features = self.features(x)
2025-08-14T21:39:20.0808093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0808222Z     new_features = layer(features)
2025-08-14T21:39:20.0808666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0808913Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0808928Z 
2025-08-14T21:39:20.0809122Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0809516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0809637Z     return mod(*inputs)
2025-08-14T21:39:20.0810080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0810199Z     features = self.features(x)
2025-08-14T21:39:20.0810648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0810770Z     new_features = layer(features)
2025-08-14T21:39:20.0811208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0811469Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0811484Z 
2025-08-14T21:39:20.0811668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0812060Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0812174Z     return mod(*inputs)
2025-08-14T21:39:20.0812619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0812747Z     features = self.features(x)
2025-08-14T21:39:20.0813190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0813309Z     new_features = layer(features)
2025-08-14T21:39:20.0813755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0813937Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0814456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0814604Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0814619Z 
2025-08-14T21:39:20.0814812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0815310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0815419Z     return mod(*inputs)
2025-08-14T21:39:20.0815851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0815973Z     features = self.features(x)
2025-08-14T21:39:20.0816399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0816526Z     new_features = layer(features)
2025-08-14T21:39:20.0816952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0817133Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0817586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0817958Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0817973Z 
2025-08-14T21:39:20.0818160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0818535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0818642Z     return mod(*inputs)
2025-08-14T21:39:20.0819080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0819199Z     features = self.features(x)
2025-08-14T21:39:20.0819625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0819753Z     new_features = layer(features)
2025-08-14T21:39:20.0820178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0820425Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0820444Z 
2025-08-14T21:39:20.0820623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0821190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0821310Z     return mod(*inputs)
2025-08-14T21:39:20.0821751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0821881Z     features = self.features(x)
2025-08-14T21:39:20.0822325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0822447Z     new_features = layer(features)
2025-08-14T21:39:20.0823183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0823440Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0823462Z 
2025-08-14T21:39:20.0823718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0824132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0824245Z     return mod(*inputs)
2025-08-14T21:39:20.0824712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0824839Z     features = self.features(x)
2025-08-14T21:39:20.0825297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0825434Z     new_features = layer(features)
2025-08-14T21:39:20.0825947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0826202Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0826229Z 
2025-08-14T21:39:20.0826420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0826827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0826949Z     return mod(*inputs)
2025-08-14T21:39:20.0827404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0827528Z     features = self.features(x)
2025-08-14T21:39:20.0827999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0828126Z     new_features = layer(features)
2025-08-14T21:39:20.0828586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0828843Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0828858Z 
2025-08-14T21:39:20.0829047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0829455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0829639Z     return mod(*inputs)
2025-08-14T21:39:20.0830098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0830228Z     features = self.features(x)
2025-08-14T21:39:20.0830685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0830818Z     new_features = layer(features)
2025-08-14T21:39:20.0831265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0831453Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0831937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0832087Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0832103Z 
2025-08-14T21:39:20.0832299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0832704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0832817Z     return mod(*inputs)
2025-08-14T21:39:20.0833283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0833407Z     features = self.features(x)
2025-08-14T21:39:20.0833861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0833993Z     new_features = layer(features)
2025-08-14T21:39:20.0834554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0834748Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0835208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0835534Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0835549Z 
2025-08-14T21:39:20.0835736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0836123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0836230Z     return mod(*inputs)
2025-08-14T21:39:20.0836681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0836800Z     features = self.features(x)
2025-08-14T21:39:20.0837247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0837369Z     new_features = layer(features)
2025-08-14T21:39:20.0837861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0838118Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0838139Z 
2025-08-14T21:39:20.0838324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0838719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0838827Z     return mod(*inputs)
2025-08-14T21:39:20.0839269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0839399Z     features = self.features(x)
2025-08-14T21:39:20.0839934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0840054Z     new_features = layer(features)
2025-08-14T21:39:20.0840490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0840729Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0840744Z 
2025-08-14T21:39:20.0840932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0841362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0841466Z     return mod(*inputs)
2025-08-14T21:39:20.0841904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0842019Z     features = self.features(x)
2025-08-14T21:39:20.0842446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0842570Z     new_features = layer(features)
2025-08-14T21:39:20.0842994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0843247Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0843261Z 
2025-08-14T21:39:20.0843440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0843814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0843932Z     return mod(*inputs)
2025-08-14T21:39:20.0844358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0844482Z     features = self.features(x)
2025-08-14T21:39:20.0844908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0845025Z     new_features = layer(features)
2025-08-14T21:39:20.0845454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0845691Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0845709Z 
2025-08-14T21:39:20.0845888Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0846269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0846495Z     return mod(*inputs)
2025-08-14T21:39:20.0846907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0847015Z     features = self.features(x)
2025-08-14T21:39:20.0847416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0847535Z     new_features = layer(features)
2025-08-14T21:39:20.0847935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0848100Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0848577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0848708Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0848723Z 
2025-08-14T21:39:20.0848898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0849261Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0849364Z     return mod(*inputs)
2025-08-14T21:39:20.0849781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0849890Z     features = self.features(x)
2025-08-14T21:39:20.0850303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0850418Z     new_features = layer(features)
2025-08-14T21:39:20.0850818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0850995Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0851416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0851711Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0851775Z 
2025-08-14T21:39:20.0851955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0852311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0852419Z     return mod(*inputs)
2025-08-14T21:39:20.0852823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0852934Z     features = self.features(x)
2025-08-14T21:39:20.0853931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0854061Z     new_features = layer(features)
2025-08-14T21:39:20.0854513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0854771Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0854791Z 
2025-08-14T21:39:20.0854976Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0855373Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0855482Z     return mod(*inputs)
2025-08-14T21:39:20.0855923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0856056Z     features = self.features(x)
2025-08-14T21:39:20.0856498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0856666Z     new_features = layer(features)
2025-08-14T21:39:20.0861984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0862240Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0862255Z 
2025-08-14T21:39:20.0862448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0863117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0863229Z     return mod(*inputs)
2025-08-14T21:39:20.0863697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0863821Z     features = self.features(x)
2025-08-14T21:39:20.0864281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0864405Z     new_features = layer(features)
2025-08-14T21:39:20.0864853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0865251Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0865267Z 
2025-08-14T21:39:20.0865459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0865868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0865986Z     return mod(*inputs)
2025-08-14T21:39:20.0866442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0866575Z     features = self.features(x)
2025-08-14T21:39:20.0867028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0867152Z     new_features = layer(features)
2025-08-14T21:39:20.0867613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0867865Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0867880Z 
2025-08-14T21:39:20.0868084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0868482Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0868672Z     return mod(*inputs)
2025-08-14T21:39:20.0869138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0869261Z     features = self.features(x)
2025-08-14T21:39:20.0869714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0869845Z     new_features = layer(features)
2025-08-14T21:39:20.0870297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0870492Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0870966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0871115Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0871131Z 
2025-08-14T21:39:20.0871327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0871732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0871851Z     return mod(*inputs)
2025-08-14T21:39:20.0872309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0872431Z     features = self.features(x)
2025-08-14T21:39:20.0872892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0873019Z     new_features = layer(features)
2025-08-14T21:39:20.0873473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0873668Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0874258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0874591Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0874611Z 
2025-08-14T21:39:20.0874797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0875186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0875306Z     return mod(*inputs)
2025-08-14T21:39:20.0875749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0875869Z     features = self.features(x)
2025-08-14T21:39:20.0876317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0876440Z     new_features = layer(features)
2025-08-14T21:39:20.0876952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0877201Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0877217Z 
2025-08-14T21:39:20.0877408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0877804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0877913Z     return mod(*inputs)
2025-08-14T21:39:20.0878476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0878593Z     features = self.features(x)
2025-08-14T21:39:20.0879022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0879148Z     new_features = layer(features)
2025-08-14T21:39:20.0879573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0879817Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0879831Z 
2025-08-14T21:39:20.0880020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0880452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0880566Z     return mod(*inputs)
2025-08-14T21:39:20.0880996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0881114Z     features = self.features(x)
2025-08-14T21:39:20.0881553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0881670Z     new_features = layer(features)
2025-08-14T21:39:20.0882095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0882344Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0882359Z 
2025-08-14T21:39:20.0882538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0882924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0883037Z     return mod(*inputs)
2025-08-14T21:39:20.0883468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0883597Z     features = self.features(x)
2025-08-14T21:39:20.0884024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0884152Z     new_features = layer(features)
2025-08-14T21:39:20.0884575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0884814Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0884828Z 
2025-08-14T21:39:20.0885022Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0885399Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0885502Z     return mod(*inputs)
2025-08-14T21:39:20.0885945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0886062Z     features = self.features(x)
2025-08-14T21:39:20.0886499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0886619Z     new_features = layer(features)
2025-08-14T21:39:20.0887043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0887230Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0887674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0887865Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0887891Z 
2025-08-14T21:39:20.0888072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0888449Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0888568Z     return mod(*inputs)
2025-08-14T21:39:20.0888998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0889114Z     features = self.features(x)
2025-08-14T21:39:20.0889548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0889666Z     new_features = layer(features)
2025-08-14T21:39:20.0890098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0890275Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0890722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0891043Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0891109Z 
2025-08-14T21:39:20.0891289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0891667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0891776Z     return mod(*inputs)
2025-08-14T21:39:20.0892208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0892331Z     features = self.features(x)
2025-08-14T21:39:20.0892758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0892877Z     new_features = layer(features)
2025-08-14T21:39:20.0893317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0893557Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0893571Z 
2025-08-14T21:39:20.0893754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0894131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0894233Z     return mod(*inputs)
2025-08-14T21:39:20.0894670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0894787Z     features = self.features(x)
2025-08-14T21:39:20.0895217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0895346Z     new_features = layer(features)
2025-08-14T21:39:20.0895772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0896020Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0896035Z 
2025-08-14T21:39:20.0896209Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0896594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0896702Z     return mod(*inputs)
2025-08-14T21:39:20.0897139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0897257Z     features = self.features(x)
2025-08-14T21:39:20.0897683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0897810Z     new_features = layer(features)
2025-08-14T21:39:20.0898355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0898581Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0898604Z 
2025-08-14T21:39:20.0898850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0899205Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0899315Z     return mod(*inputs)
2025-08-14T21:39:20.0899717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0899824Z     features = self.features(x)
2025-08-14T21:39:20.0900235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0900343Z     new_features = layer(features)
2025-08-14T21:39:20.0900745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0900967Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0900981Z 
2025-08-14T21:39:20.0901148Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0901512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0901610Z     return mod(*inputs)
2025-08-14T21:39:20.0902011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0902176Z     features = self.features(x)
2025-08-14T21:39:20.0902661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0902782Z     new_features = layer(features)
2025-08-14T21:39:20.0903377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0903556Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0904020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0904353Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0904369Z 
2025-08-14T21:39:20.0904556Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0904964Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0905081Z     return mod(*inputs)
2025-08-14T21:39:20.0905541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0905665Z     features = self.features(x)
2025-08-14T21:39:20.0906119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0906247Z     new_features = layer(features)
2025-08-14T21:39:20.0906696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0906886Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0907360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0907695Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0907711Z 
2025-08-14T21:39:20.0907909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0908309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0908417Z     return mod(*inputs)
2025-08-14T21:39:20.0908875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0908998Z     features = self.features(x)
2025-08-14T21:39:20.0909453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0909575Z     new_features = layer(features)
2025-08-14T21:39:20.0910028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0910343Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0910359Z 
2025-08-14T21:39:20.0910547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0910956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0911066Z     return mod(*inputs)
2025-08-14T21:39:20.0911519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0911645Z     features = self.features(x)
2025-08-14T21:39:20.0912096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0912219Z     new_features = layer(features)
2025-08-14T21:39:20.0912677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0912932Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0912948Z 
2025-08-14T21:39:20.0913141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0913538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0913724Z     return mod(*inputs)
2025-08-14T21:39:20.0914191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0914312Z     features = self.features(x)
2025-08-14T21:39:20.0914871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0914997Z     new_features = layer(features)
2025-08-14T21:39:20.0915533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0915777Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0915792Z 
2025-08-14T21:39:20.0916087Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0916440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0916550Z     return mod(*inputs)
2025-08-14T21:39:20.0916957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0917079Z     features = self.features(x)
2025-08-14T21:39:20.0917479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0917587Z     new_features = layer(features)
2025-08-14T21:39:20.0917992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0918213Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0918227Z 
2025-08-14T21:39:20.0918393Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0918757Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0918854Z     return mod(*inputs)
2025-08-14T21:39:20.0919509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0919728Z     features = self.features(x)
2025-08-14T21:39:20.0920334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0920462Z     new_features = layer(features)
2025-08-14T21:39:20.0920901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0921078Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0921540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0921679Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0921770Z 
2025-08-14T21:39:20.0921959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0922347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0922459Z     return mod(*inputs)
2025-08-14T21:39:20.0922905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0923021Z     features = self.features(x)
2025-08-14T21:39:20.0923465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0923584Z     new_features = layer(features)
2025-08-14T21:39:20.0924020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0924205Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0924666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0924991Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0925006Z 
2025-08-14T21:39:20.0925193Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0925637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0925749Z     return mod(*inputs)
2025-08-14T21:39:20.0926192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0926310Z     features = self.features(x)
2025-08-14T21:39:20.0926761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0926883Z     new_features = layer(features)
2025-08-14T21:39:20.0927318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0927572Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0927587Z 
2025-08-14T21:39:20.0927772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0928169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0928278Z     return mod(*inputs)
2025-08-14T21:39:20.0928718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0928842Z     features = self.features(x)
2025-08-14T21:39:20.0929279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0929404Z     new_features = layer(features)
2025-08-14T21:39:20.0929840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0930082Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0930101Z 
2025-08-14T21:39:20.0930290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0930673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0930784Z     return mod(*inputs)
2025-08-14T21:39:20.0931228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0931346Z     features = self.features(x)
2025-08-14T21:39:20.0931794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0931912Z     new_features = layer(features)
2025-08-14T21:39:20.0932346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0932596Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0932611Z 
2025-08-14T21:39:20.0932844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0933245Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0933351Z     return mod(*inputs)
2025-08-14T21:39:20.0933799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0933922Z     features = self.features(x)
2025-08-14T21:39:20.0934358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0934474Z     new_features = layer(features)
2025-08-14T21:39:20.0934917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0935161Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0935175Z 
2025-08-14T21:39:20.0935366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0935754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0935861Z     return mod(*inputs)
2025-08-14T21:39:20.0936309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0936482Z     features = self.features(x)
2025-08-14T21:39:20.0936920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0937050Z     new_features = layer(features)
2025-08-14T21:39:20.0937487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0937675Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0938131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0938379Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0938395Z 
2025-08-14T21:39:20.0938582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0938957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0939068Z     return mod(*inputs)
2025-08-14T21:39:20.0939605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0939717Z     features = self.features(x)
2025-08-14T21:39:20.0940123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0940232Z     new_features = layer(features)
2025-08-14T21:39:20.0940630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0940802Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0941219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0941524Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0941538Z 
2025-08-14T21:39:20.0941705Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0942064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0942166Z     return mod(*inputs)
2025-08-14T21:39:20.0942629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0942741Z     features = self.features(x)
2025-08-14T21:39:20.0943344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0943465Z     new_features = layer(features)
2025-08-14T21:39:20.0943904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0944394Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0944410Z 
2025-08-14T21:39:20.0944598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0945002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0945117Z     return mod(*inputs)
2025-08-14T21:39:20.0945580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0945702Z     features = self.features(x)
2025-08-14T21:39:20.0946154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0946285Z     new_features = layer(features)
2025-08-14T21:39:20.0946732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0946983Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0946998Z 
2025-08-14T21:39:20.0947201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0947602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0947721Z     return mod(*inputs)
2025-08-14T21:39:20.0948233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0948353Z     features = self.features(x)
2025-08-14T21:39:20.0948811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0948933Z     new_features = layer(features)
2025-08-14T21:39:20.0949383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0949641Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0949656Z 
2025-08-14T21:39:20.0949842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0950254Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0950363Z     return mod(*inputs)
2025-08-14T21:39:20.0950817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0950948Z     features = self.features(x)
2025-08-14T21:39:20.0951399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0951529Z     new_features = layer(features)
2025-08-14T21:39:20.0951978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0952226Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0952241Z 
2025-08-14T21:39:20.0952435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0952834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0952943Z     return mod(*inputs)
2025-08-14T21:39:20.0953833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0953967Z     features = self.features(x)
2025-08-14T21:39:20.0954433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0954557Z     new_features = layer(features)
2025-08-14T21:39:20.0955006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0955197Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0955669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0955814Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0955838Z 
2025-08-14T21:39:20.0956257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0956649Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0956763Z     return mod(*inputs)
2025-08-14T21:39:20.0957209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0957328Z     features = self.features(x)
2025-08-14T21:39:20.0957775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0957897Z     new_features = layer(features)
2025-08-14T21:39:20.0958340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0958519Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0958977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0959310Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0959326Z 
2025-08-14T21:39:20.0959509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0959900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0960103Z     return mod(*inputs)
2025-08-14T21:39:20.0960545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0960667Z     features = self.features(x)
2025-08-14T21:39:20.0961103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0961223Z     new_features = layer(features)
2025-08-14T21:39:20.0961659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0961903Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0961922Z 
2025-08-14T21:39:20.0962114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0962500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0962612Z     return mod(*inputs)
2025-08-14T21:39:20.0963056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0963171Z     features = self.features(x)
2025-08-14T21:39:20.0963610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0963735Z     new_features = layer(features)
2025-08-14T21:39:20.0964171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0964417Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0964432Z 
2025-08-14T21:39:20.0964616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0965001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0965116Z     return mod(*inputs)
2025-08-14T21:39:20.0965681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0965789Z     features = self.features(x)
2025-08-14T21:39:20.0966195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0966303Z     new_features = layer(features)
2025-08-14T21:39:20.0966704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0966925Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0966939Z 
2025-08-14T21:39:20.0967104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0967513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0967613Z     return mod(*inputs)
2025-08-14T21:39:20.0968021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0968133Z     features = self.features(x)
2025-08-14T21:39:20.0968534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0968648Z     new_features = layer(features)
2025-08-14T21:39:20.0969047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0969269Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0969282Z 
2025-08-14T21:39:20.0969456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0969807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0969914Z     return mod(*inputs)
2025-08-14T21:39:20.0970318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0970425Z     features = self.features(x)
2025-08-14T21:39:20.0970894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0971004Z     new_features = layer(features)
2025-08-14T21:39:20.0971403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0971575Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0971991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0972128Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0972142Z 
2025-08-14T21:39:20.0972308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0972666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0972771Z     return mod(*inputs)
2025-08-14T21:39:20.0973173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0973291Z     features = self.features(x)
2025-08-14T21:39:20.0973690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0973798Z     new_features = layer(features)
2025-08-14T21:39:20.0974378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0974555Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0974995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0975317Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0975332Z 
2025-08-14T21:39:20.0975508Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0975889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0975994Z     return mod(*inputs)
2025-08-14T21:39:20.0976419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0976542Z     features = self.features(x)
2025-08-14T21:39:20.0976964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0977080Z     new_features = layer(features)
2025-08-14T21:39:20.0977508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0977745Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0977759Z 
2025-08-14T21:39:20.0977992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0978371Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0978479Z     return mod(*inputs)
2025-08-14T21:39:20.0978913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0979029Z     features = self.features(x)
2025-08-14T21:39:20.0979460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0979575Z     new_features = layer(features)
2025-08-14T21:39:20.0979997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0980239Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0980253Z 
2025-08-14T21:39:20.0980429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0980804Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0980914Z     return mod(*inputs)
2025-08-14T21:39:20.0981341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0981510Z     features = self.features(x)
2025-08-14T21:39:20.0982292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0982483Z     new_features = layer(features)
2025-08-14T21:39:20.0983015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0983441Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0983457Z 
2025-08-14T21:39:20.0983653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0984054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0984166Z     return mod(*inputs)
2025-08-14T21:39:20.0984632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0984761Z     features = self.features(x)
2025-08-14T21:39:20.0985216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0985352Z     new_features = layer(features)
2025-08-14T21:39:20.0985802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0986061Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0986076Z 
2025-08-14T21:39:20.0986264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0986667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0986789Z     return mod(*inputs)
2025-08-14T21:39:20.0987246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0987369Z     features = self.features(x)
2025-08-14T21:39:20.0987834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0987959Z     new_features = layer(features)
2025-08-14T21:39:20.0988412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0988594Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0989069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.0989219Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.0989234Z 
2025-08-14T21:39:20.0989420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0989891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0990003Z     return mod(*inputs)
2025-08-14T21:39:20.0990460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0990596Z     features = self.features(x)
2025-08-14T21:39:20.0991048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0991176Z     new_features = layer(features)
2025-08-14T21:39:20.0991639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.0991825Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.0992305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.0992638Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.0992658Z 
2025-08-14T21:39:20.0992846Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0993251Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0993418Z     return mod(*inputs)
2025-08-14T21:39:20.0993873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0994002Z     features = self.features(x)
2025-08-14T21:39:20.0994582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0994707Z     new_features = layer(features)
2025-08-14T21:39:20.0995144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0995389Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0995404Z 
2025-08-14T21:39:20.0995601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0995989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0996099Z     return mod(*inputs)
2025-08-14T21:39:20.0996546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0996666Z     features = self.features(x)
2025-08-14T21:39:20.0997114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0997233Z     new_features = layer(features)
2025-08-14T21:39:20.0997671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.0997921Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.0997936Z 
2025-08-14T21:39:20.0998119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.0998516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.0998626Z     return mod(*inputs)
2025-08-14T21:39:20.0999067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.0999194Z     features = self.features(x)
2025-08-14T21:39:20.0999636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.0999754Z     new_features = layer(features)
2025-08-14T21:39:20.1000198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1000550Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1000564Z 
2025-08-14T21:39:20.1000746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1001120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1001288Z     return mod(*inputs)
2025-08-14T21:39:20.1001718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1001837Z     features = self.features(x)
2025-08-14T21:39:20.1002268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1002505Z     new_features = layer(features)
2025-08-14T21:39:20.1002907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1003128Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1003142Z 
2025-08-14T21:39:20.1003308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1003665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1003763Z     return mod(*inputs)
2025-08-14T21:39:20.1004173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1004282Z     features = self.features(x)
2025-08-14T21:39:20.1004682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1004859Z     new_features = layer(features)
2025-08-14T21:39:20.1005261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1005423Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1005848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1005976Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1005989Z 
2025-08-14T21:39:20.1006161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1006518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1006614Z     return mod(*inputs)
2025-08-14T21:39:20.1007019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1007130Z     features = self.features(x)
2025-08-14T21:39:20.1007527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1007643Z     new_features = layer(features)
2025-08-14T21:39:20.1008042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1008207Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1008625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1008917Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1008931Z 
2025-08-14T21:39:20.1009106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1009464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1009570Z     return mod(*inputs)
2025-08-14T21:39:20.1009974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1010082Z     features = self.features(x)
2025-08-14T21:39:20.1010490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1010598Z     new_features = layer(features)
2025-08-14T21:39:20.1010998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1011228Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1011242Z 
2025-08-14T21:39:20.1011408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1011818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1011917Z     return mod(*inputs)
2025-08-14T21:39:20.1012317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1012437Z     features = self.features(x)
2025-08-14T21:39:20.1012835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1012945Z     new_features = layer(features)
2025-08-14T21:39:20.1013347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1013567Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1013581Z 
2025-08-14T21:39:20.1013754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1014110Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1014207Z     return mod(*inputs)
2025-08-14T21:39:20.1014615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1014771Z     features = self.features(x)
2025-08-14T21:39:20.1015181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1015292Z     new_features = layer(features)
2025-08-14T21:39:20.1015690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1015916Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1015930Z 
2025-08-14T21:39:20.1016094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1016446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1016553Z     return mod(*inputs)
2025-08-14T21:39:20.1016955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1017070Z     features = self.features(x)
2025-08-14T21:39:20.1017473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1017584Z     new_features = layer(features)
2025-08-14T21:39:20.1017988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1018208Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1018222Z 
2025-08-14T21:39:20.1018391Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1018744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1018841Z     return mod(*inputs)
2025-08-14T21:39:20.1019252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1019362Z     features = self.features(x)
2025-08-14T21:39:20.1019762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1019879Z     new_features = layer(features)
2025-08-14T21:39:20.1020275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1020444Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1020860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1020988Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1021002Z 
2025-08-14T21:39:20.1021172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1021526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1021672Z     return mod(*inputs)
2025-08-14T21:39:20.1022082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1022195Z     features = self.features(x)
2025-08-14T21:39:20.1022686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1022798Z     new_features = layer(features)
2025-08-14T21:39:20.1023392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1023579Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1024033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1024546Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1024562Z 
2025-08-14T21:39:20.1024756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1025156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1025274Z     return mod(*inputs)
2025-08-14T21:39:20.1025794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1025914Z     features = self.features(x)
2025-08-14T21:39:20.1026372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1026494Z     new_features = layer(features)
2025-08-14T21:39:20.1026954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1027208Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1027224Z 
2025-08-14T21:39:20.1027412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1027823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1027934Z     return mod(*inputs)
2025-08-14T21:39:20.1028390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1028525Z     features = self.features(x)
2025-08-14T21:39:20.1028977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1029109Z     new_features = layer(features)
2025-08-14T21:39:20.1029560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1029810Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1029825Z 
2025-08-14T21:39:20.1030030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1030431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1030547Z     return mod(*inputs)
2025-08-14T21:39:20.1031001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1031126Z     features = self.features(x)
2025-08-14T21:39:20.1031584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1031706Z     new_features = layer(features)
2025-08-14T21:39:20.1032154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1032418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1032434Z 
2025-08-14T21:39:20.1032620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1033025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1033134Z     return mod(*inputs)
2025-08-14T21:39:20.1033638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1033771Z     features = self.features(x)
2025-08-14T21:39:20.1034231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1034358Z     new_features = layer(features)
2025-08-14T21:39:20.1034925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1035166Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1035180Z 
2025-08-14T21:39:20.1035478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1035976Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1036073Z     return mod(*inputs)
2025-08-14T21:39:20.1036485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1036593Z     features = self.features(x)
2025-08-14T21:39:20.1036998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1037158Z     new_features = layer(features)
2025-08-14T21:39:20.1037556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1037726Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1038144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1038276Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1038290Z 
2025-08-14T21:39:20.1038465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1038822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1038932Z     return mod(*inputs)
2025-08-14T21:39:20.1039334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1039441Z     features = self.features(x)
2025-08-14T21:39:20.1039854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1039965Z     new_features = layer(features)
2025-08-14T21:39:20.1040362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1040534Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1040952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1041250Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1041263Z 
2025-08-14T21:39:20.1041436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1041789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1041893Z     return mod(*inputs)
2025-08-14T21:39:20.1042295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1042414Z     features = self.features(x)
2025-08-14T21:39:20.1042817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1042928Z     new_features = layer(features)
2025-08-14T21:39:20.1043335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1043558Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1043572Z 
2025-08-14T21:39:20.1043739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1044392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1044504Z     return mod(*inputs)
2025-08-14T21:39:20.1050080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1050205Z     features = self.features(x)
2025-08-14T21:39:20.1050646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1050773Z     new_features = layer(features)
2025-08-14T21:39:20.1051206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1051460Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1051475Z 
2025-08-14T21:39:20.1051658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1052043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1052164Z     return mod(*inputs)
2025-08-14T21:39:20.1052607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1052725Z     features = self.features(x)
2025-08-14T21:39:20.1053657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1053784Z     new_features = layer(features)
2025-08-14T21:39:20.1054230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1054476Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1054491Z 
2025-08-14T21:39:20.1054674Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1055067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1055173Z     return mod(*inputs)
2025-08-14T21:39:20.1055619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1055744Z     features = self.features(x)
2025-08-14T21:39:20.1056181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1056310Z     new_features = layer(features)
2025-08-14T21:39:20.1056746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1056987Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1057002Z 
2025-08-14T21:39:20.1057192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1057576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1057686Z     return mod(*inputs)
2025-08-14T21:39:20.1058131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1058248Z     features = self.features(x)
2025-08-14T21:39:20.1058690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1058813Z     new_features = layer(features)
2025-08-14T21:39:20.1059248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1059433Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1059889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1060037Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1060052Z 
2025-08-14T21:39:20.1060234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1060620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1060734Z     return mod(*inputs)
2025-08-14T21:39:20.1061287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1061407Z     features = self.features(x)
2025-08-14T21:39:20.1061856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1061982Z     new_features = layer(features)
2025-08-14T21:39:20.1062423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1062714Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1063360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1063701Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1063716Z 
2025-08-14T21:39:20.1063905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1064316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1064426Z     return mod(*inputs)
2025-08-14T21:39:20.1064884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1065095Z     features = self.features(x)
2025-08-14T21:39:20.1065549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1065671Z     new_features = layer(features)
2025-08-14T21:39:20.1066127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1066380Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1066396Z 
2025-08-14T21:39:20.1066591Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1066996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1067106Z     return mod(*inputs)
2025-08-14T21:39:20.1067570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1067697Z     features = self.features(x)
2025-08-14T21:39:20.1068151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1068282Z     new_features = layer(features)
2025-08-14T21:39:20.1068729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1068987Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1069002Z 
2025-08-14T21:39:20.1069190Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1069589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1069705Z     return mod(*inputs)
2025-08-14T21:39:20.1070165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1070291Z     features = self.features(x)
2025-08-14T21:39:20.1070746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1070868Z     new_features = layer(features)
2025-08-14T21:39:20.1071320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1071574Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1071589Z 
2025-08-14T21:39:20.1071775Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1072179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1072285Z     return mod(*inputs)
2025-08-14T21:39:20.1072799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1072921Z     features = self.features(x)
2025-08-14T21:39:20.1073372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1073506Z     new_features = layer(features)
2025-08-14T21:39:20.1073953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1074316Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1074331Z 
2025-08-14T21:39:20.1074510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1074993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1075099Z     return mod(*inputs)
2025-08-14T21:39:20.1075526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1075644Z     features = self.features(x)
2025-08-14T21:39:20.1076078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1076195Z     new_features = layer(features)
2025-08-14T21:39:20.1076675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1076848Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1077290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1077439Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1077454Z 
2025-08-14T21:39:20.1077629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1078003Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1078108Z     return mod(*inputs)
2025-08-14T21:39:20.1078536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1078653Z     features = self.features(x)
2025-08-14T21:39:20.1079078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1079199Z     new_features = layer(features)
2025-08-14T21:39:20.1079630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1079804Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1080253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1080564Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1080579Z 
2025-08-14T21:39:20.1080754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1081136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1081238Z     return mod(*inputs)
2025-08-14T21:39:20.1081666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1081790Z     features = self.features(x)
2025-08-14T21:39:20.1082215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1082337Z     new_features = layer(features)
2025-08-14T21:39:20.1082759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1082994Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1083009Z 
2025-08-14T21:39:20.1083192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1083567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1083751Z     return mod(*inputs)
2025-08-14T21:39:20.1084186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1084298Z     features = self.features(x)
2025-08-14T21:39:20.1084736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1084851Z     new_features = layer(features)
2025-08-14T21:39:20.1085275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1085517Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1085531Z 
2025-08-14T21:39:20.1085707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1086085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1086191Z     return mod(*inputs)
2025-08-14T21:39:20.1086626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1086749Z     features = self.features(x)
2025-08-14T21:39:20.1087178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1087344Z     new_features = layer(features)
2025-08-14T21:39:20.1087776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1088013Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1088027Z 
2025-08-14T21:39:20.1088210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1088586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1088687Z     return mod(*inputs)
2025-08-14T21:39:20.1089128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1089242Z     features = self.features(x)
2025-08-14T21:39:20.1089665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1089790Z     new_features = layer(features)
2025-08-14T21:39:20.1090213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1090455Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1090469Z 
2025-08-14T21:39:20.1090644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1091126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1091231Z     return mod(*inputs)
2025-08-14T21:39:20.1091633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1091748Z     features = self.features(x)
2025-08-14T21:39:20.1092154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1092262Z     new_features = layer(features)
2025-08-14T21:39:20.1092671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1092835Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1093251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1093386Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1093400Z 
2025-08-14T21:39:20.1093566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1093925Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1094022Z     return mod(*inputs)
2025-08-14T21:39:20.1094484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1094601Z     features = self.features(x)
2025-08-14T21:39:20.1095001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1095113Z     new_features = layer(features)
2025-08-14T21:39:20.1095519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1095682Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1096106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1096398Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1096412Z 
2025-08-14T21:39:20.1096580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1096941Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1097038Z     return mod(*inputs)
2025-08-14T21:39:20.1097450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1097610Z     features = self.features(x)
2025-08-14T21:39:20.1098010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1098127Z     new_features = layer(features)
2025-08-14T21:39:20.1098526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1098749Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1098768Z 
2025-08-14T21:39:20.1098933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1099284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1099385Z     return mod(*inputs)
2025-08-14T21:39:20.1099793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1099900Z     features = self.features(x)
2025-08-14T21:39:20.1100311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1100419Z     new_features = layer(features)
2025-08-14T21:39:20.1100824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1101046Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1101059Z 
2025-08-14T21:39:20.1101224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1101584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1101680Z     return mod(*inputs)
2025-08-14T21:39:20.1102086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1102367Z     features = self.features(x)
2025-08-14T21:39:20.1102906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1103204Z     new_features = layer(features)
2025-08-14T21:39:20.1103646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1104682Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1105076Z 
2025-08-14T21:39:20.1105269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1105990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1106911Z     return mod(*inputs)
2025-08-14T21:39:20.1108073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1109041Z     features = self.features(x)
2025-08-14T21:39:20.1109850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1110566Z     new_features = layer(features)
2025-08-14T21:39:20.1111262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1112131Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1112538Z 
2025-08-14T21:39:20.1112731Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1113437Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1114076Z     return mod(*inputs)
2025-08-14T21:39:20.1114715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1115412Z     features = self.features(x)
2025-08-14T21:39:20.1116186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1116867Z     new_features = layer(features)
2025-08-14T21:39:20.1117521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1118328Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1119081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1119804Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1120064Z 
2025-08-14T21:39:20.1120246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1120934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1121557Z     return mod(*inputs)
2025-08-14T21:39:20.1122180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1123014Z     features = self.features(x)
2025-08-14T21:39:20.1123667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1124400Z     new_features = layer(features)
2025-08-14T21:39:20.1125289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1126029Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1126780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1127681Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1128136Z 
2025-08-14T21:39:20.1128316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1128998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1129619Z     return mod(*inputs)
2025-08-14T21:39:20.1130229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1130916Z     features = self.features(x)
2025-08-14T21:39:20.1131560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1132237Z     new_features = layer(features)
2025-08-14T21:39:20.1132893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1133706Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1134078Z 
2025-08-14T21:39:20.1134267Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1134953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1135565Z     return mod(*inputs)
2025-08-14T21:39:20.1136251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1137079Z     features = self.features(x)
2025-08-14T21:39:20.1137726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1138418Z     new_features = layer(features)
2025-08-14T21:39:20.1139221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1140031Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1140401Z 
2025-08-14T21:39:20.1140586Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1141271Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1141887Z     return mod(*inputs)
2025-08-14T21:39:20.1142502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1143441Z     features = self.features(x)
2025-08-14T21:39:20.1144113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1144892Z     new_features = layer(features)
2025-08-14T21:39:20.1145566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1146395Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1146778Z 
2025-08-14T21:39:20.1146974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1147673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1148312Z     return mod(*inputs)
2025-08-14T21:39:20.1148943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1149650Z     features = self.features(x)
2025-08-14T21:39:20.1150308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1151012Z     new_features = layer(features)
2025-08-14T21:39:20.1151693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1152524Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1152905Z 
2025-08-14T21:39:20.1153093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1154218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1154862Z     return mod(*inputs)
2025-08-14T21:39:20.1155497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1156308Z     features = self.features(x)
2025-08-14T21:39:20.1156965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1157654Z     new_features = layer(features)
2025-08-14T21:39:20.1158308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1159057Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1159808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1160526Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1160796Z 
2025-08-14T21:39:20.1160978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1161655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1162272Z     return mod(*inputs)
2025-08-14T21:39:20.1162880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1163681Z     features = self.features(x)
2025-08-14T21:39:20.1164337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1165021Z     new_features = layer(features)
2025-08-14T21:39:20.1165791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1166467Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1167162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1167980Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1168401Z 
2025-08-14T21:39:20.1168570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1169692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1170328Z     return mod(*inputs)
2025-08-14T21:39:20.1170942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1171626Z     features = self.features(x)
2025-08-14T21:39:20.1172382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1173059Z     new_features = layer(features)
2025-08-14T21:39:20.1173720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1174528Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1174902Z 
2025-08-14T21:39:20.1175091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1175767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1176379Z     return mod(*inputs)
2025-08-14T21:39:20.1176998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1177680Z     features = self.features(x)
2025-08-14T21:39:20.1178326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1179015Z     new_features = layer(features)
2025-08-14T21:39:20.1179673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1180470Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1180847Z 
2025-08-14T21:39:20.1181030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1181713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1182332Z     return mod(*inputs)
2025-08-14T21:39:20.1183211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1183922Z     features = self.features(x)
2025-08-14T21:39:20.1184587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1185289Z     new_features = layer(features)
2025-08-14T21:39:20.1185971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1186801Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1187185Z 
2025-08-14T21:39:20.1187379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1188077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1188709Z     return mod(*inputs)
2025-08-14T21:39:20.1189346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1190044Z     features = self.features(x)
2025-08-14T21:39:20.1190777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1191484Z     new_features = layer(features)
2025-08-14T21:39:20.1192162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1192989Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1193377Z 
2025-08-14T21:39:20.1193519Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1193910Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1194391Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1194982Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1195315Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1195640Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1196018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1196651Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1197216Z     return mod(*inputs)
2025-08-14T21:39:20.1197777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1198454Z     features = self.features(x)
2025-08-14T21:39:20.1199048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:39:20.1199670Z     return torch.cat(features, 1)
2025-08-14T21:39:20.1199884Z 
2025-08-14T21:39:20.1200049Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1200674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1201245Z     return mod(*inputs)
2025-08-14T21:39:20.1201810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1202436Z     features = self.features(x)
2025-08-14T21:39:20.1202640Z 
2025-08-14T21:39:20.1202814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1203442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1204002Z     return mod(*inputs)
2025-08-14T21:39:20.1204569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1205198Z     features = self.features(x)
2025-08-14T21:39:20.1205395Z 
2025-08-14T21:39:20.1205563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1206187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1206755Z     return mod(*inputs)
2025-08-14T21:39:20.1207328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1207954Z     features = self.features(x)
2025-08-14T21:39:20.1208165Z 
2025-08-14T21:39:20.1208340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1208972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1209532Z     return mod(*inputs)
2025-08-14T21:39:20.1210104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1210727Z     features = self.features(x)
2025-08-14T21:39:20.1211316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1211934Z     new_features = layer(features)
2025-08-14T21:39:20.1212540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1213280Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1213622Z 
2025-08-14T21:39:20.1213787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1214470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1215039Z     return mod(*inputs)
2025-08-14T21:39:20.1215609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1216241Z     features = self.features(x)
2025-08-14T21:39:20.1216841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1217468Z     new_features = layer(features)
2025-08-14T21:39:20.1218067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1218810Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1219157Z 
2025-08-14T21:39:20.1219325Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1230526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1231266Z     return mod(*inputs)
2025-08-14T21:39:20.1236774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1238771Z     features = self.features(x)
2025-08-14T21:39:20.1240499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1242310Z     new_features = layer(features)
2025-08-14T21:39:20.1244063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1245301Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1245675Z 
2025-08-14T21:39:20.1245860Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1246546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1247166Z     return mod(*inputs)
2025-08-14T21:39:20.1247784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1248470Z     features = self.features(x)
2025-08-14T21:39:20.1249127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1249809Z     new_features = layer(features)
2025-08-14T21:39:20.1250567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1251453Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1251793Z 
2025-08-14T21:39:20.1251969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1252599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1253500Z     return mod(*inputs)
2025-08-14T21:39:20.1254375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1255066Z     features = self.features(x)
2025-08-14T21:39:20.1255713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1256405Z     new_features = layer(features)
2025-08-14T21:39:20.1257064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1257806Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1258557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1259288Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1259553Z 
2025-08-14T21:39:20.1259743Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1260425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1261165Z     return mod(*inputs)
2025-08-14T21:39:20.1261788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1262474Z     features = self.features(x)
2025-08-14T21:39:20.1263428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1264134Z     new_features = layer(features)
2025-08-14T21:39:20.1264813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1265572Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1266352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1267286Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1267754Z 
2025-08-14T21:39:20.1267953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1268650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1269287Z     return mod(*inputs)
2025-08-14T21:39:20.1270313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1271011Z     features = self.features(x)
2025-08-14T21:39:20.1271686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1272391Z     new_features = layer(features)
2025-08-14T21:39:20.1273074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1273903Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1274400Z 
2025-08-14T21:39:20.1274692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1275359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1275962Z     return mod(*inputs)
2025-08-14T21:39:20.1276551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1277222Z     features = self.features(x)
2025-08-14T21:39:20.1277851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1278509Z     new_features = layer(features)
2025-08-14T21:39:20.1279150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1279930Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1280288Z 
2025-08-14T21:39:20.1280470Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1281125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1281726Z     return mod(*inputs)
2025-08-14T21:39:20.1282322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1282975Z     features = self.features(x)
2025-08-14T21:39:20.1283607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1284268Z     new_features = layer(features)
2025-08-14T21:39:20.1284909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1285797Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1286145Z 
2025-08-14T21:39:20.1286314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1286936Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1287503Z     return mod(*inputs)
2025-08-14T21:39:20.1288119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1288744Z     features = self.features(x)
2025-08-14T21:39:20.1289336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1289962Z     new_features = layer(features)
2025-08-14T21:39:20.1290568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1291302Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1291638Z 
2025-08-14T21:39:20.1291810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1292426Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1292988Z     return mod(*inputs)
2025-08-14T21:39:20.1293552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1294677Z     features = self.features(x)
2025-08-14T21:39:20.1295328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1296092Z     new_features = layer(features)
2025-08-14T21:39:20.1296751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1297482Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1298233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1298959Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1299220Z 
2025-08-14T21:39:20.1299402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1300085Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1300704Z     return mod(*inputs)
2025-08-14T21:39:20.1301328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1302005Z     features = self.features(x)
2025-08-14T21:39:20.1302747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1303621Z     new_features = layer(features)
2025-08-14T21:39:20.1304292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1305052Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1305825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1306749Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1307216Z 
2025-08-14T21:39:20.1307404Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1308108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1308738Z     return mod(*inputs)
2025-08-14T21:39:20.1309367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1310071Z     features = self.features(x)
2025-08-14T21:39:20.1310732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1311433Z     new_features = layer(features)
2025-08-14T21:39:20.1312101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1312932Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1313321Z 
2025-08-14T21:39:20.1313509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1314385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1315093Z     return mod(*inputs)
2025-08-14T21:39:20.1315690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1316359Z     features = self.features(x)
2025-08-14T21:39:20.1316976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1317640Z     new_features = layer(features)
2025-08-14T21:39:20.1318276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1319055Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1319416Z 
2025-08-14T21:39:20.1319595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1320256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1320852Z     return mod(*inputs)
2025-08-14T21:39:20.1321566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1322186Z     features = self.features(x)
2025-08-14T21:39:20.1322833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1323458Z     new_features = layer(features)
2025-08-14T21:39:20.1324059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1324797Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1325142Z 
2025-08-14T21:39:20.1325309Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1325929Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1326487Z     return mod(*inputs)
2025-08-14T21:39:20.1327053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1327681Z     features = self.features(x)
2025-08-14T21:39:20.1328269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1328903Z     new_features = layer(features)
2025-08-14T21:39:20.1329502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1330412Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1330774Z 
2025-08-14T21:39:20.1330951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1331613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1332208Z     return mod(*inputs)
2025-08-14T21:39:20.1332798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1333464Z     features = self.features(x)
2025-08-14T21:39:20.1334093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1334755Z     new_features = layer(features)
2025-08-14T21:39:20.1335389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1336107Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1336840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1337538Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1337790Z 
2025-08-14T21:39:20.1337968Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1338629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1339229Z     return mod(*inputs)
2025-08-14T21:39:20.1339873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1340538Z     features = self.features(x)
2025-08-14T21:39:20.1341167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1341834Z     new_features = layer(features)
2025-08-14T21:39:20.1342467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1343434Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1344367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1345293Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1345769Z 
2025-08-14T21:39:20.1345956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1346662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1347294Z     return mod(*inputs)
2025-08-14T21:39:20.1347930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1348698Z     features = self.features(x)
2025-08-14T21:39:20.1349357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1350060Z     new_features = layer(features)
2025-08-14T21:39:20.1350739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1351566Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1351955Z 
2025-08-14T21:39:20.1352141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1352838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1353902Z     return mod(*inputs)
2025-08-14T21:39:20.1354537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1355240Z     features = self.features(x)
2025-08-14T21:39:20.1355912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1356759Z     new_features = layer(features)
2025-08-14T21:39:20.1357511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1358317Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1358690Z 
2025-08-14T21:39:20.1358877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1359551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1360167Z     return mod(*inputs)
2025-08-14T21:39:20.1360785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1361468Z     features = self.features(x)
2025-08-14T21:39:20.1362108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1362797Z     new_features = layer(features)
2025-08-14T21:39:20.1363455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1364252Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1364628Z 
2025-08-14T21:39:20.1364810Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1365489Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1366100Z     return mod(*inputs)
2025-08-14T21:39:20.1366822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1367507Z     features = self.features(x)
2025-08-14T21:39:20.1368155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1368835Z     new_features = layer(features)
2025-08-14T21:39:20.1369493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1370300Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1370670Z 
2025-08-14T21:39:20.1370857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1371536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1372146Z     return mod(*inputs)
2025-08-14T21:39:20.1372762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1373441Z     features = self.features(x)
2025-08-14T21:39:20.1374096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1374777Z     new_features = layer(features)
2025-08-14T21:39:20.1375507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1376238Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1376987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1377802Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1378053Z 
2025-08-14T21:39:20.1378234Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1378888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1379483Z     return mod(*inputs)
2025-08-14T21:39:20.1380085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1380736Z     features = self.features(x)
2025-08-14T21:39:20.1381358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1382021Z     new_features = layer(features)
2025-08-14T21:39:20.1382721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1383614Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1384554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1385483Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1385951Z 
2025-08-14T21:39:20.1386137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1386847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1387485Z     return mod(*inputs)
2025-08-14T21:39:20.1388118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1388816Z     features = self.features(x)
2025-08-14T21:39:20.1389481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1390181Z     new_features = layer(features)
2025-08-14T21:39:20.1390853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1391686Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1392073Z 
2025-08-14T21:39:20.1392261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1392962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1393668Z     return mod(*inputs)
2025-08-14T21:39:20.1394418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1395103Z     features = self.features(x)
2025-08-14T21:39:20.1395757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1396438Z     new_features = layer(features)
2025-08-14T21:39:20.1397096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1397900Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1398271Z 
2025-08-14T21:39:20.1398560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1399225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1399918Z     return mod(*inputs)
2025-08-14T21:39:20.1400483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1401107Z     features = self.features(x)
2025-08-14T21:39:20.1401703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1402379Z     new_features = layer(features)
2025-08-14T21:39:20.1402971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1403708Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1404052Z 
2025-08-14T21:39:20.1404217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1404836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1405391Z     return mod(*inputs)
2025-08-14T21:39:20.1405956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1406589Z     features = self.features(x)
2025-08-14T21:39:20.1407174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1407805Z     new_features = layer(features)
2025-08-14T21:39:20.1408404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1409137Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1409473Z 
2025-08-14T21:39:20.1409639Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1410259Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1410819Z     return mod(*inputs)
2025-08-14T21:39:20.1411379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1411996Z     features = self.features(x)
2025-08-14T21:39:20.1412587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1413208Z     new_features = layer(features)
2025-08-14T21:39:20.1413805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1414485Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1415170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1415829Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1416068Z 
2025-08-14T21:39:20.1416236Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1416859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1417423Z     return mod(*inputs)
2025-08-14T21:39:20.1418038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1418663Z     features = self.features(x)
2025-08-14T21:39:20.1429580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1430302Z     new_features = layer(features)
2025-08-14T21:39:20.1430976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1431741Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1432511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1433434Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1433906Z 
2025-08-14T21:39:20.1434094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1434887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1435508Z     return mod(*inputs)
2025-08-14T21:39:20.1436113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1436979Z     features = self.features(x)
2025-08-14T21:39:20.1437701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1438324Z     new_features = layer(features)
2025-08-14T21:39:20.1438926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1439662Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1440002Z 
2025-08-14T21:39:20.1440172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1440791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1441355Z     return mod(*inputs)
2025-08-14T21:39:20.1441921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1442545Z     features = self.features(x)
2025-08-14T21:39:20.1443128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1443757Z     new_features = layer(features)
2025-08-14T21:39:20.1444355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1445084Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1445428Z 
2025-08-14T21:39:20.1445595Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1446216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1446778Z     return mod(*inputs)
2025-08-14T21:39:20.1447338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1447960Z     features = self.features(x)
2025-08-14T21:39:20.1448545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1449167Z     new_features = layer(features)
2025-08-14T21:39:20.1449767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1450499Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1450836Z 
2025-08-14T21:39:20.1451007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1451625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1452186Z     return mod(*inputs)
2025-08-14T21:39:20.1452750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1454027Z     features = self.features(x)
2025-08-14T21:39:20.1454677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1455359Z     new_features = layer(features)
2025-08-14T21:39:20.1456022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1456821Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1457197Z 
2025-08-14T21:39:20.1457379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1458059Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1458676Z     return mod(*inputs)
2025-08-14T21:39:20.1459289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1459970Z     features = self.features(x)
2025-08-14T21:39:20.1460624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1461303Z     new_features = layer(features)
2025-08-14T21:39:20.1461966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1463074Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1463851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1464590Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1464868Z 
2025-08-14T21:39:20.1465055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1465763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1466398Z     return mod(*inputs)
2025-08-14T21:39:20.1467026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1467734Z     features = self.features(x)
2025-08-14T21:39:20.1468404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1469106Z     new_features = layer(features)
2025-08-14T21:39:20.1469784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1470549Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1471323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1471654Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1471671Z 
2025-08-14T21:39:20.1471857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1472264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1472379Z     return mod(*inputs)
2025-08-14T21:39:20.1472837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1472964Z     features = self.features(x)
2025-08-14T21:39:20.1473425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1473555Z     new_features = layer(features)
2025-08-14T21:39:20.1474009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1474364Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1474379Z 
2025-08-14T21:39:20.1474562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1474938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1475044Z     return mod(*inputs)
2025-08-14T21:39:20.1475529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1475644Z     features = self.features(x)
2025-08-14T21:39:20.1476075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1476198Z     new_features = layer(features)
2025-08-14T21:39:20.1476620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1476863Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1476878Z 
2025-08-14T21:39:20.1477053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1477431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1477533Z     return mod(*inputs)
2025-08-14T21:39:20.1477971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1478090Z     features = self.features(x)
2025-08-14T21:39:20.1478516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1478730Z     new_features = layer(features)
2025-08-14T21:39:20.1479156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1479397Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1479412Z 
2025-08-14T21:39:20.1479588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1479962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1480068Z     return mod(*inputs)
2025-08-14T21:39:20.1480497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1480609Z     features = self.features(x)
2025-08-14T21:39:20.1481045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1481163Z     new_features = layer(features)
2025-08-14T21:39:20.1481816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1482170Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1482185Z 
2025-08-14T21:39:20.1482430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1482824Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1482934Z     return mod(*inputs)
2025-08-14T21:39:20.1483386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1483504Z     features = self.features(x)
2025-08-14T21:39:20.1483946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1484072Z     new_features = layer(features)
2025-08-14T21:39:20.1484509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1484692Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1485155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1485298Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1485313Z 
2025-08-14T21:39:20.1485501Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1485886Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1485990Z     return mod(*inputs)
2025-08-14T21:39:20.1486435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1486692Z     features = self.features(x)
2025-08-14T21:39:20.1487139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1487264Z     new_features = layer(features)
2025-08-14T21:39:20.1487706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1487892Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1488347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1488667Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1488682Z 
2025-08-14T21:39:20.1488871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1489256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1489368Z     return mod(*inputs)
2025-08-14T21:39:20.1489814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1489931Z     features = self.features(x)
2025-08-14T21:39:20.1490373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1490547Z     new_features = layer(features)
2025-08-14T21:39:20.1490986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1491235Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1491251Z 
2025-08-14T21:39:20.1491432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1491822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1491929Z     return mod(*inputs)
2025-08-14T21:39:20.1492377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1492501Z     features = self.features(x)
2025-08-14T21:39:20.1492937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1493060Z     new_features = layer(features)
2025-08-14T21:39:20.1493499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1493744Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1493759Z 
2025-08-14T21:39:20.1493944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1494326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1494432Z     return mod(*inputs)
2025-08-14T21:39:20.1494875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1494996Z     features = self.features(x)
2025-08-14T21:39:20.1495438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1495555Z     new_features = layer(features)
2025-08-14T21:39:20.1495995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1496245Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1496260Z 
2025-08-14T21:39:20.1496440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1496823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1496932Z     return mod(*inputs)
2025-08-14T21:39:20.1497372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1497494Z     features = self.features(x)
2025-08-14T21:39:20.1497987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1498107Z     new_features = layer(features)
2025-08-14T21:39:20.1498550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1498796Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1498812Z 
2025-08-14T21:39:20.1498997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1499381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1499486Z     return mod(*inputs)
2025-08-14T21:39:20.1499931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1500047Z     features = self.features(x)
2025-08-14T21:39:20.1500489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1500613Z     new_features = layer(features)
2025-08-14T21:39:20.1501151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1501382Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1501823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1501958Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1501973Z 
2025-08-14T21:39:20.1502155Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1502592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1502702Z     return mod(*inputs)
2025-08-14T21:39:20.1503316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1503435Z     features = self.features(x)
2025-08-14T21:39:20.1503898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1504020Z     new_features = layer(features)
2025-08-14T21:39:20.1504473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1504664Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1505132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1505463Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1505485Z 
2025-08-14T21:39:20.1505673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1506073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1506190Z     return mod(*inputs)
2025-08-14T21:39:20.1506651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1506771Z     features = self.features(x)
2025-08-14T21:39:20.1507233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1507360Z     new_features = layer(features)
2025-08-14T21:39:20.1507813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1508064Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1508079Z 
2025-08-14T21:39:20.1508266Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1508669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1508781Z     return mod(*inputs)
2025-08-14T21:39:20.1509295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1509424Z     features = self.features(x)
2025-08-14T21:39:20.1509877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1510010Z     new_features = layer(features)
2025-08-14T21:39:20.1510461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1510711Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1510726Z 
2025-08-14T21:39:20.1510917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1511312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1511425Z     return mod(*inputs)
2025-08-14T21:39:20.1511877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1511999Z     features = self.features(x)
2025-08-14T21:39:20.1512460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1512582Z     new_features = layer(features)
2025-08-14T21:39:20.1513088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1513342Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1513358Z 
2025-08-14T21:39:20.1513543Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1513945Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1514053Z     return mod(*inputs)
2025-08-14T21:39:20.1514614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1514735Z     features = self.features(x)
2025-08-14T21:39:20.1515398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1515507Z     new_features = layer(features)
2025-08-14T21:39:20.1515910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1516136Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1516149Z 
2025-08-14T21:39:20.1516319Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1516672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1516769Z     return mod(*inputs)
2025-08-14T21:39:20.1517178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1517285Z     features = self.features(x)
2025-08-14T21:39:20.1517692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1517804Z     new_features = layer(features)
2025-08-14T21:39:20.1518207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1518374Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1518794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1518922Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1518936Z 
2025-08-14T21:39:20.1519109Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1519462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1519565Z     return mod(*inputs)
2025-08-14T21:39:20.1519968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1520074Z     features = self.features(x)
2025-08-14T21:39:20.1520527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1520637Z     new_features = layer(features)
2025-08-14T21:39:20.1521036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1521207Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1521622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1521921Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1521935Z 
2025-08-14T21:39:20.1522100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1522452Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1522554Z     return mod(*inputs)
2025-08-14T21:39:20.1522960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1523071Z     features = self.features(x)
2025-08-14T21:39:20.1523472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1523645Z     new_features = layer(features)
2025-08-14T21:39:20.1524051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1524276Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1524290Z 
2025-08-14T21:39:20.1524454Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1524813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1524909Z     return mod(*inputs)
2025-08-14T21:39:20.1525316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1525428Z     features = self.features(x)
2025-08-14T21:39:20.1525827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1525940Z     new_features = layer(features)
2025-08-14T21:39:20.1526344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1526565Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1526584Z 
2025-08-14T21:39:20.1526749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1527099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1527200Z     return mod(*inputs)
2025-08-14T21:39:20.1527600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1527706Z     features = self.features(x)
2025-08-14T21:39:20.1528117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1528227Z     new_features = layer(features)
2025-08-14T21:39:20.1528630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1528854Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1528868Z 
2025-08-14T21:39:20.1529034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1529391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1529487Z     return mod(*inputs)
2025-08-14T21:39:20.1529890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1530002Z     features = self.features(x)
2025-08-14T21:39:20.1530467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1530580Z     new_features = layer(features)
2025-08-14T21:39:20.1530979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1531206Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1531220Z 
2025-08-14T21:39:20.1531392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1531741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1531841Z     return mod(*inputs)
2025-08-14T21:39:20.1532243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1532350Z     features = self.features(x)
2025-08-14T21:39:20.1532752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1532861Z     new_features = layer(features)
2025-08-14T21:39:20.1533263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1533431Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1533903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1534038Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1534052Z 
2025-08-14T21:39:20.1534216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1534568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1534670Z     return mod(*inputs)
2025-08-14T21:39:20.1535072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1535178Z     features = self.features(x)
2025-08-14T21:39:20.1535591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1535700Z     new_features = layer(features)
2025-08-14T21:39:20.1536102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1536266Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1536688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1536984Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1536998Z 
2025-08-14T21:39:20.1537164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1537519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1537616Z     return mod(*inputs)
2025-08-14T21:39:20.1538022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1538137Z     features = self.features(x)
2025-08-14T21:39:20.1538538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1538651Z     new_features = layer(features)
2025-08-14T21:39:20.1539052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1539275Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1539288Z 
2025-08-14T21:39:20.1539459Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1539812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1539908Z     return mod(*inputs)
2025-08-14T21:39:20.1540317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1540424Z     features = self.features(x)
2025-08-14T21:39:20.1540871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1540986Z     new_features = layer(features)
2025-08-14T21:39:20.1541387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1541614Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1541628Z 
2025-08-14T21:39:20.1541793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1542143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1542244Z     return mod(*inputs)
2025-08-14T21:39:20.1542733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1542849Z     features = self.features(x)
2025-08-14T21:39:20.1543471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1543592Z     new_features = layer(features)
2025-08-14T21:39:20.1544102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1544426Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1544537Z 
2025-08-14T21:39:20.1544726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1545128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1545237Z     return mod(*inputs)
2025-08-14T21:39:20.1545695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1545816Z     features = self.features(x)
2025-08-14T21:39:20.1546268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1546402Z     new_features = layer(features)
2025-08-14T21:39:20.1546854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1547105Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1547131Z 
2025-08-14T21:39:20.1547317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1547717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1547832Z     return mod(*inputs)
2025-08-14T21:39:20.1548286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1548407Z     features = self.features(x)
2025-08-14T21:39:20.1548866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1548988Z     new_features = layer(features)
2025-08-14T21:39:20.1549447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1549632Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1550107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1550259Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1550275Z 
2025-08-14T21:39:20.1550461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1550861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1550977Z     return mod(*inputs)
2025-08-14T21:39:20.1551429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1551555Z     features = self.features(x)
2025-08-14T21:39:20.1552066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1552189Z     new_features = layer(features)
2025-08-14T21:39:20.1552645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1552833Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1553764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1554110Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1554125Z 
2025-08-14T21:39:20.1554314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1554720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1554828Z     return mod(*inputs)
2025-08-14T21:39:20.1555285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1555524Z     features = self.features(x)
2025-08-14T21:39:20.1555961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1556205Z     new_features = layer(features)
2025-08-14T21:39:20.1556643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1556887Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1556902Z 
2025-08-14T21:39:20.1557091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1557476Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1557581Z     return mod(*inputs)
2025-08-14T21:39:20.1558030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1558148Z     features = self.features(x)
2025-08-14T21:39:20.1558596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1558718Z     new_features = layer(features)
2025-08-14T21:39:20.1559155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1559414Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1559429Z 
2025-08-14T21:39:20.1559613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1560007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1560113Z     return mod(*inputs)
2025-08-14T21:39:20.1560556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1560680Z     features = self.features(x)
2025-08-14T21:39:20.1561122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1561240Z     new_features = layer(features)
2025-08-14T21:39:20.1561680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1561928Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1561943Z 
2025-08-14T21:39:20.1562131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1562516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1562625Z     return mod(*inputs)
2025-08-14T21:39:20.1563070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1563189Z     features = self.features(x)
2025-08-14T21:39:20.1563628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1563824Z     new_features = layer(features)
2025-08-14T21:39:20.1564264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1564512Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1564531Z 
2025-08-14T21:39:20.1564714Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1565100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1565215Z     return mod(*inputs)
2025-08-14T21:39:20.1565762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1565881Z     features = self.features(x)
2025-08-14T21:39:20.1566431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1566541Z     new_features = layer(features)
2025-08-14T21:39:20.1566952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1567114Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1567532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1567729Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1567743Z 
2025-08-14T21:39:20.1567910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1568269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1568369Z     return mod(*inputs)
2025-08-14T21:39:20.1568771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1568884Z     features = self.features(x)
2025-08-14T21:39:20.1569285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1569398Z     new_features = layer(features)
2025-08-14T21:39:20.1569801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1569968Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1570393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1570687Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1570701Z 
2025-08-14T21:39:20.1570868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1571225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1571322Z     return mod(*inputs)
2025-08-14T21:39:20.1571731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1571842Z     features = self.features(x)
2025-08-14T21:39:20.1572242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1572357Z     new_features = layer(features)
2025-08-14T21:39:20.1572760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1572984Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1573003Z 
2025-08-14T21:39:20.1573170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1573523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1573624Z     return mod(*inputs)
2025-08-14T21:39:20.1574028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1574300Z     features = self.features(x)
2025-08-14T21:39:20.1574790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1574910Z     new_features = layer(features)
2025-08-14T21:39:20.1575336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1575581Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1575596Z 
2025-08-14T21:39:20.1575771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1576149Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1576251Z     return mod(*inputs)
2025-08-14T21:39:20.1576681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1576808Z     features = self.features(x)
2025-08-14T21:39:20.1577237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1577368Z     new_features = layer(features)
2025-08-14T21:39:20.1577795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1578087Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1578101Z 
2025-08-14T21:39:20.1578289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1578663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1578767Z     return mod(*inputs)
2025-08-14T21:39:20.1579206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1579322Z     features = self.features(x)
2025-08-14T21:39:20.1579761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1579879Z     new_features = layer(features)
2025-08-14T21:39:20.1580309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1580556Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1580575Z 
2025-08-14T21:39:20.1580753Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1581137Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1581242Z     return mod(*inputs)
2025-08-14T21:39:20.1581670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1581795Z     features = self.features(x)
2025-08-14T21:39:20.1582224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1582344Z     new_features = layer(features)
2025-08-14T21:39:20.1582860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1583206Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1583749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1583900Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1583916Z 
2025-08-14T21:39:20.1584103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1584511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1584622Z     return mod(*inputs)
2025-08-14T21:39:20.1585077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1585209Z     features = self.features(x)
2025-08-14T21:39:20.1585661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1585851Z     new_features = layer(features)
2025-08-14T21:39:20.1586307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1586492Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1586977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1587307Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1587323Z 
2025-08-14T21:39:20.1587514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1587914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1588022Z     return mod(*inputs)
2025-08-14T21:39:20.1588480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1588601Z     features = self.features(x)
2025-08-14T21:39:20.1589056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1589184Z     new_features = layer(features)
2025-08-14T21:39:20.1589635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1589949Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1589964Z 
2025-08-14T21:39:20.1590151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1590548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1590664Z     return mod(*inputs)
2025-08-14T21:39:20.1591116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1591235Z     features = self.features(x)
2025-08-14T21:39:20.1591700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1591822Z     new_features = layer(features)
2025-08-14T21:39:20.1592280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1592535Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1592550Z 
2025-08-14T21:39:20.1592736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1593138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1593246Z     return mod(*inputs)
2025-08-14T21:39:20.1593707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1593830Z     features = self.features(x)
2025-08-14T21:39:20.1594392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1594522Z     new_features = layer(features)
2025-08-14T21:39:20.1595066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1595418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1595441Z 
2025-08-14T21:39:20.1595607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1595959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1596060Z     return mod(*inputs)
2025-08-14T21:39:20.1596466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1596572Z     features = self.features(x)
2025-08-14T21:39:20.1596977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1597086Z     new_features = layer(features)
2025-08-14T21:39:20.1597533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1597760Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1597774Z 
2025-08-14T21:39:20.1597942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1598301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1598397Z     return mod(*inputs)
2025-08-14T21:39:20.1598802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1598912Z     features = self.features(x)
2025-08-14T21:39:20.1599312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1599425Z     new_features = layer(features)
2025-08-14T21:39:20.1599825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1599993Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1600418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1600599Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1600613Z 
2025-08-14T21:39:20.1600778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1601140Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1601237Z     return mod(*inputs)
2025-08-14T21:39:20.1601644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1601750Z     features = self.features(x)
2025-08-14T21:39:20.1602153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1602269Z     new_features = layer(features)
2025-08-14T21:39:20.1602671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1602833Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1603259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1603552Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1603566Z 
2025-08-14T21:39:20.1603737Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1604089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1604186Z     return mod(*inputs)
2025-08-14T21:39:20.1604596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1604702Z     features = self.features(x)
2025-08-14T21:39:20.1605110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1605221Z     new_features = layer(features)
2025-08-14T21:39:20.1605618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1605850Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1605864Z 
2025-08-14T21:39:20.1606030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1606384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1606681Z     return mod(*inputs)
2025-08-14T21:39:20.1607424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1607548Z     features = self.features(x)
2025-08-14T21:39:20.1608077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1608198Z     new_features = layer(features)
2025-08-14T21:39:20.1608643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1608891Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1608906Z 
2025-08-14T21:39:20.1609099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1609487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1609593Z     return mod(*inputs)
2025-08-14T21:39:20.1610040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1610161Z     features = self.features(x)
2025-08-14T21:39:20.1610599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1610727Z     new_features = layer(features)
2025-08-14T21:39:20.1611167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1611418Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1611487Z 
2025-08-14T21:39:20.1611672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1612057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1612172Z     return mod(*inputs)
2025-08-14T21:39:20.1612617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1612733Z     features = self.features(x)
2025-08-14T21:39:20.1613179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1613297Z     new_features = layer(features)
2025-08-14T21:39:20.1613746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1613992Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1614007Z 
2025-08-14T21:39:20.1614187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1614581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1614686Z     return mod(*inputs)
2025-08-14T21:39:20.1615134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1615252Z     features = self.features(x)
2025-08-14T21:39:20.1615689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1615814Z     new_features = layer(features)
2025-08-14T21:39:20.1616249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1616431Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1616900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 48, in bn_function
2025-08-14T21:39:20.1617046Z     concated_features = torch.cat(inputs, 1)
2025-08-14T21:39:20.1617061Z 
2025-08-14T21:39:20.1617246Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1617633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1617741Z     return mod(*inputs)
2025-08-14T21:39:20.1618192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1618310Z     features = self.features(x)
2025-08-14T21:39:20.1618748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1618878Z     new_features = layer(features)
2025-08-14T21:39:20.1619365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 88, in forward
2025-08-14T21:39:20.1619548Z     bottleneck_output = self.bn_function(prev_features)
2025-08-14T21:39:20.1620005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 49, in bn_function
2025-08-14T21:39:20.1620327Z     bottleneck_output = self.conv1(self.relu1(self.norm1(concated_features)))  # noqa: T484
2025-08-14T21:39:20.1620342Z 
2025-08-14T21:39:20.1620533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1620918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1621035Z     return mod(*inputs)
2025-08-14T21:39:20.1621479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1621595Z     features = self.features(x)
2025-08-14T21:39:20.1622045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1622164Z     new_features = layer(features)
2025-08-14T21:39:20.1622680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1622997Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1623013Z 
2025-08-14T21:39:20.1623362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1623767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1623877Z     return mod(*inputs)
2025-08-14T21:39:20.1624330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1624463Z     features = self.features(x)
2025-08-14T21:39:20.1624914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1625051Z     new_features = layer(features)
2025-08-14T21:39:20.1625504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1625755Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1625775Z 
2025-08-14T21:39:20.1625969Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1626365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1626472Z     return mod(*inputs)
2025-08-14T21:39:20.1626934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1627057Z     features = self.features(x)
2025-08-14T21:39:20.1627520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1627642Z     new_features = layer(features)
2025-08-14T21:39:20.1628095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1628352Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1628372Z 
2025-08-14T21:39:20.1628562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1628960Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1629077Z     return mod(*inputs)
2025-08-14T21:39:20.1629530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1629659Z     features = self.features(x)
2025-08-14T21:39:20.1630112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 122, in forward
2025-08-14T21:39:20.1630235Z     new_features = layer(features)
2025-08-14T21:39:20.1630748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 90, in forward
2025-08-14T21:39:20.1631002Z     new_features = self.conv2(self.relu2(self.norm2(bottleneck_output)))
2025-08-14T21:39:20.1631017Z 
2025-08-14T21:39:20.1631164Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1631302Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1631434Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1631571Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1631701Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1631831Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1631966Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1632152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1632551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1632663Z     return mod(*inputs)
2025-08-14T21:39:20.1633118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 213, in forward
2025-08-14T21:39:20.1633254Z     features = self.features(x)
2025-08-14T21:39:20.1633709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 124, in forward
2025-08-14T21:39:20.1633890Z     return torch.cat(features, 1)
2025-08-14T21:39:20.1633906Z 
2025-08-14T21:39:20.1634045Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1634338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T21:39:20.1634830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T21:39:20.1634938Z     return mod(*inputs)
2025-08-14T21:39:20.1635366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/densenet.py", line 215, in forward
2025-08-14T21:39:20.1635506Z     out = F.adaptive_avg_pool2d(out, (1, 1))
2025-08-14T21:39:20.1635521Z 
2025-08-14T21:39:20.1635644Z cudagraph partition due to non gpu ops
2025-08-14T21:39:20.1635767Z cudagraph partition due to non gpu ops
2025-08-14T21:39:35.1457209Z Compilation time (from dynamo_timed): 52.503592238
2025-08-14T21:39:35.1457735Z pass
2025-08-14T21:39:35.1467239Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T21:39:35.1468918Z TIMING: _recursive_pre_grad_passes:0.1074 _recursive_joint_graph_passes:0.62298 _recursive_post_grad_passes:0.16747 async_compile.wait:0.72212 code_gen:14.90897 inductor_compile:19.48662 backend_compile:41.44874 gc:0.00095 entire_frame_compile:52.50359 total_wall_time:52.50359
2025-08-14T21:39:35.1470837Z STATS: call_* op count: 431 | FakeTensorMode.__torch_dispatch__:51288 | FakeTensor.__torch_dispatch__:9792 | ProxyTorchDispatchMode.__torch_dispatch__:10736
2025-08-14T21:39:35.1471879Z Dynamo produced 1 graphs covering 431 ops with 0 graph breaks (0 unique)
2025-08-14T21:39:40.6492726Z 
2025-08-14T21:39:40.9616990Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:39:40.9617640Z   what():  std::bad_alloc
2025-08-14T21:41:56.9778499Z Run failed with return code:  -6
2025-08-14T21:41:56.9778917Z Output:  None
2025-08-14T21:42:00.4970419Z Error:  None
2025-08-14T21:42:00.4970726Z 
2025-08-14T21:42:00.8022072Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:42:00.8022901Z   what():  std::bad_array_new_length
2025-08-14T21:44:16.4037099Z Run failed with return code:  -6
2025-08-14T21:44:16.4037533Z Output:  None
2025-08-14T21:44:16.4037794Z Error:  None
2025-08-14T21:44:19.9120471Z 
2025-08-14T21:44:20.2150482Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:44:20.2151217Z   what():  std::bad_array_new_length
2025-08-14T21:46:35.7765750Z Run failed with return code:  -6
2025-08-14T21:46:35.7766175Z Output:  None
2025-08-14T21:46:35.7766438Z Error:  None
2025-08-14T21:46:39.2772760Z 
2025-08-14T21:46:39.5822267Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:46:39.5823356Z   what():  std::bad_array_new_length
2025-08-14T21:48:55.6493346Z Run failed with return code:  -6
2025-08-14T21:48:55.6493793Z Output:  None
2025-08-14T21:48:55.6494092Z Error:  None
2025-08-14T21:48:59.1517715Z 
2025-08-14T21:48:59.4588577Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:48:59.4589226Z   what():  std::bad_alloc
2025-08-14T21:51:15.1662067Z Run failed with return code:  -6
2025-08-14T21:51:15.1662487Z Output:  None
2025-08-14T21:51:15.1662866Z Error:  None
2025-08-14T21:51:18.6564963Z 
2025-08-14T21:51:18.9625665Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:51:18.9626375Z   what():  std::bad_array_new_length
2025-08-14T21:53:34.3341252Z Run failed with return code:  -6
2025-08-14T21:53:34.3344327Z Output:  None
2025-08-14T21:53:34.3344651Z Error:  None
2025-08-14T21:53:37.8408509Z 
2025-08-14T21:53:38.1468532Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T21:53:38.1469255Z   what():  std::bad_array_new_length
2025-08-14T21:55:54.3066436Z Run failed with return code:  -6
2025-08-14T21:55:54.3066861Z Output:  None
2025-08-14T21:55:54.3067548Z Error:  None
2025-08-14T21:55:57.8072543Z 
2025-08-14T21:55:58.1154503Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_alloc'
2025-08-14T21:55:58.1155263Z   what():  std::bad_alloc
2025-08-14T21:58:14.5840058Z Run failed with return code:  -6
2025-08-14T21:58:14.5842678Z Output:  None
2025-08-14T21:58:14.5842984Z Error:  None
2025-08-14T21:58:18.0612676Z 
2025-08-14T22:01:13.8038537Z loading model: 0it [00:00, ?it/s]Run failed with return code:  -11
2025-08-14T22:01:13.8039091Z Output:  None
2025-08-14T22:01:13.8039352Z Error:  None
2025-08-14T22:01:17.2883209Z 
2025-08-14T22:01:17.5925859Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T22:01:17.5926547Z   what():  std::bad_array_new_length
2025-08-14T22:03:33.6331002Z Run failed with return code:  -6
2025-08-14T22:03:33.6331481Z Output:  None
2025-08-14T22:03:33.6331739Z Error:  None
2025-08-14T22:03:37.1510898Z 
2025-08-14T22:03:37.4583920Z loading model: 0it [00:00, ?it/s]terminate called after throwing an instance of 'std::bad_array_new_length'
2025-08-14T22:03:37.4584648Z   what():  std::bad_array_new_length
2025-08-14T22:05:54.1054511Z Run failed with return code:  -6
2025-08-14T22:05:54.1056779Z Output:  None
2025-08-14T22:05:54.1059723Z Error:  None
2025-08-14T22:05:57.6066380Z 
2025-08-14T22:06:07.8521448Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:06:07.8521866Z loading model: 0it [00:10, ?it/s]
2025-08-14T22:06:07.8522621Z cpu  eval  dlrm                               
2025-08-14T22:06:08.6988421Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:08.9921579Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:09.2862658Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:14.2822761Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2823500Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2823923Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2824316Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2824718Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2825121Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2825524Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2825935Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2826336Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2826797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2827948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2828665Z     return mod(*inputs)
2025-08-14T22:06:14.2829272Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2829981Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2830700Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2831412Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2832073Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2832787Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2833126Z 
2025-08-14T22:06:14.2833330Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2834068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2834733Z     return mod(*inputs)
2025-08-14T22:06:14.2835383Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2840596Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2841576Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2842268Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2842890Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2843583Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2843908Z 
2025-08-14T22:06:14.2844119Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2844832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2845462Z     return mod(*inputs)
2025-08-14T22:06:14.2845995Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2846661Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2847353Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2848042Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2848673Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2849357Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2849680Z 
2025-08-14T22:06:14.2849873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2850585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2851229Z     return mod(*inputs)
2025-08-14T22:06:14.2851746Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2852408Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2853115Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2854326Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2854952Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2855651Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2855977Z 
2025-08-14T22:06:14.2856189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2856888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2857534Z     return mod(*inputs)
2025-08-14T22:06:14.2858075Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2858742Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2859443Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2860273Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2860909Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2861586Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2861930Z 
2025-08-14T22:06:14.2862130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2863125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2863798Z     return mod(*inputs)
2025-08-14T22:06:14.2864339Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2865029Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2865763Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2866458Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2867113Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2867821Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2868156Z 
2025-08-14T22:06:14.2868372Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2869203Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2869869Z     return mod(*inputs)
2025-08-14T22:06:14.2870427Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2871113Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2871827Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2872533Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2873181Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2873881Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2874341Z 
2025-08-14T22:06:14.2874536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2875248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2875901Z     return mod(*inputs)
2025-08-14T22:06:14.2876421Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2877089Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2877800Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 366, in sequential_forward
2025-08-14T22:06:14.2878471Z     ly = self.apply_emb(lS_o, lS_i, self.emb_l)
2025-08-14T22:06:14.2879104Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 307, in apply_emb
2025-08-14T22:06:14.2879797Z     V = E(sparse_index_group_batch, sparse_offset_group_batch)
2025-08-14T22:06:14.2880127Z 
2025-08-14T22:06:14.2880340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2881039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2881690Z     return mod(*inputs)
2025-08-14T22:06:14.2882234Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2882884Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2883588Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 360, in sequential_forward
2025-08-14T22:06:14.2884260Z     x = self.apply_mlp(dense_x, self.bot_l)
2025-08-14T22:06:14.2884875Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:06:14.2885464Z     return layers(x)
2025-08-14T22:06:14.2885657Z 
2025-08-14T22:06:14.2885800Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2886204Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2886691Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2887177Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2887559Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2887924Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2888309Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2888687Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2889065Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2889481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2890172Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2890803Z     return mod(*inputs)
2025-08-14T22:06:14.2891306Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2891947Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2892632Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:06:14.2893284Z     z = self.interact_features(x, ly)
2025-08-14T22:06:14.2893890Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 318, in interact_features
2025-08-14T22:06:14.2894589Z     T = torch.cat([x] + ly, dim=1).view((batch_size, -1, d))
2025-08-14T22:06:14.2894959Z 
2025-08-14T22:06:14.2895160Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2895832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2896459Z     return mod(*inputs)
2025-08-14T22:06:14.2896976Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2897621Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2914794Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:06:14.2915565Z     z = self.interact_features(x, ly)
2025-08-14T22:06:14.2916247Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 320, in interact_features
2025-08-14T22:06:14.2916937Z     Z = torch.bmm(T, torch.transpose(T, 1, 2))
2025-08-14T22:06:14.2917215Z 
2025-08-14T22:06:14.2917418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2918142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2918768Z     return mod(*inputs)
2025-08-14T22:06:14.2919273Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2919922Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2920630Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:06:14.2921301Z     z = self.interact_features(x, ly)
2025-08-14T22:06:14.2921929Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 337, in interact_features
2025-08-14T22:06:14.2922568Z     Zflat = Z[:, li, lj]
2025-08-14T22:06:14.2922763Z 
2025-08-14T22:06:14.2922979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2923680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2924331Z     return mod(*inputs)
2025-08-14T22:06:14.2924865Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2925533Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2926227Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 371, in sequential_forward
2025-08-14T22:06:14.2926898Z     z = self.interact_features(x, ly)
2025-08-14T22:06:14.2927537Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 339, in interact_features
2025-08-14T22:06:14.2928178Z     R = torch.cat([x] + [Zflat], dim=1)
2025-08-14T22:06:14.2928442Z 
2025-08-14T22:06:14.2928585Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2929255Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2929954Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2930567Z     return mod(*inputs)
2025-08-14T22:06:14.2931086Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2931738Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2932405Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:06:14.2933055Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:06:14.2933812Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:06:14.2934617Z     return layers(x)
2025-08-14T22:06:14.2934885Z 
2025-08-14T22:06:14.2935101Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2935719Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2936535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2937346Z     return mod(*inputs)
2025-08-14T22:06:14.2937879Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2938635Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2939327Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:06:14.2939997Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:06:14.2940614Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:06:14.2941987Z     return layers(x)
2025-08-14T22:06:14.2942201Z 
2025-08-14T22:06:14.2942353Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2942922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2943838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2944494Z     return mod(*inputs)
2025-08-14T22:06:14.2945059Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2945747Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2946481Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:06:14.2947157Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:06:14.2947780Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:06:14.2948398Z     return layers(x)
2025-08-14T22:06:14.2948585Z 
2025-08-14T22:06:14.2948774Z cudagraph partition due to non gpu ops
2025-08-14T22:06:14.2949228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:06:14.2949957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:06:14.2950621Z     return mod(*inputs)
2025-08-14T22:06:14.2951161Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 354, in forward
2025-08-14T22:06:14.2951845Z     return self.sequential_forward(dense_x, lS_o, lS_i)
2025-08-14T22:06:14.2952566Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 375, in sequential_forward
2025-08-14T22:06:14.2953779Z     p = self.apply_mlp(z, self.top_l)
2025-08-14T22:06:14.2954415Z   File "/torchbench/torchbenchmark/models/dlrm/dlrm_s_pytorch.py", line 286, in apply_mlp
2025-08-14T22:06:14.2955146Z     return layers(x)
2025-08-14T22:06:14.2955329Z 
2025-08-14T22:06:18.6507929Z Compilation time (from dynamo_timed): 7.819528069
2025-08-14T22:06:18.6508757Z pass
2025-08-14T22:06:18.6514126Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:06:18.6516147Z TIMING: _recursive_pre_grad_passes:0.01071 _recursive_joint_graph_passes:0.20286 _recursive_post_grad_passes:0.02886 async_compile.wait:0.73772 code_gen:4.11634 inductor_compile:6.18796 backend_compile:7.19108 gc:0.00074 entire_frame_compile:7.81953 total_wall_time:7.81953
2025-08-14T22:06:18.6518310Z STATS: call_* op count: 36 | FakeTensorMode.__torch_dispatch__:2506 | FakeTensor.__torch_dispatch__:321 | ProxyTorchDispatchMode.__torch_dispatch__:564
2025-08-14T22:06:18.6519291Z Dynamo produced 1 graphs covering 36 ops with 0 graph breaks (0 unique)
2025-08-14T22:06:23.5960344Z 
2025-08-14T22:06:25.0917764Z loading model: 0it [00:00, ?it/s]Downloading https://doctr-static.mindee.com/models?id=v0.7.0/db_resnet50-79bd7d70.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/db_resnet50-79bd7d70.pt
2025-08-14T22:06:25.4713894Z 
2025-08-14T22:06:25.4713967Z 
2025-08-14T22:06:25.5712236Z   0% 0/102021912 [00:00<?, ?it/s]
2025-08-14T22:06:25.5712795Z 
2025-08-14T22:06:25.6712099Z  18% 17874944/102021912 [00:00<00:00, 178730434.76it/s]
2025-08-14T22:06:25.6712723Z 
2025-08-14T22:06:25.7712274Z  39% 39647232/102021912 [00:00<00:00, 201664579.25it/s]
2025-08-14T22:06:25.7712884Z 
2025-08-14T22:06:25.8711881Z  61% 61936640/102021912 [00:00<00:00, 211355704.26it/s]
2025-08-14T22:06:25.8712258Z 
2025-08-14T22:06:25.9501730Z  83% 84327424/102021912 [00:00<00:00, 216307648.29it/s]
2025-08-14T22:06:25.9502659Z 102022144it [00:00, 213279527.31it/s]                  
2025-08-14T22:06:28.2271335Z Downloading https://doctr-static.mindee.com/models?id=v0.3.1/crnn_vgg16_bn-9762b0b0.pt&src=0 to /var/lib/jenkins/.cache/doctr/models/crnn_vgg16_bn-9762b0b0.pt
2025-08-14T22:06:28.5527712Z 
2025-08-14T22:06:28.5527749Z 
2025-08-14T22:06:28.6529269Z   0% 0/63286381 [00:00<?, ?it/s]
2025-08-14T22:06:28.6529572Z 
2025-08-14T22:06:28.7529536Z  24% 15074304/63286381 [00:00<00:00, 150741746.17it/s]
2025-08-14T22:06:28.7529929Z 
2025-08-14T22:06:28.8528094Z  53% 33346560/63286381 [00:00<00:00, 169553067.07it/s]
2025-08-14T22:06:28.8528481Z 
2025-08-14T22:06:28.9139712Z  82% 51859456/63286381 [00:00<00:00, 176662698.14it/s]
2025-08-14T22:06:28.9140210Z 63287296it [00:00, 175322039.62it/s]                  
2025-08-14T22:06:32.9584634Z 
2025-08-14T22:06:32.9585118Z loading model: 0it [00:09, ?it/s]
2025-08-14T22:06:32.9609797Z cpu  eval  doctr_det_predictor                
2025-08-14T22:07:01.0820522Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:06.5301184Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:11.6295408Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:39.8476697Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8477244Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8477685Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8479228Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8480870Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8482135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8483400Z     x = module(x)
2025-08-14T22:07:39.8483713Z 
2025-08-14T22:07:39.8484052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8485867Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8487403Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8488069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8489054Z     x = module(x)
2025-08-14T22:07:39.8489229Z 
2025-08-14T22:07:39.8489441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8491126Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8492773Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8494385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8495594Z     x = module(x)
2025-08-14T22:07:39.8495913Z 
2025-08-14T22:07:39.8496412Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8498208Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8499893Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8501103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8502355Z     x = module(x)
2025-08-14T22:07:39.8503746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8505051Z     out = self.relu(out)
2025-08-14T22:07:39.8505426Z 
2025-08-14T22:07:39.8505772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8507603Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8509344Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8510808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8515511Z     x = module(x)
2025-08-14T22:07:39.8516120Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8516802Z     out = self.relu(out)
2025-08-14T22:07:39.8516999Z 
2025-08-14T22:07:39.8517189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8518630Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8519523Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8520182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8520853Z     x = module(x)
2025-08-14T22:07:39.8521452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8522140Z     out = self.relu(out)
2025-08-14T22:07:39.8522334Z 
2025-08-14T22:07:39.8522528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8523472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8524368Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8525033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8525684Z     x = module(x)
2025-08-14T22:07:39.8526283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8526958Z     out = self.relu(out)
2025-08-14T22:07:39.8527157Z 
2025-08-14T22:07:39.8527346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8528290Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8529181Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8529841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8530493Z     x = module(x)
2025-08-14T22:07:39.8531090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8531770Z     out = self.relu(out)
2025-08-14T22:07:39.8531962Z 
2025-08-14T22:07:39.8532150Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8533102Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8534096Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8534764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8535418Z     x = module(x)
2025-08-14T22:07:39.8536021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8536700Z     out = self.relu(out)
2025-08-14T22:07:39.8536893Z 
2025-08-14T22:07:39.8537047Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8537477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8538421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8539313Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8539967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8540635Z     x = module(x)
2025-08-14T22:07:39.8541236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8541916Z     out = self.relu(out)
2025-08-14T22:07:39.8542178Z 
2025-08-14T22:07:39.8542366Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8543616Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8544535Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8545211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8545901Z     x = module(x)
2025-08-14T22:07:39.8546520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8547222Z     out = self.relu(out)
2025-08-14T22:07:39.8547420Z 
2025-08-14T22:07:39.8547621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8548590Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8549506Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8550173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8550856Z     x = module(x)
2025-08-14T22:07:39.8551472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8552170Z     out = self.relu(out)
2025-08-14T22:07:39.8552367Z 
2025-08-14T22:07:39.8552559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8554035Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8555078Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8555760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8556412Z     x = module(x)
2025-08-14T22:07:39.8557009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8557693Z     out = self.relu(out)
2025-08-14T22:07:39.8557886Z 
2025-08-14T22:07:39.8558025Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8558465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8559406Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8560295Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8560943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8561608Z     x = module(x)
2025-08-14T22:07:39.8562341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8563012Z     out = self.relu(out)
2025-08-14T22:07:39.8563223Z 
2025-08-14T22:07:39.8563411Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8564367Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8565256Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8565905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8566574Z     x = module(x)
2025-08-14T22:07:39.8567175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8567847Z     out = self.relu(out)
2025-08-14T22:07:39.8568053Z 
2025-08-14T22:07:39.8568241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8569189Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8570075Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8570723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8571468Z     x = module(x)
2025-08-14T22:07:39.8572066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8572747Z     out = self.relu(out)
2025-08-14T22:07:39.8572941Z 
2025-08-14T22:07:39.8573131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8574205Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8575173Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8575834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8576503Z     x = module(x)
2025-08-14T22:07:39.8577106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8577796Z     out = self.relu(out)
2025-08-14T22:07:39.8577990Z 
2025-08-14T22:07:39.8578132Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8578576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8579586Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8580461Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8581124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8581784Z     x = module(x)
2025-08-14T22:07:39.8582384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8583340Z     out = self.relu(out)
2025-08-14T22:07:39.8583556Z 
2025-08-14T22:07:39.8583751Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8584727Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8585636Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8586319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8587003Z     x = module(x)
2025-08-14T22:07:39.8587618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8588303Z     out = self.relu(out)
2025-08-14T22:07:39.8588513Z 
2025-08-14T22:07:39.8588707Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8589782Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8590703Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8591370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8592059Z     x = module(x)
2025-08-14T22:07:39.8592675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8593359Z     out = self.relu(out)
2025-08-14T22:07:39.8593571Z 
2025-08-14T22:07:39.8593764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8594830Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8595916Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8596512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8597117Z     x = module(x)
2025-08-14T22:07:39.8597668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8598278Z     out = self.relu(out)
2025-08-14T22:07:39.8598532Z 
2025-08-14T22:07:39.8598704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8599569Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8600385Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8600983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8601591Z     x = module(x)
2025-08-14T22:07:39.8602141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8602753Z     out = self.relu(out)
2025-08-14T22:07:39.8602944Z 
2025-08-14T22:07:39.8603124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8603989Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8604810Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8605405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8606016Z     x = module(x)
2025-08-14T22:07:39.8606566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8607193Z     out = self.relu(out)
2025-08-14T22:07:39.8607371Z 
2025-08-14T22:07:39.8607501Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8607908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8608776Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8609582Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8610189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8610802Z     x = module(x)
2025-08-14T22:07:39.8611351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8611964Z     out = self.relu(out)
2025-08-14T22:07:39.8612152Z 
2025-08-14T22:07:39.8612324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8613193Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8613995Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8614606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8615218Z     x = module(x)
2025-08-14T22:07:39.8615836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8616452Z     out = self.relu(out)
2025-08-14T22:07:39.8616643Z 
2025-08-14T22:07:39.8616819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8617696Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8618499Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8619108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8619717Z     x = module(x)
2025-08-14T22:07:39.8620268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8620879Z     out = self.relu(out)
2025-08-14T22:07:39.8621066Z 
2025-08-14T22:07:39.8621239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8622104Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8623181Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8623881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8625655Z     x = module(x)
2025-08-14T22:07:39.8626277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8626970Z     out = self.relu(out)
2025-08-14T22:07:39.8627183Z 
2025-08-14T22:07:39.8627326Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8627780Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8628756Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8629657Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8630347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8631032Z     x = module(x)
2025-08-14T22:07:39.8631632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8632338Z     out = self.relu(out)
2025-08-14T22:07:39.8632539Z 
2025-08-14T22:07:39.8632747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8633722Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8634624Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8635403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8636067Z     x = module(x)
2025-08-14T22:07:39.8636793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8637546Z     out = self.relu(out)
2025-08-14T22:07:39.8637781Z 
2025-08-14T22:07:39.8637970Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8638918Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8639796Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8640464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8641128Z     x = module(x)
2025-08-14T22:07:39.8641728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8642456Z     out = self.relu(out)
2025-08-14T22:07:39.8642662Z 
2025-08-14T22:07:39.8642850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8643869Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8644748Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8645412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8646080Z     x = module(x)
2025-08-14T22:07:39.8646680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8647345Z     out = self.relu(out)
2025-08-14T22:07:39.8647551Z 
2025-08-14T22:07:39.8647691Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8648130Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8649061Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8649948Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8650614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8651278Z     x = module(x)
2025-08-14T22:07:39.8651863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8652647Z     out = self.relu(out)
2025-08-14T22:07:39.8652843Z 
2025-08-14T22:07:39.8653047Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8654421Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8655314Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8655978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8656640Z     x = module(x)
2025-08-14T22:07:39.8657228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8657906Z     out = self.relu(out)
2025-08-14T22:07:39.8658100Z 
2025-08-14T22:07:39.8658305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8659237Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8660147Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8660798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8661465Z     x = module(x)
2025-08-14T22:07:39.8662066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8662813Z     out = self.relu(out)
2025-08-14T22:07:39.8663202Z 
2025-08-14T22:07:39.8663399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8664377Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8665306Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8665980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8666676Z     x = module(x)
2025-08-14T22:07:39.8667304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8667996Z     out = self.relu(out)
2025-08-14T22:07:39.8668212Z 
2025-08-14T22:07:39.8668359Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8668818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8669793Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8670697Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8671389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8672079Z     x = module(x)
2025-08-14T22:07:39.8672812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8673524Z     out = self.relu(out)
2025-08-14T22:07:39.8673739Z 
2025-08-14T22:07:39.8673938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8675103Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8675958Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8676602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8677244Z     x = module(x)
2025-08-14T22:07:39.8677825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8678470Z     out = self.relu(out)
2025-08-14T22:07:39.8678671Z 
2025-08-14T22:07:39.8678852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8679773Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8680642Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8681367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8682010Z     x = module(x)
2025-08-14T22:07:39.8682592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8683238Z     out = self.relu(out)
2025-08-14T22:07:39.8683437Z 
2025-08-14T22:07:39.8683622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8684537Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8685389Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8686039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8686689Z     x = module(x)
2025-08-14T22:07:39.8687270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8687923Z     out = self.relu(out)
2025-08-14T22:07:39.8688122Z 
2025-08-14T22:07:39.8688304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8689220Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8690080Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8690711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8691356Z     x = module(x)
2025-08-14T22:07:39.8691934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8692689Z     out = self.relu(out)
2025-08-14T22:07:39.8692881Z 
2025-08-14T22:07:39.8693052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8693917Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8694736Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8695331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8695940Z     x = module(x)
2025-08-14T22:07:39.8696491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8697099Z     out = self.relu(out)
2025-08-14T22:07:39.8697290Z 
2025-08-14T22:07:39.8697419Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8697823Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8698756Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8704584Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8705273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8705973Z     x = module(x)
2025-08-14T22:07:39.8706579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8707287Z     out = self.relu(out)
2025-08-14T22:07:39.8707499Z 
2025-08-14T22:07:39.8707691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8708663Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8709565Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8710245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8710931Z     x = module(x)
2025-08-14T22:07:39.8711532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8712231Z     out = self.relu(out)
2025-08-14T22:07:39.8712522Z 
2025-08-14T22:07:39.8712715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8713687Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8714683Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8715341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8716005Z     x = module(x)
2025-08-14T22:07:39.8716602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8717270Z     out = self.relu(out)
2025-08-14T22:07:39.8717473Z 
2025-08-14T22:07:39.8717666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8718704Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8719641Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8720249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8720867Z     x = module(x)
2025-08-14T22:07:39.8721424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8722037Z     out = self.relu(out)
2025-08-14T22:07:39.8722227Z 
2025-08-14T22:07:39.8722355Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8722761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8723614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8724435Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8725044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8725663Z     x = module(x)
2025-08-14T22:07:39.8726198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8726824Z     out = self.relu(out)
2025-08-14T22:07:39.8727001Z 
2025-08-14T22:07:39.8727185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8728037Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8728852Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8729460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8730072Z     x = module(x)
2025-08-14T22:07:39.8730668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8731297Z     out = self.relu(out)
2025-08-14T22:07:39.8731475Z 
2025-08-14T22:07:39.8731659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8732534Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8733338Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8733951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8734565Z     x = module(x)
2025-08-14T22:07:39.8735107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8735735Z     out = self.relu(out)
2025-08-14T22:07:39.8735913Z 
2025-08-14T22:07:39.8736101Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8736976Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8737777Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8738445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8739059Z     x = module(x)
2025-08-14T22:07:39.8739600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8740227Z     out = self.relu(out)
2025-08-14T22:07:39.8740415Z 
2025-08-14T22:07:39.8740546Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8740957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8741811Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8742722Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8743559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8744231Z     x = module(x)
2025-08-14T22:07:39.8744848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8745552Z     out = self.relu(out)
2025-08-14T22:07:39.8745751Z 
2025-08-14T22:07:39.8745956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8746915Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8747832Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8748509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8749193Z     x = module(x)
2025-08-14T22:07:39.8749803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8750505Z     out = self.relu(out)
2025-08-14T22:07:39.8750704Z 
2025-08-14T22:07:39.8750911Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8751872Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8752793Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8753918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8754612Z     x = module(x)
2025-08-14T22:07:39.8755321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8756002Z     out = self.relu(out)
2025-08-14T22:07:39.8756200Z 
2025-08-14T22:07:39.8756400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8757455Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8758347Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8759011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8759682Z     x = module(x)
2025-08-14T22:07:39.8760270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8760956Z     out = self.relu(out)
2025-08-14T22:07:39.8761149Z 
2025-08-14T22:07:39.8766253Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8766694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8767645Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8768539Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8769217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8769875Z     x = module(x)
2025-08-14T22:07:39.8770476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8771260Z     out = self.relu(out)
2025-08-14T22:07:39.8771458Z 
2025-08-14T22:07:39.8771664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8772594Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8773488Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8774151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8774800Z     x = module(x)
2025-08-14T22:07:39.8775405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8776084Z     out = self.relu(out)
2025-08-14T22:07:39.8776281Z 
2025-08-14T22:07:39.8776481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8777414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8778309Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8778972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8779621Z     x = module(x)
2025-08-14T22:07:39.8780219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8780894Z     out = self.relu(out)
2025-08-14T22:07:39.8781086Z 
2025-08-14T22:07:39.8781284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8782213Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8783369Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8784054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8784745Z     x = module(x)
2025-08-14T22:07:39.8785348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8786055Z     out = self.relu(out)
2025-08-14T22:07:39.8786253Z 
2025-08-14T22:07:39.8786411Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8786854Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8787829Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8788747Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8789433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8790169Z     x = module(x)
2025-08-14T22:07:39.8790789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8791492Z     out = self.relu(out)
2025-08-14T22:07:39.8791696Z 
2025-08-14T22:07:39.8791890Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8792864Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8793782Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8794576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8795335Z     x = module(x)
2025-08-14T22:07:39.8795918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8796580Z     out = self.relu(out)
2025-08-14T22:07:39.8796768Z 
2025-08-14T22:07:39.8796956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8797878Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8798818Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8799466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8800101Z     x = module(x)
2025-08-14T22:07:39.8800686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8801349Z     out = self.relu(out)
2025-08-14T22:07:39.8801538Z 
2025-08-14T22:07:39.8801721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8802637Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8803501Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8804154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8804788Z     x = module(x)
2025-08-14T22:07:39.8805372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8806037Z     out = self.relu(out)
2025-08-14T22:07:39.8806225Z 
2025-08-14T22:07:39.8806375Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8806794Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8807715Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8808582Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8809212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8809861Z     x = module(x)
2025-08-14T22:07:39.8810456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8811119Z     out = self.relu(out)
2025-08-14T22:07:39.8811307Z 
2025-08-14T22:07:39.8811487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8812409Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8813274Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8813906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8814545Z     x = module(x)
2025-08-14T22:07:39.8815125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8815782Z     out = self.relu(out)
2025-08-14T22:07:39.8815967Z 
2025-08-14T22:07:39.8816149Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8817116Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8817973Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8818605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8819254Z     x = module(x)
2025-08-14T22:07:39.8819831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8820493Z     out = self.relu(out)
2025-08-14T22:07:39.8820680Z 
2025-08-14T22:07:39.8820863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8821778Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8822727Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8823573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8824415Z     x = module(x)
2025-08-14T22:07:39.8825045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8825822Z     out = self.relu(out)
2025-08-14T22:07:39.8826020Z 
2025-08-14T22:07:39.8826212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8827182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8828096Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8828781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8829516Z     x = module(x)
2025-08-14T22:07:39.8830136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8830837Z     out = self.relu(out)
2025-08-14T22:07:39.8831042Z 
2025-08-14T22:07:39.8831238Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8832212Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8833134Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8833814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8834485Z     x = module(x)
2025-08-14T22:07:39.8835210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-08-14T22:07:39.8835891Z     out = self.relu(out)
2025-08-14T22:07:39.8836083Z 
2025-08-14T22:07:39.8836235Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8836662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8837612Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8838499Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8839147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8839813Z     x = module(x)
2025-08-14T22:07:39.8840408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8841087Z     out = self.relu(out)
2025-08-14T22:07:39.8841279Z 
2025-08-14T22:07:39.8841465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8842405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8843291Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8843941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8844694Z     x = module(x)
2025-08-14T22:07:39.8845336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8845997Z     out = self.relu(out)
2025-08-14T22:07:39.8846193Z 
2025-08-14T22:07:39.8846494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8847363Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8848181Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8848775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8849384Z     x = module(x)
2025-08-14T22:07:39.8849933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8850554Z     out = self.relu(out)
2025-08-14T22:07:39.8850732Z 
2025-08-14T22:07:39.8850912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8851777Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8852590Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8853878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8854544Z     x = module(x)
2025-08-14T22:07:39.8855147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8855830Z     out = self.relu(out)
2025-08-14T22:07:39.8856025Z 
2025-08-14T22:07:39.8856167Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8856607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8857555Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8858448Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8859100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8859762Z     x = module(x)
2025-08-14T22:07:39.8860362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8861030Z     out = self.relu(out)
2025-08-14T22:07:39.8861237Z 
2025-08-14T22:07:39.8861426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8862372Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8863550Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8864224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8864912Z     x = module(x)
2025-08-14T22:07:39.8865539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-08-14T22:07:39.8866224Z     out = self.relu(out)
2025-08-14T22:07:39.8866441Z 
2025-08-14T22:07:39.8866635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8867618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8868539Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8869208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8869898Z     x = module(x)
2025-08-14T22:07:39.8870519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8871209Z     out = self.relu(out)
2025-08-14T22:07:39.8871424Z 
2025-08-14T22:07:39.8871623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8872718Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 190, in forward
2025-08-14T22:07:39.8873639Z     feats = self.feat_extractor(x)
2025-08-14T22:07:39.8874423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/_utils.py", line 69, in forward
2025-08-14T22:07:39.8875194Z     x = module(x)
2025-08-14T22:07:39.8875781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-08-14T22:07:39.8876446Z     out = self.relu(out)
2025-08-14T22:07:39.8876635Z 
2025-08-14T22:07:39.8876773Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.8877207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8878127Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8878978Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8879816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8880808Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8881918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8882909Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8883302Z 
2025-08-14T22:07:39.8883487Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8884403Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8885261Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8886082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8887447Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8888493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8889539Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8889934Z 
2025-08-14T22:07:39.8890126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8891075Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8892030Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8892876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8893899Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8894941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8895983Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8896378Z 
2025-08-14T22:07:39.8896567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8897513Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8898397Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8899251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8900252Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8912663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8913865Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8914418Z 
2025-08-14T22:07:39.8914621Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8915586Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8916467Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8917332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8918356Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8919386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8920424Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8920835Z 
2025-08-14T22:07:39.8921029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8922044Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8923021Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8923853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8924915Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8925875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8926811Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8927191Z 
2025-08-14T22:07:39.8927369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8928238Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8929269Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8930090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8931079Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8932090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8933090Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8933471Z 
2025-08-14T22:07:39.8933661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8934577Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8935433Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8936269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in forward
2025-08-14T22:07:39.8937241Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8938244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 83, in <listcomp>
2025-08-14T22:07:39.8939240Z     _x: List[torch.Tensor] = [branch(t) for branch, t in zip(self.in_branches, x)]
2025-08-14T22:07:39.8939621Z 
2025-08-14T22:07:39.8939819Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8940778Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8941642Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8942472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-14T22:07:39.8943655Z     out.append(self.upsample(out[-1]) + t)
2025-08-14T22:07:39.8943939Z 
2025-08-14T22:07:39.8944137Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8945107Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8946017Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8946880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.8947927Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8955154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.8957096Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8957600Z 
2025-08-14T22:07:39.8957795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8958751Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8959643Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8960505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.8962956Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8963982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.8964990Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8965346Z 
2025-08-14T22:07:39.8965551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8966492Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8967490Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8968322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-14T22:07:39.8969194Z     out.append(self.upsample(out[-1]) + t)
2025-08-14T22:07:39.8969449Z 
2025-08-14T22:07:39.8969635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8970550Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8971412Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8972231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.8973197Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8974167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.8975136Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8975479Z 
2025-08-14T22:07:39.8975663Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8976579Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8977442Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8978390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.8979339Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8980315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.8981286Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8981627Z 
2025-08-14T22:07:39.8981829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8983398Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8984670Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8985557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 86, in forward
2025-08-14T22:07:39.8986492Z     out.append(self.upsample(out[-1]) + t)
2025-08-14T22:07:39.8986764Z 
2025-08-14T22:07:39.8986959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8987928Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8988919Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8989801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.8990807Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8991841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.8992869Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8993233Z 
2025-08-14T22:07:39.8993448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.8994517Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.8995410Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.8996329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.8997216Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8998132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.8999047Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.8999370Z 
2025-08-14T22:07:39.8999558Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9000414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.9001227Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.9002017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.9002920Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.9003819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.9004733Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.9005068Z 
2025-08-14T22:07:39.9005244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9006113Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 193, in forward
2025-08-14T22:07:39.9006979Z     feat_concat = self.fpn(feats)
2025-08-14T22:07:39.9007767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in forward
2025-08-14T22:07:39.9008675Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.9009589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 89, in <listcomp>
2025-08-14T22:07:39.9010495Z     out = [branch(t) for branch, t in zip(self.out_branches, out[::-1])]
2025-08-14T22:07:39.9010835Z 
2025-08-14T22:07:39.9010966Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.9016100Z cudagraph partition due to non gpu ops
2025-08-14T22:07:39.9016554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9017495Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:07:39.9018402Z     logits = self.prob_head(feat_concat)
2025-08-14T22:07:39.9018658Z 
2025-08-14T22:07:39.9018863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9019793Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:07:39.9020771Z     logits = self.prob_head(feat_concat)
2025-08-14T22:07:39.9021043Z 
2025-08-14T22:07:39.9021233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9022177Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:07:39.9023329Z     logits = self.prob_head(feat_concat)
2025-08-14T22:07:39.9023604Z 
2025-08-14T22:07:39.9023800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9024782Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:07:39.9025707Z     logits = self.prob_head(feat_concat)
2025-08-14T22:07:39.9025967Z 
2025-08-14T22:07:39.9026163Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9027147Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:07:39.9028066Z     logits = self.prob_head(feat_concat)
2025-08-14T22:07:39.9028326Z 
2025-08-14T22:07:39.9028530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:39.9029486Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/differentiable_binarization/pytorch.py", line 194, in forward
2025-08-14T22:07:39.9030405Z     logits = self.prob_head(feat_concat)
2025-08-14T22:07:39.9030665Z 
2025-08-14T22:07:39.9030818Z cudagraph partition due to non gpu ops
2025-08-14T22:07:54.5556471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:07:54.5557346Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/detection/core.py", line 95, in __call__
2025-08-14T22:07:54.5558141Z     for bmap in (proba_map >= self.bin_thresh).astype(np.uint8)
2025-08-14T22:07:54.5558514Z 
2025-08-14T22:07:56.9343059Z Compilation time (from dynamo_timed): 41.467486344
2025-08-14T22:07:56.9343748Z pass
2025-08-14T22:07:56.9347329Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:07:56.9349088Z TIMING: gc:0.00717 entire_frame_compile:41.46749 _recursive_pre_grad_passes:0.06943 _recursive_joint_graph_passes:0.29141 _recursive_post_grad_passes:0.10478 async_compile.wait:1.4964 code_gen:12.88631 inductor_compile:16.1216 backend_compile:28.34064 total_wall_time:41.46749
2025-08-14T22:07:56.9350936Z STATS: call_* op count: 230 | FakeTensorMode.__torch_dispatch__:31666 | FakeTensor.__torch_dispatch__:3054 | ProxyTorchDispatchMode.__torch_dispatch__:7017
2025-08-14T22:07:56.9352208Z Dynamo produced 4 graphs covering 230 ops with 5 graph breaks (2 unique)
2025-08-14T22:08:02.2448801Z 
2025-08-14T22:08:06.5847627Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:08:06.5848176Z loading model: 0it [00:04, ?it/s]
2025-08-14T22:08:06.5861059Z cpu  eval  doctr_reco_predictor               
2025-08-14T22:08:06.9604814Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:07.0266777Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:07.0867447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:15.4121905Z cudagraph partition due to non gpu ops
2025-08-14T22:08:15.4122471Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4123337Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4124170Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4124435Z 
2025-08-14T22:08:15.4124649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4125471Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4126672Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4126934Z 
2025-08-14T22:08:15.4127131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4127957Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4128721Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4128978Z 
2025-08-14T22:08:15.4129165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4129990Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4130762Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4131016Z 
2025-08-14T22:08:15.4131205Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4132031Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4132810Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4133053Z 
2025-08-14T22:08:15.4133240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4134074Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4134833Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4135090Z 
2025-08-14T22:08:15.4135278Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4136099Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4136906Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4137149Z 
2025-08-14T22:08:15.4137354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4138166Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4138946Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4139189Z 
2025-08-14T22:08:15.4139388Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4140207Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4140964Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4141220Z 
2025-08-14T22:08:15.4141407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4146215Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4147049Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4147354Z 
2025-08-14T22:08:15.4147728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4148592Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4149401Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4149653Z 
2025-08-14T22:08:15.4149848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4150700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4151498Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4151750Z 
2025-08-14T22:08:15.4151954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4152786Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4154049Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4154303Z 
2025-08-14T22:08:15.4154522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4155474Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4156254Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4156632Z 
2025-08-14T22:08:15.4156821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4157647Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4158410Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4158664Z 
2025-08-14T22:08:15.4158850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4159672Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4160448Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4160692Z 
2025-08-14T22:08:15.4160884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4161708Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4162479Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4162728Z 
2025-08-14T22:08:15.4162913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4163731Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4164501Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4164743Z 
2025-08-14T22:08:15.4164941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4165748Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4166513Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4166769Z 
2025-08-14T22:08:15.4166956Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4167783Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4168544Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4168805Z 
2025-08-14T22:08:15.4168990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4169810Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4170582Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4170824Z 
2025-08-14T22:08:15.4171010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4171829Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4172603Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4172845Z 
2025-08-14T22:08:15.4173032Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4173937Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4174714Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4174956Z 
2025-08-14T22:08:15.4175161Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4175966Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4176736Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4176979Z 
2025-08-14T22:08:15.4177182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4177998Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4178757Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4179010Z 
2025-08-14T22:08:15.4179197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4180025Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4180781Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4181037Z 
2025-08-14T22:08:15.4181224Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4182106Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4182977Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4183224Z 
2025-08-14T22:08:15.4183414Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4184429Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4185225Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4185475Z 
2025-08-14T22:08:15.4185682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4186522Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4187319Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4187567Z 
2025-08-14T22:08:15.4187772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:15.4188606Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 206, in forward
2025-08-14T22:08:15.4189397Z     features = self.feat_extractor(x)
2025-08-14T22:08:15.4189662Z 
2025-08-14T22:08:15.4189804Z cudagraph partition due to non gpu ops
2025-08-14T22:08:19.8975658Z E0814 22:08:19.896521 14054 site-packages/torch/fx/experimental/recording.py:315] [2/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-14T22:08:20.0155454Z E0814 22:08:20.014841 14054 site-packages/torch/fx/experimental/recording.py:315] [3/0] failed while running evaluate_expr(*(u0, None, u0, False, False, False, None), **{})
2025-08-14T22:08:20.2206967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:20.2207876Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/doctr/models/recognition/crnn/pytorch.py", line 75, in ctc_best_path
2025-08-14T22:08:20.2208800Z     probs = F.softmax(logits, dim=-1).max(dim=-1).values.min(dim=1).values
2025-08-14T22:08:20.2209190Z 
2025-08-14T22:08:21.4892117Z Compilation time (from dynamo_timed): 12.987135116
2025-08-14T22:08:21.4892627Z pass
2025-08-14T22:08:21.4898916Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:21.4900530Z TIMING: gc:0.00362 entire_frame_compile:12.98714 _recursive_pre_grad_passes:0.01924 _recursive_joint_graph_passes:0.42201 _recursive_post_grad_passes:0.04094 async_compile.wait:1.60984 code_gen:5.14048 inductor_compile:7.24826 backend_compile:10.14205 total_wall_time:12.98714
2025-08-14T22:08:21.4902721Z STATS: call_* op count: 56 | FakeTensorMode.__torch_dispatch__:6531 | FakeTensor.__torch_dispatch__:518 | ProxyTorchDispatchMode.__torch_dispatch__:1380
2025-08-14T22:08:21.4903917Z Dynamo produced 2 graphs covering 56 ops with 4 graph breaks (3 unique)
2025-08-14T22:08:26.5019177Z 
2025-08-14T22:08:26.5826023Z loading model: 0it [00:00, ?it/s]Gym has been unmaintained since 2022 and does not support NumPy 2.0 amongst other critical functionality.
2025-08-14T22:08:26.5827347Z Please upgrade to Gymnasium, the maintained drop-in replacement of Gym, or contact the authors of your software and request that they upgrade.
2025-08-14T22:08:26.5828588Z Users of this version of Gym should be able to simply replace 'import gym' with 'import gymnasium as gym' in the vast majority of cases.
2025-08-14T22:08:26.5829889Z See the migration guide at https://gymnasium.farama.org/introduction/migration_guide/ for additional information.
2025-08-14T22:08:27.3578715Z 
2025-08-14T22:08:27.3579229Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:08:27.3581817Z cpu  eval  drq                                
2025-08-14T22:08:27.3718485Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:27.3789909Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:27.3858843Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:32.1439906Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1440691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1441332Z     return mod(*inputs)
2025-08-14T22:08:32.1441808Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1442387Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1442970Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1443571Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1444120Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-14T22:08:32.1444691Z     conv = torch.relu(self.convs[0](obs))
2025-08-14T22:08:32.1444952Z 
2025-08-14T22:08:32.1445144Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1445865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1446505Z     return mod(*inputs)
2025-08-14T22:08:32.1446963Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1447511Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1448062Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1448587Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1449085Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-14T22:08:32.1449648Z     conv = torch.relu(self.convs[0](obs))
2025-08-14T22:08:32.1449905Z 
2025-08-14T22:08:32.1450115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1450819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1451440Z     return mod(*inputs)
2025-08-14T22:08:32.1451897Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1452463Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1453004Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1454020Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1454540Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:32.1455097Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:32.1455397Z 
2025-08-14T22:08:32.1455589Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1456294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1456930Z     return mod(*inputs)
2025-08-14T22:08:32.1457689Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1458247Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1458803Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1459338Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1459839Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:32.1460406Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:32.1460679Z 
2025-08-14T22:08:32.1460872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1461573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1462195Z     return mod(*inputs)
2025-08-14T22:08:32.1462761Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1463502Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1464061Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1464601Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1465128Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:32.1465847Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:32.1466113Z 
2025-08-14T22:08:32.1466312Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1467041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1467702Z     return mod(*inputs)
2025-08-14T22:08:32.1468162Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1468743Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1469313Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1469852Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1470373Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:32.1470954Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:32.1471219Z 
2025-08-14T22:08:32.1471426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1472138Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1472794Z     return mod(*inputs)
2025-08-14T22:08:32.1473261Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1473837Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1474501Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1475023Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1475536Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:32.1476087Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:32.1476354Z 
2025-08-14T22:08:32.1476548Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1477247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1477883Z     return mod(*inputs)
2025-08-14T22:08:32.1478330Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:32.1478892Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:32.1479442Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:32.1479953Z     h = self.forward_conv(obs)
2025-08-14T22:08:32.1480463Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:32.1481028Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:32.1481302Z 
2025-08-14T22:08:32.1481444Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1481832Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1482218Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1482586Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1483093Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1483801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1484436Z     return mod(*inputs)
2025-08-14T22:08:32.1484899Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:08:32.1485460Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:08:32.1485740Z 
2025-08-14T22:08:32.1485895Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1486324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1487027Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1487664Z     return mod(*inputs)
2025-08-14T22:08:32.1488110Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:08:32.1488667Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:08:32.1488958Z 
2025-08-14T22:08:32.1489101Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1489494Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1489866Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1490314Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1490848Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1491299Z cudagraph partition due to non gpu ops
2025-08-14T22:08:32.1491738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:32.1492443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:32.1493068Z     return mod(*inputs)
2025-08-14T22:08:32.1493525Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:08:32.1494079Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:08:32.1494353Z 
2025-08-14T22:08:36.9962754Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9963672Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9964407Z     return mod(*inputs)
2025-08-14T22:08:36.9964956Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9965539Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:36.9966249Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:36.9966776Z     h = self.forward_conv(obs)
2025-08-14T22:08:36.9967401Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-14T22:08:36.9967973Z     conv = torch.relu(self.convs[0](obs))
2025-08-14T22:08:36.9968323Z 
2025-08-14T22:08:36.9968539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9969242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9969994Z     return mod(*inputs)
2025-08-14T22:08:36.9970462Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9971129Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:36.9971674Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:36.9972213Z     h = self.forward_conv(obs)
2025-08-14T22:08:36.9972725Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 43, in forward_conv
2025-08-14T22:08:36.9973295Z     conv = torch.relu(self.convs[0](obs))
2025-08-14T22:08:36.9973551Z 
2025-08-14T22:08:36.9973745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9974446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9975086Z     return mod(*inputs)
2025-08-14T22:08:36.9975534Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9976092Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:36.9976694Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:36.9977548Z     h = self.forward_conv(obs)
2025-08-14T22:08:36.9978055Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:36.9978623Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:36.9978890Z 
2025-08-14T22:08:36.9979134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9979834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9980462Z     return mod(*inputs)
2025-08-14T22:08:36.9980923Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9981488Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:36.9982044Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:36.9982557Z     h = self.forward_conv(obs)
2025-08-14T22:08:36.9985803Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:36.9986410Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:36.9986680Z 
2025-08-14T22:08:36.9986876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9987604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9988391Z     return mod(*inputs)
2025-08-14T22:08:36.9988868Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9989433Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:36.9990007Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:36.9990546Z     h = self.forward_conv(obs)
2025-08-14T22:08:36.9991066Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:36.9991654Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:36.9991918Z 
2025-08-14T22:08:36.9992124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9992852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9993493Z     return mod(*inputs)
2025-08-14T22:08:36.9993966Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9994543Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:36.9995219Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:36.9995739Z     h = self.forward_conv(obs)
2025-08-14T22:08:36.9996251Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:36.9996803Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:36.9997073Z 
2025-08-14T22:08:36.9997260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:36.9997957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:36.9998593Z     return mod(*inputs)
2025-08-14T22:08:36.9999038Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:36.9999597Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:37.0000147Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:37.0000660Z     h = self.forward_conv(obs)
2025-08-14T22:08:37.0001169Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:37.0001734Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:37.0001989Z 
2025-08-14T22:08:37.0002188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:37.0002875Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:37.0003507Z     return mod(*inputs)
2025-08-14T22:08:37.0003965Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 97, in forward
2025-08-14T22:08:37.0004512Z     obs = self.encoder(obs, detach=detach_encoder)
2025-08-14T22:08:37.0005062Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 56, in forward
2025-08-14T22:08:37.0005651Z     h = self.forward_conv(obs)
2025-08-14T22:08:37.0006165Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 47, in forward_conv
2025-08-14T22:08:37.0006717Z     conv = torch.relu(self.convs[i](conv))
2025-08-14T22:08:37.0006994Z 
2025-08-14T22:08:37.0007134Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0007521Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0007892Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0008280Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0008717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:37.0009408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:37.0010040Z     return mod(*inputs)
2025-08-14T22:08:37.0010499Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:08:37.0011059Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:08:37.0011337Z 
2025-08-14T22:08:37.0011483Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0011922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:37.0012626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:37.0013310Z     return mod(*inputs)
2025-08-14T22:08:37.0013765Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:08:37.0014321Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:08:37.0014594Z 
2025-08-14T22:08:37.0014749Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0015121Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0015513Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0015896Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0016266Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0016650Z cudagraph partition due to non gpu ops
2025-08-14T22:08:37.0017081Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:37.0017776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:37.0018414Z     return mod(*inputs)
2025-08-14T22:08:37.0018870Z   File "/torchbench/torchbenchmark/models/drq/drq.py", line 99, in forward
2025-08-14T22:08:37.0019430Z     mu, log_std = self.trunk(obs).chunk(2, dim=-1)
2025-08-14T22:08:37.0019704Z 
2025-08-14T22:08:37.3603089Z Compilation time (from dynamo_timed): 8.672822118
2025-08-14T22:08:37.3603841Z pass
2025-08-14T22:08:37.3612835Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:37.3615963Z TIMING: _recursive_pre_grad_passes:0.01529 _recursive_joint_graph_passes:0.21095 _recursive_post_grad_passes:0.24309 async_compile.wait:0.92818 code_gen:4.1997 inductor_compile:6.58615 backend_compile:7.74975 gc:0.00224 entire_frame_compile:8.67282 total_wall_time:8.67282
2025-08-14T22:08:37.3619479Z STATS: call_* op count: 58 | FakeTensor.__torch_dispatch__:421 | FakeTensorMode.__torch_dispatch__:3232 | ProxyTorchDispatchMode.__torch_dispatch__:627
2025-08-14T22:08:37.3621374Z Dynamo produced 2 graphs covering 58 ops with 0 graph breaks (0 unique)
2025-08-14T22:08:42.2221986Z 
2025-08-14T22:08:44.4944434Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:08:44.4944890Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:08:44.4961074Z cpu  eval  fastNLP_Bert                       
2025-08-14T22:08:46.3669267Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:47.2626921Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:48.1748119Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:08:49.5362568Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:08:49.5364130Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:08:49.5365112Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T22:08:49.5366081Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:08:49.5367228Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T22:08:49.5368186Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:08:49.5369064Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T22:08:49.5370408Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:08:49.5371698Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(*inputs)
2025-08-14T22:08:49.5373012Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/models/bert.py", line 265, in forward
2025-08-14T22:08:49.5374603Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     sequence_output = self.bert(words)
2025-08-14T22:08:49.5376002Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 137, in forward
2025-08-14T22:08:49.5377389Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.model(words)
2025-08-14T22:08:49.5378786Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-08-14T22:08:49.5381207Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-08-14T22:08:49.5382346Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:08:49.5383348Z W0814 22:08:49.535507 15420 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:08:52.2242665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:52.2243574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 445, in forward
2025-08-14T22:08:52.2244990Z     max_word_piece_length = batch_word_pieces_length.sum(dim=-1).max().item()  # 表示word piece的长度(包括padding)
2025-08-14T22:08:52.2245524Z 
2025-08-14T22:08:52.2245760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:08:52.2246576Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 441, in forward
2025-08-14T22:08:52.2247344Z     seq_len = word_mask.sum(dim=-1)
2025-08-14T22:08:52.2247582Z 
2025-08-14T22:09:07.7764915Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7765982Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 512, in forward
2025-08-14T22:09:07.7767173Z     embedding_output = self.embeddings(input_ids, token_type_ids)
2025-08-14T22:09:07.7768208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 242, in forward
2025-08-14T22:09:07.7769345Z     embeddings = words_embeddings + position_embeddings + token_type_embeddings
2025-08-14T22:09:07.7769937Z 
2025-08-14T22:09:07.7770089Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7771112Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7771600Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7772064Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7772523Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7772996Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7773530Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7774129Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7774577Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7775039Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7775600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7776583Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7777512Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7778452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7779508Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7780802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7782047Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7783289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7784334Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7785299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7786241Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7786651Z 
2025-08-14T22:09:07.7786824Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7787334Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7787852Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7788327Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7788818Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7789276Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7789796Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7790305Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7790810Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7791294Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7791744Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7792331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7793316Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7794411Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7795339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7796306Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7797257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7798228Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7799200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7800149Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7801126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7802024Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7802344Z 
2025-08-14T22:09:07.7802490Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7802884Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7803334Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7803955Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7804440Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7804965Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7805428Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7805923Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7806431Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7806884Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7807265Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7807765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7808563Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7809494Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7810251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7811055Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7811832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7812643Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7813605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7814391Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7815143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7815889Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7816187Z 
2025-08-14T22:09:07.7816349Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7816732Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7817118Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7817502Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7817898Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7818272Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7818652Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7819043Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7819413Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7819795Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7820181Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7820606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7821380Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7822139Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7823163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7823973Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7824802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7825633Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7826450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7827262Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7828046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7828811Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7829124Z 
2025-08-14T22:09:07.7829272Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7829676Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7830080Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7830470Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7830942Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7831346Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7831803Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7832199Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7832591Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7832988Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7833386Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7833848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7834733Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7835495Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7836258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7837046Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7837843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7838658Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7839516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7840294Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7841062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7841807Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7842105Z 
2025-08-14T22:09:07.7842262Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7842644Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7843035Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7843421Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7843804Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7844189Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7844575Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7844950Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7845337Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7845715Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7846088Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7846523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7847292Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7848045Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7848781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7849571Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7850364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7851156Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7851956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7852747Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7853977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7854727Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7855044Z 
2025-08-14T22:09:07.7855186Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7855577Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7855968Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7856338Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7856720Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7857253Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7857632Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7868595Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7869052Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7869485Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7869871Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7870334Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7871235Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7880468Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7881238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7882042Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7882836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7883644Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7884442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7885405Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7886156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7886913Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7887220Z 
2025-08-14T22:09:07.7887380Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7887767Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7888157Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7888548Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7888931Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7889308Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7889701Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7890085Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7890453Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7890847Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7891228Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7891755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7892505Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7893363Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7894052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7894769Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7895498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7896235Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7896961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7897682Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7898376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7899057Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7899338Z 
2025-08-14T22:09:07.7899472Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7899837Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7900200Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7900541Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7900894Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7901254Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7901671Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7902017Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7902377Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7902826Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7903368Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7903898Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7904698Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7905469Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7906257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7907077Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7907896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7908720Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7909540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7910415Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7911196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7911944Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7912265Z 
2025-08-14T22:09:07.7912415Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7912818Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7913206Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7913603Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7913996Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7914377Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7914782Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7915383Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7915733Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7916076Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7916433Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7916834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7917536Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7918226Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7918912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7919639Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7920354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7921093Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7921986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7922735Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7923482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7924209Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7924503Z 
2025-08-14T22:09:07.7924657Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7925027Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7925406Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7925785Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7926143Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7926519Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7926891Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7927313Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7927692Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7928067Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7928444Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7928871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7929626Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7930366Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7931087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7931858Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7932625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7933602Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7936670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7937459Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7938294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7939025Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7939339Z 
2025-08-14T22:09:07.7939484Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7939876Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7940264Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7940639Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7941027Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7941411Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7941783Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7942168Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7942552Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7943186Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7943581Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7944046Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7944846Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 513, in forward
2025-08-14T22:09:07.7945603Z     encoded_layers = self.encoder(embedding_output,
2025-08-14T22:09:07.7946379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 384, in forward
2025-08-14T22:09:07.7947198Z     hidden_states = layer_module(hidden_states, attention_mask)
2025-08-14T22:09:07.7947995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 363, in forward
2025-08-14T22:09:07.7948821Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:09:07.7949648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 336, in forward
2025-08-14T22:09:07.7950452Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:09:07.7951224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 150, in gelu
2025-08-14T22:09:07.7951988Z     return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
2025-08-14T22:09:07.7952307Z 
2025-08-14T22:09:07.7952450Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7952854Z cudagraph partition due to non gpu ops
2025-08-14T22:09:07.7953799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:07.7954607Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 518, in forward
2025-08-14T22:09:07.7955473Z     pooled_output = self.pooler(sequence_output)
2025-08-14T22:09:07.7956345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/modules/encoder/bert.py", line 405, in forward
2025-08-14T22:09:07.7957103Z     pooled_output = self.activation(pooled_output)
2025-08-14T22:09:07.7957410Z 
2025-08-14T22:09:12.7621340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:12.7622519Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/bert_embedding.py", line 140, in torch_dynamo_resume_in_forward_at_137
2025-08-14T22:09:12.7623740Z     return self.dropout(outputs)
2025-08-14T22:09:12.7624477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/embeddings/embedding.py", line 160, in dropout
2025-08-14T22:09:12.7625207Z     return self.dropout_layer(words)
2025-08-14T22:09:12.7625476Z 
2025-08-14T22:09:13.6656030Z cudagraph partition due to non gpu ops
2025-08-14T22:09:13.6656559Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:13.6657440Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastNLP/models/bert.py", line 266, in torch_dynamo_resume_in_forward_at_265
2025-08-14T22:09:13.6658448Z     logits = self.qa_outputs(sequence_output)  # [batch_size, seq_len, num_labels]
2025-08-14T22:09:13.6658877Z 
2025-08-14T22:09:15.0431330Z Compilation time (from dynamo_timed): 24.355981086
2025-08-14T22:09:15.0432122Z pass
2025-08-14T22:09:15.0432658Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:15.0434286Z TIMING: gc:0.00768 entire_frame_compile:24.35598 _recursive_pre_grad_passes:0.06389 _recursive_joint_graph_passes:0.77913 _recursive_post_grad_passes:0.1091 async_compile.wait:3.0341 code_gen:8.85716 inductor_compile:12.73305 backend_compile:20.1475 total_wall_time:24.35598
2025-08-14T22:09:15.0436271Z STATS: call_* op count: 440 | FakeTensorMode.__torch_dispatch__:27088 | ProxyTorchDispatchMode.__torch_dispatch__:6224 | FakeTensor.__torch_dispatch__:3780
2025-08-14T22:09:15.0437281Z Dynamo produced 4 graphs covering 440 ops with 4 graph breaks (1 unique)
2025-08-14T22:09:20.1929437Z 
2025-08-14T22:09:20.7010228Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:09:20.7010739Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:09:20.7015332Z cpu  eval  functorch_dp_cifar10               
2025-08-14T22:09:20.7564623Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:20.7867645Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:20.8171159Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:29.8982209Z cudagraph partition due to non gpu ops
2025-08-14T22:09:29.8982929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.8983890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.8984558Z     return mod(*inputs)
2025-08-14T22:09:29.8985251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.8985978Z     return self._forward_impl(x)
2025-08-14T22:09:29.8986686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-14T22:09:29.8987435Z     x = self.conv1(x)
2025-08-14T22:09:29.8987628Z 
2025-08-14T22:09:29.8987843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.8988572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.8989222Z     return mod(*inputs)
2025-08-14T22:09:29.8989873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.8990589Z     return self._forward_impl(x)
2025-08-14T22:09:29.8991304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-08-14T22:09:29.8992038Z     x = self.conv1(x)
2025-08-14T22:09:29.8992226Z 
2025-08-14T22:09:29.8992727Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.8993474Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.8994122Z     return mod(*inputs)
2025-08-14T22:09:29.8994874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.8995576Z     return self._forward_impl(x)
2025-08-14T22:09:29.8996260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-08-14T22:09:29.8996969Z     x = self.relu(x)
2025-08-14T22:09:29.8997165Z 
2025-08-14T22:09:29.8997356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.8998064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.8998687Z     return mod(*inputs)
2025-08-14T22:09:29.8999320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9000018Z     return self._forward_impl(x)
2025-08-14T22:09:29.9000700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-08-14T22:09:29.9001534Z     x = self.maxpool(x)
2025-08-14T22:09:29.9001737Z 
2025-08-14T22:09:29.9001934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9002643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9003270Z     return mod(*inputs)
2025-08-14T22:09:29.9003894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9004590Z     return self._forward_impl(x)
2025-08-14T22:09:29.9005272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9005983Z     x = self.layer1(x)
2025-08-14T22:09:29.9006605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9007275Z     out = self.conv1(x)
2025-08-14T22:09:29.9007460Z 
2025-08-14T22:09:29.9007651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9008360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9008992Z     return mod(*inputs)
2025-08-14T22:09:29.9009602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9010296Z     return self._forward_impl(x)
2025-08-14T22:09:29.9010992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9011699Z     x = self.layer1(x)
2025-08-14T22:09:29.9012295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9012969Z     out = self.conv1(x)
2025-08-14T22:09:29.9013154Z 
2025-08-14T22:09:29.9013352Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9014043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9014682Z     return mod(*inputs)
2025-08-14T22:09:29.9015302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9015993Z     return self._forward_impl(x)
2025-08-14T22:09:29.9016672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9017382Z     x = self.layer1(x)
2025-08-14T22:09:29.9017993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9018652Z     out = self.relu(out)
2025-08-14T22:09:29.9018861Z 
2025-08-14T22:09:29.9019052Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9019833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9020474Z     return mod(*inputs)
2025-08-14T22:09:29.9021084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9021782Z     return self._forward_impl(x)
2025-08-14T22:09:29.9022477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9023691Z     x = self.layer1(x)
2025-08-14T22:09:29.9024325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9025079Z     out = self.conv2(out)
2025-08-14T22:09:29.9025296Z 
2025-08-14T22:09:29.9025502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9026213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9026872Z     return mod(*inputs)
2025-08-14T22:09:29.9027512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9028212Z     return self._forward_impl(x)
2025-08-14T22:09:29.9029022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9029755Z     x = self.layer1(x)
2025-08-14T22:09:29.9030392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9031081Z     out = self.conv2(out)
2025-08-14T22:09:29.9031299Z 
2025-08-14T22:09:29.9031606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9032331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9032990Z     return mod(*inputs)
2025-08-14T22:09:29.9033629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9034341Z     return self._forward_impl(x)
2025-08-14T22:09:29.9035169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9035869Z     x = self.layer1(x)
2025-08-14T22:09:29.9036484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9037160Z     out = self.relu(out)
2025-08-14T22:09:29.9037353Z 
2025-08-14T22:09:29.9037554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9038235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9038870Z     return mod(*inputs)
2025-08-14T22:09:29.9039486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9040161Z     return self._forward_impl(x)
2025-08-14T22:09:29.9040858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9041564Z     x = self.layer1(x)
2025-08-14T22:09:29.9042173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9042832Z     out = self.conv1(x)
2025-08-14T22:09:29.9043029Z 
2025-08-14T22:09:29.9043215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9043915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9044536Z     return mod(*inputs)
2025-08-14T22:09:29.9045157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9045846Z     return self._forward_impl(x)
2025-08-14T22:09:29.9046532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9047225Z     x = self.layer1(x)
2025-08-14T22:09:29.9047905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9048577Z     out = self.conv1(x)
2025-08-14T22:09:29.9048769Z 
2025-08-14T22:09:29.9048957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9049660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9050298Z     return mod(*inputs)
2025-08-14T22:09:29.9050918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9051591Z     return self._forward_impl(x)
2025-08-14T22:09:29.9052286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9052996Z     x = self.layer1(x)
2025-08-14T22:09:29.9054053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9054738Z     out = self.relu(out)
2025-08-14T22:09:29.9054946Z 
2025-08-14T22:09:29.9055136Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9055842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9056594Z     return mod(*inputs)
2025-08-14T22:09:29.9057218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9057919Z     return self._forward_impl(x)
2025-08-14T22:09:29.9058601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9059310Z     x = self.layer1(x)
2025-08-14T22:09:29.9059918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9060593Z     out = self.conv2(out)
2025-08-14T22:09:29.9060792Z 
2025-08-14T22:09:29.9060983Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9061688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9062324Z     return mod(*inputs)
2025-08-14T22:09:29.9063208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9063923Z     return self._forward_impl(x)
2025-08-14T22:09:29.9064640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9065373Z     x = self.layer1(x)
2025-08-14T22:09:29.9065995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9066695Z     out = self.conv2(out)
2025-08-14T22:09:29.9066901Z 
2025-08-14T22:09:29.9067107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9067825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9068476Z     return mod(*inputs)
2025-08-14T22:09:29.9069116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9069830Z     return self._forward_impl(x)
2025-08-14T22:09:29.9070530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-08-14T22:09:29.9071260Z     x = self.layer1(x)
2025-08-14T22:09:29.9071890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9072575Z     out = self.relu(out)
2025-08-14T22:09:29.9072785Z 
2025-08-14T22:09:29.9072978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9073697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9074458Z     return mod(*inputs)
2025-08-14T22:09:29.9075294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9075971Z     return self._forward_impl(x)
2025-08-14T22:09:29.9076646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9077327Z     x = self.layer2(x)
2025-08-14T22:09:29.9077919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9078571Z     out = self.conv1(x)
2025-08-14T22:09:29.9078751Z 
2025-08-14T22:09:29.9078948Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9079619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9080238Z     return mod(*inputs)
2025-08-14T22:09:29.9080840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9081497Z     return self._forward_impl(x)
2025-08-14T22:09:29.9082173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9082857Z     x = self.layer2(x)
2025-08-14T22:09:29.9083448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9084144Z     out = self.conv1(x)
2025-08-14T22:09:29.9084335Z 
2025-08-14T22:09:29.9084517Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9085194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9086243Z     return mod(*inputs)
2025-08-14T22:09:29.9086854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9087543Z     return self._forward_impl(x)
2025-08-14T22:09:29.9088237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9088939Z     x = self.layer2(x)
2025-08-14T22:09:29.9089561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9090235Z     out = self.relu(out)
2025-08-14T22:09:29.9090434Z 
2025-08-14T22:09:29.9090634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9091320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9091956Z     return mod(*inputs)
2025-08-14T22:09:29.9092578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9093253Z     return self._forward_impl(x)
2025-08-14T22:09:29.9093941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9094644Z     x = self.layer2(x)
2025-08-14T22:09:29.9095258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9095918Z     out = self.conv2(out)
2025-08-14T22:09:29.9096130Z 
2025-08-14T22:09:29.9096314Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9097018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9097639Z     return mod(*inputs)
2025-08-14T22:09:29.9098258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9098945Z     return self._forward_impl(x)
2025-08-14T22:09:29.9099636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9100328Z     x = self.layer2(x)
2025-08-14T22:09:29.9100932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9101605Z     out = self.conv2(out)
2025-08-14T22:09:29.9101802Z 
2025-08-14T22:09:29.9102064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9102866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9103693Z     return mod(*inputs)
2025-08-14T22:09:29.9104334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9105031Z     return self._forward_impl(x)
2025-08-14T22:09:29.9105749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9106478Z     x = self.layer2(x)
2025-08-14T22:09:29.9107093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:09:29.9107806Z     identity = self.downsample(x)
2025-08-14T22:09:29.9108045Z 
2025-08-14T22:09:29.9108244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9108985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9109642Z     return mod(*inputs)
2025-08-14T22:09:29.9110271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9111056Z     return self._forward_impl(x)
2025-08-14T22:09:29.9111773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9112490Z     x = self.layer2(x)
2025-08-14T22:09:29.9113126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:09:29.9113848Z     identity = self.downsample(x)
2025-08-14T22:09:29.9114087Z 
2025-08-14T22:09:29.9114400Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9115210Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9115800Z     return mod(*inputs)
2025-08-14T22:09:29.9116381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9117008Z     return self._forward_impl(x)
2025-08-14T22:09:29.9117652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9118306Z     x = self.layer2(x)
2025-08-14T22:09:29.9118873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9119488Z     out = self.relu(out)
2025-08-14T22:09:29.9119681Z 
2025-08-14T22:09:29.9119857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9120506Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9121081Z     return mod(*inputs)
2025-08-14T22:09:29.9121656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9122302Z     return self._forward_impl(x)
2025-08-14T22:09:29.9122945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9123592Z     x = self.layer2(x)
2025-08-14T22:09:29.9124152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9124765Z     out = self.conv1(x)
2025-08-14T22:09:29.9124933Z 
2025-08-14T22:09:29.9125106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9125744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9126323Z     return mod(*inputs)
2025-08-14T22:09:29.9126889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9127507Z     return self._forward_impl(x)
2025-08-14T22:09:29.9128203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9128851Z     x = self.layer2(x)
2025-08-14T22:09:29.9129397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9130190Z     out = self.conv1(x)
2025-08-14T22:09:29.9130383Z 
2025-08-14T22:09:29.9130565Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9131244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9131847Z     return mod(*inputs)
2025-08-14T22:09:29.9132453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9133121Z     return self._forward_impl(x)
2025-08-14T22:09:29.9133777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9134463Z     x = self.layer2(x)
2025-08-14T22:09:29.9135062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9135716Z     out = self.relu(out)
2025-08-14T22:09:29.9135903Z 
2025-08-14T22:09:29.9136187Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9136872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9137496Z     return mod(*inputs)
2025-08-14T22:09:29.9138089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9138768Z     return self._forward_impl(x)
2025-08-14T22:09:29.9139447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9140140Z     x = self.layer2(x)
2025-08-14T22:09:29.9140724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9141381Z     out = self.conv2(out)
2025-08-14T22:09:29.9141572Z 
2025-08-14T22:09:29.9141766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9142446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9143321Z     return mod(*inputs)
2025-08-14T22:09:29.9143969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9144679Z     return self._forward_impl(x)
2025-08-14T22:09:29.9145387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9146118Z     x = self.layer2(x)
2025-08-14T22:09:29.9146748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9147442Z     out = self.conv2(out)
2025-08-14T22:09:29.9147645Z 
2025-08-14T22:09:29.9147839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9155058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9156745Z     return mod(*inputs)
2025-08-14T22:09:29.9158057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9158758Z     return self._forward_impl(x)
2025-08-14T22:09:29.9159455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-08-14T22:09:29.9160167Z     x = self.layer2(x)
2025-08-14T22:09:29.9160772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9161452Z     out = self.relu(out)
2025-08-14T22:09:29.9161646Z 
2025-08-14T22:09:29.9161844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9162534Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9163312Z     return mod(*inputs)
2025-08-14T22:09:29.9163940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9164628Z     return self._forward_impl(x)
2025-08-14T22:09:29.9165312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9166020Z     x = self.layer3(x)
2025-08-14T22:09:29.9166715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9167319Z     out = self.conv1(x)
2025-08-14T22:09:29.9167504Z 
2025-08-14T22:09:29.9167678Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9168326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9168915Z     return mod(*inputs)
2025-08-14T22:09:29.9169477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9170109Z     return self._forward_impl(x)
2025-08-14T22:09:29.9170750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9171486Z     x = self.layer3(x)
2025-08-14T22:09:29.9172042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9172657Z     out = self.conv1(x)
2025-08-14T22:09:29.9172827Z 
2025-08-14T22:09:29.9173013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9173647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9174398Z     return mod(*inputs)
2025-08-14T22:09:29.9174999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9175657Z     return self._forward_impl(x)
2025-08-14T22:09:29.9176333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9177021Z     x = self.layer3(x)
2025-08-14T22:09:29.9177617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9178263Z     out = self.relu(out)
2025-08-14T22:09:29.9178464Z 
2025-08-14T22:09:29.9178647Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9179327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9179931Z     return mod(*inputs)
2025-08-14T22:09:29.9180537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9181209Z     return self._forward_impl(x)
2025-08-14T22:09:29.9181888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9182570Z     x = self.layer3(x)
2025-08-14T22:09:29.9183430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9184134Z     out = self.conv2(out)
2025-08-14T22:09:29.9184346Z 
2025-08-14T22:09:29.9184539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9185266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9185929Z     return mod(*inputs)
2025-08-14T22:09:29.9186574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9187273Z     return self._forward_impl(x)
2025-08-14T22:09:29.9187986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9188717Z     x = self.layer3(x)
2025-08-14T22:09:29.9189409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9190110Z     out = self.conv2(out)
2025-08-14T22:09:29.9190329Z 
2025-08-14T22:09:29.9190527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9191249Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9191892Z     return mod(*inputs)
2025-08-14T22:09:29.9192536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9193247Z     return self._forward_impl(x)
2025-08-14T22:09:29.9193949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9194776Z     x = self.layer3(x)
2025-08-14T22:09:29.9195592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:09:29.9196228Z     identity = self.downsample(x)
2025-08-14T22:09:29.9196442Z 
2025-08-14T22:09:29.9196618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9197258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9197839Z     return mod(*inputs)
2025-08-14T22:09:29.9198456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9199094Z     return self._forward_impl(x)
2025-08-14T22:09:29.9199739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9200388Z     x = self.layer3(x)
2025-08-14T22:09:29.9200943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:09:29.9201584Z     identity = self.downsample(x)
2025-08-14T22:09:29.9201798Z 
2025-08-14T22:09:29.9201985Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9202621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9203202Z     return mod(*inputs)
2025-08-14T22:09:29.9203776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9204413Z     return self._forward_impl(x)
2025-08-14T22:09:29.9205035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9205684Z     x = self.layer3(x)
2025-08-14T22:09:29.9206250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9206860Z     out = self.relu(out)
2025-08-14T22:09:29.9207050Z 
2025-08-14T22:09:29.9207223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9207868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9208451Z     return mod(*inputs)
2025-08-14T22:09:29.9209011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9209640Z     return self._forward_impl(x)
2025-08-14T22:09:29.9210275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9216334Z     x = self.layer3(x)
2025-08-14T22:09:29.9216955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9217629Z     out = self.conv1(x)
2025-08-14T22:09:29.9217814Z 
2025-08-14T22:09:29.9218019Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9218709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9219346Z     return mod(*inputs)
2025-08-14T22:09:29.9219965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9220734Z     return self._forward_impl(x)
2025-08-14T22:09:29.9221434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9222148Z     x = self.layer3(x)
2025-08-14T22:09:29.9222860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9223718Z     out = self.conv1(x)
2025-08-14T22:09:29.9223921Z 
2025-08-14T22:09:29.9224116Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9224845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9225502Z     return mod(*inputs)
2025-08-14T22:09:29.9226129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9226841Z     return self._forward_impl(x)
2025-08-14T22:09:29.9227561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9228277Z     x = self.layer3(x)
2025-08-14T22:09:29.9228902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9229662Z     out = self.relu(out)
2025-08-14T22:09:29.9229862Z 
2025-08-14T22:09:29.9230071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9230781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9231435Z     return mod(*inputs)
2025-08-14T22:09:29.9232078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9232776Z     return self._forward_impl(x)
2025-08-14T22:09:29.9233492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9234326Z     x = self.layer3(x)
2025-08-14T22:09:29.9235164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9235772Z     out = self.conv2(out)
2025-08-14T22:09:29.9235967Z 
2025-08-14T22:09:29.9236140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9236963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9237569Z     return mod(*inputs)
2025-08-14T22:09:29.9238169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9238840Z     return self._forward_impl(x)
2025-08-14T22:09:29.9239511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9240187Z     x = self.layer3(x)
2025-08-14T22:09:29.9240778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9241441Z     out = self.conv2(out)
2025-08-14T22:09:29.9241637Z 
2025-08-14T22:09:29.9241821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9242505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9243129Z     return mod(*inputs)
2025-08-14T22:09:29.9243730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9244389Z     return self._forward_impl(x)
2025-08-14T22:09:29.9245065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-08-14T22:09:29.9245754Z     x = self.layer3(x)
2025-08-14T22:09:29.9246338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9246999Z     out = self.relu(out)
2025-08-14T22:09:29.9247187Z 
2025-08-14T22:09:29.9247386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9248142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9248876Z     return mod(*inputs)
2025-08-14T22:09:29.9249455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9250103Z     return self._forward_impl(x)
2025-08-14T22:09:29.9250730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9251387Z     x = self.layer4(x)
2025-08-14T22:09:29.9251953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9252575Z     out = self.conv1(x)
2025-08-14T22:09:29.9252747Z 
2025-08-14T22:09:29.9252922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9254120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9254769Z     return mod(*inputs)
2025-08-14T22:09:29.9255386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9256080Z     return self._forward_impl(x)
2025-08-14T22:09:29.9256888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9257596Z     x = self.layer4(x)
2025-08-14T22:09:29.9258192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9258859Z     out = self.conv1(x)
2025-08-14T22:09:29.9259043Z 
2025-08-14T22:09:29.9259242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9259930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9260564Z     return mod(*inputs)
2025-08-14T22:09:29.9261183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9261875Z     return self._forward_impl(x)
2025-08-14T22:09:29.9262556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9263551Z     x = self.layer4(x)
2025-08-14T22:09:29.9264183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9264866Z     out = self.relu(out)
2025-08-14T22:09:29.9265076Z 
2025-08-14T22:09:29.9265273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9265997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9266653Z     return mod(*inputs)
2025-08-14T22:09:29.9267278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9267985Z     return self._forward_impl(x)
2025-08-14T22:09:29.9268703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9269424Z     x = self.layer4(x)
2025-08-14T22:09:29.9270052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9270752Z     out = self.conv2(out)
2025-08-14T22:09:29.9270955Z 
2025-08-14T22:09:29.9271164Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9271872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9272529Z     return mod(*inputs)
2025-08-14T22:09:29.9273240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9274043Z     return self._forward_impl(x)
2025-08-14T22:09:29.9274761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9275600Z     x = self.layer4(x)
2025-08-14T22:09:29.9276325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9276994Z     out = self.conv2(out)
2025-08-14T22:09:29.9277207Z 
2025-08-14T22:09:29.9277401Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9278171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9278790Z     return mod(*inputs)
2025-08-14T22:09:29.9279413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9280103Z     return self._forward_impl(x)
2025-08-14T22:09:29.9280797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9281491Z     x = self.layer4(x)
2025-08-14T22:09:29.9282107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:09:29.9282807Z     identity = self.downsample(x)
2025-08-14T22:09:29.9283044Z 
2025-08-14T22:09:29.9283233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9283935Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9284653Z     return mod(*inputs)
2025-08-14T22:09:29.9285276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9285953Z     return self._forward_impl(x)
2025-08-14T22:09:29.9286646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9287354Z     x = self.layer4(x)
2025-08-14T22:09:29.9287952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward
2025-08-14T22:09:29.9288646Z     identity = self.downsample(x)
2025-08-14T22:09:29.9288893Z 
2025-08-14T22:09:29.9289084Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9289787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9290408Z     return mod(*inputs)
2025-08-14T22:09:29.9291033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9291719Z     return self._forward_impl(x)
2025-08-14T22:09:29.9292500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9293189Z     x = self.layer4(x)
2025-08-14T22:09:29.9293789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward
2025-08-14T22:09:29.9294540Z     out = self.relu(out)
2025-08-14T22:09:29.9294720Z 
2025-08-14T22:09:29.9294893Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9295546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9296128Z     return mod(*inputs)
2025-08-14T22:09:29.9296687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9297328Z     return self._forward_impl(x)
2025-08-14T22:09:29.9297964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9298617Z     x = self.layer4(x)
2025-08-14T22:09:29.9299163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9299779Z     out = self.conv1(x)
2025-08-14T22:09:29.9299948Z 
2025-08-14T22:09:29.9300133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9300775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9301343Z     return mod(*inputs)
2025-08-14T22:09:29.9301976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9302688Z     return self._forward_impl(x)
2025-08-14T22:09:29.9303532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9304276Z     x = self.layer4(x)
2025-08-14T22:09:29.9304913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward
2025-08-14T22:09:29.9305607Z     out = self.conv1(x)
2025-08-14T22:09:29.9305798Z 
2025-08-14T22:09:29.9305994Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9306721Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9307383Z     return mod(*inputs)
2025-08-14T22:09:29.9308012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9308728Z     return self._forward_impl(x)
2025-08-14T22:09:29.9309446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9310182Z     x = self.layer4(x)
2025-08-14T22:09:29.9310804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward
2025-08-14T22:09:29.9311563Z     out = self.relu(out)
2025-08-14T22:09:29.9311763Z 
2025-08-14T22:09:29.9311973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9312683Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9313337Z     return mod(*inputs)
2025-08-14T22:09:29.9313981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9314698Z     return self._forward_impl(x)
2025-08-14T22:09:29.9315582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9316241Z     x = self.layer4(x)
2025-08-14T22:09:29.9316809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9317420Z     out = self.conv2(out)
2025-08-14T22:09:29.9317620Z 
2025-08-14T22:09:29.9317791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9318436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9319017Z     return mod(*inputs)
2025-08-14T22:09:29.9319575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9320204Z     return self._forward_impl(x)
2025-08-14T22:09:29.9320834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-08-14T22:09:29.9321474Z     x = self.layer4(x)
2025-08-14T22:09:29.9322037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward
2025-08-14T22:09:29.9322652Z     out = self.conv2(out)
2025-08-14T22:09:29.9322836Z 
2025-08-14T22:09:29.9323020Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:29.9323653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:29.9324236Z     return mod(*inputs)
2025-08-14T22:09:29.9324811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-08-14T22:09:29.9325434Z     return self._forward_impl(x)
2025-08-14T22:09:29.9326074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-08-14T22:09:29.9326726Z     x = self.avgpool(x)
2025-08-14T22:09:29.9326896Z 
2025-08-14T22:09:29.9327037Z cudagraph partition due to non gpu ops
2025-08-14T22:09:29.9327384Z cudagraph partition due to non gpu ops
2025-08-14T22:09:36.9632394Z Compilation time (from dynamo_timed): 14.855771225
2025-08-14T22:09:36.9632931Z pass
2025-08-14T22:09:36.9645813Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:36.9647429Z TIMING: _recursive_pre_grad_passes:0.01728 _recursive_joint_graph_passes:0.46571 _recursive_post_grad_passes:0.07911 async_compile.wait:0.82043 code_gen:7.1866 inductor_compile:10.20762 backend_compile:13.55981 gc:0.00111 entire_frame_compile:14.85577 total_wall_time:14.85577
2025-08-14T22:09:36.9649291Z STATS: call_* op count: 69 | FakeTensorMode.__torch_dispatch__:9215 | FakeTensor.__torch_dispatch__:2832 | ProxyTorchDispatchMode.__torch_dispatch__:1322
2025-08-14T22:09:36.9650260Z Dynamo produced 1 graphs covering 69 ops with 0 graph breaks (0 unique)
2025-08-14T22:09:41.8266135Z 
2025-08-14T22:09:42.0241282Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:09:42.0241822Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:09:42.0242503Z cpu  eval  functorch_maml_omniglot            
2025-08-14T22:09:42.0299607Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:42.0364270Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:42.0410126Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:46.8095866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8096659Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8097401Z     return mod(*inputs)
2025-08-14T22:09:46.8097594Z 
2025-08-14T22:09:46.8097802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8098509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8099133Z     return mod(*inputs)
2025-08-14T22:09:46.8099333Z 
2025-08-14T22:09:46.8099551Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8100250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8100868Z     return mod(*inputs)
2025-08-14T22:09:46.8101065Z 
2025-08-14T22:09:46.8101269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8101963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8102674Z     return mod(*inputs)
2025-08-14T22:09:46.8102866Z 
2025-08-14T22:09:46.8103225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8103943Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8104593Z     return mod(*inputs)
2025-08-14T22:09:46.8104781Z 
2025-08-14T22:09:46.8104972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8105685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8106362Z     return mod(*inputs)
2025-08-14T22:09:46.8106555Z 
2025-08-14T22:09:46.8106762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8107462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8108118Z     return mod(*inputs)
2025-08-14T22:09:46.8108306Z 
2025-08-14T22:09:46.8108512Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8109228Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8109864Z     return mod(*inputs)
2025-08-14T22:09:46.8110066Z 
2025-08-14T22:09:46.8110261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8110980Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8111616Z     return mod(*inputs)
2025-08-14T22:09:46.8111816Z 
2025-08-14T22:09:46.8112010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8112996Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8113653Z     return mod(*inputs)
2025-08-14T22:09:46.8113839Z 
2025-08-14T22:09:46.8114038Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8114855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8115484Z     return mod(*inputs)
2025-08-14T22:09:46.8115667Z 
2025-08-14T22:09:46.8115852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:09:46.8116547Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:09:46.8117178Z     return mod(*inputs)
2025-08-14T22:09:46.8117360Z 
2025-08-14T22:09:46.8117513Z cudagraph partition due to non gpu ops
2025-08-14T22:09:46.8117893Z cudagraph partition due to non gpu ops
2025-08-14T22:09:50.8575034Z Compilation time (from dynamo_timed): 7.581711864
2025-08-14T22:09:50.8575540Z pass
2025-08-14T22:09:50.8577829Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:09:50.8579442Z TIMING: _recursive_pre_grad_passes:0.00708 _recursive_joint_graph_passes:0.35935 _recursive_post_grad_passes:0.02989 async_compile.wait:0.75573 code_gen:4.01575 inductor_compile:6.11112 backend_compile:7.13004 gc:0.00067 entire_frame_compile:7.58171 total_wall_time:7.58171
2025-08-14T22:09:50.8581544Z STATS: call_* op count: 14 | FakeTensor.__torch_dispatch__:300 | FakeTensorMode.__torch_dispatch__:1893 | ProxyTorchDispatchMode.__torch_dispatch__:353
2025-08-14T22:09:50.8582523Z Dynamo produced 1 graphs covering 14 ops with 0 graph breaks (0 unique)
2025-08-14T22:09:55.5807634Z 
2025-08-14T22:09:56.6698565Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:09:56.6698916Z 
2025-08-14T22:09:56.6766819Z config.json:   0% 0.00/684 [00:00<?, ?B/s]
2025-08-14T22:09:56.6767305Z config.json: 100% 684/684 [00:00<00:00, 99.6kB/s]
2025-08-14T22:09:58.4975586Z 
2025-08-14T22:09:58.4976165Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:09:58.4976614Z cpu  eval  hf_Albert                          
2025-08-14T22:10:00.3460882Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:01.2842577Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:02.2155354Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:15.4057748Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4058223Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4058618Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4059023Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4059398Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4059790Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4060176Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4060574Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4060963Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4061354Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4061734Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4062139Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4062543Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4063290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4064025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4064702Z     return mod(**inputs)
2025-08-14T22:10:15.4065479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4066307Z     outputs = self.albert(
2025-08-14T22:10:15.4067066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4068201Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4069014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 520, in forward
2025-08-14T22:10:15.4069945Z     hidden_states = self.embedding_hidden_mapping_in(hidden_states)
2025-08-14T22:10:15.4070340Z 
2025-08-14T22:10:15.4070489Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4070892Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4071291Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4071680Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4072075Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4072478Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4072862Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4073315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4074048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4074708Z     return mod(**inputs)
2025-08-14T22:10:15.4075800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4076731Z     outputs = self.albert(
2025-08-14T22:10:15.4077474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4078261Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4079038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4079915Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4080786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4081842Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4082904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4083955Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4085001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4085920Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4086333Z 
2025-08-14T22:10:15.4086481Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4086872Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4087368Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4088079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4088705Z     return mod(**inputs)
2025-08-14T22:10:15.4089448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4090241Z     outputs = self.albert(
2025-08-14T22:10:15.4090984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4091773Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4092550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4093421Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4094281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4095338Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4096469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4097287Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4098076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4098882Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4099664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4100483Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4101173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4102090Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4102652Z 
2025-08-14T22:10:15.4102840Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4103416Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4103817Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4104215Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4104611Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4105073Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4105476Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4105871Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4106308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4107040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4107698Z     return mod(**inputs)
2025-08-14T22:10:15.4108452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4109264Z     outputs = self.albert(
2025-08-14T22:10:15.4110034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4110854Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4111639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4112543Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4113439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4114531Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4115705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4116741Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4117780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4118709Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4119101Z 
2025-08-14T22:10:15.4119245Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4119635Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4120071Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4120776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4121403Z     return mod(**inputs)
2025-08-14T22:10:15.4122135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4122924Z     outputs = self.albert(
2025-08-14T22:10:15.4123655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4124519Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4125295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4126166Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4127029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4128086Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4129154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4129972Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4130760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4131558Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4132342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4133144Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4133937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4134846Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4135323Z 
2025-08-14T22:10:15.4135478Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4135858Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4136248Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4136635Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4137004Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4137383Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4142730Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4143304Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4143756Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4144487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4145160Z     return mod(**inputs)
2025-08-14T22:10:15.4145904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4146717Z     outputs = self.albert(
2025-08-14T22:10:15.4147532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4148344Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4149143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4150039Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4150941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4152014Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4153106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4154675Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4155848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4156765Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4157172Z 
2025-08-14T22:10:15.4157314Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4157707Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4158305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4158999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4159640Z     return mod(**inputs)
2025-08-14T22:10:15.4160382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4161160Z     outputs = self.albert(
2025-08-14T22:10:15.4161903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4162700Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4163477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4164336Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4165210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4166266Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4167309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4168213Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4169017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4169819Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4170594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4171427Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4172128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4173045Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4173525Z 
2025-08-14T22:10:15.4173665Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4174060Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4174446Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4174816Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4175198Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4175580Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4175962Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4176330Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4176765Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4177471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4178101Z     return mod(**inputs)
2025-08-14T22:10:15.4178843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4179634Z     outputs = self.albert(
2025-08-14T22:10:15.4180360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4181158Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4181935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4182904Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4183961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4185048Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4186209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4187279Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4188341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4189306Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4189726Z 
2025-08-14T22:10:15.4189871Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4190277Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4190715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4191440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4192096Z     return mod(**inputs)
2025-08-14T22:10:15.4192839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4193654Z     outputs = self.albert(
2025-08-14T22:10:15.4194523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4195320Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4196207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4197009Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4197807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4198762Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4199729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4205415Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4206232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4207019Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4207812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4208630Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4209329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4210224Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4210714Z 
2025-08-14T22:10:15.4210855Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4211249Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4211623Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4212011Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4212395Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4212776Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4213145Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4213531Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4213966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4214658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4215296Z     return mod(**inputs)
2025-08-14T22:10:15.4216028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4216807Z     outputs = self.albert(
2025-08-14T22:10:15.4217545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4218335Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4219291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4220236Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4221212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4222240Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4223534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4224593Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4225660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4226625Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4227030Z 
2025-08-14T22:10:15.4227190Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4227575Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4228025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4228820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4229461Z     return mod(**inputs)
2025-08-14T22:10:15.4230214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4231020Z     outputs = self.albert(
2025-08-14T22:10:15.4231783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4232592Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4233394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4234291Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4235362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4236334Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4237303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4238045Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4238765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4239492Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4240218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4240971Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4241602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4242439Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4242876Z 
2025-08-14T22:10:15.4243018Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4243367Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4243724Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4244077Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4244431Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4244770Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4245120Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4245470Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4245858Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4246582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4247174Z     return mod(**inputs)
2025-08-14T22:10:15.4247835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4248562Z     outputs = self.albert(
2025-08-14T22:10:15.4249240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4249972Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4250670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4251475Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4252268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4253770Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4254830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4255990Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4257025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4257958Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4258353Z 
2025-08-14T22:10:15.4258494Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4258887Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4259329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4260023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4260667Z     return mod(**inputs)
2025-08-14T22:10:15.4261403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4262193Z     outputs = self.albert(
2025-08-14T22:10:15.4263359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4264174Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4264988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4265890Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4266776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4267864Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4268965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4269795Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4270614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4271442Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4272259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4273105Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4273815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4274872Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4275349Z 
2025-08-14T22:10:15.4275759Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4276156Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4276535Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4276926Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4277316Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4277688Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4278078Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4278462Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4278886Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4279598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4280233Z     return mod(**inputs)
2025-08-14T22:10:15.4280964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4281736Z     outputs = self.albert(
2025-08-14T22:10:15.4282477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4283271Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4284189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4285026Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4285864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4286886Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4287900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4288902Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4289913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4290899Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4291264Z 
2025-08-14T22:10:15.4291394Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4291753Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4292154Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4292784Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4293370Z     return mod(**inputs)
2025-08-14T22:10:15.4294039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4294761Z     outputs = self.albert(
2025-08-14T22:10:15.4295429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4296156Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4296866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4297670Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4298450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4299414Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4300383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4301109Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4301845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4302713Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4303671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4304504Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4305223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4306162Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4306652Z 
2025-08-14T22:10:15.4306813Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4307202Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4307598Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4307993Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4308374Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4308769Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4309165Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4309547Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4309995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4310781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4311441Z     return mod(**inputs)
2025-08-14T22:10:15.4312184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4312997Z     outputs = self.albert(
2025-08-14T22:10:15.4313754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4314556Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4315559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4316356Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4317150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4318111Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4319076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4320024Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4320976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4321820Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4322195Z 
2025-08-14T22:10:15.4322324Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4322687Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4323091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4323724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4324319Z     return mod(**inputs)
2025-08-14T22:10:15.4325287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4326282Z     outputs = self.albert(
2025-08-14T22:10:15.4327024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4327818Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4328594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4329448Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4331475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4332567Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4333624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4334438Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4335240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4336036Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4336807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4337626Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4338332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4339240Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4339716Z 
2025-08-14T22:10:15.4339921Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4340319Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4340710Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4341082Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4341470Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4341853Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4342224Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4342719Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4343338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4344075Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4344724Z     return mod(**inputs)
2025-08-14T22:10:15.4345492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4346313Z     outputs = self.albert(
2025-08-14T22:10:15.4347068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4347895Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4348696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4349591Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4350471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4351558Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4352653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4354143Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4355321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4356250Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4356644Z 
2025-08-14T22:10:15.4356797Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4357186Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4357611Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4358316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4358956Z     return mod(**inputs)
2025-08-14T22:10:15.4359823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4360622Z     outputs = self.albert(
2025-08-14T22:10:15.4361358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4362159Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4362918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4363790Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4364664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4365807Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4366777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4367517Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4368256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4369050Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4369773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4370527Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4371176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4371997Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4372448Z 
2025-08-14T22:10:15.4372578Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4372937Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4373284Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4373638Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4373989Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4374514Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4374879Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4375248Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4375667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4376339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4376959Z     return mod(**inputs)
2025-08-14T22:10:15.4377670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4378419Z     outputs = self.albert(
2025-08-14T22:10:15.4379135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4379911Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4380662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4381499Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4382341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4383690Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4384786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4385839Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4386905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4392969Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4393410Z 
2025-08-14T22:10:15.4393571Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4393964Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4394413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4395257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4395884Z     return mod(**inputs)
2025-08-14T22:10:15.4396618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4397403Z     outputs = self.albert(
2025-08-14T22:10:15.4398142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4398922Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4399697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4400567Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4401491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4402550Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4403605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4404412Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4405198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4405989Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4406778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4407605Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4408415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4409301Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4409764Z 
2025-08-14T22:10:15.4409912Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4410278Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4410655Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4411031Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4411410Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4411771Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4412148Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4412642Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4413037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4413692Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4414289Z     return mod(**inputs)
2025-08-14T22:10:15.4414953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4415678Z     outputs = self.albert(
2025-08-14T22:10:15.4416361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4417094Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4417794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4418598Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4419453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4420429Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4421391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4422348Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4423612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4424571Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4424976Z 
2025-08-14T22:10:15.4425120Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4425521Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4425972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4426687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4427338Z     return mod(**inputs)
2025-08-14T22:10:15.4428089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4428967Z     outputs = self.albert(
2025-08-14T22:10:15.4429714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4430534Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4431332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4432213Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4433112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4434208Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4435495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4436227Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4436958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4437684Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4438404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4439139Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4439779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4440610Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4441047Z 
2025-08-14T22:10:15.4441189Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4441537Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4441897Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4442254Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4442594Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4442946Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4443297Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4443635Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4444036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4444680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4445252Z     return mod(**inputs)
2025-08-14T22:10:15.4445982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4446707Z     outputs = self.albert(
2025-08-14T22:10:15.4447385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4448106Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4448819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4449616Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4455929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4456980Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4458042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 449, in forward
2025-08-14T22:10:15.4459085Z     attention_output = self.attention(hidden_states, attention_mask, head_mask, output_attentions)
2025-08-14T22:10:15.4460122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 403, in forward
2025-08-14T22:10:15.4461185Z     attention_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:15.4461596Z 
2025-08-14T22:10:15.4461737Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4462125Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4462547Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4463536Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4464194Z     return mod(**inputs)
2025-08-14T22:10:15.4464951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 971, in forward
2025-08-14T22:10:15.4465748Z     outputs = self.albert(
2025-08-14T22:10:15.4466514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 722, in forward
2025-08-14T22:10:15.4467338Z     encoder_outputs = self.encoder(
2025-08-14T22:10:15.4468128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 534, in forward
2025-08-14T22:10:15.4469030Z     layer_group_output = self.albert_layer_groups[group_idx](
2025-08-14T22:10:15.4469934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 486, in forward
2025-08-14T22:10:15.4471031Z     layer_output = albert_layer(hidden_states, attention_mask, head_mask[layer_index], output_attentions)
2025-08-14T22:10:15.4472106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 451, in forward
2025-08-14T22:10:15.4472940Z     ffn_output = apply_chunking_to_forward(
2025-08-14T22:10:15.4473770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:10:15.4474688Z     return forward_fn(*input_tensors)
2025-08-14T22:10:15.4475547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 463, in ff_chunk
2025-08-14T22:10:15.4476342Z     ffn_output = self.activation(ffn_output)
2025-08-14T22:10:15.4477018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:10:15.4477881Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:10:15.4478356Z 
2025-08-14T22:10:15.4478493Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4478875Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4479248Z cudagraph partition due to non gpu ops
2025-08-14T22:10:15.4479662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:15.4480443Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:15.4481073Z     return mod(**inputs)
2025-08-14T22:10:15.4481774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 984, in forward
2025-08-14T22:10:15.4482627Z     prediction_scores = self.predictions(sequence_outputs)
2025-08-14T22:10:15.4483470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/albert/modeling_albert.py", line 869, in forward
2025-08-14T22:10:15.4484271Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:10:15.4484545Z 
2025-08-14T22:10:23.1006759Z Compilation time (from dynamo_timed): 18.50388867
2025-08-14T22:10:23.1007903Z pass
2025-08-14T22:10:23.1010022Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:23.1011666Z TIMING: _recursive_pre_grad_passes:0.04125 _recursive_joint_graph_passes:0.83119 _recursive_post_grad_passes:0.11087 async_compile.wait:0.99793 code_gen:7.42088 inductor_compile:11.02757 backend_compile:16.538 gc:0.00031 entire_frame_compile:18.50389 total_wall_time:18.50389
2025-08-14T22:10:23.1013580Z STATS: call_* op count: 366 | FakeTensorMode.__torch_dispatch__:22926 | FakeTensor.__torch_dispatch__:4111 | ProxyTorchDispatchMode.__torch_dispatch__:4734
2025-08-14T22:10:23.1016320Z Dynamo produced 1 graphs covering 366 ops with 0 graph breaks (0 unique)
2025-08-14T22:10:28.2533174Z 
2025-08-14T22:10:29.2706000Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:10:29.2706313Z 
2025-08-14T22:10:29.2706956Z config.json: 0.00B [00:00, ?B/s]
2025-08-14T22:10:29.2707316Z config.json: 1.72kB [00:00, 6.97MB/s]
2025-08-14T22:10:34.8863513Z 
2025-08-14T22:10:34.8864157Z loading model: 0it [00:06, ?it/s]
2025-08-14T22:10:34.8886005Z cpu  eval  hf_Bart                            
2025-08-14T22:10:37.6387077Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:38.9951188Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:40.3661266Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:10:59.0369577Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0373092Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0373585Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0373980Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0374369Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0374739Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0375129Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0375521Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0375906Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0376280Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0376667Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0377080Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0377453Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0377901Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0378634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0379298Z     return mod(**inputs)
2025-08-14T22:10:59.0380043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0381061Z     outputs = self.model(
2025-08-14T22:10:59.0381794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0382643Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0383613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0384419Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0385419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0386165Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0386982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0387816Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0388636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0389478Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0390410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0391421Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0391803Z 
2025-08-14T22:10:59.0392010Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0392735Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0393399Z     return mod(**inputs)
2025-08-14T22:10:59.0394360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0395139Z     outputs = self.model(
2025-08-14T22:10:59.0395869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0396649Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0397389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0398158Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0398863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0399592Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0400352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0401161Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0401967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0402775Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0403681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0404610Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0404927Z 
2025-08-14T22:10:59.0405081Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0405465Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0405907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0406617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0407249Z     return mod(**inputs)
2025-08-14T22:10:59.0407966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0408742Z     outputs = self.model(
2025-08-14T22:10:59.0409457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0410225Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0410982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0411757Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0412444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0413236Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0414019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:10:59.0414884Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0415661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0416343Z     return self.act(input)
2025-08-14T22:10:59.0416563Z 
2025-08-14T22:10:59.0416708Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0417102Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0417479Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0417867Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0418250Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0418619Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0419008Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0419393Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0419822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0420524Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0421239Z     return mod(**inputs)
2025-08-14T22:10:59.0421964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0422813Z     outputs = self.model(
2025-08-14T22:10:59.0423732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0424543Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0425308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0426107Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0426827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0427577Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0428541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0429380Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0430203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0431048Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0431967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0432975Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0433354Z 
2025-08-14T22:10:59.0433567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0434285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0435066Z     return mod(**inputs)
2025-08-14T22:10:59.0435786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0436569Z     outputs = self.model(
2025-08-14T22:10:59.0437277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0438058Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0438806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0439575Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0440250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0440972Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0441821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0442620Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0448530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0449371Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0450272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0451185Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0451518Z 
2025-08-14T22:10:59.0451662Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0452052Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0452475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0453629Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0454291Z     return mod(**inputs)
2025-08-14T22:10:59.0455016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0455936Z     outputs = self.model(
2025-08-14T22:10:59.0456659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0457442Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0458187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0458959Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0459656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0460377Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0461146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:10:59.0462001Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0462881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0463768Z     return self.act(input)
2025-08-14T22:10:59.0463979Z 
2025-08-14T22:10:59.0464125Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0464526Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0464921Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0465299Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0465689Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0466077Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0466454Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0466844Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0467293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0468026Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0468673Z     return mod(**inputs)
2025-08-14T22:10:59.0469410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0470209Z     outputs = self.model(
2025-08-14T22:10:59.0470936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0471735Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0472511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0473305Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0474012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0474852Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0475736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0476530Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0477330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0478143Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0479037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0479993Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0480371Z 
2025-08-14T22:10:59.0480563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0481263Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0481903Z     return mod(**inputs)
2025-08-14T22:10:59.0482611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0483376Z     outputs = self.model(
2025-08-14T22:10:59.0484177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0484943Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0485800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0486555Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0487225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0487913Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0488662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0489446Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0490206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0491000Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0491870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0492765Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0493080Z 
2025-08-14T22:10:59.0493218Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0493595Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0494009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0494690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0495312Z     return mod(**inputs)
2025-08-14T22:10:59.0496010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0496741Z     outputs = self.model(
2025-08-14T22:10:59.0497436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0498196Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0498914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0499656Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0500322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0501023Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0501754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:10:59.0502734Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0503696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0504401Z     return self.act(input)
2025-08-14T22:10:59.0504618Z 
2025-08-14T22:10:59.0504765Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0505203Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0510536Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0510925Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0511319Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0511713Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0512091Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0512488Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0512933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0513662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0514311Z     return mod(**inputs)
2025-08-14T22:10:59.0515048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0516018Z     outputs = self.model(
2025-08-14T22:10:59.0516722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0517502Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0518257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0519025Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0519699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0520418Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0521190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0521984Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0522775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0523693Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0524563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0525566Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0525912Z 
2025-08-14T22:10:59.0526088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0526734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0527324Z     return mod(**inputs)
2025-08-14T22:10:59.0527972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0528680Z     outputs = self.model(
2025-08-14T22:10:59.0529338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0530045Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0530736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0531444Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0532256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0532944Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0533690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0534470Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0535296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0536092Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0536969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0537865Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0538173Z 
2025-08-14T22:10:59.0538312Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0538697Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0539124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0539793Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0540417Z     return mod(**inputs)
2025-08-14T22:10:59.0541115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0541863Z     outputs = self.model(
2025-08-14T22:10:59.0542618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0543641Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0544591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0545385Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0546083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0546829Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0547623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:10:59.0548494Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0549292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0549992Z     return self.act(input)
2025-08-14T22:10:59.0550201Z 
2025-08-14T22:10:59.0550360Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0550753Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0551150Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0551542Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0551922Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0552315Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0552705Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0553084Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0553961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0554694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0555353Z     return mod(**inputs)
2025-08-14T22:10:59.0556206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0556974Z     outputs = self.model(
2025-08-14T22:10:59.0557687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0558454Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0559204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0559972Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0560661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0561369Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0562143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0563086Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0563877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0564690Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0565711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0566602Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0566938Z 
2025-08-14T22:10:59.0567115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0567992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0568946Z     return mod(**inputs)
2025-08-14T22:10:59.0569668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0570432Z     outputs = self.model(
2025-08-14T22:10:59.0571157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0571944Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0572781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0573561Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0574254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0574979Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0575743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0576553Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0577352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0578155Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0579055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0579991Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0580309Z 
2025-08-14T22:10:59.0580464Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0580843Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0581281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0581985Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0582715Z     return mod(**inputs)
2025-08-14T22:10:59.0583607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0584403Z     outputs = self.model(
2025-08-14T22:10:59.0585149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0585941Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0586724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0587525Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0588235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0588967Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0589761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:10:59.0590640Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0591424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0592208Z     return self.act(input)
2025-08-14T22:10:59.0592436Z 
2025-08-14T22:10:59.0592582Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0592987Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0593376Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0593772Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0594174Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0594770Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0595311Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0595697Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0596207Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0596955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0597654Z     return mod(**inputs)
2025-08-14T22:10:59.0598376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0599148Z     outputs = self.model(
2025-08-14T22:10:59.0599855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0600696Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0601453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0602223Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0602897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0603619Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0604394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0605184Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0605983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0606793Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0607782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0608713Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0609081Z 
2025-08-14T22:10:59.0609264Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0610061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0610638Z     return mod(**inputs)
2025-08-14T22:10:59.0611294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0611999Z     outputs = self.model(
2025-08-14T22:10:59.0612658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0613358Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0614047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0614760Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0615392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0616041Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0616749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 312, in forward
2025-08-14T22:10:59.0617484Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:10:59.0618200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0618943Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0619992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0620895Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0621204Z 
2025-08-14T22:10:59.0621342Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0621718Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0622143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0623090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0623723Z     return mod(**inputs)
2025-08-14T22:10:59.0624637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0625436Z     outputs = self.model(
2025-08-14T22:10:59.0626186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1270, in forward
2025-08-14T22:10:59.0626978Z     encoder_outputs = self.encoder(
2025-08-14T22:10:59.0627760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 869, in forward
2025-08-14T22:10:59.0628622Z     layer_outputs = encoder_layer(
2025-08-14T22:10:59.0629333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0630065Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0631052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 323, in forward
2025-08-14T22:10:59.0631947Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0632729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0633437Z     return self.act(input)
2025-08-14T22:10:59.0633661Z 
2025-08-14T22:10:59.0633811Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0634217Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0634603Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0635024Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0635460Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0635839Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0636350Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0636742Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0637170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0637881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0638522Z     return mod(**inputs)
2025-08-14T22:10:59.0639239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0639991Z     outputs = self.model(
2025-08-14T22:10:59.0640718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0641487Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0642233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0643008Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0643690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0644414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0645174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0645995Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0646805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0647684Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0648585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0649646Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0650000Z 
2025-08-14T22:10:59.0650197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0650865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0651486Z     return mod(**inputs)
2025-08-14T22:10:59.0652178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0652927Z     outputs = self.model(
2025-08-14T22:10:59.0654148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0654945Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0655708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0656472Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0657287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0658018Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0658791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0659602Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0660421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0661233Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0662137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0663347Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0663690Z 
2025-08-14T22:10:59.0663839Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0664248Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0664634Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0665031Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0665427Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0665806Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0666199Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0666590Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0667039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0667753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0668412Z     return mod(**inputs)
2025-08-14T22:10:59.0669159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0669937Z     outputs = self.model(
2025-08-14T22:10:59.0670673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0671477Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0672254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0673037Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0673742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0674584Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0675433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0676345Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0677155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0677949Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0678805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0679747Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0680279Z 
2025-08-14T22:10:59.0680486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0681196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0681824Z     return mod(**inputs)
2025-08-14T22:10:59.0682539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0683312Z     outputs = self.model(
2025-08-14T22:10:59.0684012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0684789Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0685611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0686385Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0687059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0687782Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0688550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0689375Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0690214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0691030Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0691934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0692912Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0698211Z 
2025-08-14T22:10:59.0698359Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0698758Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0699204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0699903Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0700545Z     return mod(**inputs)
2025-08-14T22:10:59.0701264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0702022Z     outputs = self.model(
2025-08-14T22:10:59.0702831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0703816Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0704606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0705390Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0706103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0706847Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0707635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:10:59.0708525Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0709429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0710133Z     return self.act(input)
2025-08-14T22:10:59.0710346Z 
2025-08-14T22:10:59.0710495Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0710899Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0711305Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0711684Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0712077Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0712470Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0712847Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0713236Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0713681Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0714505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0715324Z     return mod(**inputs)
2025-08-14T22:10:59.0715983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0716690Z     outputs = self.model(
2025-08-14T22:10:59.0717333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0718107Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0718803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0719519Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0720136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0720799Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0721507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0722246Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0722997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0723745Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0724575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0725454Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0725799Z 
2025-08-14T22:10:59.0725974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0726619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0727206Z     return mod(**inputs)
2025-08-14T22:10:59.0727850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0728557Z     outputs = self.model(
2025-08-14T22:10:59.0729219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0729921Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0730793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0731550Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0732218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0732907Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0733656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0734448Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0735234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0736066Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0736942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0737843Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0738149Z 
2025-08-14T22:10:59.0738286Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0738667Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0739044Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0739416Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0739775Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0740146Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0740516Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0740873Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0741295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0741983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0742676Z     return mod(**inputs)
2025-08-14T22:10:59.0743572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0744601Z     outputs = self.model(
2025-08-14T22:10:59.0745339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0746126Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0746910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0747711Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0748411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0749160Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0749958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0750821Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0751670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0752514Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0753896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0754908Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0755350Z 
2025-08-14T22:10:59.0760572Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0762414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0764067Z     return mod(**inputs)
2025-08-14T22:10:59.0765933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0767942Z     outputs = self.model(
2025-08-14T22:10:59.0768852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0769641Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0770384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0771162Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0771857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0772566Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0773337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0774310Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0775252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0776036Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0776919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0777818Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0778126Z 
2025-08-14T22:10:59.0778277Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0778648Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0779083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0779770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0780381Z     return mod(**inputs)
2025-08-14T22:10:59.0781081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0781836Z     outputs = self.model(
2025-08-14T22:10:59.0782537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0783667Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0784458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0785262Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0785960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0786709Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0787502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:10:59.0788388Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0789167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0789866Z     return self.act(input)
2025-08-14T22:10:59.0790081Z 
2025-08-14T22:10:59.0790237Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0790624Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0791018Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0791408Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0791798Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0792177Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0792567Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0792959Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0793396Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0794244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0794889Z     return mod(**inputs)
2025-08-14T22:10:59.0795702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0796448Z     outputs = self.model(
2025-08-14T22:10:59.0797328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0798105Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0798846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0799617Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0800303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0801024Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0801853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0802675Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0803489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0804300Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0805203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0806175Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0806537Z 
2025-08-14T22:10:59.0806739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0807431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0808067Z     return mod(**inputs)
2025-08-14T22:10:59.0808889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0809746Z     outputs = self.model(
2025-08-14T22:10:59.0810404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0811419Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0812157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0812894Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0813564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0814269Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0815018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0815802Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0816594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0817380Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0818590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0819528Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0819857Z 
2025-08-14T22:10:59.0819999Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0820391Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0820763Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0821149Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0821533Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0821901Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0822279Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0822740Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0823358Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0824089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0824762Z     return mod(**inputs)
2025-08-14T22:10:59.0825503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0826286Z     outputs = self.model(
2025-08-14T22:10:59.0827026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0827827Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0828597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0829391Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0830183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0830933Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0831712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0832585Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0833444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0834394Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0835283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0836255Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0836618Z 
2025-08-14T22:10:59.0836820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0837518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0838162Z     return mod(**inputs)
2025-08-14T22:10:59.0838881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0839716Z     outputs = self.model(
2025-08-14T22:10:59.0840427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0841206Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0841968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0842744Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0843420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0844143Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0844920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0845952Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0846716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0847471Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0848298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0849133Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0849438Z 
2025-08-14T22:10:59.0849571Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0849939Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0850333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0850989Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0851589Z     return mod(**inputs)
2025-08-14T22:10:59.0852251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0852948Z     outputs = self.model(
2025-08-14T22:10:59.0854228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0855008Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0855751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0856527Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0857216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0857930Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0858808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:10:59.0859666Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0860433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0861116Z     return self.act(input)
2025-08-14T22:10:59.0861320Z 
2025-08-14T22:10:59.0861462Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0861854Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0862240Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0862692Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0863262Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0863654Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0864033Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0864423Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0864874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0865611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0866257Z     return mod(**inputs)
2025-08-14T22:10:59.0866994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0867880Z     outputs = self.model(
2025-08-14T22:10:59.0880837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0881655Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0882435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0883208Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0883900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0884601Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0885452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0886271Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0887088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0887886Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0888784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0889746Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0890105Z 
2025-08-14T22:10:59.0890304Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0890988Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0891626Z     return mod(**inputs)
2025-08-14T22:10:59.0892335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0893089Z     outputs = self.model(
2025-08-14T22:10:59.0893798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0894567Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0895307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0896070Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0896746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0897457Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0898219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0899137Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0900047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0900835Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0901682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0902645Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0903133Z 
2025-08-14T22:10:59.0903276Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0903655Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0904019Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0904572Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0904948Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0905320Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0905708Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0906092Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0906519Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0907316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0907970Z     return mod(**inputs)
2025-08-14T22:10:59.0908701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0909477Z     outputs = self.model(
2025-08-14T22:10:59.0910203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0910994Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0911747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0912536Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0913235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0913969Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0914959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0915760Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0916634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0917372Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0918177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0919049Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0919376Z 
2025-08-14T22:10:59.0919561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0920183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0920762Z     return mod(**inputs)
2025-08-14T22:10:59.0921416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0922300Z     outputs = self.model(
2025-08-14T22:10:59.0922976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0923724Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0924454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0925191Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0925838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0926588Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0927332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0928125Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0928914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0929695Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0930553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0931430Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0931744Z 
2025-08-14T22:10:59.0931876Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0932241Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0932646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0933314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0933923Z     return mod(**inputs)
2025-08-14T22:10:59.0935874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0936599Z     outputs = self.model(
2025-08-14T22:10:59.0937288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0938030Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0938746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0939486Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0940142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0940837Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0941563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:10:59.0951372Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.0952177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.0952865Z     return self.act(input)
2025-08-14T22:10:59.0953085Z 
2025-08-14T22:10:59.0953697Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0954100Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0954477Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0954866Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0955250Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0955733Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0956102Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0956483Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0956909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0957598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0958256Z     return mod(**inputs)
2025-08-14T22:10:59.0958960Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0959716Z     outputs = self.model(
2025-08-14T22:10:59.0960422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0961185Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0961935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0962698Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0963513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0964223Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0964986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0965811Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0966605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0967408Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0968297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0969255Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0969620Z 
2025-08-14T22:10:59.0969806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0970504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0971134Z     return mod(**inputs)
2025-08-14T22:10:59.0971845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0972790Z     outputs = self.model(
2025-08-14T22:10:59.0973647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0974418Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0975158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0975924Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0976605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0977322Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0978076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.0978882Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.0979774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0980576Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0981451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.0982373Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.0982793Z 
2025-08-14T22:10:59.0982945Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0983315Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0983877Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0984263Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0984642Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0985022Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0985402Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0985790Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.0986220Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.0986942Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.0987592Z     return mod(**inputs)
2025-08-14T22:10:59.0988315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.0989101Z     outputs = self.model(
2025-08-14T22:10:59.0989834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.0990631Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.0991491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.0992286Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.0992993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.0993726Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.0994625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.0995563Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.0996551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.0997345Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.0998343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.0999280Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.0999630Z 
2025-08-14T22:10:59.0999821Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1000514Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1001131Z     return mod(**inputs)
2025-08-14T22:10:59.1001817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1002542Z     outputs = self.model(
2025-08-14T22:10:59.1003229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1003973Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1004701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1011052Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1012867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1014733Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1016983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.1017824Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.1018649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.1019451Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.1020326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.1021243Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.1021561Z 
2025-08-14T22:10:59.1021706Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1022087Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1022629Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1023529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1024177Z     return mod(**inputs)
2025-08-14T22:10:59.1024910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1025692Z     outputs = self.model(
2025-08-14T22:10:59.1026416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1027207Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1027982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1028759Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1029525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1030260Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1031047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:10:59.1031917Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.1032708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.1033393Z     return self.act(input)
2025-08-14T22:10:59.1033604Z 
2025-08-14T22:10:59.1033747Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1034142Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1034635Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1035227Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1035559Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1035900Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1036244Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1036575Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1036964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1037632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1038199Z     return mod(**inputs)
2025-08-14T22:10:59.1038842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1039535Z     outputs = self.model(
2025-08-14T22:10:59.1040186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1040883Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1041571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1042273Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1042886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1043572Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1044269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.1045013Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.1045971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.1046748Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.1047606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.1048535Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.1048890Z 
2025-08-14T22:10:59.1049073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1049751Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1050366Z     return mod(**inputs)
2025-08-14T22:10:59.1051045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1051778Z     outputs = self.model(
2025-08-14T22:10:59.1052461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1053731Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1054489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1055251Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1056046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1056752Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1057511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 413, in forward
2025-08-14T22:10:59.1058327Z     hidden_states, self_attn_weights = self.self_attn(
2025-08-14T22:10:59.1059130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.1059922Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.1060806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.1061714Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.1062026Z 
2025-08-14T22:10:59.1062173Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1062543Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1063198Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1063585Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1063959Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1064394Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1064778Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1065149Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1065588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1066307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1066955Z     return mod(**inputs)
2025-08-14T22:10:59.1067746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1068633Z     outputs = self.model(
2025-08-14T22:10:59.1069372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1070158Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1070930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1071779Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1072531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1073263Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1074049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.1075022Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.1075838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.1076641Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.1077589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:10:59.1078556Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:10:59.1078924Z 
2025-08-14T22:10:59.1079112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1079801Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1080433Z     return mod(**inputs)
2025-08-14T22:10:59.1081137Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1081885Z     outputs = self.model(
2025-08-14T22:10:59.1082590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1083354Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1084163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1084924Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1085598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1086316Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1087069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 430, in forward
2025-08-14T22:10:59.1087934Z     hidden_states, cross_attn_weights = self.encoder_attn(
2025-08-14T22:10:59.1088858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 254, in forward
2025-08-14T22:10:59.1089635Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:10:59.1090658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:10:59.1091573Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:10:59.1091886Z 
2025-08-14T22:10:59.1092033Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1092406Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1092863Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1093553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1094174Z     return mod(**inputs)
2025-08-14T22:10:59.1094864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1471, in forward
2025-08-14T22:10:59.1095621Z     outputs = self.model(
2025-08-14T22:10:59.1096329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1288, in forward
2025-08-14T22:10:59.1097083Z     decoder_outputs = self.decoder(
2025-08-14T22:10:59.1097828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1115, in forward
2025-08-14T22:10:59.1098585Z     layer_outputs = decoder_layer(
2025-08-14T22:10:59.1099261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:10:59.1100106Z     return super().__call__(*args, **kwargs)
2025-08-14T22:10:59.1100844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 445, in forward
2025-08-14T22:10:59.1101661Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:10:59.1102389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:10:59.1103279Z     return self.act(input)
2025-08-14T22:10:59.1103563Z 
2025-08-14T22:10:59.1103700Z cudagraph partition due to non gpu ops
2025-08-14T22:10:59.1104308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1105020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1105669Z     return mod(**inputs)
2025-08-14T22:10:59.1106394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1490, in forward
2025-08-14T22:10:59.1107193Z     lm_logits = self.lm_head(outputs[0])
2025-08-14T22:10:59.1107454Z 
2025-08-14T22:10:59.1107647Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:10:59.1108359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:10:59.1109001Z     return mod(**inputs)
2025-08-14T22:10:59.1109716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bart/modeling_bart.py", line 1491, in forward
2025-08-14T22:10:59.1110606Z     lm_logits = lm_logits + self.final_logits_bias.to(lm_logits.device)
2025-08-14T22:10:59.1110981Z 
2025-08-14T22:11:08.9192323Z Compilation time (from dynamo_timed): 25.405585625
2025-08-14T22:11:08.9886592Z pass
2025-08-14T22:11:08.9887618Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:11:08.9889333Z TIMING: _recursive_pre_grad_passes:0.07299 _recursive_joint_graph_passes:0.74694 _recursive_post_grad_passes:0.1294 async_compile.wait:0.79845 code_gen:7.61519 inductor_compile:12.14307 backend_compile:21.01544 gc:0.00024 entire_frame_compile:25.40559 total_wall_time:25.40559
2025-08-14T22:11:08.9891297Z STATS: call_* op count: 501 | FakeTensorMode.__torch_dispatch__:32211 | FakeTensor.__torch_dispatch__:4950 | ProxyTorchDispatchMode.__torch_dispatch__:7085
2025-08-14T22:11:08.9892303Z Dynamo produced 1 graphs covering 501 ops with 0 graph breaks (0 unique)
2025-08-14T22:11:14.3434014Z 
2025-08-14T22:11:19.0385287Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:11:19.0385713Z loading model: 0it [00:04, ?it/s]
2025-08-14T22:11:19.0407324Z cpu  eval  hf_Bert                            
2025-08-14T22:11:21.3017756Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:11:22.2430000Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:11:23.3577370Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:11:38.7906559Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7907025Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7907432Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7907835Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7908230Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7908612Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7909007Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7909406Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7909794Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7910192Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7910625Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7911051Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7911436Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7911831Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7912597Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7912982Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7913376Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7913771Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7914155Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7914615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.7915475Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.7916126Z     return mod(**inputs)
2025-08-14T22:11:38.7916852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.7917784Z     outputs = self.bert(
2025-08-14T22:11:38.7918620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.7919496Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.7920345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.7921200Z     layer_outputs = layer_module(
2025-08-14T22:11:38.7921885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.7922596Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.7923435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.7924230Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.7925260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.7926020Z     return func(*args, **kwargs)
2025-08-14T22:11:38.7926761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.7927607Z     self_outputs = self.self(
2025-08-14T22:11:38.7928387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.7929227Z     return func(*args, **kwargs)
2025-08-14T22:11:38.7930073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.7931079Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.7931450Z 
2025-08-14T22:11:38.7931600Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7932062Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7932510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.7933219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.7933865Z     return mod(**inputs)
2025-08-14T22:11:38.7934644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.7935532Z     outputs = self.bert(
2025-08-14T22:11:38.7936232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.7937018Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.7937773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.7938584Z     layer_outputs = layer_module(
2025-08-14T22:11:38.7939326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.7940064Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.7940841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.7941622Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.7946065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.7946898Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.7947734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.7948801Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.7949811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.7950774Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.7951722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.7952559Z     return self.act(input)
2025-08-14T22:11:38.7952813Z 
2025-08-14T22:11:38.7952976Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7953970Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7954435Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7955157Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7955628Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7956034Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7956523Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7956925Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7957351Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.7958091Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.7958735Z     return mod(**inputs)
2025-08-14T22:11:38.7959623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.7960385Z     outputs = self.bert(
2025-08-14T22:11:38.7961101Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.7961894Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.7962635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.7963409Z     layer_outputs = layer_module(
2025-08-14T22:11:38.7964093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.7964816Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.7965578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.7966371Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.7967138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.7967888Z     return func(*args, **kwargs)
2025-08-14T22:11:38.7968666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.7969430Z     self_outputs = self.self(
2025-08-14T22:11:38.7970143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.7970875Z     return func(*args, **kwargs)
2025-08-14T22:11:38.7971608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.7972485Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.7972849Z 
2025-08-14T22:11:38.7973004Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7973387Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7973829Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.7974541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.7975229Z     return mod(**inputs)
2025-08-14T22:11:38.7975948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.7976716Z     outputs = self.bert(
2025-08-14T22:11:38.7977429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.7978192Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.7978949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.7979715Z     layer_outputs = layer_module(
2025-08-14T22:11:38.7980392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.7981114Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.7981885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.7982783Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.7983780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.7984602Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.7985452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.7986408Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.7987282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.7988256Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.7989041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.7989741Z     return self.act(input)
2025-08-14T22:11:38.7989989Z 
2025-08-14T22:11:38.7990136Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7990539Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7990938Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7991320Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7991716Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7992115Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7992496Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7992892Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.7993340Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.7994061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.7994827Z     return mod(**inputs)
2025-08-14T22:11:38.7995545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.7996356Z     outputs = self.bert(
2025-08-14T22:11:38.7997056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.7997840Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.7998599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.7999358Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8000044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8000779Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8001559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8002340Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8003113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8003906Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8004843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8005600Z     self_outputs = self.self(
2025-08-14T22:11:38.8006315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8007062Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8007779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8008729Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8009111Z 
2025-08-14T22:11:38.8009254Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8009639Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8010063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8010771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8011411Z     return mod(**inputs)
2025-08-14T22:11:38.8012112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8012877Z     outputs = self.bert(
2025-08-14T22:11:38.8013589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8014365Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8015104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8015945Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8016626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8017333Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8018109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8018898Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8019700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8020481Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8021297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8022221Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8023364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8024224Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8025007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8025756Z     return self.act(input)
2025-08-14T22:11:38.8025967Z 
2025-08-14T22:11:38.8026112Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8026515Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8026911Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8027308Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8027691Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8028083Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8028473Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8028851Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8029301Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8030029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8030676Z     return mod(**inputs)
2025-08-14T22:11:38.8031415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8032245Z     outputs = self.bert(
2025-08-14T22:11:38.8032978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8033767Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8034641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8035608Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8036219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8036881Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8037587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8038313Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8039006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8039690Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8040360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8041047Z     self_outputs = self.self(
2025-08-14T22:11:38.8041698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8042386Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8043121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8043915Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8044263Z 
2025-08-14T22:11:38.8044394Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8044760Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8045151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8045798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8046385Z     return mod(**inputs)
2025-08-14T22:11:38.8047039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8047728Z     outputs = self.bert(
2025-08-14T22:11:38.8048376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8049085Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8049762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8050467Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8051093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8051789Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8052482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8053751Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8054578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8055377Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8056187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8057119Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8057978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8058902Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8059659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8060345Z     return self.act(input)
2025-08-14T22:11:38.8060551Z 
2025-08-14T22:11:38.8060711Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8061090Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8061481Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8061866Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8062240Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8062717Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8063287Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8063674Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8064127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8064857Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8065522Z     return mod(**inputs)
2025-08-14T22:11:38.8066253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8067114Z     outputs = self.bert(
2025-08-14T22:11:38.8067947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8068733Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8069509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8070299Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8071111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8071845Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8072639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8073458Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8074248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8075125Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8075857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8076621Z     self_outputs = self.self(
2025-08-14T22:11:38.8077319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8078069Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8078803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8079680Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8080094Z 
2025-08-14T22:11:38.8080237Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8080626Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8081064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8081753Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8082389Z     return mod(**inputs)
2025-08-14T22:11:38.8083106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8083870Z     outputs = self.bert(
2025-08-14T22:11:38.8084563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8085345Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8086098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8087015Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8087786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8088448Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8089156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8089866Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8090795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8091568Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8092350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8093248Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8107968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8108930Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8109711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8110423Z     return self.act(input)
2025-08-14T22:11:38.8110633Z 
2025-08-14T22:11:38.8110782Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8111196Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8111594Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8111976Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8112371Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8112891Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8113290Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8113673Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8114128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8114972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8115697Z     return mod(**inputs)
2025-08-14T22:11:38.8116398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8117145Z     outputs = self.bert(
2025-08-14T22:11:38.8117837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8118579Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8119311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8120061Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8120713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8121456Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8122209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8122979Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8123715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8124449Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8125169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8125903Z     self_outputs = self.self(
2025-08-14T22:11:38.8126602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8127332Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8128043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8128930Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8129539Z 
2025-08-14T22:11:38.8137368Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8137781Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8138210Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8138918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8139566Z     return mod(**inputs)
2025-08-14T22:11:38.8140287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8141041Z     outputs = self.bert(
2025-08-14T22:11:38.8141765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8142543Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8143558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8144365Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8145074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8145825Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8146611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8147431Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8148269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8149204Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8150039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8150999Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8151890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8152749Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8154004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8154719Z     return self.act(input)
2025-08-14T22:11:38.8155049Z 
2025-08-14T22:11:38.8155210Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8155588Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8155976Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8156366Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8156735Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8157116Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8157495Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8157957Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8158397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8159108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8159750Z     return mod(**inputs)
2025-08-14T22:11:38.8160457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8161222Z     outputs = self.bert(
2025-08-14T22:11:38.8161933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8162694Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8163451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8164222Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8164911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8165789Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8166648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8167372Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8168081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8168757Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8169431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8170143Z     self_outputs = self.self(
2025-08-14T22:11:38.8170787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8171476Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8172353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8173209Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8173562Z 
2025-08-14T22:11:38.8173702Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8174084Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8174514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8175184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8175798Z     return mod(**inputs)
2025-08-14T22:11:38.8176582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8177332Z     outputs = self.bert(
2025-08-14T22:11:38.8178011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8178776Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8179509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8180242Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8180910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8181614Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8182361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8183381Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8184221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8185041Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8185875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8186870Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8187754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8188627Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8189392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8190095Z     return self.act(input)
2025-08-14T22:11:38.8190318Z 
2025-08-14T22:11:38.8190463Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8190874Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8191257Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8191662Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8192119Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8194626Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8195016Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8195527Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8195951Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8196720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8197362Z     return mod(**inputs)
2025-08-14T22:11:38.8198090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8198843Z     outputs = self.bert(
2025-08-14T22:11:38.8199558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8200338Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8201076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8201850Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8202533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8203257Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8204014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8204801Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8205562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8206298Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8207096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8207864Z     self_outputs = self.self(
2025-08-14T22:11:38.8208805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8209488Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8210165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8210976Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8211311Z 
2025-08-14T22:11:38.8211456Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8211803Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8212204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8212849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8213424Z     return mod(**inputs)
2025-08-14T22:11:38.8214081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8214782Z     outputs = self.bert(
2025-08-14T22:11:38.8215474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8216186Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8216873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8217578Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8218198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8218862Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8219570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8220300Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8221027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8221800Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8222549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8223707Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8224592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8225461Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8226235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8226920Z     return self.act(input)
2025-08-14T22:11:38.8227142Z 
2025-08-14T22:11:38.8227294Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8227692Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8228073Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8228467Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8228862Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8229252Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8229628Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8230018Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8230464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8231179Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8231847Z     return mod(**inputs)
2025-08-14T22:11:38.8232586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8233368Z     outputs = self.bert(
2025-08-14T22:11:38.8234169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8235075Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8235898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8236594Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8237222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8237886Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8238580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8239303Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8240010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8240708Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8241373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8242109Z     self_outputs = self.self(
2025-08-14T22:11:38.8242769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8243443Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8244114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8244921Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8245252Z 
2025-08-14T22:11:38.8245395Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8245741Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8246142Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8246788Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8247363Z     return mod(**inputs)
2025-08-14T22:11:38.8248015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8248767Z     outputs = self.bert(
2025-08-14T22:11:38.8249420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8250115Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8250806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8251513Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8252140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8252790Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8254072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8255107Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8255906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8256707Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8257526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8258447Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8259345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8260190Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8261073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8261760Z     return self.act(input)
2025-08-14T22:11:38.8261964Z 
2025-08-14T22:11:38.8262108Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8262501Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8263170Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8263558Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8263951Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8264345Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8264722Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8265115Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8265564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8266279Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8266939Z     return mod(**inputs)
2025-08-14T22:11:38.8267684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8268473Z     outputs = self.bert(
2025-08-14T22:11:38.8269195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8270047Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8270823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8271612Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8272301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8273050Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8273852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8274739Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8275488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8276219Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8276930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8277702Z     self_outputs = self.self(
2025-08-14T22:11:38.8278393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8279118Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8279813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8280673Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8281041Z 
2025-08-14T22:11:38.8281177Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8281556Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8281974Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8282654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8283276Z     return mod(**inputs)
2025-08-14T22:11:38.8283957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8284698Z     outputs = self.bert(
2025-08-14T22:11:38.8285387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8286139Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8286854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8287595Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8288313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8289003Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8289849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8290579Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8291316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8292031Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8292781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8293621Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8294412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8295176Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8295870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8296497Z     return self.act(input)
2025-08-14T22:11:38.8296718Z 
2025-08-14T22:11:38.8296849Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8297206Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8297559Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8297911Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8298249Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8298599Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8298950Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8299289Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8299692Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8300343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8300925Z     return mod(**inputs)
2025-08-14T22:11:38.8301594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8302301Z     outputs = self.bert(
2025-08-14T22:11:38.8303250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8304041Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8304822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8305619Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8306309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8307054Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8307860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8308673Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8309448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8310225Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8310974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8311752Z     self_outputs = self.self(
2025-08-14T22:11:38.8312487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8313257Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8314018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8315031Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8315405Z 
2025-08-14T22:11:38.8315627Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8316016Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8316452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8317313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8317962Z     return mod(**inputs)
2025-08-14T22:11:38.8318681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8319436Z     outputs = self.bert(
2025-08-14T22:11:38.8320154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8320936Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8321693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8322449Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8323133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8323856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8324656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8325443Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8326245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8327031Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8327831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8328748Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8329604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8330447Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8331190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8331904Z     return self.act(input)
2025-08-14T22:11:38.8332110Z 
2025-08-14T22:11:38.8332265Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8332642Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8333026Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8333407Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8333774Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8334156Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8334558Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8334941Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8335465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8336122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8336716Z     return mod(**inputs)
2025-08-14T22:11:38.8337378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8338074Z     outputs = self.bert(
2025-08-14T22:11:38.8338728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8339439Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8340115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8340810Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8341433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8342092Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8342909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:11:38.8343898Z     self_attention_outputs = self.attention(
2025-08-14T22:11:38.8344697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8345458Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8346215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:11:38.8346997Z     self_outputs = self.self(
2025-08-14T22:11:38.8347729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:11:38.8348485Z     return func(*args, **kwargs)
2025-08-14T22:11:38.8349236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:11:38.8350139Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:11:38.8350513Z 
2025-08-14T22:11:38.8350670Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8351058Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8351537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8352260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8353045Z     return mod(**inputs)
2025-08-14T22:11:38.8354288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:11:38.8355088Z     outputs = self.bert(
2025-08-14T22:11:38.8355915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:11:38.8356690Z     encoder_outputs = self.encoder(
2025-08-14T22:11:38.8357444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:11:38.8358205Z     layer_outputs = layer_module(
2025-08-14T22:11:38.8358874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:11:38.8359659Z     return super().__call__(*args, **kwargs)
2025-08-14T22:11:38.8360422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:11:38.8361203Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:11:38.8361996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:11:38.8362773Z     return forward_fn(*input_tensors)
2025-08-14T22:11:38.8363582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:11:38.8364498Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:11:38.8365338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:11:38.8366361Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:11:38.8367049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:11:38.8367664Z     return self.act(input)
2025-08-14T22:11:38.8367854Z 
2025-08-14T22:11:38.8367982Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8368327Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8368673Z cudagraph partition due to non gpu ops
2025-08-14T22:11:38.8369053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:11:38.8369685Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:11:38.8370260Z     return mod(**inputs)
2025-08-14T22:11:38.8370991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-14T22:11:38.8371720Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:11:38.8372443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-14T22:11:38.8373215Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:11:38.8373962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-14T22:11:38.8374875Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:11:38.8375146Z 
2025-08-14T22:11:47.0185744Z Compilation time (from dynamo_timed): 20.9232478
2025-08-14T22:11:47.0499440Z pass
2025-08-14T22:11:47.0500910Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:11:47.0505461Z TIMING: _recursive_pre_grad_passes:0.05043 _recursive_joint_graph_passes:0.60761 _recursive_post_grad_passes:0.10355 async_compile.wait:0.98469 code_gen:6.55777 inductor_compile:10.15266 backend_compile:16.88719 gc:0.00014 entire_frame_compile:20.92325 total_wall_time:20.92325
2025-08-14T22:11:47.0509568Z STATS: call_* op count: 286 | FakeTensorMode.__torch_dispatch__:23787 | FakeTensor.__torch_dispatch__:3739 | ProxyTorchDispatchMode.__torch_dispatch__:5249
2025-08-14T22:11:47.0510819Z Dynamo produced 1 graphs covering 286 ops with 0 graph breaks (0 unique)
2025-08-14T22:11:52.3150317Z 
2025-08-14T22:12:00.5237405Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:12:00.5237877Z loading model: 0it [00:08, ?it/s]
2025-08-14T22:12:00.5279974Z cpu  eval  hf_Bert_large                      
2025-08-14T22:12:06.0380658Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:12:08.4924375Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:12:10.9742773Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:12:37.7422310Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7422930Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7423552Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7424289Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7424688Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7425099Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7425516Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7425909Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7426314Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7426716Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7427107Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7427510Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7427914Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7428304Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7428719Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7429120Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7429525Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7429941Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7430348Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7430750Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7431139Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7431545Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7431949Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7432355Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7432746Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7433149Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7433551Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7433941Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7434451Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7435009Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7435397Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7435848Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7436594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7437244Z     return mod(**inputs)
2025-08-14T22:12:37.7437994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7438783Z     outputs = self.bert(
2025-08-14T22:12:37.7439508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7440290Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7441056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7441840Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7442550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7443277Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7444134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7444937Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7445707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7446466Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7447217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7447994Z     self_outputs = self.self(
2025-08-14T22:12:37.7448704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7449468Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7450208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7451127Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7451517Z 
2025-08-14T22:12:37.7451670Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7452069Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7452518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7453847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7454506Z     return mod(**inputs)
2025-08-14T22:12:37.7455239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7456006Z     outputs = self.bert(
2025-08-14T22:12:37.7456740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7457528Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7458292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7459061Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7459756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7460492Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7461270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7462059Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7462963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7463972Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7464935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7465902Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7466805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7467683Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7468460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7469178Z     return self.act(input)
2025-08-14T22:12:37.7469396Z 
2025-08-14T22:12:37.7469564Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7469964Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7470369Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7470922Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7471335Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7471732Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7476353Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7476754Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7477260Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7478041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7478695Z     return mod(**inputs)
2025-08-14T22:12:37.7479436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7480198Z     outputs = self.bert(
2025-08-14T22:12:37.7480921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7481711Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7482466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7483247Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7483941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7484732Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7485498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7486302Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7487080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7487905Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7488653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7489434Z     self_outputs = self.self(
2025-08-14T22:12:37.7490151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7490920Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7491671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7492574Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7492949Z 
2025-08-14T22:12:37.7493099Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7493502Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7493962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7494668Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7495323Z     return mod(**inputs)
2025-08-14T22:12:37.7496054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7496904Z     outputs = self.bert(
2025-08-14T22:12:37.7497613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7498412Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7499188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7499956Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7500662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7501399Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7502180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7503262Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7504113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7504941Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7505798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7506787Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7507682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7508563Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7509334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7510053Z     return self.act(input)
2025-08-14T22:12:37.7510288Z 
2025-08-14T22:12:37.7510439Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7510853Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7511258Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7511669Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7512076Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7512465Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7512906Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7513309Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7513759Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7514501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7515278Z     return mod(**inputs)
2025-08-14T22:12:37.7516012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7516777Z     outputs = self.bert(
2025-08-14T22:12:37.7517500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7518296Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7519049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7519827Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7520529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7521265Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7522033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7522831Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7523606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7524363Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7525169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7525948Z     self_outputs = self.self(
2025-08-14T22:12:37.7526675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7527431Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7528175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7529062Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7529433Z 
2025-08-14T22:12:37.7529598Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7529989Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7530437Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7531154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7531787Z     return mod(**inputs)
2025-08-14T22:12:37.7532517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7533290Z     outputs = self.bert(
2025-08-14T22:12:37.7534006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7539859Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7540693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7541467Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7542142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7543147Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7543954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7544785Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7545614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7546449Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7547352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7548309Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7549191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7550066Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7550848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7551541Z     return self.act(input)
2025-08-14T22:12:37.7551770Z 
2025-08-14T22:12:37.7551923Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7552331Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7552736Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7553122Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7553976Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7554382Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7554773Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7555276Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7555723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7556424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7557076Z     return mod(**inputs)
2025-08-14T22:12:37.7557799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7558574Z     outputs = self.bert(
2025-08-14T22:12:37.7559401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7560191Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7560958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7561730Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7562427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7563167Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7563948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7564735Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7565512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7566271Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7567007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7567781Z     self_outputs = self.self(
2025-08-14T22:12:37.7568550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7569309Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7570042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7570937Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7571325Z 
2025-08-14T22:12:37.7571472Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7571865Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7572295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7573011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7573657Z     return mod(**inputs)
2025-08-14T22:12:37.7574367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7575180Z     outputs = self.bert(
2025-08-14T22:12:37.7575897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7576676Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7577419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7578191Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7578879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7579595Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7580378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7581174Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7581989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7582875Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7583893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7584850Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7585747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7586608Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7587392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7588174Z     return self.act(input)
2025-08-14T22:12:37.7588390Z 
2025-08-14T22:12:37.7588539Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7588949Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7589355Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7589746Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7590147Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7590546Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7590945Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7591330Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7591786Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7592516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7593169Z     return mod(**inputs)
2025-08-14T22:12:37.7593916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7594920Z     outputs = self.bert(
2025-08-14T22:12:37.7595617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7596397Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7597257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7598246Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7598923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7599652Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7600430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7601229Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7615015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7616208Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7617071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7617936Z     self_outputs = self.self(
2025-08-14T22:12:37.7618635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7619373Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7620099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7620965Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7621324Z 
2025-08-14T22:12:37.7621467Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7621854Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7622290Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7623244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7623916Z     return mod(**inputs)
2025-08-14T22:12:37.7624671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7625476Z     outputs = self.bert(
2025-08-14T22:12:37.7626205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7627014Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7627797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7628582Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7629296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7630121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7630932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7631745Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7632592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7633417Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7634362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7635395Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7636240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7637060Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7637793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7638464Z     return self.act(input)
2025-08-14T22:12:37.7638669Z 
2025-08-14T22:12:37.7638828Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7639252Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7639623Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7640007Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7640384Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7640751Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7641133Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7641512Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7641930Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7642901Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7643530Z     return mod(**inputs)
2025-08-14T22:12:37.7644238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7644975Z     outputs = self.bert(
2025-08-14T22:12:37.7645675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7646472Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7647197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7647948Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7648620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7649327Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7650069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7650848Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7651598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7652319Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7653042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7654410Z     self_outputs = self.self(
2025-08-14T22:12:37.7655144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7655888Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7656633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7657522Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7657892Z 
2025-08-14T22:12:37.7658050Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7658555Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7659009Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7659830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7660538Z     return mod(**inputs)
2025-08-14T22:12:37.7661268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7662045Z     outputs = self.bert(
2025-08-14T22:12:37.7662832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7663814Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7664599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7665396Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7666098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7666847Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7667647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7668575Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7669399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7670227Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7671076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7672020Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7672921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7673800Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7674685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7675408Z     return self.act(input)
2025-08-14T22:12:37.7675631Z 
2025-08-14T22:12:37.7675778Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7676282Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7676651Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7677030Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7677412Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7677787Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7678150Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7678527Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7678957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7679643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7680273Z     return mod(**inputs)
2025-08-14T22:12:37.7680976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7681716Z     outputs = self.bert(
2025-08-14T22:12:37.7682412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7683173Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7683909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7684643Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7685315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7686121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7686893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7687627Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7688338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7689043Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7689711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7690418Z     self_outputs = self.self(
2025-08-14T22:12:37.7691078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7691770Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7692436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7693251Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7693589Z 
2025-08-14T22:12:37.7693735Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7694085Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7694495Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7695181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7695778Z     return mod(**inputs)
2025-08-14T22:12:37.7696427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7697133Z     outputs = self.bert(
2025-08-14T22:12:37.7697787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7698493Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7699185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7699899Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7700533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7701222Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7701938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7702782Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7703757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7704591Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7705446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7706403Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7707287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7708158Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7708948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7709657Z     return self.act(input)
2025-08-14T22:12:37.7709872Z 
2025-08-14T22:12:37.7710022Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7710429Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7710830Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7711217Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7711615Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7712015Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7712399Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7712798Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7713336Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7714078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7714737Z     return mod(**inputs)
2025-08-14T22:12:37.7715546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7716259Z     outputs = self.bert(
2025-08-14T22:12:37.7716907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7717623Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7718317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7719028Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7719650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7720326Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7721039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7721789Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7728681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7730667Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7732586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7734571Z     self_outputs = self.self(
2025-08-14T22:12:37.7736447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7738409Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7740389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7741374Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7741746Z 
2025-08-14T22:12:37.7741887Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7742320Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7742820Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7743712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7744380Z     return mod(**inputs)
2025-08-14T22:12:37.7745114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7745911Z     outputs = self.bert(
2025-08-14T22:12:37.7746652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7747459Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7748233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7749037Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7749752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7750495Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7751298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7752117Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7752954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7754190Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7755154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7756209Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7757068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7757929Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7758695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7759387Z     return self.act(input)
2025-08-14T22:12:37.7759597Z 
2025-08-14T22:12:37.7759745Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7760147Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7760542Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7760920Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7761310Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7761698Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7762090Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7762465Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7762907Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7763621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7764304Z     return mod(**inputs)
2025-08-14T22:12:37.7765030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7765910Z     outputs = self.bert(
2025-08-14T22:12:37.7766598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7767476Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7768180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7768892Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7769520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7770190Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7770903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7771699Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7772396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7773091Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7773770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7774653Z     self_outputs = self.self(
2025-08-14T22:12:37.7775352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7776088Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7776807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7777654Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7778032Z 
2025-08-14T22:12:37.7778175Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7778565Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7778986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7779681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7780311Z     return mod(**inputs)
2025-08-14T22:12:37.7781012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7781755Z     outputs = self.bert(
2025-08-14T22:12:37.7782515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7783565Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7784338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7790038Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7790755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7791506Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7792295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7793119Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7793958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7794783Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7795715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7796645Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7797561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7798398Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7799160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7799854Z     return self.act(input)
2025-08-14T22:12:37.7800064Z 
2025-08-14T22:12:37.7800226Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7800615Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7801114Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7801493Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7801858Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7802242Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7802619Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7802981Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7803529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7804215Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7804812Z     return mod(**inputs)
2025-08-14T22:12:37.7805462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7806172Z     outputs = self.bert(
2025-08-14T22:12:37.7806837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7807546Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7808249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7808958Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7809592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7810252Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7810965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7811694Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7812392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7813085Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7813762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7814468Z     self_outputs = self.self(
2025-08-14T22:12:37.7815171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7815865Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7816707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7817577Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7817935Z 
2025-08-14T22:12:37.7818076Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7818463Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7818895Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7819573Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7820200Z     return mod(**inputs)
2025-08-14T22:12:37.7820903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7821656Z     outputs = self.bert(
2025-08-14T22:12:37.7822344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7823388Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7824219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7825004Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7825718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7826466Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7827271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7828085Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7828932Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7829758Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7830595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7831585Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7832479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7833348Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7834123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7834928Z     return self.act(input)
2025-08-14T22:12:37.7835246Z 
2025-08-14T22:12:37.7835401Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7835790Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7836154Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7836541Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7836920Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7837287Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7837662Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7838045Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7838464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7839155Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7839963Z     return mod(**inputs)
2025-08-14T22:12:37.7840671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7841441Z     outputs = self.bert(
2025-08-14T22:12:37.7842158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7842937Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7843757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7844534Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7845227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7845959Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7846725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7847713Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7848519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7849262Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7850003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7850787Z     self_outputs = self.self(
2025-08-14T22:12:37.7851513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7852295Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7853039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7854316Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7854688Z 
2025-08-14T22:12:37.7854836Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7855240Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7855684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7856398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7857037Z     return mod(**inputs)
2025-08-14T22:12:37.7857764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7858539Z     outputs = self.bert(
2025-08-14T22:12:37.7859244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7860114Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7860883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7861664Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7862346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7863352Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7864161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7864986Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7865821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7866652Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7867508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7868454Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7869342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7870216Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7871002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7871699Z     return self.act(input)
2025-08-14T22:12:37.7871927Z 
2025-08-14T22:12:37.7872079Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7872762Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7873157Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7873560Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7873962Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7874474Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7874948Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7875326Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7875755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7876431Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7877057Z     return mod(**inputs)
2025-08-14T22:12:37.7877759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7878499Z     outputs = self.bert(
2025-08-14T22:12:37.7879210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7879952Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7880675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7881453Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7882111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7882798Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7883543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7884318Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7885047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7885894Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7886575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7887266Z     self_outputs = self.self(
2025-08-14T22:12:37.7887921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7888630Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7889296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7890091Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7890433Z 
2025-08-14T22:12:37.7890564Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7890913Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7891298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7891940Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7892527Z     return mod(**inputs)
2025-08-14T22:12:37.7893184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7893874Z     outputs = self.bert(
2025-08-14T22:12:37.7894526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7895231Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7895905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7896602Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7897222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7897874Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7898618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7899337Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7900067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7900793Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7901525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7902362Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7903454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7904305Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7905076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7905770Z     return self.act(input)
2025-08-14T22:12:37.7905987Z 
2025-08-14T22:12:37.7906141Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7906529Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7906917Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7907349Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7907726Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7908114Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7908495Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7908875Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7909316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7910253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7910914Z     return mod(**inputs)
2025-08-14T22:12:37.7911648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7912444Z     outputs = self.bert(
2025-08-14T22:12:37.7913179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7913974Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7914788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7915671Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7916353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7917061Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7917825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7918613Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7919379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7920121Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7920849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7921617Z     self_outputs = self.self(
2025-08-14T22:12:37.7922319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7923059Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7923787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7924667Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7925030Z 
2025-08-14T22:12:37.7925172Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7925558Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7925992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7926741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7927377Z     return mod(**inputs)
2025-08-14T22:12:37.7928096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7928859Z     outputs = self.bert(
2025-08-14T22:12:37.7929559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7930331Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7931079Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7931834Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7932508Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7933219Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7933990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7934874Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7935691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7936460Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7937235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7938125Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7938953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7939762Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7940481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7941139Z     return self.act(input)
2025-08-14T22:12:37.7941347Z 
2025-08-14T22:12:37.7941650Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7942085Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7942457Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7942919Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7943471Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7943850Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7944240Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7944634Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7945068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7945790Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7946446Z     return mod(**inputs)
2025-08-14T22:12:37.7947184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7947960Z     outputs = self.bert(
2025-08-14T22:12:37.7948693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7949490Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7950249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7951036Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7951741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7952477Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7953748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7954568Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7955574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7956310Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7957047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7957810Z     self_outputs = self.self(
2025-08-14T22:12:37.7958511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7959239Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7959967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.7960840Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.7961202Z 
2025-08-14T22:12:37.7961349Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7961727Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7962157Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7962855Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7963521Z     return mod(**inputs)
2025-08-14T22:12:37.7964229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7964988Z     outputs = self.bert(
2025-08-14T22:12:37.7965781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7966531Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7967251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7967984Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7968637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7969328Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7970067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.7970866Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.7971632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.7977421Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.7978263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.7979166Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.7980017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.7980862Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.7981615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.7982283Z     return self.act(input)
2025-08-14T22:12:37.7982507Z 
2025-08-14T22:12:37.7982749Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7983324Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7983708Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7984102Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7984498Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7984890Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7985268Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7985657Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.7986099Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.7986810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.7987542Z     return mod(**inputs)
2025-08-14T22:12:37.7988279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.7989058Z     outputs = self.bert(
2025-08-14T22:12:37.7989790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.7990586Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.7991354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.7992129Z     layer_outputs = layer_module(
2025-08-14T22:12:37.7992832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.7993576Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.7994482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.7995359Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.7996111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7996881Z     return func(*args, **kwargs)
2025-08-14T22:12:37.7997587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.7998332Z     self_outputs = self.self(
2025-08-14T22:12:37.7999025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.7999758Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8000462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8001319Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8001679Z 
2025-08-14T22:12:37.8001838Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8002216Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8002649Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8003377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8004010Z     return mod(**inputs)
2025-08-14T22:12:37.8004697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8005622Z     outputs = self.bert(
2025-08-14T22:12:37.8006340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8007111Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8007870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8008646Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8009335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8010047Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8010828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8011621Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8012417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8013231Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8014054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8014985Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8015898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8016754Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8017516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8018211Z     return self.act(input)
2025-08-14T22:12:37.8018422Z 
2025-08-14T22:12:37.8018568Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8018962Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8019359Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8019738Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8020132Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8020525Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8021000Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8021364Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8021773Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8022442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8023296Z     return mod(**inputs)
2025-08-14T22:12:37.8024124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8024967Z     outputs = self.bert(
2025-08-14T22:12:37.8025698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8026510Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8027300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8028102Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8028799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8029547Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8030355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8031161Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8031993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8032770Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8033529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8034307Z     self_outputs = self.self(
2025-08-14T22:12:37.8041266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8043232Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8045134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8047456Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8048433Z 
2025-08-14T22:12:37.8048803Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8049762Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8050199Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8050910Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8051558Z     return mod(**inputs)
2025-08-14T22:12:37.8052281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8053041Z     outputs = self.bert(
2025-08-14T22:12:37.8054150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8054938Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8055807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8056588Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8057286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8058028Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8058797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8059597Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8060412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8061200Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8062022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8063232Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8064126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8065053Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8065842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8066553Z     return self.act(input)
2025-08-14T22:12:37.8066769Z 
2025-08-14T22:12:37.8066933Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8067328Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8067730Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8068128Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8068516Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8068917Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8069315Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8069709Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8070165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8070896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8071595Z     return mod(**inputs)
2025-08-14T22:12:37.8072341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8073141Z     outputs = self.bert(
2025-08-14T22:12:37.8073881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8074867Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8075603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8076351Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8077024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8077719Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8078477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8079258Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8079989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8080714Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8081432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8082164Z     self_outputs = self.self(
2025-08-14T22:12:37.8082840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8083559Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8084324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8085169Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8085540Z 
2025-08-14T22:12:37.8085799Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8086154Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8086555Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8087192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8087776Z     return mod(**inputs)
2025-08-14T22:12:37.8088432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8089116Z     outputs = self.bert(
2025-08-14T22:12:37.8089772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8090490Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8091177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8091899Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8092529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8093191Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8093887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8094606Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8095347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8096068Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8096810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8098228Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8099092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8099983Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8100731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8101416Z     return self.act(input)
2025-08-14T22:12:37.8101623Z 
2025-08-14T22:12:37.8101778Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8102163Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8102550Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8103190Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8103581Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8103971Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8104359Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8104751Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8105181Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8105912Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8106569Z     return mod(**inputs)
2025-08-14T22:12:37.8107295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8108079Z     outputs = self.bert(
2025-08-14T22:12:37.8108807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8109601Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8110361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8111211Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8111914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8112639Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8113437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8114353Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8115116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8115852Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8116665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8117359Z     self_outputs = self.self(
2025-08-14T22:12:37.8118013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8118689Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8119359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8120197Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8120533Z 
2025-08-14T22:12:37.8120667Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8121027Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8121421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8122068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8122642Z     return mod(**inputs)
2025-08-14T22:12:37.8123300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8124010Z     outputs = self.bert(
2025-08-14T22:12:37.8124652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8125365Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8126048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8126780Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8127393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8128056Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8128757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8129474Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8130208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8130937Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8131680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8132516Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8144252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8145244Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8146034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8146744Z     return self.act(input)
2025-08-14T22:12:37.8146958Z 
2025-08-14T22:12:37.8147114Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8147508Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8147899Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8148276Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8148845Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8149236Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8149611Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8150002Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8150447Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8151171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8151819Z     return mod(**inputs)
2025-08-14T22:12:37.8152555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8153858Z     outputs = self.bert(
2025-08-14T22:12:37.8154585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8155477Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8156232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8156995Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8157663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8158464Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8159230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8160169Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8160935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8161683Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8162414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8163167Z     self_outputs = self.self(
2025-08-14T22:12:37.8163889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8164629Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8165410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8166295Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8166675Z 
2025-08-14T22:12:37.8166819Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8167206Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8167632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8168331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8168962Z     return mod(**inputs)
2025-08-14T22:12:37.8169672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8170432Z     outputs = self.bert(
2025-08-14T22:12:37.8171135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8171911Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8172648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8173411Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8174092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8174810Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8175566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8176352Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8177241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8178030Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8178942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8179841Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8180670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8181472Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8182198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8183096Z     return self.act(input)
2025-08-14T22:12:37.8183310Z 
2025-08-14T22:12:37.8183469Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8183858Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8184252Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8184642Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8185020Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8185404Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8185832Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8186210Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8186655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8187374Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8188026Z     return mod(**inputs)
2025-08-14T22:12:37.8188758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8189549Z     outputs = self.bert(
2025-08-14T22:12:37.8190278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8190419Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8190951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8191125Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8191599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8191751Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8192280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8192432Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8192951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8193075Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8193608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8193742Z     self_outputs = self.self(
2025-08-14T22:12:37.8194363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8194499Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8195011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8195362Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8195377Z 
2025-08-14T22:12:37.8195515Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8195643Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8195818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8196187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8196292Z     return mod(**inputs)
2025-08-14T22:12:37.8196832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8196939Z     outputs = self.bert(
2025-08-14T22:12:37.8197414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8197546Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8198014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8198128Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8198552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8198681Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8199158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8199300Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8199790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8199948Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8200471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8200685Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8201153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8201333Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8201738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8201849Z     return self.act(input)
2025-08-14T22:12:37.8201864Z 
2025-08-14T22:12:37.8201996Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202133Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202258Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202389Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202549Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202671Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202806Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8202929Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8203100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8203472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8203580Z     return mod(**inputs)
2025-08-14T22:12:37.8204056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8204173Z     outputs = self.bert(
2025-08-14T22:12:37.8204653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8204781Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8205249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8205369Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8205799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8205928Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8206405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8206542Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8206995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8207167Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8207638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8207749Z     self_outputs = self.self(
2025-08-14T22:12:37.8208218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8208332Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8208807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8209029Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8209043Z 
2025-08-14T22:12:37.8209173Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8209305Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8209478Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8209843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8209959Z     return mod(**inputs)
2025-08-14T22:12:37.8210434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8210577Z     outputs = self.bert(
2025-08-14T22:12:37.8211050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8211168Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8211641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8211756Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8212170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8212307Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8212780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8212925Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8213418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8213586Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8214118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8214321Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8214796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8214980Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8215376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8215496Z     return self.act(input)
2025-08-14T22:12:37.8215511Z 
2025-08-14T22:12:37.8215640Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8215766Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8215902Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8216027Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8216161Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8216281Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8216405Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8216535Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8216706Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8217067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8217180Z     return mod(**inputs)
2025-08-14T22:12:37.8217710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8217830Z     outputs = self.bert(
2025-08-14T22:12:37.8218303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8218427Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8218907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8219019Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8219434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8219569Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8220037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8220177Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8220635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8220747Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8221218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8221362Z     self_outputs = self.self(
2025-08-14T22:12:37.8221814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8221934Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8227467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8227730Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8227747Z 
2025-08-14T22:12:37.8227891Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8228035Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8228248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8228655Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8228772Z     return mod(**inputs)
2025-08-14T22:12:37.8229375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8229494Z     outputs = self.bert(
2025-08-14T22:12:37.8230038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8230171Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8230699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8230836Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8231306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8231464Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8232000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8232162Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8232728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8232862Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8233450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8233687Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8234216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8234429Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8235059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8235181Z     return self.act(input)
2025-08-14T22:12:37.8235198Z 
2025-08-14T22:12:37.8235351Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8235486Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8235619Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8235760Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8235892Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8236036Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8236168Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8236301Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8236498Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8236893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8237007Z     return mod(**inputs)
2025-08-14T22:12:37.8237546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8237662Z     outputs = self.bert(
2025-08-14T22:12:37.8238222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8238353Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8238864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8238999Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8239453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8239590Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8240109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8240261Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8240874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8241024Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8241519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8241766Z     self_outputs = self.self(
2025-08-14T22:12:37.8242222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8242333Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8242806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8243025Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8243039Z 
2025-08-14T22:12:37.8243181Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8243305Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8243477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8243850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8243957Z     return mod(**inputs)
2025-08-14T22:12:37.8244441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8244547Z     outputs = self.bert(
2025-08-14T22:12:37.8245020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8245147Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8245615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8245730Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8246206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8246336Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8246812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8246952Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8247443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8247570Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8248095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8248296Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8248774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8248957Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8249355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8249496Z     return self.act(input)
2025-08-14T22:12:37.8249510Z 
2025-08-14T22:12:37.8249638Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8249769Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8249895Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8250016Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8250149Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8250272Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8250402Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8250525Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8250698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8251069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8251183Z     return mod(**inputs)
2025-08-14T22:12:37.8251658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8251793Z     outputs = self.bert(
2025-08-14T22:12:37.8252273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8252391Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8252857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8252982Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8253941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8254094Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8254615Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 584, in forward
2025-08-14T22:12:37.8254761Z     self_attention_outputs = self.attention(
2025-08-14T22:12:37.8255271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8255399Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8255914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 514, in forward
2025-08-14T22:12:37.8256038Z     self_outputs = self.self(
2025-08-14T22:12:37.8256537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:12:37.8256660Z     return func(*args, **kwargs)
2025-08-14T22:12:37.8257169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 438, in forward
2025-08-14T22:12:37.8257510Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:12:37.8257529Z 
2025-08-14T22:12:37.8257683Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8257823Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8258025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8258421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8258536Z     return mod(**inputs)
2025-08-14T22:12:37.8259063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1308, in forward
2025-08-14T22:12:37.8259179Z     outputs = self.bert(
2025-08-14T22:12:37.8259694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1028, in forward
2025-08-14T22:12:37.8259834Z     encoder_outputs = self.encoder(
2025-08-14T22:12:37.8260349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 675, in forward
2025-08-14T22:12:37.8260484Z     layer_outputs = layer_module(
2025-08-14T22:12:37.8260937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:12:37.8261121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:12:37.8261637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 614, in forward
2025-08-14T22:12:37.8261787Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:12:37.8262324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:12:37.8262460Z     return forward_fn(*input_tensors)
2025-08-14T22:12:37.8263331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 622, in feed_forward_chunk
2025-08-14T22:12:37.8263571Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:12:37.8264103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 540, in forward
2025-08-14T22:12:37.8264310Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:12:37.8264812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:12:37.8264938Z     return self.act(input)
2025-08-14T22:12:37.8264954Z 
2025-08-14T22:12:37.8265110Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8265249Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8265389Z cudagraph partition due to non gpu ops
2025-08-14T22:12:37.8265594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:12:37.8265997Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:12:37.8266113Z     return mod(**inputs)
2025-08-14T22:12:37.8266655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 1323, in forward
2025-08-14T22:12:37.8266822Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:12:37.8267359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 780, in forward
2025-08-14T22:12:37.8267566Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:12:37.8268091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/bert/modeling_bert.py", line 770, in forward
2025-08-14T22:12:37.8268256Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:12:37.8268272Z 
2025-08-14T22:12:50.7024771Z Compilation time (from dynamo_timed): 35.455074684
2025-08-14T22:12:50.7335929Z pass
2025-08-14T22:12:50.7337040Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:12:50.7338928Z TIMING: _recursive_pre_grad_passes:0.09028 _recursive_joint_graph_passes:1.31654 _recursive_post_grad_passes:0.17571 async_compile.wait:1.06173 code_gen:8.88815 inductor_compile:14.45011 backend_compile:27.62521 gc:0.00045 entire_frame_compile:35.45507 total_wall_time:35.45507
2025-08-14T22:12:50.7340824Z STATS: call_* op count: 550 | FakeTensorMode.__torch_dispatch__:46023 | FakeTensor.__torch_dispatch__:7243 | ProxyTorchDispatchMode.__torch_dispatch__:10169
2025-08-14T22:12:50.7341844Z Dynamo produced 1 graphs covering 550 ops with 0 graph breaks (0 unique)
2025-08-14T22:12:56.3640519Z 
2025-08-14T22:12:58.4148351Z loading model: 0it [00:00, ?it/s]BigBirdForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
2025-08-14T22:12:58.4150951Z   - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
2025-08-14T22:12:58.4152660Z   - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
2025-08-14T22:12:58.4154776Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-14T22:12:58.4158882Z WARNING:transformers.modeling_utils:BigBirdForMaskedLM has generative capabilities, as `prepare_inputs_for_generation` is explicitly defined. However, it doesn't directly inherit from `GenerationMixin`. From 👉v4.50👈 onwards, `PreTrainedModel` will NOT inherit from `GenerationMixin`, and this model will lose the ability to call `generate` and other related functions.
2025-08-14T22:12:58.4161404Z   - If you're using `trust_remote_code=True`, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
2025-08-14T22:12:58.4163041Z   - If you are the owner of the model architecture code, please modify your model class such that it inherits from `GenerationMixin` (after `PreTrainedModel`, otherwise you'll get an exception).
2025-08-14T22:12:58.4164427Z   - If you are not the owner of the model architecture class, please contact the model code owner to update it.
2025-08-14T22:13:00.9077620Z Input ids are automatically padded from 819 to 832 to be a multiple of `config.block_size`: 64
2025-08-14T22:13:00.9079040Z WARNING:transformers.models.big_bird.modeling_big_bird:Input ids are automatically padded from 819 to 832 to be a multiple of `config.block_size`: 64
2025-08-14T22:13:03.0553858Z 
2025-08-14T22:13:03.0554327Z loading model: 0it [00:06, ?it/s]
2025-08-14T22:13:03.0580742Z cpu  eval  hf_BigBird                         
2025-08-14T22:13:08.2671354Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:13:10.8379403Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:13:13.3828862Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:13:17.2394590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:17.2395657Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1897, in forward
2025-08-14T22:13:17.2396701Z     attention_mask = torch.ones(((batch_size, seq_length + past_key_values_length)), device=device)
2025-08-14T22:13:17.2397186Z 
2025-08-14T22:13:21.1263909Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:21.1265071Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2090, in torch_dynamo_resume_in__pad_to_block_size_at_2085
2025-08-14T22:13:21.1266583Z     input_ids = nn.functional.pad(input_ids, (0, padding_len), value=pad_token_id)
2025-08-14T22:13:21.1267453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:13:21.1268167Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:13:21.1268487Z 
2025-08-14T22:13:21.1268698Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:21.1269769Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2103, in torch_dynamo_resume_in__pad_to_block_size_at_2085
2025-08-14T22:13:21.1270805Z     attention_mask = nn.functional.pad(
2025-08-14T22:13:21.1271469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:13:21.1272166Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:13:21.1272487Z 
2025-08-14T22:13:21.1272682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:21.1273763Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2106, in torch_dynamo_resume_in__pad_to_block_size_at_2085
2025-08-14T22:13:21.1275139Z     token_type_ids = nn.functional.pad(token_type_ids, (0, padding_len), value=0)  # pad with token_type_id = 0
2025-08-14T22:13:21.1276205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:13:21.1276873Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:13:21.1277172Z 
2025-08-14T22:13:22.9696688Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:22.9697793Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1983, in torch_dynamo_resume_in_forward_at_1935
2025-08-14T22:13:22.9698777Z     embedding_output = self.embeddings(
2025-08-14T22:13:22.9699602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 292, in forward
2025-08-14T22:13:22.9700463Z     embeddings += position_embeddings
2025-08-14T22:13:22.9700723Z 
2025-08-14T22:13:22.9700872Z cudagraph partition due to non gpu ops
2025-08-14T22:13:22.9701263Z cudagraph partition due to non gpu ops
2025-08-14T22:13:22.9701912Z cudagraph partition due to non gpu ops
2025-08-14T22:13:22.9702341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:22.9703676Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1947, in torch_dynamo_resume_in_forward_at_1935
2025-08-14T22:13:22.9704881Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-14T22:13:22.9706075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2060, in create_masks_for_block_sparse_attn
2025-08-14T22:13:22.9707204Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-14T22:13:22.9708334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2052, in create_band_mask_from_inputs
2025-08-14T22:13:22.9709271Z     exp_blocked_to_pad = torch.cat(
2025-08-14T22:13:22.9709527Z 
2025-08-14T22:13:22.9709735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:22.9710754Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1947, in torch_dynamo_resume_in_forward_at_1935
2025-08-14T22:13:22.9711955Z     blocked_encoder_mask, band_mask, from_mask, to_mask = self.create_masks_for_block_sparse_attn(
2025-08-14T22:13:22.9713355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2060, in create_masks_for_block_sparse_attn
2025-08-14T22:13:22.9714499Z     band_mask = create_band_mask_from_inputs(blocked_encoder_mask, blocked_encoder_mask)
2025-08-14T22:13:22.9715866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2055, in create_band_mask_from_inputs
2025-08-14T22:13:22.9716958Z     band_mask = torch.einsum("blq,blk->blqk", from_blocked_mask[:, 2:-2], exp_blocked_to_pad)
2025-08-14T22:13:22.9717427Z 
2025-08-14T22:13:26.2506498Z cudagraph partition due to non gpu ops
2025-08-14T22:13:26.2507018Z cudagraph partition due to non gpu ops
2025-08-14T22:13:26.2507427Z cudagraph partition due to non gpu ops
2025-08-14T22:13:26.2507876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:26.2508798Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:13:26.2509640Z     self.query(hidden_states)
2025-08-14T22:13:26.2509872Z 
2025-08-14T22:13:26.2510083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:26.2510986Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:13:26.2511811Z     self.key(hidden_states)
2025-08-14T22:13:26.2512023Z 
2025-08-14T22:13:26.2512227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:26.2513381Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:13:26.2514209Z     self.value(hidden_states)
2025-08-14T22:13:26.2514443Z 
2025-08-14T22:13:32.7808824Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7809334Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7809723Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7810115Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7810505Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7810879Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7811271Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7811662Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7812085Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7812473Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7812864Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7813252Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7813866Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7814253Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7814638Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7815072Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7816216Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 647, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7817346Z     to_mask.new_ones([bsz, 1, 1, n_rand_blocks * to_block_size]),
2025-08-14T22:13:32.7817687Z 
2025-08-14T22:13:32.7817846Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7818247Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7818683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7819786Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7821056Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-14T22:13:32.7822504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7823853Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:13:32.7824326Z 
2025-08-14T22:13:32.7824474Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7824880Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7825380Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7826700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 642, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7828038Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-14T22:13:32.7829211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7830309Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:13:32.7830781Z 
2025-08-14T22:13:32.7830929Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7831333Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7831778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7832921Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 698, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7834009Z     first_band_product = torch.einsum(
2025-08-14T22:13:32.7834391Z 
2025-08-14T22:13:32.7834600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7835742Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 704, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7836786Z     last_band_product = torch.einsum(
2025-08-14T22:13:32.7837032Z 
2025-08-14T22:13:32.7837186Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7837573Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7837993Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7839083Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 776, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7840428Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-14T22:13:32.7841594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7842693Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:13:32.7843140Z 
2025-08-14T22:13:32.7843280Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7843672Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7844091Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7845185Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7846436Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-14T22:13:32.7847543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7848590Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:13:32.7849045Z 
2025-08-14T22:13:32.7849235Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7850327Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 653, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7851477Z     rand_mask.new_ones([bsz, n_heads, from_block_size, 4 * to_block_size]),
2025-08-14T22:13:32.7851854Z 
2025-08-14T22:13:32.7851995Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7852385Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7852770Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7853585Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7854080Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7854471Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7854856Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7855281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7856395Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7857661Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-14T22:13:32.7858772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 494, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7859820Z     inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:]).transpose(1, 2)
2025-08-14T22:13:32.7860270Z 
2025-08-14T22:13:32.7860466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7861557Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 611, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7862903Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-14T22:13:32.7864103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.7865191Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.7865687Z 
2025-08-14T22:13:32.7865897Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7867031Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 574, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7868106Z     rand_attn = np.stack(rand_attn, axis=0)
2025-08-14T22:13:32.7868391Z 
2025-08-14T22:13:32.7868584Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7869712Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 643, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7870834Z     second_seq_pad = torch.cat(
2025-08-14T22:13:32.7871061Z 
2025-08-14T22:13:32.7871253Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7872387Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 777, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7873454Z     second_last_seq_pad = torch.cat(
2025-08-14T22:13:32.7873701Z 
2025-08-14T22:13:32.7873908Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7875102Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 577, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7876239Z     rand_attn = torch.cat([rand_attn for _ in range(batch_size)], dim=0)
2025-08-14T22:13:32.7876610Z 
2025-08-14T22:13:32.7876809Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7877899Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7878948Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:13:32.7879884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:13:32.7880971Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7882035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:13:32.7883020Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7883470Z 
2025-08-14T22:13:32.7883666Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7892568Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7893645Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:13:32.7894571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:13:32.7895656Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7896664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:13:32.7897667Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7898105Z 
2025-08-14T22:13:32.7898338Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7899432Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7900506Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:13:32.7901442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:13:32.7902511Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7903782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:13:32.7904805Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7905255Z 
2025-08-14T22:13:32.7905464Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7906619Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7907723Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:13:32.7908687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:13:32.7909799Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7910818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in <listcomp>
2025-08-14T22:13:32.7911848Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7912304Z 
2025-08-14T22:13:32.7912513Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7913646Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 579, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7914824Z     rand_mask = self._create_rand_mask_from_inputs(
2025-08-14T22:13:32.7915862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 994, in _create_rand_mask_from_inputs
2025-08-14T22:13:32.7916910Z     rand_mask = torch.stack([p1[i1.flatten()] for p1, i1 in zip(to_blocked_mask, rand_attn)])
2025-08-14T22:13:32.7917335Z 
2025-08-14T22:13:32.7917486Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7917859Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7918537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7919633Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 620, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7920662Z     second_key_mat = torch.cat(
2025-08-14T22:13:32.7920895Z 
2025-08-14T22:13:32.7921083Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7922171Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 642, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7923462Z     second_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 1], second_key_mat, ndim=4)
2025-08-14T22:13:32.7924666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7925515Z     return torch.bmm(
2025-08-14T22:13:32.7925714Z 
2025-08-14T22:13:32.7925899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7926961Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 651, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7927996Z     second_rand_pad = torch.cat(
2025-08-14T22:13:32.7928226Z 
2025-08-14T22:13:32.7928409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7929466Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 630, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7930581Z     second_value_mat = torch.cat(
2025-08-14T22:13:32.7930789Z 
2025-08-14T22:13:32.7930961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7931957Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 665, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7933085Z     second_context_layer = self.torch_bmm_nd(second_attn_weights, second_value_mat, ndim=4)
2025-08-14T22:13:32.7934030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.7935013Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.7935462Z 
2025-08-14T22:13:32.7935634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7936635Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 754, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7937581Z     second_last_key_mat = torch.cat(
2025-08-14T22:13:32.7937800Z 
2025-08-14T22:13:32.7937973Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7938977Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 776, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7940198Z     second_last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -2], second_last_key_mat, ndim=4)
2025-08-14T22:13:32.7941277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7942058Z     return torch.bmm(
2025-08-14T22:13:32.7942237Z 
2025-08-14T22:13:32.7942407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7943731Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 785, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7944803Z     second_last_rand_pad = torch.cat(
2025-08-14T22:13:32.7945052Z 
2025-08-14T22:13:32.7945360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7946472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 764, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7949751Z     second_last_value_mat = torch.cat(
2025-08-14T22:13:32.7950007Z 
2025-08-14T22:13:32.7950215Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7951339Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 799, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7952726Z     second_last_context_layer = self.torch_bmm_nd(second_last_attn_weights, second_last_value_mat, ndim=4)
2025-08-14T22:13:32.7954313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.7955531Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.7956016Z 
2025-08-14T22:13:32.7956174Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7956555Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7957090Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7958197Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 602, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7959457Z     first_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, 0], key_layer, ndim=4)
2025-08-14T22:13:32.7960552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7961422Z     return torch.bmm(
2025-08-14T22:13:32.7961605Z 
2025-08-14T22:13:32.7961807Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7962889Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 807, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7964189Z     last_product = self.torch_bmm_nd_transpose(blocked_query_matrix[:, :, -1], key_layer, ndim=4)
2025-08-14T22:13:32.7965290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7966245Z     return torch.bmm(
2025-08-14T22:13:32.7966420Z 
2025-08-14T22:13:32.7966600Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7967659Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 611, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7968822Z     first_context_layer = self.torch_bmm_nd(first_attn_weights, value_layer, ndim=4)
2025-08-14T22:13:32.7969800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.7970806Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.7971285Z 
2025-08-14T22:13:32.7971469Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7972529Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 813, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7973680Z     last_context_layer = self.torch_bmm_nd(last_attn_weights, value_layer, ndim=4)
2025-08-14T22:13:32.7974619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.7975716Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.7976195Z 
2025-08-14T22:13:32.7976379Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7977438Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 676, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7978450Z     exp_blocked_key_matrix = torch.cat(
2025-08-14T22:13:32.7978693Z 
2025-08-14T22:13:32.7978874Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7979930Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 679, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7980943Z     exp_blocked_value_matrix = torch.cat(
2025-08-14T22:13:32.7981193Z 
2025-08-14T22:13:32.7981331Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7981711Z cudagraph partition due to non gpu ops
2025-08-14T22:13:32.7982138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7983539Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 698, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7984642Z     first_band_product = torch.einsum(
2025-08-14T22:13:32.7984913Z 
2025-08-14T22:13:32.7985107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7986226Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 704, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7987301Z     last_band_product = torch.einsum(
2025-08-14T22:13:32.7987553Z 
2025-08-14T22:13:32.7987745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7988865Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 711, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7990111Z     first_band_product += (1.0 - to_mask[:, :, :, :to_block_size].unsqueeze(3)) * attn_mask_penalty
2025-08-14T22:13:32.7990557Z 
2025-08-14T22:13:32.7990763Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7991909Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 712, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7993147Z     last_band_product += (1.0 - to_mask[:, :, :, -to_block_size:].unsqueeze(3)) * attn_mask_penalty
2025-08-14T22:13:32.7993602Z 
2025-08-14T22:13:32.7993795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7995018Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 687, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.7996445Z     inner_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, exp_blocked_key_matrix, ndim=5)
2025-08-14T22:13:32.7997496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:13:32.7998299Z     return torch.bmm(
2025-08-14T22:13:32.7998467Z 
2025-08-14T22:13:32.7998655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.7999647Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 710, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8000664Z     inner_band_product += (1.0 - band_mask) * attn_mask_penalty
2025-08-14T22:13:32.8000981Z 
2025-08-14T22:13:32.8001158Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8002157Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 693, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8003379Z     rand_band_product = self.torch_bmm_nd_transpose(middle_query_matrix, gathered_key[:, :, 1:-1], ndim=5)
2025-08-14T22:13:32.8004659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 493, in torch_bmm_nd_transpose
2025-08-14T22:13:32.8005507Z     return torch.bmm(
2025-08-14T22:13:32.8005684Z 
2025-08-14T22:13:32.8005881Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8006924Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 713, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8008025Z     rand_band_product += (1.0 - rand_mask[:, :, 1:-1]) * attn_mask_penalty
2025-08-14T22:13:32.8008391Z 
2025-08-14T22:13:32.8008576Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8010018Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 716, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8011045Z     band_product = torch.cat(
2025-08-14T22:13:32.8011277Z 
2025-08-14T22:13:32.8011467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8012606Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 727, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8013651Z     context_layer = self.torch_bmm_nd(
2025-08-14T22:13:32.8014513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.8015565Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.8016048Z 
2025-08-14T22:13:32.8016252Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8017350Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 734, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8018374Z     context_layer += self.torch_bmm_nd(
2025-08-14T22:13:32.8019234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 485, in torch_bmm_nd
2025-08-14T22:13:32.8020278Z     return torch.bmm(inp_1.reshape((-1,) + inp_1.shape[-2:]), inp_2.reshape((-1,) + inp_2.shape[-2:])).view(
2025-08-14T22:13:32.8020754Z 
2025-08-14T22:13:32.8020955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8022029Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 740, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8023341Z     context_layer += torch.einsum(
2025-08-14T22:13:32.8023581Z 
2025-08-14T22:13:32.8023787Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8024915Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 743, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8025975Z     context_layer += torch.einsum(
2025-08-14T22:13:32.8026226Z 
2025-08-14T22:13:32.8026419Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8027542Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 743, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8028605Z     context_layer += torch.einsum(
2025-08-14T22:13:32.8028843Z 
2025-08-14T22:13:32.8029036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8030162Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 817, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8031310Z     context_layer = torch.cat(
2025-08-14T22:13:32.8031536Z 
2025-08-14T22:13:32.8031741Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:32.8032850Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 821, in torch_dynamo_resume_in_bigbird_block_sparse_attention_at_564
2025-08-14T22:13:32.8034088Z     context_layer = context_layer.view((bsz, n_heads, from_seq_len, -1)) * from_mask
2025-08-14T22:13:32.8034736Z 
2025-08-14T22:13:41.1759715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:41.1760795Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 478, in torch_dynamo_resume_in_forward_at_455
2025-08-14T22:13:41.1761924Z     context_layer = context_layer.contiguous().view(batch_size, from_seq_length, -1)
2025-08-14T22:13:41.1762367Z 
2025-08-14T22:13:42.3269384Z cudagraph partition due to non gpu ops
2025-08-14T22:13:43.8264283Z cudagraph partition due to non gpu ops
2025-08-14T22:13:43.8264818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:43.8265896Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:13:43.8267167Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:13:43.8268019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:13:43.8268849Z     return forward_fn(*input_tensors)
2025-08-14T22:13:43.8269728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:13:43.8270706Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:13:43.8271645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:13:43.8272552Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:13:43.8273338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:13:43.8274439Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:13:43.8274936Z 
2025-08-14T22:13:43.8275083Z cudagraph partition due to non gpu ops
2025-08-14T22:13:45.3924292Z cudagraph partition due to non gpu ops
2025-08-14T22:13:45.3924801Z cudagraph partition due to non gpu ops
2025-08-14T22:13:45.3925183Z cudagraph partition due to non gpu ops
2025-08-14T22:13:45.3925638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:45.3926656Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:13:45.3930011Z     self.query(hidden_states)
2025-08-14T22:13:45.3930236Z 
2025-08-14T22:13:45.3930456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:45.3931322Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:13:45.3932144Z     self.key(hidden_states)
2025-08-14T22:13:45.3932354Z 
2025-08-14T22:13:45.3932542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:45.3933400Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:13:45.3934203Z     self.value(hidden_states)
2025-08-14T22:13:45.3934418Z 
2025-08-14T22:13:47.1443652Z cudagraph partition due to non gpu ops
2025-08-14T22:13:47.6390123Z cudagraph partition due to non gpu ops
2025-08-14T22:13:47.6390665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:47.6392080Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:13:47.6393138Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:13:47.6393975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:13:47.6394940Z     return forward_fn(*input_tensors)
2025-08-14T22:13:47.6395805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:13:47.6396756Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:13:47.6397659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:13:47.6398547Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:13:47.6399319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:13:47.6400230Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:13:47.6400728Z 
2025-08-14T22:13:47.6400880Z cudagraph partition due to non gpu ops
2025-08-14T22:13:48.2421196Z cudagraph partition due to non gpu ops
2025-08-14T22:13:48.2421670Z cudagraph partition due to non gpu ops
2025-08-14T22:13:48.2422215Z cudagraph partition due to non gpu ops
2025-08-14T22:13:48.2430240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:48.2431152Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:13:48.2431993Z     self.query(hidden_states)
2025-08-14T22:13:48.2432220Z 
2025-08-14T22:13:48.2432432Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:48.2433308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:13:48.2434263Z     self.key(hidden_states)
2025-08-14T22:13:48.2434484Z 
2025-08-14T22:13:48.2434672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:48.2435533Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:13:48.2436581Z     self.value(hidden_states)
2025-08-14T22:13:48.2436809Z 
2025-08-14T22:13:50.0099446Z cudagraph partition due to non gpu ops
2025-08-14T22:13:50.5058400Z cudagraph partition due to non gpu ops
2025-08-14T22:13:50.5058913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:50.5059938Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:13:50.5060916Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:13:50.5061763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:13:50.5062674Z     return forward_fn(*input_tensors)
2025-08-14T22:13:50.5063714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:13:50.5064729Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:13:50.5065651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:13:50.5066561Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:13:50.5067330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:13:50.5068271Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:13:50.5068767Z 
2025-08-14T22:13:50.5068930Z cudagraph partition due to non gpu ops
2025-08-14T22:13:51.1200200Z cudagraph partition due to non gpu ops
2025-08-14T22:13:51.1200674Z cudagraph partition due to non gpu ops
2025-08-14T22:13:51.1201064Z cudagraph partition due to non gpu ops
2025-08-14T22:13:51.1201514Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:51.1202419Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:13:51.1203229Z     self.query(hidden_states)
2025-08-14T22:13:51.1203451Z 
2025-08-14T22:13:51.1203650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:51.1204520Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:13:51.1205303Z     self.key(hidden_states)
2025-08-14T22:13:51.1205521Z 
2025-08-14T22:13:51.1205708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:51.1206574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:13:51.1207363Z     self.value(hidden_states)
2025-08-14T22:13:51.1207591Z 
2025-08-14T22:13:52.8761804Z cudagraph partition due to non gpu ops
2025-08-14T22:13:53.3725990Z cudagraph partition due to non gpu ops
2025-08-14T22:13:53.3726767Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:53.3727815Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:13:53.3728809Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:13:53.3729612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:13:53.3730492Z     return forward_fn(*input_tensors)
2025-08-14T22:13:53.3731372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:13:53.3732332Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:13:53.3733223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:13:53.3734315Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:13:53.3745537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:13:53.3746511Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:13:53.3747009Z 
2025-08-14T22:13:53.3747161Z cudagraph partition due to non gpu ops
2025-08-14T22:13:53.9786638Z cudagraph partition due to non gpu ops
2025-08-14T22:13:53.9787104Z cudagraph partition due to non gpu ops
2025-08-14T22:13:53.9787514Z cudagraph partition due to non gpu ops
2025-08-14T22:13:53.9788198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:53.9789161Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:13:53.9789989Z     self.query(hidden_states)
2025-08-14T22:13:53.9790248Z 
2025-08-14T22:13:53.9790445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:53.9791333Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:13:53.9792161Z     self.key(hidden_states)
2025-08-14T22:13:53.9792375Z 
2025-08-14T22:13:53.9792570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:53.9793454Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:13:53.9794279Z     self.value(hidden_states)
2025-08-14T22:13:53.9794503Z 
2025-08-14T22:13:56.1670204Z cudagraph partition due to non gpu ops
2025-08-14T22:13:56.6689753Z cudagraph partition due to non gpu ops
2025-08-14T22:13:56.6690397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:56.6691442Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:13:56.6692441Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:13:56.6693245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:13:56.6694058Z     return forward_fn(*input_tensors)
2025-08-14T22:13:56.6694914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:13:56.6695870Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:13:56.6696765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:13:56.6697650Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:13:56.6698407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:13:56.6699400Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:13:56.6699883Z 
2025-08-14T22:13:56.6700029Z cudagraph partition due to non gpu ops
2025-08-14T22:13:57.2818868Z cudagraph partition due to non gpu ops
2025-08-14T22:13:57.2819388Z cudagraph partition due to non gpu ops
2025-08-14T22:13:57.2819788Z cudagraph partition due to non gpu ops
2025-08-14T22:13:57.2820221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:57.2821126Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:13:57.2821939Z     self.query(hidden_states)
2025-08-14T22:13:57.2822163Z 
2025-08-14T22:13:57.2822402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:57.2823617Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:13:57.2824721Z     self.key(hidden_states)
2025-08-14T22:13:57.2824935Z 
2025-08-14T22:13:57.2825146Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:57.2826016Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:13:57.2826841Z     self.value(hidden_states)
2025-08-14T22:13:57.2827075Z 
2025-08-14T22:13:59.0465547Z cudagraph partition due to non gpu ops
2025-08-14T22:13:59.5506404Z cudagraph partition due to non gpu ops
2025-08-14T22:13:59.5506945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:13:59.5508030Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:13:59.5509052Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:13:59.5509892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:13:59.5510738Z     return forward_fn(*input_tensors)
2025-08-14T22:13:59.5511604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:13:59.5512594Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:13:59.5513518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:13:59.5514424Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:13:59.5515317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:13:59.5516552Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:13:59.5517039Z 
2025-08-14T22:13:59.5517206Z cudagraph partition due to non gpu ops
2025-08-14T22:14:00.1662324Z cudagraph partition due to non gpu ops
2025-08-14T22:14:00.1662877Z cudagraph partition due to non gpu ops
2025-08-14T22:14:00.1663459Z cudagraph partition due to non gpu ops
2025-08-14T22:14:00.1663914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:00.1664822Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:14:00.1665660Z     self.query(hidden_states)
2025-08-14T22:14:00.1665897Z 
2025-08-14T22:14:00.1666094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:00.1666983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:14:00.1667816Z     self.key(hidden_states)
2025-08-14T22:14:00.1668043Z 
2025-08-14T22:14:00.1668242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:00.1669131Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:14:00.1670232Z     self.value(hidden_states)
2025-08-14T22:14:00.1670458Z 
2025-08-14T22:14:01.9250976Z cudagraph partition due to non gpu ops
2025-08-14T22:14:02.4243661Z cudagraph partition due to non gpu ops
2025-08-14T22:14:02.4244197Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:02.4245236Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:14:02.4246221Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:14:02.4247065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:02.4247878Z     return forward_fn(*input_tensors)
2025-08-14T22:14:02.4248720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:14:02.4249971Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:14:02.4250870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:14:02.4251750Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:14:02.4252505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:14:02.4253920Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:14:02.4254410Z 
2025-08-14T22:14:02.4254572Z cudagraph partition due to non gpu ops
2025-08-14T22:14:03.0342153Z cudagraph partition due to non gpu ops
2025-08-14T22:14:03.0342722Z cudagraph partition due to non gpu ops
2025-08-14T22:14:03.0343301Z cudagraph partition due to non gpu ops
2025-08-14T22:14:03.0343757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:03.0344685Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 440, in forward
2025-08-14T22:14:03.0345520Z     self.query(hidden_states)
2025-08-14T22:14:03.0345747Z 
2025-08-14T22:14:03.0345955Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:03.0346850Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 445, in forward
2025-08-14T22:14:03.0347658Z     self.key(hidden_states)
2025-08-14T22:14:03.0347885Z 
2025-08-14T22:14:03.0348078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:03.0349245Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 450, in forward
2025-08-14T22:14:03.0350066Z     self.value(hidden_states)
2025-08-14T22:14:03.0350305Z 
2025-08-14T22:14:04.7978748Z cudagraph partition due to non gpu ops
2025-08-14T22:14:05.3031075Z cudagraph partition due to non gpu ops
2025-08-14T22:14:05.3031585Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:05.3032677Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1505, in torch_dynamo_resume_in_forward_at_1468
2025-08-14T22:14:05.3033688Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:14:05.3034634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:05.3035426Z     return forward_fn(*input_tensors)
2025-08-14T22:14:05.3036278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1512, in feed_forward_chunk
2025-08-14T22:14:05.3037271Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:14:05.3038161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1402, in forward
2025-08-14T22:14:05.3039322Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:14:05.3040088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:14:05.3041002Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:14:05.3041481Z 
2025-08-14T22:14:05.3041626Z cudagraph partition due to non gpu ops
2025-08-14T22:14:05.4825181Z W0814 22:14:05.481734 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T22:14:05.4827482Z W0814 22:14:05.481734 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8]    function: 'forward' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:417)
2025-08-14T22:14:05.4832044Z W0814 22:14:05.481734 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8]    last reason: 10/7: self.seed == 7                                           # context_layer, attention_probs = self.bigbird_block_sparse_attention(  # transformers/models/big_bird/modeling_big_bird.py:455 in forward (HINT: torch.compile considers integer attributes of the nn.Module to be static. If you are observing recompilation, you might want to make this integer dynamic using torch._dynamo.config.allow_unspec_int_on_nn_module = True, or convert this integer into a tensor.)
2025-08-14T22:14:05.4835662Z W0814 22:14:05.481734 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T22:14:05.4837613Z W0814 22:14:05.481734 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [10/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T22:14:05.5545867Z W0814 22:14:05.553829 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T22:14:05.5548234Z W0814 22:14:05.553829 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8]    function: 'torch_dynamo_resume_in_forward_at_1381' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:1381)
2025-08-14T22:14:05.5551422Z W0814 22:14:05.553829 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8]    last reason: 17/7: ___check_obj_id(self._modules['output']._modules['dense']._parameters['bias'], 140703132197728)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:134 in forward
2025-08-14T22:14:05.5554508Z W0814 22:14:05.553829 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T22:14:05.5557004Z W0814 22:14:05.553829 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [17/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T22:14:05.5635603Z W0814 22:14:05.562893 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] torch._dynamo hit config.recompile_limit (8)
2025-08-14T22:14:05.5637844Z W0814 22:14:05.562893 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8]    function: 'torch_dynamo_resume_in_forward_at_1468' (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py:1468)
2025-08-14T22:14:05.5640924Z W0814 22:14:05.562893 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8]    last reason: 18/7: ___check_obj_id(self._modules['output']._modules['dense']._parameters['bias'], 140703132197008)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:134 in forward
2025-08-14T22:14:05.5643392Z W0814 22:14:05.562893 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] To log all recompilation reasons, use TORCH_LOGS="recompiles".
2025-08-14T22:14:05.5650448Z W0814 22:14:05.562893 20092 site-packages/torch/_dynamo/convert_frame.py:1102] [18/8] To diagnose recompilation issues, see https://pytorch.org/docs/main/torch.compiler_troubleshooting.html
2025-08-14T22:14:06.1775611Z cudagraph partition due to non gpu ops
2025-08-14T22:14:06.1776138Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:06.1777181Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2010, in torch_dynamo_resume_in_forward_at_1991
2025-08-14T22:14:06.1778424Z     pooler_output = self.activation(self.pooler(sequence_output[:, 0, :])) if (self.pooler is not None) else None
2025-08-14T22:14:06.1778996Z 
2025-08-14T22:14:06.7126135Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:06.7127299Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303
2025-08-14T22:14:06.7128301Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:14:06.7129152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-14T22:14:06.7130290Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:14:06.7131172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-14T22:14:06.7132012Z     hidden_states = self.transform(hidden_states)
2025-08-14T22:14:06.7132838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-14T22:14:06.7133663Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:06.7133933Z 
2025-08-14T22:14:06.7134147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:06.7135140Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303
2025-08-14T22:14:06.7136130Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:14:06.7136966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-14T22:14:06.7137842Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:14:06.7138702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1670, in forward
2025-08-14T22:14:06.7139545Z     hidden_states = self.transform(hidden_states)
2025-08-14T22:14:06.7140379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1645, in forward
2025-08-14T22:14:06.7141199Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:14:06.7141595Z 
2025-08-14T22:14:06.7141743Z cudagraph partition due to non gpu ops
2025-08-14T22:14:06.7142186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:06.7143731Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 2318, in torch_dynamo_resume_in_forward_at_2303
2025-08-14T22:14:06.7144759Z     prediction_scores = self.cls(sequence_output)
2025-08-14T22:14:06.7145611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1682, in forward
2025-08-14T22:14:06.7146517Z     prediction_scores = self.predictions(sequence_output)
2025-08-14T22:14:06.7147416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/big_bird/modeling_big_bird.py", line 1671, in forward
2025-08-14T22:14:06.7148260Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:14:06.7148560Z 
2025-08-14T22:14:10.2339143Z Compilation time (from dynamo_timed): 52.175400947
2025-08-14T22:14:10.2904700Z pass
2025-08-14T22:14:10.2905341Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:10.2906992Z TIMING: gc:0.0403 entire_frame_compile:52.1754 _recursive_pre_grad_passes:0.12357 _recursive_joint_graph_passes:0.67945 _recursive_post_grad_passes:0.19712 async_compile.wait:8.02409 code_gen:22.93123 inductor_compile:27.37334 backend_compile:34.99482 total_wall_time:52.1754
2025-08-14T22:14:10.2909290Z STATS: call_* op count: 497 | FakeTensorMode.__torch_dispatch__:26685 | ProxyTorchDispatchMode.__torch_dispatch__:5644 | FakeTensor.__torch_dispatch__:4529
2025-08-14T22:14:10.2910346Z Dynamo produced 42 graphs covering 497 ops with 25 graph breaks (2 unique)
2025-08-14T22:14:16.0673462Z 
2025-08-14T22:14:17.1210401Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:14:17.1210728Z 
2025-08-14T22:14:17.1283397Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-08-14T22:14:17.1283907Z config.json: 100% 483/483 [00:00<00:00, 65.3kB/s]
2025-08-14T22:14:19.9941579Z 
2025-08-14T22:14:19.9942263Z loading model: 0it [00:03, ?it/s]
2025-08-14T22:14:19.9953065Z cpu  eval  hf_DistilBert                      
2025-08-14T22:14:21.3202149Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:21.9097108Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:22.4888582Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:32.0621830Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0622330Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0622923Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0623303Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0623690Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0624073Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0624671Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0625073Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0625468Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0625872Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0626273Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0626669Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0627071Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0627554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0628294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0628964Z     return mod(**inputs)
2025-08-14T22:14:32.0629796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0630678Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0631846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0632743Z     return self.transformer(
2025-08-14T22:14:32.0633572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0634440Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0635260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0635987Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0636832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:14:32.0637664Z     sa_output = self.attention(
2025-08-14T22:14:32.0638471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:14:32.0639433Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:14:32.0639806Z 
2025-08-14T22:14:32.0639965Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0640347Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0640852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0641569Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0642200Z     return mod(**inputs)
2025-08-14T22:14:32.0642994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0643846Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0644665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0645504Z     return self.transformer(
2025-08-14T22:14:32.0646306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0647145Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0647815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0648605Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0649448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:14:32.0650362Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:14:32.0651257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:14:32.0652366Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:14:32.0653943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:32.0654752Z     return forward_fn(*input_tensors)
2025-08-14T22:14:32.0655579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:14:32.0656423Z     x = self.activation(x)
2025-08-14T22:14:32.0657053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:14:32.0657721Z     return self.act(input)
2025-08-14T22:14:32.0657937Z 
2025-08-14T22:14:32.0658078Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0658466Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0658853Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0659222Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0659602Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0659984Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0660352Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0662028Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0662588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0663481Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0664159Z     return mod(**inputs)
2025-08-14T22:14:32.0673836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0674724Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0675667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0676508Z     return self.transformer(
2025-08-14T22:14:32.0677303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0678127Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0678821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0679549Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0680463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:14:32.0681296Z     sa_output = self.attention(
2025-08-14T22:14:32.0682111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:14:32.0683062Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:14:32.0683428Z 
2025-08-14T22:14:32.0683585Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0683960Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0684451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0685167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0685809Z     return mod(**inputs)
2025-08-14T22:14:32.0686597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0687487Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0688318Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0689158Z     return self.transformer(
2025-08-14T22:14:32.0689949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0690788Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0691469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0692191Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0693024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:14:32.0693935Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:14:32.0694850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:14:32.0695960Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:14:32.0697005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:32.0697809Z     return forward_fn(*input_tensors)
2025-08-14T22:14:32.0698644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:14:32.0699484Z     x = self.activation(x)
2025-08-14T22:14:32.0700170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:14:32.0700852Z     return self.act(input)
2025-08-14T22:14:32.0701053Z 
2025-08-14T22:14:32.0701207Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0701587Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0701971Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0702350Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0702812Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0703194Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0703577Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0704145Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0704582Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0705315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0705982Z     return mod(**inputs)
2025-08-14T22:14:32.0706784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0707660Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0708507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0709413Z     return self.transformer(
2025-08-14T22:14:32.0710224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0711085Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0711788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0712519Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0713390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:14:32.0714378Z     sa_output = self.attention(
2025-08-14T22:14:32.0715186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:14:32.0716158Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:14:32.0716534Z 
2025-08-14T22:14:32.0716676Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0717065Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0717489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0718194Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0718834Z     return mod(**inputs)
2025-08-14T22:14:32.0719616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0720450Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0721285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0722125Z     return self.transformer(
2025-08-14T22:14:32.0722924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0723758Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0724438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0725156Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0725985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:14:32.0726963Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:14:32.0728064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:14:32.0729173Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:14:32.0730221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:32.0731083Z     return forward_fn(*input_tensors)
2025-08-14T22:14:32.0731921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:14:32.0732759Z     x = self.activation(x)
2025-08-14T22:14:32.0733379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:14:32.0734056Z     return self.act(input)
2025-08-14T22:14:32.0734258Z 
2025-08-14T22:14:32.0734409Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0734840Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0735223Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0735611Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0735980Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0736361Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0736807Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0737185Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0737609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0738318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0738961Z     return mod(**inputs)
2025-08-14T22:14:32.0739733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0740579Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0741411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0742253Z     return self.transformer(
2025-08-14T22:14:32.0743319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0744191Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0744939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0745696Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0746565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:14:32.0747416Z     sa_output = self.attention(
2025-08-14T22:14:32.0748249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:14:32.0749227Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:14:32.0749601Z 
2025-08-14T22:14:32.0749764Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0750153Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0750605Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0751336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0751989Z     return mod(**inputs)
2025-08-14T22:14:32.0752805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0754111Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0755094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0755922Z     return self.transformer(
2025-08-14T22:14:32.0756729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0757701Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0758380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0759108Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0759965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:14:32.0760883Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:14:32.0761782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:14:32.0762895Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:14:32.0763963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:32.0764765Z     return forward_fn(*input_tensors)
2025-08-14T22:14:32.0765697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:14:32.0766514Z     x = self.activation(x)
2025-08-14T22:14:32.0767180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:14:32.0767827Z     return self.act(input)
2025-08-14T22:14:32.0768035Z 
2025-08-14T22:14:32.0768172Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0768550Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0768929Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0769289Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0769660Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0770032Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0770400Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0771016Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0771462Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0772159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0772803Z     return mod(**inputs)
2025-08-14T22:14:32.0773635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0774482Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0775299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0776133Z     return self.transformer(
2025-08-14T22:14:32.0776938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0777761Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0778453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0779178Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0780023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:14:32.0780855Z     sa_output = self.attention(
2025-08-14T22:14:32.0781661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:14:32.0782703Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:14:32.0783250Z 
2025-08-14T22:14:32.0783413Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0783806Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0784269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0784999Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0785644Z     return mod(**inputs)
2025-08-14T22:14:32.0786520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0787394Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0788248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0789098Z     return self.transformer(
2025-08-14T22:14:32.0790129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0791052Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0791748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0792554Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0793427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:14:32.0794368Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:14:32.0795405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:14:32.0796562Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:14:32.0797620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:32.0798418Z     return forward_fn(*input_tensors)
2025-08-14T22:14:32.0799244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:14:32.0800083Z     x = self.activation(x)
2025-08-14T22:14:32.0800714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:14:32.0801386Z     return self.act(input)
2025-08-14T22:14:32.0801602Z 
2025-08-14T22:14:32.0801742Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0802131Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0802551Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0802922Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0803307Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0803687Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0804056Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0804438Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0804875Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0805571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0806209Z     return mod(**inputs)
2025-08-14T22:14:32.0806998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0807939Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0808837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0809607Z     return self.transformer(
2025-08-14T22:14:32.0810340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0811109Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0811725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0812386Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0813357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 476, in forward
2025-08-14T22:14:32.0814157Z     sa_output = self.attention(
2025-08-14T22:14:32.0815001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 402, in forward
2025-08-14T22:14:32.0815925Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:14:32.0816285Z 
2025-08-14T22:14:32.0816438Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0816810Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0817242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0817927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0818534Z     return mod(**inputs)
2025-08-14T22:14:32.0819294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 826, in forward
2025-08-14T22:14:32.0820121Z     dlbrt_output = self.distilbert(
2025-08-14T22:14:32.0820929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 736, in forward
2025-08-14T22:14:32.0821726Z     return self.transformer(
2025-08-14T22:14:32.0822584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 541, in forward
2025-08-14T22:14:32.0823656Z     layer_outputs = layer_module(
2025-08-14T22:14:32.0824518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:14:32.0825270Z     return super().__call__(*args, **kwargs)
2025-08-14T22:14:32.0826147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 494, in forward
2025-08-14T22:14:32.0827091Z     ffn_output = self.ffn(sa_output)  # (bs, seq_length, dim)
2025-08-14T22:14:32.0828018Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 428, in forward
2025-08-14T22:14:32.0829170Z     return apply_chunking_to_forward(self.ff_chunk, self.chunk_size_feed_forward, self.seq_len_dim, input)
2025-08-14T22:14:32.0830274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:14:32.0831137Z     return forward_fn(*input_tensors)
2025-08-14T22:14:32.0831986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 432, in ff_chunk
2025-08-14T22:14:32.0832853Z     x = self.activation(x)
2025-08-14T22:14:32.0833507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:14:32.0834328Z     return self.act(input)
2025-08-14T22:14:32.0834533Z 
2025-08-14T22:14:32.0834672Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0835060Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0835443Z cudagraph partition due to non gpu ops
2025-08-14T22:14:32.0835972Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:14:32.0836665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:14:32.0837284Z     return mod(**inputs)
2025-08-14T22:14:32.0838031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py", line 839, in forward
2025-08-14T22:14:32.0839258Z     prediction_logits = self.vocab_projector(prediction_logits)  # (bs, seq_length, vocab_size)
2025-08-14T22:14:32.0839760Z 
2025-08-14T22:14:38.0991226Z Compilation time (from dynamo_timed): 13.388664771
2025-08-14T22:14:38.1417519Z pass
2025-08-14T22:14:38.1419425Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:38.1421329Z TIMING: _recursive_pre_grad_passes:0.02852 _recursive_joint_graph_passes:0.40244 _recursive_post_grad_passes:0.06725 async_compile.wait:0.82197 code_gen:4.87355 inductor_compile:7.69199 backend_compile:11.32283 gc:0.00028 entire_frame_compile:13.38866 total_wall_time:13.38866
2025-08-14T22:14:38.1423601Z STATS: call_* op count: 150 | FakeTensorMode.__torch_dispatch__:12521 | FakeTensor.__torch_dispatch__:1975 | ProxyTorchDispatchMode.__torch_dispatch__:2735
2025-08-14T22:14:38.1424648Z Dynamo produced 1 graphs covering 150 ops with 0 graph breaks (0 unique)
2025-08-14T22:14:43.2470690Z 
2025-08-14T22:14:44.2894832Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:14:44.2895314Z 
2025-08-14T22:14:44.2965229Z config.json:   0% 0.00/665 [00:00<?, ?B/s]
2025-08-14T22:14:44.2965676Z config.json: 100% 665/665 [00:00<00:00, 98.6kB/s]
2025-08-14T22:14:49.8437525Z 
2025-08-14T22:14:49.8438139Z loading model: 0it [00:06, ?it/s]
2025-08-14T22:14:49.8463888Z cpu  eval  hf_GPT2                            
2025-08-14T22:14:50.6607877Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:51.0208744Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:14:51.4031515Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:04.9465091Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9465561Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9466245Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9466636Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9467038Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9467434Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9467833Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9468220Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9468614Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9469006Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9469387Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9469811Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9470204Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9470614Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9470999Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9471398Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9471799Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9472327Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9473082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9473760Z     return mod(**inputs)
2025-08-14T22:15:04.9474617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9475752Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9476708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9477593Z     outputs = block(
2025-08-14T22:15:04.9478408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9479234Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9480054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9480818Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9481706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9482616Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9483473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9484349Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9485209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9486194Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9487791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9488865Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9489323Z 
2025-08-14T22:15:04.9489534Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9490372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9491023Z     return mod(**inputs)
2025-08-14T22:15:04.9491751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9492695Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9493587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9494464Z     outputs = block(
2025-08-14T22:15:04.9495229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9496085Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9496905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9497916Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9498777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9499686Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9500573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9501443Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9502338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9503575Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9504599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9505797Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9506193Z 
2025-08-14T22:15:04.9506406Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9506967Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9507823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9508598Z     return mod(**inputs)
2025-08-14T22:15:04.9509538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9510484Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9511427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9512341Z     outputs = block(
2025-08-14T22:15:04.9513159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9513977Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9514994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9515855Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9516718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 415, in forward
2025-08-14T22:15:04.9517653Z     hidden_states = attn_output + residual
2025-08-14T22:15:04.9517986Z 
2025-08-14T22:15:04.9518356Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9518929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9519701Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9520627Z     return mod(**inputs)
2025-08-14T22:15:04.9521464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9522381Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9523332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9524212Z     outputs = block(
2025-08-14T22:15:04.9524946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9525832Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9526703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9527583Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9528475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9529433Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9530460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9531407Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9532095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9533011Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9533502Z 
2025-08-14T22:15:04.9533648Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9534041Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9534416Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9534804Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9535189Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9535570Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9536015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9536728Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9537418Z     return mod(**inputs)
2025-08-14T22:15:04.9538140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9538944Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9539726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9540470Z     outputs = block(
2025-08-14T22:15:04.9541106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9541825Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9542665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9543604Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9544360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9545197Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9545986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9546761Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9547521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9548369Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9549316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9560308Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9560685Z 
2025-08-14T22:15:04.9560894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9561591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9562252Z     return mod(**inputs)
2025-08-14T22:15:04.9562974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9563776Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9564547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9565302Z     outputs = block(
2025-08-14T22:15:04.9565941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9566656Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9567419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9568172Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9568947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9569737Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9570515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9571264Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9571999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9572802Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9573707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9574636Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9574954Z 
2025-08-14T22:15:04.9575096Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9575492Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9575965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9576667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9577295Z     return mod(**inputs)
2025-08-14T22:15:04.9578013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9578812Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9579580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9580333Z     outputs = block(
2025-08-14T22:15:04.9580970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9581690Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9582439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9583287Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9584213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9585052Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9585905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9586712Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9587429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9588441Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9588948Z 
2025-08-14T22:15:04.9589097Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9589500Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9589909Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9590298Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9590696Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9591092Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9591533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9592262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9605119Z     return mod(**inputs)
2025-08-14T22:15:04.9605891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9606671Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9607462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9608197Z     outputs = block(
2025-08-14T22:15:04.9608906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9609617Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9610360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9611079Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9612030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9613104Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9613869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9614627Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9615362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9616179Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9618035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9619013Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9619377Z 
2025-08-14T22:15:04.9619581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9620293Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9620923Z     return mod(**inputs)
2025-08-14T22:15:04.9621642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9622450Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9623512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9624294Z     outputs = block(
2025-08-14T22:15:04.9624955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9625697Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9626467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9627238Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9628000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9628806Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9629684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9630460Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9631223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9632058Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9632995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9633958Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9634388Z 
2025-08-14T22:15:04.9634546Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9635027Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9635456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9636142Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9636750Z     return mod(**inputs)
2025-08-14T22:15:04.9637452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9638227Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9639009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9639739Z     outputs = block(
2025-08-14T22:15:04.9640353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9641052Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9641777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9642506Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9643223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9644029Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9644898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9645650Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9646286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9647109Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9647555Z 
2025-08-14T22:15:04.9647685Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9648048Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9648403Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9648742Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9649097Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9649450Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9649844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9650493Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9651081Z     return mod(**inputs)
2025-08-14T22:15:04.9651736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9652469Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9653743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9654512Z     outputs = block(
2025-08-14T22:15:04.9655139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9655859Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9656758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9657514Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9658237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9659039Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9659814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9660552Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9661286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9662100Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9663278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9664277Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9664679Z 
2025-08-14T22:15:04.9664883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9665617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9666340Z     return mod(**inputs)
2025-08-14T22:15:04.9667072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9667896Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9668712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9669482Z     outputs = block(
2025-08-14T22:15:04.9670133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9670876Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9671662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9672420Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9673184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9674053Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9675118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9675869Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9676608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9677424Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9678371Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9679306Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9679631Z 
2025-08-14T22:15:04.9679787Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9680181Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9680614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9681322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9682026Z     return mod(**inputs)
2025-08-14T22:15:04.9682733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9683528Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9684314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9685071Z     outputs = block(
2025-08-14T22:15:04.9685767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9686493Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9687251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9687992Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9688727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9689553Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9690378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9691148Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9691948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9692841Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9693303Z 
2025-08-14T22:15:04.9693444Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9693939Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9694292Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9694681Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9695020Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9695372Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9695776Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9696412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9697004Z     return mod(**inputs)
2025-08-14T22:15:04.9697669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9698401Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9699110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9699809Z     outputs = block(
2025-08-14T22:15:04.9700390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9701069Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9701767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9702452Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9703487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9704296Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9705096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9705871Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9706623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9707468Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9708403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9709410Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9709786Z 
2025-08-14T22:15:04.9709984Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9710709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9711369Z     return mod(**inputs)
2025-08-14T22:15:04.9712109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9712913Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9713795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9714577Z     outputs = block(
2025-08-14T22:15:04.9715532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9716199Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9716896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9717584Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9718248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9718978Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9719687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9720365Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9721039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9721786Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9722651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9723489Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9723796Z 
2025-08-14T22:15:04.9723931Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9724291Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9724683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9725331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9725917Z     return mod(**inputs)
2025-08-14T22:15:04.9726579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9727495Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9728255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9729024Z     outputs = block(
2025-08-14T22:15:04.9729626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9730324Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9731059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9731788Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9732491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9733294Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9734091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9734853Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9735515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9736400Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9737101Z 
2025-08-14T22:15:04.9737481Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9737880Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9738313Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9738684Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9739070Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9739491Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9739942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9740717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9741363Z     return mod(**inputs)
2025-08-14T22:15:04.9742088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9743156Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9743972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9744755Z     outputs = block(
2025-08-14T22:15:04.9745412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9746152Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9746939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9747715Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9748464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9749282Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9750122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9750898Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9751641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9752480Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9753840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9754965Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9755329Z 
2025-08-14T22:15:04.9755527Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9756236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9756878Z     return mod(**inputs)
2025-08-14T22:15:04.9757635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9758437Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9759219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9759981Z     outputs = block(
2025-08-14T22:15:04.9760602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9761326Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9762082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9762823Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9763559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9764361Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9765133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9765960Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9766635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9767379Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9768205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9769043Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9769344Z 
2025-08-14T22:15:04.9769533Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9769905Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9770297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9770950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9771543Z     return mod(**inputs)
2025-08-14T22:15:04.9772205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9772927Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9773648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9774540Z     outputs = block(
2025-08-14T22:15:04.9775139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9775841Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9776581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9777310Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9778045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9778847Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9779646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9780393Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9781063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9781944Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9782407Z 
2025-08-14T22:15:04.9782647Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9783199Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9783657Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9784058Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9784480Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9784872Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9785320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9786052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9786703Z     return mod(**inputs)
2025-08-14T22:15:04.9787443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9788269Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9789061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9789842Z     outputs = block(
2025-08-14T22:15:04.9790493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9791239Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9792010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9792779Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9793540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9794462Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9795453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9796140Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9796864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9797597Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9798419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9805041Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9806012Z 
2025-08-14T22:15:04.9806529Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9808337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9809992Z     return mod(**inputs)
2025-08-14T22:15:04.9811851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9812782Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9813573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9814324Z     outputs = block(
2025-08-14T22:15:04.9814954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9815715Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9816475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9817229Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9817954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9818832Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9819585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9820313Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9821021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9821816Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9822767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9823954Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9824283Z 
2025-08-14T22:15:04.9824437Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9824845Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9825303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9826018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9826687Z     return mod(**inputs)
2025-08-14T22:15:04.9827430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9828264Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9829061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9829844Z     outputs = block(
2025-08-14T22:15:04.9830500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9831232Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9832017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9832793Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9833553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9834499Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9835384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9836169Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9836849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9837768Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9838253Z 
2025-08-14T22:15:04.9838395Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9838790Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9839163Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9839545Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9839928Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9840295Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9840728Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9841436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9842079Z     return mod(**inputs)
2025-08-14T22:15:04.9842782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9843616Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9844408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9845145Z     outputs = block(
2025-08-14T22:15:04.9845781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9846734Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9847470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9848188Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9848915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9849693Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9850431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9851198Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9851906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9852692Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9854158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9855140Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9855518Z 
2025-08-14T22:15:04.9855710Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9856427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9857054Z     return mod(**inputs)
2025-08-14T22:15:04.9857773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9858578Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9859348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9860102Z     outputs = block(
2025-08-14T22:15:04.9860734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9861456Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9867285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9869283Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9870674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9871489Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9872299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9873073Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9873827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9874748Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9875643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9876568Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9876885Z 
2025-08-14T22:15:04.9877041Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9877425Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9877866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9878568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9879242Z     return mod(**inputs)
2025-08-14T22:15:04.9879956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9880753Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9881537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9882278Z     outputs = block(
2025-08-14T22:15:04.9882908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9883722Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9884451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9885179Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9885891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9886720Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9887500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9888322Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9888945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9889770Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9890203Z 
2025-08-14T22:15:04.9890340Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9890683Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9891027Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9891358Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9891689Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9892038Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9892425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9893054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9893623Z     return mod(**inputs)
2025-08-14T22:15:04.9894268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9894988Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9895682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9896362Z     outputs = block(
2025-08-14T22:15:04.9896982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9897621Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9898304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9898982Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9899642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9900344Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9901039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9901706Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9902360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9903455Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9904370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9905396Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9905765Z 
2025-08-14T22:15:04.9905957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9906663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9907303Z     return mod(**inputs)
2025-08-14T22:15:04.9908023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9908820Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9909613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9910381Z     outputs = block(
2025-08-14T22:15:04.9911007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9911734Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9912530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9913289Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9914027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9914936Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9915886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9916564Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9917213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9917946Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9918750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9919581Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9919876Z 
2025-08-14T22:15:04.9920002Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9920349Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9920738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9921358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9921926Z     return mod(**inputs)
2025-08-14T22:15:04.9922754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9923506Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9924645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9925554Z     outputs = block(
2025-08-14T22:15:04.9926180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9926884Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9927631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9928424Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9929138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9929949Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9930754Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9931527Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9932257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9933203Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9933685Z 
2025-08-14T22:15:04.9933822Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9934199Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9934560Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9934931Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9935301Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9935655Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9936079Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9936770Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9937392Z     return mod(**inputs)
2025-08-14T22:15:04.9938097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9938881Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9939688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9940422Z     outputs = block(
2025-08-14T22:15:04.9941041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9941752Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9942565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9943308Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9944227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9945033Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9945807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9946568Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9947310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9948132Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9949034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9950023Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9950391Z 
2025-08-14T22:15:04.9950646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9951446Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9952098Z     return mod(**inputs)
2025-08-14T22:15:04.9952818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9954212Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9955012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9955878Z     outputs = block(
2025-08-14T22:15:04.9956495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9957205Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9957950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9958680Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9959410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9960193Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9960947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9961760Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9962485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9963288Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9964177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:04.9965092Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:04.9965412Z 
2025-08-14T22:15:04.9965553Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9966044Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9966435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9967074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9967657Z     return mod(**inputs)
2025-08-14T22:15:04.9968353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9969061Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9969764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9970442Z     outputs = block(
2025-08-14T22:15:04.9970998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9971644Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9972338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9973011Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9973669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:04.9974599Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:04.9975380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:04.9976117Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:04.9976771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:04.9977636Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:04.9978093Z 
2025-08-14T22:15:04.9978233Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9978597Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9979038Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9979401Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9979755Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9980116Z cudagraph partition due to non gpu ops
2025-08-14T22:15:04.9980530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9981202Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9981802Z     return mod(**inputs)
2025-08-14T22:15:04.9982573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9983544Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9984333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:04.9985113Z     outputs = block(
2025-08-14T22:15:04.9985775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:04.9986526Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:04.9987481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9988406Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9989226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:04.9990035Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:04.9990833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:04.9991602Z     return func(*args, **kwargs)
2025-08-14T22:15:04.9992361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:04.9993184Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:04.9994118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:04.9995123Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:04.9995643Z 
2025-08-14T22:15:04.9995847Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:04.9996539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:04.9997181Z     return mod(**inputs)
2025-08-14T22:15:04.9997899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:04.9998677Z     transformer_outputs = self.transformer(
2025-08-14T22:15:04.9999456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:05.0000205Z     outputs = block(
2025-08-14T22:15:05.0000840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:05.0001551Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:05.0002308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0003065Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0003982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:05.0004708Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:05.0005415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0006102Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0006768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:05.0007568Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:05.0008397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:05.0009253Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:05.0009543Z 
2025-08-14T22:15:05.0009677Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0010040Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0010445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:05.0011080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:05.0011667Z     return mod(**inputs)
2025-08-14T22:15:05.0012324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:05.0013058Z     transformer_outputs = self.transformer(
2025-08-14T22:15:05.0013764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:05.0014457Z     outputs = block(
2025-08-14T22:15:05.0015036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:05.0015715Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:05.0016417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0017109Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0017790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:05.0018542Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:05.0019300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:05.0020019Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:05.0020646Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:05.0021483Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:05.0021978Z 
2025-08-14T22:15:05.0022110Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0022547Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0023077Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0023524Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0023922Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0024307Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0024764Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:05.0025500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:05.0026172Z     return mod(**inputs)
2025-08-14T22:15:05.0026911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:05.0027742Z     transformer_outputs = self.transformer(
2025-08-14T22:15:05.0028549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:05.0029322Z     outputs = block(
2025-08-14T22:15:05.0029985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:05.0030737Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:05.0031519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0032278Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0033039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:05.0033930Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:05.0034836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0035669Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0036384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:05.0037361Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:05.0038355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:15:05.0039296Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:15:05.0039660Z 
2025-08-14T22:15:05.0039849Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:05.0040532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:05.0041145Z     return mod(**inputs)
2025-08-14T22:15:05.0041841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:05.0042617Z     transformer_outputs = self.transformer(
2025-08-14T22:15:05.0043398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:05.0044132Z     outputs = block(
2025-08-14T22:15:05.0044746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:05.0045447Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:05.0046169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0046900Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0047614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 404, in forward
2025-08-14T22:15:05.0048390Z     attn_output, self_attn_weights = self.attn(
2025-08-14T22:15:05.0049292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0055434Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0056185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 336, in forward
2025-08-14T22:15:05.0056994Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:15:05.0057896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:15:05.0058827Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:15:05.0059144Z 
2025-08-14T22:15:05.0059304Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0059686Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0060134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:05.0060844Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:05.0061474Z     return mod(**inputs)
2025-08-14T22:15:05.0062192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1183, in forward
2025-08-14T22:15:05.0063287Z     transformer_outputs = self.transformer(
2025-08-14T22:15:05.0064102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 917, in forward
2025-08-14T22:15:05.0064870Z     outputs = block(
2025-08-14T22:15:05.0065529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:15:05.0066275Z     return super().__call__(*args, **kwargs)
2025-08-14T22:15:05.0067046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:15:05.0067956Z     return func(*args, **kwargs)
2025-08-14T22:15:05.0068722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 440, in forward
2025-08-14T22:15:05.0069579Z     feed_forward_hidden_states = self.mlp(hidden_states)
2025-08-14T22:15:05.0070419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 366, in forward
2025-08-14T22:15:05.0071228Z     hidden_states = self.act(hidden_states)
2025-08-14T22:15:05.0071942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward
2025-08-14T22:15:05.0072873Z     return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0))))
2025-08-14T22:15:05.0073361Z 
2025-08-14T22:15:05.0073508Z cudagraph partition due to non gpu ops
2025-08-14T22:15:05.0073965Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:15:05.0074890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:15:05.0075497Z     return mod(**inputs)
2025-08-14T22:15:05.0076196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/gpt2/modeling_gpt2.py", line 1207, in forward
2025-08-14T22:15:05.0077069Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-08-14T22:15:05.0077385Z 
2025-08-14T22:15:12.7795770Z Compilation time (from dynamo_timed): 19.740777443
2025-08-14T22:15:12.7959002Z pass
2025-08-14T22:15:12.7960436Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:12.7962216Z TIMING: _recursive_pre_grad_passes:0.07139 _recursive_joint_graph_passes:0.49603 _recursive_post_grad_passes:0.11312 async_compile.wait:0.90475 code_gen:7.24665 inductor_compile:10.85366 backend_compile:16.39609 gc:0.00018 entire_frame_compile:19.74078 total_wall_time:19.74078
2025-08-14T22:15:12.7964312Z STATS: call_* op count: 560 | FakeTensorMode.__torch_dispatch__:20899 | FakeTensor.__torch_dispatch__:3837 | ProxyTorchDispatchMode.__torch_dispatch__:4101
2025-08-14T22:15:12.7965427Z Dynamo produced 1 graphs covering 560 ops with 0 graph breaks (0 unique)
2025-08-14T22:15:18.1673271Z 
2025-08-14T22:15:19.2451881Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:15:19.2452237Z 
2025-08-14T22:15:19.2520948Z config.json:   0% 0.00/666 [00:00<?, ?B/s]
2025-08-14T22:15:19.2521396Z config.json: 100% 666/666 [00:00<00:00, 96.6kB/s]
2025-08-14T22:15:45.5679181Z 
2025-08-14T22:15:45.5681537Z loading model: 0it [00:27, ?it/s]
2025-08-14T22:15:45.5721494Z cpu  eval  hf_GPT2_large                      
2025-08-14T22:15:45.8930194Z Compilation time (from dynamo_timed): 0
2025-08-14T22:15:45.8931235Z pass_due_to_skip
2025-08-14T22:15:45.8938070Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:15:45.8938903Z TIMING: total_wall_time:0
2025-08-14T22:15:45.8939227Z STATS: call_* op count: 0
2025-08-14T22:15:45.8939720Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T22:15:51.0347850Z 
2025-08-14T22:15:52.0589349Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:15:52.0589668Z 
2025-08-14T22:15:52.0656533Z config.json:   0% 0.00/694 [00:00<?, ?B/s]
2025-08-14T22:15:52.0657016Z config.json: 100% 694/694 [00:00<00:00, 107kB/s]
2025-08-14T22:15:57.5396194Z 
2025-08-14T22:15:57.5396854Z loading model: 0it [00:06, ?it/s]
2025-08-14T22:15:57.5424656Z cpu  eval  hf_Longformer                      
2025-08-14T22:16:02.5988327Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:16:04.4821672Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:16:06.3739570Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:16:07.9844340Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:16:07.9846782Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:16:07.9848710Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or:
2025-08-14T22:16:07.9850580Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:16:07.9852891Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph.
2025-08-14T22:16:07.9855206Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:16:07.9856816Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at:
2025-08-14T22:16:07.9859321Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:16:07.9861805Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     return mod(**inputs)
2025-08-14T22:16:07.9865157Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1703, in forward
2025-08-14T22:16:07.9868079Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     outputs = self.longformer(
2025-08-14T22:16:07.9870855Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1600, in forward
2025-08-14T22:16:07.9873877Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     encoder_outputs = self.encoder(
2025-08-14T22:16:07.9876819Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1244, in forward
2025-08-14T22:16:07.9879883Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0]     is_global_attn = is_index_global_attn.flatten().any().item()
2025-08-14T22:16:07.9881467Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:16:07.9882679Z W0814 22:16:07.983690 22827 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 
2025-08-14T22:16:10.8808031Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:10.8809849Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T22:16:10.8811564Z     embedding_output = self.embeddings(
2025-08-14T22:16:10.8813159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T22:16:10.8815314Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T22:16:10.8817744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 381, in create_position_ids_from_input_ids
2025-08-14T22:16:10.8824393Z     mask = input_ids.ne(padding_idx).int()
2025-08-14T22:16:10.8824887Z 
2025-08-14T22:16:10.8825244Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:10.8826964Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1592, in forward
2025-08-14T22:16:10.8829207Z     extended_attention_mask: torch.Tensor = self.get_extended_attention_mask(attention_mask, input_shape)[
2025-08-14T22:16:10.8831746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_utils.py", line 1763, in get_extended_attention_mask
2025-08-14T22:16:10.8833712Z     extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-08-14T22:16:10.8834712Z 
2025-08-14T22:16:10.8835058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:10.8836790Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T22:16:10.8838449Z     embedding_output = self.embeddings(
2025-08-14T22:16:10.8840061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T22:16:10.8842224Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T22:16:10.8844429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-14T22:16:10.8846308Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-14T22:16:10.8847022Z 
2025-08-14T22:16:10.8847308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:10.8849124Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1596, in forward
2025-08-14T22:16:10.8850647Z     embedding_output = self.embeddings(
2025-08-14T22:16:10.8851872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 410, in forward
2025-08-14T22:16:10.8854019Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx).to(input_ids.device)
2025-08-14T22:16:10.8856230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 382, in create_position_ids_from_input_ids
2025-08-14T22:16:10.8858189Z     incremental_indices = torch.cumsum(mask, dim=1).type_as(mask) * mask
2025-08-14T22:16:10.8858839Z 
2025-08-14T22:16:51.1834739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1836235Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1837893Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1838704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1839577Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1840526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1841568Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1842422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1843269Z     self_outputs = self.self(
2025-08-14T22:16:51.1844084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.1844945Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.1845228Z 
2025-08-14T22:16:51.1845422Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1846491Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1847494Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1848166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1848895Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1849931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1850801Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1851637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1852490Z     self_outputs = self.self(
2025-08-14T22:16:51.1853832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:16:51.1854752Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.1855800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 787, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.1856915Z     key = key.transpose(1, 2).reshape(batch_size * num_heads, seq_len, head_dim)
2025-08-14T22:16:51.1857324Z 
2025-08-14T22:16:51.1857542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1858593Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1859698Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1860391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1861130Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1861975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1863148Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1864029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1864902Z     self_outputs = self.self(
2025-08-14T22:16:51.1865729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.1866629Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.1866916Z 
2025-08-14T22:16:51.1867129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1868288Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1869310Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1870021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1870777Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1871645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1872536Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1873412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1874284Z     self_outputs = self.self(
2025-08-14T22:16:51.1875222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.1876134Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.1877161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.1878380Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.1878887Z 
2025-08-14T22:16:51.1879080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1880448Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1881468Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1882154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1882876Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1883734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1884668Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1885506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1886351Z     self_outputs = self.self(
2025-08-14T22:16:51.1887161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.1888014Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.1888282Z 
2025-08-14T22:16:51.1888477Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1889537Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1890588Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1891283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1891998Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1892854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1893718Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1894561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1895402Z     self_outputs = self.self(
2025-08-14T22:16:51.1896212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.1897120Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.1898168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.1899300Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.1900312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.1901159Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.1901422Z 
2025-08-14T22:16:51.1901615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1902771Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1903990Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1904708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1905446Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1906329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1907211Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1908080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1908934Z     self_outputs = self.self(
2025-08-14T22:16:51.1909762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.1910766Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.1911816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.1913073Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.1913596Z 
2025-08-14T22:16:51.1913745Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.1914158Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.1914562Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.1915072Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.1915515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1916579Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1917596Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1918279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1919013Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1919910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1920779Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1921616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1922466Z     self_outputs = self.self(
2025-08-14T22:16:51.1923275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 536, in forward
2025-08-14T22:16:51.1924171Z     diagonal_mask = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.1925215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 834, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.1926329Z     self._mask_invalid_locations(diagonal_attention_scores, window_overlap)
2025-08-14T22:16:51.1927445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 762, in _mask_invalid_locations
2025-08-14T22:16:51.1928508Z     input_tensor[:, :affected_seq_len, :, : affected_seq_len + 1] = torch.full_like(
2025-08-14T22:16:51.1928929Z 
2025-08-14T22:16:51.1929073Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.1929520Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1930574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1931559Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1932248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1932976Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1933827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1934671Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1935512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1936350Z     self_outputs = self.self(
2025-08-14T22:16:51.1937138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.1937976Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.1938214Z 
2025-08-14T22:16:51.1938402Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1939530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1940515Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1941199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1946999Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1947944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1948816Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1949688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1950550Z     self_outputs = self.self(
2025-08-14T22:16:51.1951362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.1952245Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.1952524Z 
2025-08-14T22:16:51.1952720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1954334Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1955571Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1956263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1956993Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1957845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1958687Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1959536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1960378Z     self_outputs = self.self(
2025-08-14T22:16:51.1961169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.1962088Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.1962370Z 
2025-08-14T22:16:51.1962560Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1963615Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1964599Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1965294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1966028Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1966884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1967726Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1968572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1969418Z     self_outputs = self.self(
2025-08-14T22:16:51.1970209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.1971136Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.1972219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.1973424Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.1974338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.1975029Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.1975335Z 
2025-08-14T22:16:51.1975526Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1976586Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1977569Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1978260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1978987Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1979838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1981213Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1982062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1982989Z     self_outputs = self.self(
2025-08-14T22:16:51.1983959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.1984963Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.1986082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.1987230Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.1988285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.1989260Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.1989945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.1990653Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.1990956Z 
2025-08-14T22:16:51.1991153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.1992277Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.1993314Z     layer_outputs = layer_module(
2025-08-14T22:16:51.1994022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.1994959Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.1995786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.1996619Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.1997431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.1998249Z     self_outputs = self.self(
2025-08-14T22:16:51.1999027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.1999935Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2000974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2002101Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2002523Z 
2025-08-14T22:16:51.2002709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2003795Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2009867Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2010563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2011300Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2012149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2012991Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2013836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2014672Z     self_outputs = self.self(
2025-08-14T22:16:51.2015461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2016390Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2017470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2020135Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2020557Z 
2025-08-14T22:16:51.2020749Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2021812Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2022933Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2023823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2024555Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2025446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2026325Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2027196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2028180Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2029129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2030020Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2030300Z 
2025-08-14T22:16:51.2030509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2031579Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2032605Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2033312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2034041Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2035135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2035923Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2036694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2037518Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2038358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2039148Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2039395Z 
2025-08-14T22:16:51.2039542Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2039999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2040967Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2041889Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2042506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2043173Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2043956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.2044750Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.2045478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.2046210Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.2046988Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.2047999Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.2048904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.2049797Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.2050531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.2051182Z     return self.act(input)
2025-08-14T22:16:51.2051395Z 
2025-08-14T22:16:51.2051532Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2051966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2052998Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2054547Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2055243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2056059Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2056900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2057757Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2058606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2059445Z     self_outputs = self.self(
2025-08-14T22:16:51.2060237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2061107Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2061388Z 
2025-08-14T22:16:51.2061577Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2062716Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2063922Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2064630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2065374Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2066251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2067220Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2068146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2069139Z     self_outputs = self.self(
2025-08-14T22:16:51.2069954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2070851Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2071147Z 
2025-08-14T22:16:51.2071341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2072433Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2073446Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2074153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2075025Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2075879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2076736Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2077571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2078460Z     self_outputs = self.self(
2025-08-14T22:16:51.2079263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2080144Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2081166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2082372Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2082865Z 
2025-08-14T22:16:51.2083076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2084228Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2085203Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2085905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2086608Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2087420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2088256Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2089077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2089895Z     self_outputs = self.self(
2025-08-14T22:16:51.2090670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.2091499Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.2091749Z 
2025-08-14T22:16:51.2091944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2092955Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2093924Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2094591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2095291Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2096096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2096919Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2097787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2098598Z     self_outputs = self.self(
2025-08-14T22:16:51.2099360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2100232Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2101390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2102589Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.2103586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.2104629Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.2104889Z 
2025-08-14T22:16:51.2105105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2106182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2107250Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2107954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2108698Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2109555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2110427Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2111289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2112155Z     self_outputs = self.self(
2025-08-14T22:16:51.2112971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2113891Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2115141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2116438Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2116890Z 
2025-08-14T22:16:51.2117021Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2117384Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2117788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2118742Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2119654Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2120285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2120948Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2121716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2122498Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2123269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2124026Z     self_outputs = self.self(
2025-08-14T22:16:51.2124761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.2125527Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.2125732Z 
2025-08-14T22:16:51.2125918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2126921Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2127835Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2128469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2129132Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2130514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2131372Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2132214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2133041Z     self_outputs = self.self(
2025-08-14T22:16:51.2133845Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.2134694Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.2134976Z 
2025-08-14T22:16:51.2135208Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2136298Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2137294Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2137980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2138701Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2139536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2140387Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2141234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2142073Z     self_outputs = self.self(
2025-08-14T22:16:51.2143143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.2144075Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.2144352Z 
2025-08-14T22:16:51.2144561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2145635Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2146669Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2147375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2148117Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2148982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2149859Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2150730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2151599Z     self_outputs = self.self(
2025-08-14T22:16:51.2152409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2153830Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2155074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2156263Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.2157238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2157935Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2158233Z 
2025-08-14T22:16:51.2158446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2159497Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2160504Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2161189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2161920Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2162758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2163611Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2164461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2165300Z     self_outputs = self.self(
2025-08-14T22:16:51.2166215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2167066Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2168062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2169074Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.2170030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.2170905Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.2171522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2172144Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2172488Z 
2025-08-14T22:16:51.2172665Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2173635Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2174747Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2175398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2176099Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2176922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2177743Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2178566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2179374Z     self_outputs = self.self(
2025-08-14T22:16:51.2180154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2181037Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2182083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2183471Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2183900Z 
2025-08-14T22:16:51.2184112Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2185255Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2186284Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2186994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2187741Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2188600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2189486Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2190380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2191235Z     self_outputs = self.self(
2025-08-14T22:16:51.2197037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2197991Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2199086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2200298Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2200737Z 
2025-08-14T22:16:51.2200929Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2202035Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2203038Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2203712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2204437Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2205292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2206149Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2206977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2207948Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2208861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2209725Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2209996Z 
2025-08-14T22:16:51.2210186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2211236Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2212240Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2212909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2213628Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2214477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2215326Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2216149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2217063Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2217975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2218837Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2219105Z 
2025-08-14T22:16:51.2219310Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2219760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2220820Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2221816Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2222598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2223526Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2224397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.2225274Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.2226116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.2226943Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.2227811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.2228791Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.2229730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.2230677Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.2231442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.2232151Z     return self.act(input)
2025-08-14T22:16:51.2232378Z 
2025-08-14T22:16:51.2232526Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2232987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2234078Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2235202Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2235893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2236643Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2237493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2238346Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2239191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2240019Z     self_outputs = self.self(
2025-08-14T22:16:51.2240826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2241689Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2241959Z 
2025-08-14T22:16:51.2242165Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2243203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2244215Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2244900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2245726Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2246534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2247358Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2248229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2249034Z     self_outputs = self.self(
2025-08-14T22:16:51.2249806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2250647Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2250906Z 
2025-08-14T22:16:51.2251105Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2252113Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2253081Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2259343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2260079Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2260924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2261776Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2262709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2263837Z     self_outputs = self.self(
2025-08-14T22:16:51.2264659Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2265585Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2266639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2267869Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2268394Z 
2025-08-14T22:16:51.2268596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2269686Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2270762Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2271460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2272206Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2273084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2273971Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2274898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2275713Z     self_outputs = self.self(
2025-08-14T22:16:51.2276501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.2277314Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.2277574Z 
2025-08-14T22:16:51.2277762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2278785Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2279752Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2280400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2281105Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2281924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2282748Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2283632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2284449Z     self_outputs = self.self(
2025-08-14T22:16:51.2285232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2286174Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2287110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2288147Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.2289068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.2289827Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.2290070Z 
2025-08-14T22:16:51.2290250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2291216Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2292179Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2292789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2293452Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2294230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2295012Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2295770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2296538Z     self_outputs = self.self(
2025-08-14T22:16:51.2297279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2298089Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2299057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2300165Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2300614Z 
2025-08-14T22:16:51.2300762Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2301112Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2301515Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2302488Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2303762Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2304459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2305210Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2306092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2306959Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2307829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2308703Z     self_outputs = self.self(
2025-08-14T22:16:51.2309531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.2310379Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.2310625Z 
2025-08-14T22:16:51.2310889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2311981Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2313017Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2313708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2314454Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2315416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2316235Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2317471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2318337Z     self_outputs = self.self(
2025-08-14T22:16:51.2319149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.2319997Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.2320268Z 
2025-08-14T22:16:51.2320502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2321557Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2322564Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2323242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2323965Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2324819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2325664Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2326509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2327349Z     self_outputs = self.self(
2025-08-14T22:16:51.2328192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.2329042Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.2329324Z 
2025-08-14T22:16:51.2329510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2330562Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2331559Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2332228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2332954Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2333797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2334636Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2335483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2336321Z     self_outputs = self.self(
2025-08-14T22:16:51.2337125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2338039Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2339123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2340456Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.2341281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2341935Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2342238Z 
2025-08-14T22:16:51.2342421Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2343776Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2344804Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2345497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2346244Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2347121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2347996Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2348867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2349770Z     self_outputs = self.self(
2025-08-14T22:16:51.2350599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2351541Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2368441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2369551Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.2370572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.2371514Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.2372151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2372801Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2373213Z 
2025-08-14T22:16:51.2373410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2374433Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2375396Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2376066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2376770Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2377583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2378429Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2379599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2380568Z     self_outputs = self.self(
2025-08-14T22:16:51.2381360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2382294Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2383660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2384858Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2385308Z 
2025-08-14T22:16:51.2385552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2386801Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2387837Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2388551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2389289Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2390163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2391044Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2391897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2392756Z     self_outputs = self.self(
2025-08-14T22:16:51.2393582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2394640Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2395704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2396902Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2397329Z 
2025-08-14T22:16:51.2397521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2398673Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2399724Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2400353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2401016Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2401798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2402568Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2403374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2404212Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2405040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2405834Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2406096Z 
2025-08-14T22:16:51.2406269Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2407246Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2408146Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2408773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2409445Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2410223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2410993Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2411764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2412601Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2413424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2414268Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2414530Z 
2025-08-14T22:16:51.2414660Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2415068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2416019Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2416937Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2417565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2418231Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2418997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.2419790Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.2420533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.2421250Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.2422023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.2422996Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.2424065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.2424996Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.2425776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.2426478Z     return self.act(input)
2025-08-14T22:16:51.2426691Z 
2025-08-14T22:16:51.2426850Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2427292Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2428384Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2429402Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2430129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2430856Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2431711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2432586Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2433426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2434273Z     self_outputs = self.self(
2025-08-14T22:16:51.2435088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2436024Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2436283Z 
2025-08-14T22:16:51.2436468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2437490Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2438437Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2439080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2439770Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2440567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2441371Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2447565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2448402Z     self_outputs = self.self(
2025-08-14T22:16:51.2449197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2450051Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2450318Z 
2025-08-14T22:16:51.2450502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2451549Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2452537Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2453616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2454348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2455190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2456035Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2456849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2457767Z     self_outputs = self.self(
2025-08-14T22:16:51.2458552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2459432Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2460437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2461628Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2462115Z 
2025-08-14T22:16:51.2462315Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2463668Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2464737Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2465434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2466160Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2467017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2467884Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2468742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2469592Z     self_outputs = self.self(
2025-08-14T22:16:51.2470401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.2471264Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.2471527Z 
2025-08-14T22:16:51.2471722Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2472798Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2473806Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2474603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2475414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2476215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2477098Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2477901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2478701Z     self_outputs = self.self(
2025-08-14T22:16:51.2479459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2480313Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2481288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2482371Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.2483325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.2484132Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.2484377Z 
2025-08-14T22:16:51.2484568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2485574Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2486556Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2487312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2487961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2488715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2489480Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2490239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2491007Z     self_outputs = self.self(
2025-08-14T22:16:51.2491722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2492590Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2493516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2494601Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2495046Z 
2025-08-14T22:16:51.2495174Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2495524Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2495913Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2496866Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2497770Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2498385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2499039Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2499796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2500564Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2501325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2502082Z     self_outputs = self.self(
2025-08-14T22:16:51.2503040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.2503893Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.2504186Z 
2025-08-14T22:16:51.2509273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2510351Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2511377Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2512069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2512801Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2513658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2514523Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2515478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2516304Z     self_outputs = self.self(
2025-08-14T22:16:51.2517080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.2517912Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.2518208Z 
2025-08-14T22:16:51.2518410Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2519440Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2520432Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2521102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2521809Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2522634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2523680Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2524446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2525247Z     self_outputs = self.self(
2025-08-14T22:16:51.2525959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.2526724Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.2526965Z 
2025-08-14T22:16:51.2527145Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2528104Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2528991Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2529611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2530268Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2531023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2531797Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2532552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2533316Z     self_outputs = self.self(
2025-08-14T22:16:51.2534035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2534878Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2535860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2537000Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.2537752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2538378Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2538641Z 
2025-08-14T22:16:51.2538818Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2539779Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2540669Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2541284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2541934Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2542783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2543886Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2544743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2545653Z     self_outputs = self.self(
2025-08-14T22:16:51.2546454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2547396Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2548499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2549631Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.2550681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.2551643Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.2552314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2553043Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2553794Z 
2025-08-14T22:16:51.2553997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2555194Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2556181Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2556852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2557569Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2558418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2559260Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2560084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2560919Z     self_outputs = self.self(
2025-08-14T22:16:51.2561710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2562626Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2563688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2564833Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2565248Z 
2025-08-14T22:16:51.2565562Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2566618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2567770Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2568452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2569161Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2569990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2570835Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2571666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2572492Z     self_outputs = self.self(
2025-08-14T22:16:51.2573279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2574190Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2575259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2576457Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2576868Z 
2025-08-14T22:16:51.2577059Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2578102Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2579087Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2579761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2580468Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2581309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2582190Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2583111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2584219Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2585150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2586029Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2586305Z 
2025-08-14T22:16:51.2586503Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2587593Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2588610Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2589307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2590040Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2590906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2591777Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2592628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2593560Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2594594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2595704Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2595950Z 
2025-08-14T22:16:51.2596079Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2596474Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2597442Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2598342Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2598954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2599610Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2600378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.2601159Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.2601888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.2602600Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.2603345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.2604210Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.2605032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.2605858Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.2606537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.2607144Z     return self.act(input)
2025-08-14T22:16:51.2607335Z 
2025-08-14T22:16:51.2607465Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2607869Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2608823Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2609763Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2610380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2611034Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2611792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2612558Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2613316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2614077Z     self_outputs = self.self(
2025-08-14T22:16:51.2614799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2615579Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2615822Z 
2025-08-14T22:16:51.2616005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2616961Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2617858Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2618474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2619126Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2619882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2620649Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2621464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2622226Z     self_outputs = self.self(
2025-08-14T22:16:51.2623212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2624098Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2624373Z 
2025-08-14T22:16:51.2624575Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2625664Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2626677Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2627374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2628121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2628982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2630030Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2630936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2631787Z     self_outputs = self.self(
2025-08-14T22:16:51.2632594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2633509Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2634546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2635940Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2636432Z 
2025-08-14T22:16:51.2636622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2637669Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2638699Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2639373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2640075Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2640911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2641748Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2642564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2643395Z     self_outputs = self.self(
2025-08-14T22:16:51.2644186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.2645031Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.2645286Z 
2025-08-14T22:16:51.2645475Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2646521Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2647504Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2648284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2649073Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2649890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2650663Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2651417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2652180Z     self_outputs = self.self(
2025-08-14T22:16:51.2652907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2654267Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2655272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2656394Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.2657381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.2658221Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.2658471Z 
2025-08-14T22:16:51.2658660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2659700Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2660768Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2661442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2662151Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2663273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2664153Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2665008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2665862Z     self_outputs = self.self(
2025-08-14T22:16:51.2666678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2667646Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2668675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2669903Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2670415Z 
2025-08-14T22:16:51.2670555Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2670951Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2671383Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2672468Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2673486Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2674292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2675123Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2675940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2676750Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2677551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2678351Z     self_outputs = self.self(
2025-08-14T22:16:51.2679119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.2679994Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.2680214Z 
2025-08-14T22:16:51.2680395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2681414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2682377Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2683025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2683717Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2684525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2685337Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2686223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2686983Z     self_outputs = self.self(
2025-08-14T22:16:51.2687707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.2688505Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.2688737Z 
2025-08-14T22:16:51.2688914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2689861Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2690761Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2691377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2697279Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2698172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2699009Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2699836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2700722Z     self_outputs = self.self(
2025-08-14T22:16:51.2701509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.2702355Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.2702729Z 
2025-08-14T22:16:51.2703103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2704173Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2705188Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2705890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2706620Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2707471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2708339Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2709195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2710036Z     self_outputs = self.self(
2025-08-14T22:16:51.2710846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2711793Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2712975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2714313Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.2715234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2715886Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2716167Z 
2025-08-14T22:16:51.2716354Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2717463Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2718360Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2718970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2719621Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2720379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2721144Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2721896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2722672Z     self_outputs = self.self(
2025-08-14T22:16:51.2723392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2724233Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2725207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2726207Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.2727355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.2728257Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.2728883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2729562Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2729846Z 
2025-08-14T22:16:51.2730027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2731038Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2731993Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2732634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2733321Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2734132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2734939Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2735744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2736543Z     self_outputs = self.self(
2025-08-14T22:16:51.2737304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2738185Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2739293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2740337Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2740711Z 
2025-08-14T22:16:51.2740999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2741950Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2743108Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2744019Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2744740Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2745603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2746464Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2747316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2748154Z     self_outputs = self.self(
2025-08-14T22:16:51.2748969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2749911Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2751054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2752224Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2752656Z 
2025-08-14T22:16:51.2752850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2759561Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2762177Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2763955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2765816Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2768015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2770393Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2772353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2773354Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2774226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2775045Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2775309Z 
2025-08-14T22:16:51.2775490Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2776502Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2777454Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2778102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2778789Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2779590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2780398Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2781186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2782058Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2783267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2784138Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2784422Z 
2025-08-14T22:16:51.2784566Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2785012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2786090Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2787092Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2787781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2788515Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2789377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.2790248Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.2791074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.2791882Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.2792778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.2793709Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.2794726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.2795707Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.2796380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.2796993Z     return self.act(input)
2025-08-14T22:16:51.2797174Z 
2025-08-14T22:16:51.2797311Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2797704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2798658Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2799593Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2800202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2800844Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2801604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2802373Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2803129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2803871Z     self_outputs = self.self(
2025-08-14T22:16:51.2804593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2805365Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2805613Z 
2025-08-14T22:16:51.2805793Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2806737Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2807636Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2808249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2808893Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2809656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2810478Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2811238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2811989Z     self_outputs = self.self(
2025-08-14T22:16:51.2812709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2813485Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2813902Z 
2025-08-14T22:16:51.2814114Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2815118Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2816065Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2817004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2817797Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2818637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2819513Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2820335Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2821151Z     self_outputs = self.self(
2025-08-14T22:16:51.2821939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2823093Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2824143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2825384Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2825909Z 
2025-08-14T22:16:51.2826108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2827207Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2828274Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2828965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2829708Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2830581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2831444Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2832316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2833174Z     self_outputs = self.self(
2025-08-14T22:16:51.2833999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.2834961Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.2835229Z 
2025-08-14T22:16:51.2835420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2836472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2837466Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2838135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2838860Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2839779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2840624Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2841466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2842306Z     self_outputs = self.self(
2025-08-14T22:16:51.2843107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2843987Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2845008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2846139Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.2847145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.2848078Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.2848336Z 
2025-08-14T22:16:51.2848523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2849580Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2850545Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2851199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2851904Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2852731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2854075Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2854935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2855775Z     self_outputs = self.self(
2025-08-14T22:16:51.2856575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.2857530Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.2858547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.2859749Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.2860242Z 
2025-08-14T22:16:51.2860401Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2860785Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2861228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2862284Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2863547Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2864252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2864991Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2865859Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2866719Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2867581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2868436Z     self_outputs = self.self(
2025-08-14T22:16:51.2869332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.2870179Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.2870422Z 
2025-08-14T22:16:51.2870613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2871707Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2872717Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2873417Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2874265Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2875194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2875996Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2876804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2877612Z     self_outputs = self.self(
2025-08-14T22:16:51.2878382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.2879506Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.2879799Z 
2025-08-14T22:16:51.2880054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2881106Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2882081Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2882757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2883469Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2884319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2885212Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2886041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2886914Z     self_outputs = self.self(
2025-08-14T22:16:51.2887701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.2888539Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.2888816Z 
2025-08-14T22:16:51.2888999Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2890043Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2891020Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2891684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2892392Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2893233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2894063Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2894888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2895711Z     self_outputs = self.self(
2025-08-14T22:16:51.2896498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2897508Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2898676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2899770Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.2900536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2901155Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2901431Z 
2025-08-14T22:16:51.2901602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2902622Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2903753Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2904622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2905364Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2906239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2907097Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2907994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2908850Z     self_outputs = self.self(
2025-08-14T22:16:51.2909664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2910598Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2911701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2912836Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.2913900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.2914959Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.2915745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.2916499Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.2916760Z 
2025-08-14T22:16:51.2916935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2917891Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2918804Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2919424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2920070Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2920841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2921614Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2922590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2923379Z     self_outputs = self.self(
2025-08-14T22:16:51.2924145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2925036Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2926061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2927224Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2927638Z 
2025-08-14T22:16:51.2927822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2928839Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2929790Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2930448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2931138Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2931953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2932759Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2933567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2934466Z     self_outputs = self.self(
2025-08-14T22:16:51.2935186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.2936045Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.2937021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.2938066Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.2938442Z 
2025-08-14T22:16:51.2938627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2939576Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2940481Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2941097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2947010Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2947945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2948884Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2949743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2950668Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2951601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2952487Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2952760Z 
2025-08-14T22:16:51.2952966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2954465Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2955605Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2956290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2956994Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2957833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2958681Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2959514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.2960411Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.2961435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.2962289Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.2962555Z 
2025-08-14T22:16:51.2962707Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2963134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2964181Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2965293Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2965901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2966553Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2967317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.2968102Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.2968818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.2969574Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.2970334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.2971169Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.2971982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.2972815Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.2973495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.2974264Z     return self.act(input)
2025-08-14T22:16:51.2974470Z 
2025-08-14T22:16:51.2974606Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.2975023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2976037Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2977025Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2977678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2978372Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2979177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2979976Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2980778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2981582Z     self_outputs = self.self(
2025-08-14T22:16:51.2982346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.2983435Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.2992514Z 
2025-08-14T22:16:51.2992778Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.2993902Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.2995028Z     layer_outputs = layer_module(
2025-08-14T22:16:51.2995921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.2996567Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.2997463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.2998234Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.2998991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.2999757Z     self_outputs = self.self(
2025-08-14T22:16:51.3000484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3001250Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3001499Z 
2025-08-14T22:16:51.3001672Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3002623Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3003522Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3009677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3011559Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3013758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3016075Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3018256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3020428Z     self_outputs = self.self(
2025-08-14T22:16:51.3022734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3023827Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3024867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3026097Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3026600Z 
2025-08-14T22:16:51.3026802Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3027919Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3028931Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3029626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3030357Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3031208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3032074Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3032933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3033772Z     self_outputs = self.self(
2025-08-14T22:16:51.3034684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.3035624Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.3035854Z 
2025-08-14T22:16:51.3036030Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3036974Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3037874Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3038487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3039136Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3039946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3040717Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3041474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3042219Z     self_outputs = self.self(
2025-08-14T22:16:51.3042941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3043753Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3044672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3045683Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.3046596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.3047359Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.3047587Z 
2025-08-14T22:16:51.3047804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3048752Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3049654Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3050272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3050923Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3051680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3052455Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3053751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3054581Z     self_outputs = self.self(
2025-08-14T22:16:51.3055461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3056347Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3057364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3058543Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3059043Z 
2025-08-14T22:16:51.3059182Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3059556Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3059989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3061029Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3062012Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3062771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3063666Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3064531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3065394Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3066240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3067183Z     self_outputs = self.self(
2025-08-14T22:16:51.3068159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.3069008Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.3069233Z 
2025-08-14T22:16:51.3069431Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3070504Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3071511Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3072196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3072916Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3073773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3074633Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3075586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3076398Z     self_outputs = self.self(
2025-08-14T22:16:51.3077177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.3078069Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.3078317Z 
2025-08-14T22:16:51.3078510Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3079540Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3080514Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3081176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3081874Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3082703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3083534Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3084391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3085299Z     self_outputs = self.self(
2025-08-14T22:16:51.3086154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.3086922Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.3087162Z 
2025-08-14T22:16:51.3087335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3088274Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3089169Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3089773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3090418Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3091174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3091931Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3092682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3093427Z     self_outputs = self.self(
2025-08-14T22:16:51.3094145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3094973Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3095994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3097069Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.3097832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3098442Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3098709Z 
2025-08-14T22:16:51.3098883Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3099824Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3100722Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3101326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3101976Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3102799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3103861Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3104716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3105555Z     self_outputs = self.self(
2025-08-14T22:16:51.3106358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3107293Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3108389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3109517Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.3110564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.3111552Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.3112219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3112904Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3113203Z 
2025-08-14T22:16:51.3113403Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3114479Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3115677Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3116319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3117113Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3117872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3118632Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3119387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3120139Z     self_outputs = self.self(
2025-08-14T22:16:51.3120861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3121688Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3122655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3123749Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3124126Z 
2025-08-14T22:16:51.3124303Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3125246Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3125368Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3125782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3125902Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3126445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3126564Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3127105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3127213Z     self_outputs = self.self(
2025-08-14T22:16:51.3127744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3127976Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3128654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3128915Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3128930Z 
2025-08-14T22:16:51.3129398Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3130405Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3130546Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3131001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3131141Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3131773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3131904Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3132499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3132695Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3133276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3133426Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3133441Z 
2025-08-14T22:16:51.3133630Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3134380Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3134506Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3135022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3135163Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3135750Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3135887Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3136469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3136662Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3137321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3137462Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3137483Z 
2025-08-14T22:16:51.3137630Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3137813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3138555Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3138680Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3139129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3139260Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3139854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.3139995Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.3140531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.3140690Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.3141278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.3141474Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.3142060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.3142261Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.3142779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.3143084Z     return self.act(input)
2025-08-14T22:16:51.3143101Z 
2025-08-14T22:16:51.3143252Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3143442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3144208Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3144978Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3145447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3145590Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3146199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3146330Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3146946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3147070Z     self_outputs = self.self(
2025-08-14T22:16:51.3147676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3147829Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3147845Z 
2025-08-14T22:16:51.3148036Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3148806Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3148929Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3149390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3149530Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3150207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3150350Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3150949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3151077Z     self_outputs = self.self(
2025-08-14T22:16:51.3151683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3151830Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3151846Z 
2025-08-14T22:16:51.3152042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3152806Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3152930Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3153890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3154033Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3154650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3154987Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3155572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3155695Z     self_outputs = self.self(
2025-08-14T22:16:51.3156272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3156451Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3157180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3157537Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3157553Z 
2025-08-14T22:16:51.3157790Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3158530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3158651Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3159113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3159246Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3159842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3159968Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3160559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3160679Z     self_outputs = self.self(
2025-08-14T22:16:51.3161264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.3161393Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.3161409Z 
2025-08-14T22:16:51.3161598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3162340Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3162468Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3162916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3163121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3163716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3163845Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3164438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3164553Z     self_outputs = self.self(
2025-08-14T22:16:51.3165129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3165315Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3166098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3166369Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.3166899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.3167017Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.3167061Z 
2025-08-14T22:16:51.3167237Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3167915Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3168024Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3168441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3168560Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3169103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3169226Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3169761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3169903Z     self_outputs = self.self(
2025-08-14T22:16:51.3170434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3170601Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3171251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3171573Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3171588Z 
2025-08-14T22:16:51.3171717Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3171839Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3172012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3172694Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3172807Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3173223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3173346Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3173884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3174006Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3174736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3174857Z     self_outputs = self.self(
2025-08-14T22:16:51.3175504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.3175623Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.3175641Z 
2025-08-14T22:16:51.3175828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3176542Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3176665Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3177100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3177227Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3177800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3177927Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3178496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3178613Z     self_outputs = self.self(
2025-08-14T22:16:51.3179211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.3179347Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.3179362Z 
2025-08-14T22:16:51.3179540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3180258Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3180380Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3180819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3180955Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3181524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3181657Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3182258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3182370Z     self_outputs = self.self(
2025-08-14T22:16:51.3183183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.3183341Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.3183357Z 
2025-08-14T22:16:51.3183545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3184320Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3184444Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3184909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3185055Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3185656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3185798Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3186400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3186519Z     self_outputs = self.self(
2025-08-14T22:16:51.3187121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3187334Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3188170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3188510Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.3188905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3189086Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3189101Z 
2025-08-14T22:16:51.3189286Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3190049Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3190182Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3190650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3190794Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3191401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3191570Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3197089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3197210Z     self_outputs = self.self(
2025-08-14T22:16:51.3197798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3198010Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3198751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3199007Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.3199666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.3199870Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.3200250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3200419Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3200436Z 
2025-08-14T22:16:51.3200625Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3201365Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3201488Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3201947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3202083Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3202675Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3202808Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3203392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3203513Z     self_outputs = self.self(
2025-08-14T22:16:51.3204094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3204310Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3205113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3205395Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3205411Z 
2025-08-14T22:16:51.3205602Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3206344Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3206472Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3206925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3207060Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3207656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3207786Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3208378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3208506Z     self_outputs = self.self(
2025-08-14T22:16:51.3209086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3209338Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3210076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3210354Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3210370Z 
2025-08-14T22:16:51.3210561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3211406Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3211537Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3211972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3212132Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3212710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3212833Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3213406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3213597Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3214161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3214313Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3214332Z 
2025-08-14T22:16:51.3214509Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3215231Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3215353Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3215789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3215927Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3216490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3216616Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3217188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3217432Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3218128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3218264Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3218278Z 
2025-08-14T22:16:51.3218402Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3218579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3219256Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3219377Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3219785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3219906Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3220447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.3220577Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.3221065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.3221216Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.3221756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.3221936Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.3222470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.3222727Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.3223323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.3223440Z     return self.act(input)
2025-08-14T22:16:51.3223456Z 
2025-08-14T22:16:51.3223598Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3223783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3224762Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3224895Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3225354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3225489Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3226103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3226236Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3226849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3226969Z     self_outputs = self.self(
2025-08-14T22:16:51.3227568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3227728Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3227744Z 
2025-08-14T22:16:51.3227931Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3228698Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3228820Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3229285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3229427Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3230084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3230220Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3230836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3230954Z     self_outputs = self.self(
2025-08-14T22:16:51.3231565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3231710Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3231725Z 
2025-08-14T22:16:51.3231912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3232683Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3232812Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3233285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3233420Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3234055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3234197Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3234901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3235024Z     self_outputs = self.self(
2025-08-14T22:16:51.3235584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3235757Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3236461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3236804Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3236849Z 
2025-08-14T22:16:51.3237039Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3237759Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3237876Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3238323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3238451Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3239020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3239157Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3239727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3239853Z     self_outputs = self.self(
2025-08-14T22:16:51.3240540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.3240661Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.3240675Z 
2025-08-14T22:16:51.3240851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3241530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3241647Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3242058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3242235Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3242786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3242911Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3243448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3243561Z     self_outputs = self.self(
2025-08-14T22:16:51.3244092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3244258Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3244908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3245171Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.3245705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.3245855Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.3245869Z 
2025-08-14T22:16:51.3246042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3246719Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3246831Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3247248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3247369Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3247911Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3248029Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3248563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3248717Z     self_outputs = self.self(
2025-08-14T22:16:51.3249247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3249407Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3250066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3250389Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3250403Z 
2025-08-14T22:16:51.3250535Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3250661Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3250830Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3251512Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3251626Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3252048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3252168Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3252704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3252829Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3253917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3259050Z     self_outputs = self.self(
2025-08-14T22:16:51.3259654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.3259781Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.3259800Z 
2025-08-14T22:16:51.3259996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3260732Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3260854Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3261314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3261445Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3262041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3262175Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3262832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3263200Z     self_outputs = self.self(
2025-08-14T22:16:51.3263799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.3263944Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.3263960Z 
2025-08-14T22:16:51.3264151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3264911Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3265044Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3265513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3265649Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3266264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3266442Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3267047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3267167Z     self_outputs = self.self(
2025-08-14T22:16:51.3267769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.3267921Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.3267937Z 
2025-08-14T22:16:51.3268128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3268898Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3269020Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3269486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3269632Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3270232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3270366Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3270972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3271092Z     self_outputs = self.self(
2025-08-14T22:16:51.3271693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3271966Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3272731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3273073Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.3273467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3273647Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3273662Z 
2025-08-14T22:16:51.3273852Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3274710Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3274837Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3275292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3275429Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3276116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3276272Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3276844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3276959Z     self_outputs = self.self(
2025-08-14T22:16:51.3277523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3277731Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3278452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3278691Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.3279326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.3279503Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.3279876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3280038Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3280053Z 
2025-08-14T22:16:51.3280240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3280956Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3281074Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3281523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3281652Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3282225Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3282354Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3282917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3283038Z     self_outputs = self.self(
2025-08-14T22:16:51.3283597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3283800Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3284576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3284848Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3284863Z 
2025-08-14T22:16:51.3285062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3285886Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3285995Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3286416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3286537Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3287078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3287197Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3287735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3287851Z     self_outputs = self.self(
2025-08-14T22:16:51.3288414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3288611Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3289290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3289547Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3289561Z 
2025-08-14T22:16:51.3289736Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3290414Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3290531Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3290943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3291094Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3291638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3291756Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3292291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3292480Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3293014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3293155Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3293169Z 
2025-08-14T22:16:51.3293337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3294013Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3294131Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3294541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3294668Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3295200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3295317Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3295906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3296086Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3296626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3296759Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3296773Z 
2025-08-14T22:16:51.3296908Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3297076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3297752Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3297866Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3298277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3298401Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3298938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.3299068Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.3299600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.3299717Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.3300258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.3300438Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.3300970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.3301153Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.3301550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.3301659Z     return self.act(input)
2025-08-14T22:16:51.3301674Z 
2025-08-14T22:16:51.3301805Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3302003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3302761Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3303043Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3303494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3303634Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3304405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3304537Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3305152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3305275Z     self_outputs = self.self(
2025-08-14T22:16:51.3305883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3306028Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3306044Z 
2025-08-14T22:16:51.3306233Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3307003Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3307125Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3307595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3307791Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3308393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3308537Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3309142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3309267Z     self_outputs = self.self(
2025-08-14T22:16:51.3309864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3310010Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3310026Z 
2025-08-14T22:16:51.3310222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3310985Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3311107Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3311575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3311745Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3312352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3312483Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3313081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3313205Z     self_outputs = self.self(
2025-08-14T22:16:51.3313800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3313986Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3314835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3315190Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3315237Z 
2025-08-14T22:16:51.3315429Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3316172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3316299Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3316871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3317007Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3317728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3317859Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3318444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3318578Z     self_outputs = self.self(
2025-08-14T22:16:51.3319156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.3319293Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.3319308Z 
2025-08-14T22:16:51.3319491Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3320229Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3320353Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3320860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3321003Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3321587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3321721Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3322311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3322425Z     self_outputs = self.self(
2025-08-14T22:16:51.3323005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3323187Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3323901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3324189Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.3324765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.3324927Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.3324942Z 
2025-08-14T22:16:51.3325131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3325868Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3325998Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3326445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3326576Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3327172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3327301Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3327892Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3328039Z     self_outputs = self.self(
2025-08-14T22:16:51.3328619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3328800Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3329515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3329871Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3329887Z 
2025-08-14T22:16:51.3330026Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3330160Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3330353Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3331088Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3331214Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3331668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3331800Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3332393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3332521Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3333175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3333304Z     self_outputs = self.self(
2025-08-14T22:16:51.3333881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.3334002Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.3334024Z 
2025-08-14T22:16:51.3334212Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3334949Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3335074Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3335520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3335759Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3336338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3336465Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3337038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3337186Z     self_outputs = self.self(
2025-08-14T22:16:51.3337749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.3337886Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.3337901Z 
2025-08-14T22:16:51.3338248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3338994Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3339113Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3339568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3339707Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3340295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3340457Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3341053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3341169Z     self_outputs = self.self(
2025-08-14T22:16:51.3341752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.3341891Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.3341906Z 
2025-08-14T22:16:51.3342094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3342911Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3343035Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3343494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3343633Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3344406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3344551Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3345150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3345281Z     self_outputs = self.self(
2025-08-14T22:16:51.3345953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3346174Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3346943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3347281Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.3347674Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3347855Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3347870Z 
2025-08-14T22:16:51.3348062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3348833Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3348959Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3349426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3349570Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3350205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3350345Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3350949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3351067Z     self_outputs = self.self(
2025-08-14T22:16:51.3351673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3351885Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3352657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3352909Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.3354038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.3354283Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.3354678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3354851Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3354873Z 
2025-08-14T22:16:51.3355064Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3355830Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3356084Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3356537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3356672Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3357272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3357401Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3357993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3358111Z     self_outputs = self.self(
2025-08-14T22:16:51.3358695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3358911Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3359728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3360017Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3360037Z 
2025-08-14T22:16:51.3360223Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3360960Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3361086Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3361538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3361673Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3362262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3362397Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3362992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3363152Z     self_outputs = self.self(
2025-08-14T22:16:51.3363737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3363950Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3364690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3364979Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3364994Z 
2025-08-14T22:16:51.3365180Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3366009Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3366125Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3366536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3366696Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3367236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3367360Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3367901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3368082Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3368622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3368759Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3368773Z 
2025-08-14T22:16:51.3368942Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3369625Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3369737Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3370148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3370273Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3370809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3370931Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3371517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3371696Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3372236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3372371Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3372385Z 
2025-08-14T22:16:51.3372512Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3372682Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3373359Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3373475Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3373886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3374009Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3374749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.3374925Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.3375450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.3375571Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.3376140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.3376330Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.3376895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.3377089Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.3377506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.3377619Z     return self.act(input)
2025-08-14T22:16:51.3377634Z 
2025-08-14T22:16:51.3377828Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3378004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3378718Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3378837Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3379567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3379732Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3380370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3380504Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3381090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3381210Z     self_outputs = self.self(
2025-08-14T22:16:51.3381794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3381936Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3381951Z 
2025-08-14T22:16:51.3382133Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3383143Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3383268Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3383804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3383940Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3384538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3384686Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3385348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3385467Z     self_outputs = self.self(
2025-08-14T22:16:51.3386070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3386216Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3386232Z 
2025-08-14T22:16:51.3386426Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3387196Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3387319Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3387787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3387957Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3388565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3388696Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3389295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3389418Z     self_outputs = self.self(
2025-08-14T22:16:51.3390011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3390198Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3390937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3391331Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3391347Z 
2025-08-14T22:16:51.3391546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3392308Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3392431Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3392899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3393038Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3393647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3393780Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3394486Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3394611Z     self_outputs = self.self(
2025-08-14T22:16:51.3395191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.3395325Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.3395341Z 
2025-08-14T22:16:51.3395524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3396259Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3396382Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3396894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3397026Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3397710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3397839Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3398411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3398526Z     self_outputs = self.self(
2025-08-14T22:16:51.3399186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3399360Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3400022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3400296Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.3400827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.3400982Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.3400995Z 
2025-08-14T22:16:51.3401179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3401857Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3401984Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3402396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3402521Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3403068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3403186Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3403751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3403867Z     self_outputs = self.self(
2025-08-14T22:16:51.3404400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3404572Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3405228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3405554Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3405572Z 
2025-08-14T22:16:51.3405708Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3405836Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3406018Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3406703Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3406815Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3407237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3407361Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3407914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3408031Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3408619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3408744Z     self_outputs = self.self(
2025-08-14T22:16:51.3409275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.3409392Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.3409406Z 
2025-08-14T22:16:51.3409588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3410265Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3410388Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3410801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3410924Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3411482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3411600Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3412150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3412293Z     self_outputs = self.self(
2025-08-14T22:16:51.3412823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.3412959Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.3412973Z 
2025-08-14T22:16:51.3413147Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3413828Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3413950Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3414364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3414498Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3415040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3415186Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3415733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3415843Z     self_outputs = self.self(
2025-08-14T22:16:51.3416383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.3416516Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.3416530Z 
2025-08-14T22:16:51.3416701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3417391Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3417506Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3417937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3418059Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3418598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3418723Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3419259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3419368Z     self_outputs = self.self(
2025-08-14T22:16:51.3419958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3420154Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3420844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3421148Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.3421502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3421666Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3421680Z 
2025-08-14T22:16:51.3421853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3422617Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3422739Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3423353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3423502Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3424310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3424447Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3425058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3425178Z     self_outputs = self.self(
2025-08-14T22:16:51.3425787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3426002Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3426770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3427031Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.3427747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.3427913Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.3428304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3428478Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3428494Z 
2025-08-14T22:16:51.3428696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3429465Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3429601Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3430070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3430220Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3430830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3430961Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3431562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3431689Z     self_outputs = self.self(
2025-08-14T22:16:51.3432286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3432505Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3433319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3433610Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3433636Z 
2025-08-14T22:16:51.3433826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3434588Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3434716Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3435386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3435517Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3436200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3436319Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3436861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3436999Z     self_outputs = self.self(
2025-08-14T22:16:51.3437527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3437725Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3438572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3438855Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3438870Z 
2025-08-14T22:16:51.3439051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3439770Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3439897Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3440376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3440506Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3441080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3441208Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3447118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3447322Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3447916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3448067Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3448083Z 
2025-08-14T22:16:51.3448270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3449017Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3449138Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3449589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3449732Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3450314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3450450Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3451102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3451302Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3451901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3452043Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3452058Z 
2025-08-14T22:16:51.3452192Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3452385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3453119Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3453625Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3454093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3454223Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3454817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.3455036Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.3455573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.3455701Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.3456288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.3456485Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.3457069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.3457265Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.3457700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.3457816Z     return self.act(input)
2025-08-14T22:16:51.3457874Z 
2025-08-14T22:16:51.3458017Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3458202Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3458937Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3459066Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3459514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3459653Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3460242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3460371Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3460959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3461082Z     self_outputs = self.self(
2025-08-14T22:16:51.3461661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3461810Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3461825Z 
2025-08-14T22:16:51.3462013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3462860Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3463166Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3463713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3463859Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3464466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3464613Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3465209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3465329Z     self_outputs = self.self(
2025-08-14T22:16:51.3465930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 509, in forward
2025-08-14T22:16:51.3466076Z     query_vectors = self.query(hidden_states)
2025-08-14T22:16:51.3466091Z 
2025-08-14T22:16:51.3466287Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3467053Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3467179Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3467682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3467819Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3468423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3468563Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3469166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3469292Z     self_outputs = self.self(
2025-08-14T22:16:51.3469894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3470079Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3470825Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3471222Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3471238Z 
2025-08-14T22:16:51.3471440Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3472206Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3472332Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3472806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3472943Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3473559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3473692Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3474411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3474645Z     self_outputs = self.self(
2025-08-14T22:16:51.3475201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 510, in forward
2025-08-14T22:16:51.3475330Z     key_vectors = self.key(hidden_states)
2025-08-14T22:16:51.3475353Z 
2025-08-14T22:16:51.3475536Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3476249Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3476425Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3476860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3476988Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3477565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3477690Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3478261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3478377Z     self_outputs = self.self(
2025-08-14T22:16:51.3478936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3479117Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3479809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 790, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3480092Z     key = self._chunk(key, window_overlap, getattr(self.config, "onnx_export", False))
2025-08-14T22:16:51.3480688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 719, in _chunk
2025-08-14T22:16:51.3480816Z     hidden_states = hidden_states.view(
2025-08-14T22:16:51.3480831Z 
2025-08-14T22:16:51.3481016Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3481731Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3481848Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3482290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3482422Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3482997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3483124Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3483722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3483841Z     self_outputs = self.self(
2025-08-14T22:16:51.3484407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 524, in forward
2025-08-14T22:16:51.3484589Z     attn_scores = self._sliding_chunks_query_key_matmul(
2025-08-14T22:16:51.3485283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 796, in _sliding_chunks_query_key_matmul
2025-08-14T22:16:51.3485631Z     diagonal_chunked_attention_scores = torch.einsum("bcxd,bcyd->bcxy", (query, key))  # multiply
2025-08-14T22:16:51.3485645Z 
2025-08-14T22:16:51.3485785Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3485915Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3486108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3486828Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3486943Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3487390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3487521Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3488088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3488222Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3488836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3488962Z     self_outputs = self.self(
2025-08-14T22:16:51.3489532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 541, in forward
2025-08-14T22:16:51.3489648Z     attn_scores += diagonal_mask
2025-08-14T22:16:51.3489663Z 
2025-08-14T22:16:51.3489853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3490568Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3490691Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3491126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3491254Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3491953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3492070Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3492644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3492756Z     self_outputs = self.self(
2025-08-14T22:16:51.3493288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 579, in forward
2025-08-14T22:16:51.3493416Z     attn_probs = nn.functional.softmax(
2025-08-14T22:16:51.3493429Z 
2025-08-14T22:16:51.3493598Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3494273Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3494394Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3494805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3494931Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3495495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3495612Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3496152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3496256Z     self_outputs = self.self(
2025-08-14T22:16:51.3496785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 511, in forward
2025-08-14T22:16:51.3496921Z     value_vectors = self.value(hidden_states)
2025-08-14T22:16:51.3496935Z 
2025-08-14T22:16:51.3497106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3497785Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3497898Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3498306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3498433Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3498964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3499087Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3499619Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3499724Z     self_outputs = self.self(
2025-08-14T22:16:51.3500307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3500500Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3501187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 863, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3501489Z     padded_value = nn.functional.pad(value, (0, 0, window_overlap, window_overlap), value=-1)
2025-08-14T22:16:51.3501837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3501997Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3502011Z 
2025-08-14T22:16:51.3502179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3503114Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3503248Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3503739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3503920Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3509710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3509851Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3510462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3510586Z     self_outputs = self.self(
2025-08-14T22:16:51.3511188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3511410Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3512174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 876, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3512477Z     chunked_attn_probs = self._pad_and_diagonalize(chunked_attn_probs)
2025-08-14T22:16:51.3513155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 699, in _pad_and_diagonalize
2025-08-14T22:16:51.3513319Z     chunked_hidden_states = nn.functional.pad(
2025-08-14T22:16:51.3513712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad
2025-08-14T22:16:51.3513890Z     return torch._C._nn.pad(input, pad, mode, value)
2025-08-14T22:16:51.3513906Z 
2025-08-14T22:16:51.3514102Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3514871Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3515000Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3515464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3515725Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3516314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3516444Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3517028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3517151Z     self_outputs = self.self(
2025-08-14T22:16:51.3517730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3517999Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3518740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3519029Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3519045Z 
2025-08-14T22:16:51.3519240Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3519981Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3520109Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3520559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3520691Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3521393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3521520Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3522086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1135, in forward
2025-08-14T22:16:51.3522241Z     self_outputs = self.self(
2025-08-14T22:16:51.3522801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 613, in forward
2025-08-14T22:16:51.3523008Z     attn_output = self._sliding_chunks_matmul_attn_probs_value(
2025-08-14T22:16:51.3523725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 878, in _sliding_chunks_matmul_attn_probs_value
2025-08-14T22:16:51.3523994Z     context = torch.einsum("bcwd,bcdh->bcwh", (chunked_attn_probs, chunked_value))
2025-08-14T22:16:51.3524017Z 
2025-08-14T22:16:51.3524201Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3525019Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3525169Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3525579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3525698Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3526244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3526361Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3526900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3527077Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3527611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3527746Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3527764Z 
2025-08-14T22:16:51.3527933Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3528614Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3528725Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3529134Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3529268Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3529803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1199, in forward
2025-08-14T22:16:51.3529969Z     self_attn_outputs = self.attention(
2025-08-14T22:16:51.3530509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1144, in forward
2025-08-14T22:16:51.3530688Z     attn_output = self.output(self_outputs[0], hidden_states)
2025-08-14T22:16:51.3531229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1094, in forward
2025-08-14T22:16:51.3531359Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:16:51.3531373Z 
2025-08-14T22:16:51.3531498Z cudagraph partition due to non gpu ops
2025-08-14T22:16:51.3531668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:16:51.3532342Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1259, in torch_dynamo_resume_in_forward_at_1244
2025-08-14T22:16:51.3532462Z     layer_outputs = layer_module(
2025-08-14T22:16:51.3532878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:16:51.3532999Z     return super().__call__(*args, **kwargs)
2025-08-14T22:16:51.3533540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1211, in forward
2025-08-14T22:16:51.3533700Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:16:51.3534190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:16:51.3534311Z     return forward_fn(*input_tensors)
2025-08-14T22:16:51.3534851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1218, in ff_chunk
2025-08-14T22:16:51.3535032Z     intermediate_output = self.intermediate(attn_output)
2025-08-14T22:16:51.3535568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1161, in forward
2025-08-14T22:16:51.3535748Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:16:51.3536142Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:16:51.3536277Z     return self.act(input)
2025-08-14T22:16:51.3536291Z 
2025-08-14T22:16:51.3536421Z cudagraph partition due to non gpu ops
2025-08-14T22:17:54.1211122Z cudagraph partition due to non gpu ops
2025-08-14T22:17:54.1211674Z cudagraph partition due to non gpu ops
2025-08-14T22:17:54.1212552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:17:54.1213907Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1716, in torch_dynamo_resume_in_forward_at_1703
2025-08-14T22:17:54.1214972Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T22:17:54.1215904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/longformer/modeling_longformer.py", line 1338, in forward
2025-08-14T22:17:54.1217004Z     x = self.decoder(x)
2025-08-14T22:17:54.1217200Z 
2025-08-14T22:17:56.7191168Z Compilation time (from dynamo_timed): 106.815400989
2025-08-14T22:17:56.7890182Z pass
2025-08-14T22:17:56.7890882Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:17:56.7892501Z TIMING: gc:0.00776 entire_frame_compile:106.8154 _recursive_pre_grad_passes:0.1999 _recursive_joint_graph_passes:1.50714 _recursive_post_grad_passes:1.53345 async_compile.wait:3.9922 code_gen:69.99574 inductor_compile:78.15643 backend_compile:99.20138 total_wall_time:106.8154
2025-08-14T22:17:56.7894455Z STATS: call_* op count: 1783 | FakeTensorMode.__torch_dispatch__:71590 | FakeTensor.__torch_dispatch__:9650 | ProxyTorchDispatchMode.__torch_dispatch__:18728
2025-08-14T22:17:56.7895468Z Dynamo produced 4 graphs covering 1783 ops with 4 graph breaks (1 unique)
2025-08-14T22:18:02.6935990Z 
2025-08-14T22:18:04.5897102Z loading model: 0it [00:00, ?it/s]Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`.
2025-08-14T22:18:04.5901132Z WARNING:transformers.models.reformer.modeling_reformer:Passing a tuple of `past_key_values` is deprecated and will be removed in Transformers v4.58.0. You should pass an instance of `ReformerDynamicCache` instead, e.g. `past_key_values=ReformerDynamicCache.from_legacy_cache(past_key_values)`.
2025-08-14T22:18:05.2193785Z 
2025-08-14T22:18:05.2194324Z loading model: 0it [00:02, ?it/s]
2025-08-14T22:18:05.2208181Z cpu  eval  hf_Reformer                        
2025-08-14T22:18:08.0087029Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:09.0236331Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:10.0350910Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:13.7788174Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:13.7789437Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2095, in forward
2025-08-14T22:18:13.7790441Z     least_common_mult_chunk_length = _get_least_common_mult_chunk_len(self.config)
2025-08-14T22:18:13.7791598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 194, in _get_least_common_mult_chunk_len
2025-08-14T22:18:13.7792728Z     return np.lcm(config.lsh_attn_chunk_length, config.local_attn_chunk_length)
2025-08-14T22:18:13.7793151Z 
2025-08-14T22:18:13.7793360Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:13.7794383Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2099, in forward
2025-08-14T22:18:13.7795359Z     input_shape[-1] % least_common_mult_chunk_length != 0
2025-08-14T22:18:13.7795877Z 
2025-08-14T22:18:16.8422699Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break from `Tensor.item()`, consider setting:
2025-08-14T22:18:16.8424524Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     torch._dynamo.config.capture_scalar_outputs = True
2025-08-14T22:18:16.8425543Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] or:
2025-08-14T22:18:16.8426509Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1
2025-08-14T22:18:16.8427693Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] to include these operations in the captured graph.
2025-08-14T22:18:16.8428689Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-14T22:18:16.8429604Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] Graph break: from user code at:
2025-08-14T22:18:16.8438309Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2132, in torch_dynamo_resume_in_forward_at_2104
2025-08-14T22:18:16.8442095Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     embedding_output = self.embeddings(
2025-08-14T22:18:16.8443631Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 369, in forward
2025-08-14T22:18:16.8445427Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     position_embeddings = self.position_embeddings(position_ids)
2025-08-14T22:18:16.8447054Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward
2025-08-14T22:18:16.8448612Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0]     max_position_id = position_ids.max().item()
2025-08-14T22:18:16.8449732Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-14T22:18:16.8450411Z W0814 22:18:16.841254 23785 site-packages/torch/_dynamo/variables/tensor.py:1048] [4/0] 
2025-08-14T22:18:17.0779564Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:17.0780530Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 351, in forward
2025-08-14T22:18:17.0781382Z     position_ids = torch.arange(
2025-08-14T22:18:17.0781621Z 
2025-08-14T22:18:17.0781868Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:17.0782878Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 357, in forward
2025-08-14T22:18:17.0784208Z     inputs_embeds = self.word_embeddings(input_ids)
2025-08-14T22:18:17.0784515Z 
2025-08-14T22:18:18.4050051Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:18.4051017Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 293, in forward
2025-08-14T22:18:18.4051873Z     max_position_id = position_ids.max().item()
2025-08-14T22:18:18.4052156Z 
2025-08-14T22:18:19.4865708Z cudagraph partition due to non gpu ops
2025-08-14T22:18:19.4866234Z cudagraph partition due to non gpu ops
2025-08-14T22:18:19.4873799Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:19.4875084Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 297, in torch_dynamo_resume_in_forward_at_293
2025-08-14T22:18:19.4876071Z     position_encodings = torch.cat(
2025-08-14T22:18:19.4876320Z 
2025-08-14T22:18:19.4876522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:19.4877745Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 303, in torch_dynamo_resume_in_forward_at_293
2025-08-14T22:18:19.4878716Z     position_encodings = torch.cat(
2025-08-14T22:18:19.4878957Z 
2025-08-14T22:18:20.5904289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:20.5905671Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 370, in torch_dynamo_resume_in_forward_at_369
2025-08-14T22:18:20.5906720Z     embeddings = embeddings + position_embeddings
2025-08-14T22:18:20.5907022Z 
2025-08-14T22:18:30.5156864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5158117Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5166107Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5166993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5167824Z     layer_outputs = layer(
2025-08-14T22:18:30.5168798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5170325Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5171630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5173225Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5175138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5176968Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5178864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:18:30.5180244Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:18:30.5180765Z 
2025-08-14T22:18:30.5181023Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5182190Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5183586Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5184641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5185553Z     layer_outputs = layer(
2025-08-14T22:18:30.5186411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5187431Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5188557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5190203Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5191813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5193852Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5196326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5198422Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-14T22:18:30.5199088Z 
2025-08-14T22:18:30.5199446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5201505Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5203400Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5204823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5205812Z     layer_outputs = layer(
2025-08-14T22:18:30.5206818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5208325Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5209793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5211371Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5212850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5214543Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5216707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5218602Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.5220194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 180, in _stable_argsort
2025-08-14T22:18:30.5224433Z     scale_offset = torch.arange(vector.shape[dim], device=vector.device).view(1, 1, -1)
2025-08-14T22:18:30.5225056Z 
2025-08-14T22:18:30.5225596Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5226667Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5227701Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5228585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5229428Z     layer_outputs = layer(
2025-08-14T22:18:30.5230217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5231052Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5231874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5232758Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5233621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5234815Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5235815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:18:30.5236896Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:18:30.5237391Z 
2025-08-14T22:18:30.5237583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5238618Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5239619Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5240470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5241273Z     layer_outputs = layer(
2025-08-14T22:18:30.5242035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5242898Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5243701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5244541Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5245388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5246444Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5247705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5248798Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-14T22:18:30.5249172Z 
2025-08-14T22:18:30.5249364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5250398Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5251404Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5252242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5253061Z     layer_outputs = layer(
2025-08-14T22:18:30.5254322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5255274Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5256082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5256940Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5257797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5258754Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5259757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:18:30.5260838Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:18:30.5261334Z 
2025-08-14T22:18:30.5261538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5262643Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5263846Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5264727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5265627Z     layer_outputs = layer(
2025-08-14T22:18:30.5266410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5267260Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5268085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5268957Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5269838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5270937Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5272232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 807, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5273431Z     undo_sorted_bucket_idx.scatter_(-1, sorted_bucket_idx, indices)
2025-08-14T22:18:30.5273814Z 
2025-08-14T22:18:30.5274015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5275173Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5276182Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5277023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5277847Z     layer_outputs = layer(
2025-08-14T22:18:30.5278617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5279441Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5280230Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5281086Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5281940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-14T22:18:30.5282792Z     query_vectors = self.query(hidden_states)
2025-08-14T22:18:30.5283107Z 
2025-08-14T22:18:30.5283438Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5284472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5285549Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5286386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5287204Z     layer_outputs = layer(
2025-08-14T22:18:30.5288040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5288867Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5289655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5290507Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5291358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-14T22:18:30.5292172Z     key_vectors = self.key(hidden_states)
2025-08-14T22:18:30.5292440Z 
2025-08-14T22:18:30.5292588Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5292978Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5293417Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5294469Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5295471Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5296316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5297128Z     layer_outputs = layer(
2025-08-14T22:18:30.5297884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5298707Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5299513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5300353Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5301204Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:18:30.5302286Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5303436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5304611Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5305051Z 
2025-08-14T22:18:30.5305197Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5305604Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5306060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5307120Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5308158Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5309038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5309868Z     layer_outputs = layer(
2025-08-14T22:18:30.5310662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5311627Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5312459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5313326Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5314392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:18:30.5315527Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5316574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.5317399Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.5317646Z 
2025-08-14T22:18:30.5317828Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5318874Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5319847Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5320657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5321454Z     layer_outputs = layer(
2025-08-14T22:18:30.5322201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5322987Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5323795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5324628Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5325453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:18:30.5326381Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.5326793Z 
2025-08-14T22:18:30.5326978Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5327973Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5328946Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5329753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5330694Z     layer_outputs = layer(
2025-08-14T22:18:30.5331394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5332134Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5332865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5333646Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5334428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:18:30.5335306Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.5335700Z 
2025-08-14T22:18:30.5335877Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5336821Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5337752Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5338515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5339263Z     layer_outputs = layer(
2025-08-14T22:18:30.5339964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5340716Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5341440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5342272Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5343305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-14T22:18:30.5344319Z     value_vectors = self.value(hidden_states)
2025-08-14T22:18:30.5344611Z 
2025-08-14T22:18:30.5344758Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5345159Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5345683Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5346833Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5347876Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5348755Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5349599Z     layer_outputs = layer(
2025-08-14T22:18:30.5350391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5351241Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5352110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5352977Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5354275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-14T22:18:30.5355376Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5356604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5357605Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5358033Z 
2025-08-14T22:18:30.5358177Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5358567Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5359003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5360100Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5361109Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5361963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5362766Z     layer_outputs = layer(
2025-08-14T22:18:30.5363535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5364358Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5365161Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5366093Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5366921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:18:30.5367797Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.5368122Z 
2025-08-14T22:18:30.5368316Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5369302Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5370354Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5371129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5371973Z     layer_outputs = layer(
2025-08-14T22:18:30.5372683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5373426Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5374333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5375168Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5375985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:18:30.5376866Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.5377205Z 
2025-08-14T22:18:30.5377390Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5378391Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5379355Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5380182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5381047Z     layer_outputs = layer(
2025-08-14T22:18:30.5381796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5382651Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5383611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5384650Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5385521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-14T22:18:30.5386667Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:18:30.5387897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:18:30.5389020Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:18:30.5389428Z 
2025-08-14T22:18:30.5389626Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5390694Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5391731Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5392610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5393435Z     layer_outputs = layer(
2025-08-14T22:18:30.5394334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5395254Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5396141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:18:30.5397007Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:18:30.5397881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:18:30.5398650Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.5398897Z 
2025-08-14T22:18:30.5399037Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5399427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5400428Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5401351Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5402117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5402871Z     layer_outputs = layer(
2025-08-14T22:18:30.5403575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.5404416Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.5405244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:18:30.5405998Z     return apply_chunking_to_forward(
2025-08-14T22:18:30.5406714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:30.5407447Z     return forward_fn(*input_tensors)
2025-08-14T22:18:30.5415614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:18:30.5416500Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.5417385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:18:30.5418218Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:18:30.5418502Z 
2025-08-14T22:18:30.5418645Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5419086Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5420118Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5421113Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5421967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5422849Z     layer_outputs = layer(
2025-08-14T22:18:30.5423794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5425830Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5426663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5427543Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5428399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-14T22:18:30.5429291Z     query_key_vectors = self.query_key(hidden_states)
2025-08-14T22:18:30.5429606Z 
2025-08-14T22:18:30.5429800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5430866Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5431885Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5432757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5433599Z     layer_outputs = layer(
2025-08-14T22:18:30.5434387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5435288Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5436146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5436926Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5437753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5438638Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5439553Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:18:30.5440552Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:18:30.5441004Z 
2025-08-14T22:18:30.5441178Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5442122Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5443040Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5443817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5444549Z     layer_outputs = layer(
2025-08-14T22:18:30.5445256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5446008Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5446782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5447554Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5448328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5449212Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5450116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-14T22:18:30.5451040Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-14T22:18:30.5451445Z 
2025-08-14T22:18:30.5451620Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5452564Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5454063Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5454924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5455738Z     layer_outputs = layer(
2025-08-14T22:18:30.5456503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5457309Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5458111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5458971Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5459818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5460767Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5461771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-14T22:18:30.5462844Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-14T22:18:30.5463423Z 
2025-08-14T22:18:30.5463635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5464686Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5465725Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5466721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5467549Z     layer_outputs = layer(
2025-08-14T22:18:30.5468348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5469204Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5470034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5474299Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5476679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5479203Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5481064Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-14T22:18:30.5481945Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-14T22:18:30.5482253Z 
2025-08-14T22:18:30.5482442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5483540Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5484547Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5485385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5486200Z     layer_outputs = layer(
2025-08-14T22:18:30.5486975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5487881Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5488658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5489598Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5490374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5491376Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5492517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5493491Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.5494320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-14T22:18:30.5495236Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-14T22:18:30.5495638Z 
2025-08-14T22:18:30.5495769Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5496179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5497125Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5498036Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5498817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5499561Z     layer_outputs = layer(
2025-08-14T22:18:30.5500251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5501006Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5501814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5502672Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5503671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5504766Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5506055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5507159Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.5508087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-14T22:18:30.5509005Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-14T22:18:30.5509295Z 
2025-08-14T22:18:30.5509455Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5509865Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5510302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5511360Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5512437Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5513300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5514136Z     layer_outputs = layer(
2025-08-14T22:18:30.5514925Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5515835Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5516601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5517429Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5518248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5519114Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5520037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:18:30.5521039Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5522081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5522989Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5523379Z 
2025-08-14T22:18:30.5523509Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5523875Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5524277Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5525209Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5526134Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5526912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5527659Z     layer_outputs = layer(
2025-08-14T22:18:30.5528348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5529103Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5529836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5530662Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5531437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5532243Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5533562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:18:30.5534651Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5535787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.5536651Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.5536891Z 
2025-08-14T22:18:30.5537048Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5537481Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5538577Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5539655Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5540494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5541310Z     layer_outputs = layer(
2025-08-14T22:18:30.5542074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5543169Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5543982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5544859Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5545738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-14T22:18:30.5546609Z     value_vectors = self.value(hidden_states)
2025-08-14T22:18:30.5546888Z 
2025-08-14T22:18:30.5547124Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5548188Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5549223Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5550103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5550931Z     layer_outputs = layer(
2025-08-14T22:18:30.5551724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5552573Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5553793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5554688Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5555665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5556543Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5557399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:18:30.5558437Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5559518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5560640Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5561055Z 
2025-08-14T22:18:30.5561201Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5561650Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5562687Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5563697Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5564533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5565351Z     layer_outputs = layer(
2025-08-14T22:18:30.5566210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5566994Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5567773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5568600Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5569416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5570297Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5571135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:18:30.5572134Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5573177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.5574273Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.5574520Z 
2025-08-14T22:18:30.5574704Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5575707Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5576683Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5577537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5578331Z     layer_outputs = layer(
2025-08-14T22:18:30.5579075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5579858Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5580636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5581466Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5582295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-14T22:18:30.5583618Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-14T22:18:30.5584827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-14T22:18:30.5585785Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-14T22:18:30.5586085Z 
2025-08-14T22:18:30.5586299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5587350Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5588393Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5589268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5590171Z     layer_outputs = layer(
2025-08-14T22:18:30.5590950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5591804Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5592628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5593492Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5594362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5595310Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5596402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-14T22:18:30.5597362Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.5597788Z 
2025-08-14T22:18:30.5597977Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5599011Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5600057Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5600893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5601708Z     layer_outputs = layer(
2025-08-14T22:18:30.5602473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5603281Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5604083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5604942Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5605786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5606680Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5607542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-14T22:18:30.5608603Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5609701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5610694Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5611125Z 
2025-08-14T22:18:30.5611266Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5611717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5612747Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5613739Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5614584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5615500Z     layer_outputs = layer(
2025-08-14T22:18:30.5616345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5617103Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5617844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5618625Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5619464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5620265Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5621062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:18:30.5621878Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.5622184Z 
2025-08-14T22:18:30.5622357Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5623613Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5624803Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5625676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5626509Z     layer_outputs = layer(
2025-08-14T22:18:30.5627305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5628190Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5629004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5629883Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5630760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5631657Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5632539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:18:30.5633466Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.5633815Z 
2025-08-14T22:18:30.5633977Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5634418Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5635551Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5636648Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5637428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5638163Z     layer_outputs = layer(
2025-08-14T22:18:30.5638871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5639631Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5640376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5641153Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5641929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-14T22:18:30.5642941Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:18:30.5644035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:18:30.5644983Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:18:30.5645362Z 
2025-08-14T22:18:30.5645540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5646488Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5647467Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5648241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5648991Z     layer_outputs = layer(
2025-08-14T22:18:30.5649691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5650426Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5651158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:18:30.5652028Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:18:30.5652901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:18:30.5654230Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.5654519Z 
2025-08-14T22:18:30.5654668Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5655107Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5656140Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5657207Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5658123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5666098Z     layer_outputs = layer(
2025-08-14T22:18:30.5666875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.5667822Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.5668778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:18:30.5669631Z     return apply_chunking_to_forward(
2025-08-14T22:18:30.5670425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:30.5671322Z     return forward_fn(*input_tensors)
2025-08-14T22:18:30.5672192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:18:30.5673096Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.5673944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:18:30.5674910Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:18:30.5675186Z 
2025-08-14T22:18:30.5675343Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5675768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5676806Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5690129Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5691163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5691959Z     layer_outputs = layer(
2025-08-14T22:18:30.5692723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5693532Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5694310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5695143Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5696131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-14T22:18:30.5696941Z     query_vectors = self.query(hidden_states)
2025-08-14T22:18:30.5697219Z 
2025-08-14T22:18:30.5697403Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5698407Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5699388Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5700200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5700988Z     layer_outputs = layer(
2025-08-14T22:18:30.5701730Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5702619Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5703593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5704632Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5705509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-14T22:18:30.5706394Z     key_vectors = self.key(hidden_states)
2025-08-14T22:18:30.5706672Z 
2025-08-14T22:18:30.5706818Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5707219Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5707668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5708719Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5709762Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5710644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5711487Z     layer_outputs = layer(
2025-08-14T22:18:30.5712266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5713163Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5713992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5714953Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5716024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:18:30.5716985Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5717982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5718891Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5719283Z 
2025-08-14T22:18:30.5719415Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5719777Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5720348Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5723222Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5724231Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5725086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5725956Z     layer_outputs = layer(
2025-08-14T22:18:30.5726863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5727694Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5728500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5729349Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5730199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:18:30.5731241Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5732325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.5733166Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.5733417Z 
2025-08-14T22:18:30.5733606Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5734640Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5735645Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5736528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5737343Z     layer_outputs = layer(
2025-08-14T22:18:30.5738111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5738916Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5739815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5740744Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5741531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:18:30.5742413Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.5743045Z 
2025-08-14T22:18:30.5743242Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5744499Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5745537Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5746399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5747234Z     layer_outputs = layer(
2025-08-14T22:18:30.5748025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5748870Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5749688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5750571Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5751444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:18:30.5752436Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.5752874Z 
2025-08-14T22:18:30.5753070Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5754598Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5755642Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5756601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5757537Z     layer_outputs = layer(
2025-08-14T22:18:30.5758321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5759150Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5759944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5760804Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5761660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-14T22:18:30.5762492Z     value_vectors = self.value(hidden_states)
2025-08-14T22:18:30.5762777Z 
2025-08-14T22:18:30.5762919Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5763308Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5763742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5764763Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5765770Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5766670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5767491Z     layer_outputs = layer(
2025-08-14T22:18:30.5768247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5769070Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5769877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5770721Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5771576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-14T22:18:30.5772649Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5773748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5774787Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5775213Z 
2025-08-14T22:18:30.5775358Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5775744Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5776184Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5777203Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5778301Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5779129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5779906Z     layer_outputs = layer(
2025-08-14T22:18:30.5780651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5781451Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5782226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5783282Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5784332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:18:30.5785259Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.5785602Z 
2025-08-14T22:18:30.5785816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5786939Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5788050Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5788931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5789771Z     layer_outputs = layer(
2025-08-14T22:18:30.5790548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5791394Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5792218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5793080Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5793959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:18:30.5794888Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.5795340Z 
2025-08-14T22:18:30.5795546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5796601Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5797598Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5798447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5799243Z     layer_outputs = layer(
2025-08-14T22:18:30.5799990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5800791Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5801580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5802404Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5803433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-14T22:18:30.5804453Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:18:30.5805526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:18:30.5806467Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:18:30.5806839Z 
2025-08-14T22:18:30.5807012Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5807945Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5808849Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5809611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5810350Z     layer_outputs = layer(
2025-08-14T22:18:30.5811041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5811774Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5812487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:18:30.5813521Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:18:30.5814433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:18:30.5815279Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.5815548Z 
2025-08-14T22:18:30.5815683Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5816095Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5817095Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5818044Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5818849Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5819624Z     layer_outputs = layer(
2025-08-14T22:18:30.5820350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.5821221Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.5822097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:18:30.5823134Z     return apply_chunking_to_forward(
2025-08-14T22:18:30.5823939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:30.5824909Z     return forward_fn(*input_tensors)
2025-08-14T22:18:30.5825760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:18:30.5826642Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.5827479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:18:30.5828334Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:18:30.5828618Z 
2025-08-14T22:18:30.5828762Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5829204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5830242Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5831293Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5832147Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5832968Z     layer_outputs = layer(
2025-08-14T22:18:30.5833738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5834675Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5835460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5836289Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5837122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-14T22:18:30.5837970Z     query_key_vectors = self.query_key(hidden_states)
2025-08-14T22:18:30.5838266Z 
2025-08-14T22:18:30.5838457Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5839468Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5840555Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5841360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5842132Z     layer_outputs = layer(
2025-08-14T22:18:30.5842864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5843720Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5844471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5845516Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5846473Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5847416Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5848405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:18:30.5849473Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:18:30.5849964Z 
2025-08-14T22:18:30.5850152Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5851162Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5852154Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5853031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5854229Z     layer_outputs = layer(
2025-08-14T22:18:30.5854978Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5855800Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5856598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5857441Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5858272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5859221Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5860208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-14T22:18:30.5861277Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-14T22:18:30.5861694Z 
2025-08-14T22:18:30.5861880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5863172Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5864197Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5865046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5865878Z     layer_outputs = layer(
2025-08-14T22:18:30.5866671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5867509Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5868315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5869182Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5870050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5871032Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5872037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-14T22:18:30.5873042Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-14T22:18:30.5873536Z 
2025-08-14T22:18:30.5873742Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5874988Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5875950Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5876763Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5877544Z     layer_outputs = layer(
2025-08-14T22:18:30.5878266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5879053Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5879822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5880642Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5881441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.5882365Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.5883368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-14T22:18:30.5884221Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-14T22:18:30.5884501Z 
2025-08-14T22:18:30.5884679Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5885776Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5886679Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5887447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5888169Z     layer_outputs = layer(
2025-08-14T22:18:30.5888867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5889648Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5890361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5891133Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5891898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5892859Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5893989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5894960Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.5895785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-14T22:18:30.5896715Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-14T22:18:30.5897091Z 
2025-08-14T22:18:30.5897221Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5897614Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5898548Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5899450Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5900263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5901003Z     layer_outputs = layer(
2025-08-14T22:18:30.5901696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5902436Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5903442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5904313Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5905178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.5906247Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.5907529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.5913550Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.5914485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-14T22:18:30.5915537Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-14T22:18:30.5915828Z 
2025-08-14T22:18:30.5915968Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5916353Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5916768Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5917787Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5918777Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5919617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5920413Z     layer_outputs = layer(
2025-08-14T22:18:30.5921167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5922013Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5922805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5923637Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5924472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5925329Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5926167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:18:30.5927465Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5928493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5929407Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5929780Z 
2025-08-14T22:18:30.5929908Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5930260Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5930651Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5931585Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5932479Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5933247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5934032Z     layer_outputs = layer(
2025-08-14T22:18:30.5934725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5935459Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5936187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5936961Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5937711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5938499Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5939280Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:18:30.5940273Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5941289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.5942088Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.5942312Z 
2025-08-14T22:18:30.5942442Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5943078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5944121Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5945144Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5946008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5946827Z     layer_outputs = layer(
2025-08-14T22:18:30.5947610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5948442Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5949253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5950152Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5951010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-14T22:18:30.5951861Z     value_vectors = self.value(hidden_states)
2025-08-14T22:18:30.5952133Z 
2025-08-14T22:18:30.5952332Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5953767Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5954801Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5955772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5956577Z     layer_outputs = layer(
2025-08-14T22:18:30.5957327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5958138Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5958930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5959763Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5960595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5961457Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5962431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:18:30.5963450Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5964515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.5965633Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.5966007Z 
2025-08-14T22:18:30.5966146Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.5966530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5967458Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5968361Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5969136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5969855Z     layer_outputs = layer(
2025-08-14T22:18:30.5976544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5978856Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5980921Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5982748Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5983773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.5984658Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.5985531Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:18:30.5986589Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.5987688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.5988610Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.5988855Z 
2025-08-14T22:18:30.5989044Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.5990090Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.5991115Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.5991971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.5992801Z     layer_outputs = layer(
2025-08-14T22:18:30.5993583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.5994514Z     attn_outputs = self.attention(
2025-08-14T22:18:30.5995361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.5996130Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.5996889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-14T22:18:30.5997872Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-14T22:18:30.5998913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-14T22:18:30.5999749Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-14T22:18:30.6000011Z 
2025-08-14T22:18:30.6000192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6001182Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6002082Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6002855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6003591Z     layer_outputs = layer(
2025-08-14T22:18:30.6004272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6005013Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6005742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6006518Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6007277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6008069Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6009028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-14T22:18:30.6009987Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.6010382Z 
2025-08-14T22:18:30.6010568Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6011545Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6012500Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6013307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6014091Z     layer_outputs = layer(
2025-08-14T22:18:30.6014816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6015597Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6016393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6017198Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6018003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6018833Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6019657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-14T22:18:30.6020675Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6021797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.6022768Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.6023335Z 
2025-08-14T22:18:30.6023484Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6023910Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6025125Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6026145Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6027007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6027823Z     layer_outputs = layer(
2025-08-14T22:18:30.6028663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6029503Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6030307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6031175Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6032034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6032980Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6033963Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:18:30.6034877Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.6035224Z 
2025-08-14T22:18:30.6035413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6036553Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6037590Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6038469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6039267Z     layer_outputs = layer(
2025-08-14T22:18:30.6040025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6040825Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6041606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6042444Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6043269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6044123Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6044966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:18:30.6045877Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.6046209Z 
2025-08-14T22:18:30.6046346Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6046770Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6047785Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6048776Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6049608Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6050410Z     layer_outputs = layer(
2025-08-14T22:18:30.6051162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6052049Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6052817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6054145Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6054984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-14T22:18:30.6056058Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:18:30.6057234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:18:30.6058371Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:18:30.6058766Z 
2025-08-14T22:18:30.6058962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6059983Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6060975Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6061815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6062710Z     layer_outputs = layer(
2025-08-14T22:18:30.6063645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6064484Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6065310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:18:30.6066279Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:18:30.6067259Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:18:30.6068171Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.6068447Z 
2025-08-14T22:18:30.6068648Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6069689Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6070709Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6071571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6072397Z     layer_outputs = layer(
2025-08-14T22:18:30.6073174Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1601, in forward
2025-08-14T22:18:30.6074034Z     attn_output = prev_attn_output + attn_output
2025-08-14T22:18:30.6074487Z 
2025-08-14T22:18:30.6074629Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6075153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6076136Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6077093Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6077900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6078671Z     layer_outputs = layer(
2025-08-14T22:18:30.6079407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.6080285Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.6081159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:18:30.6081947Z     return apply_chunking_to_forward(
2025-08-14T22:18:30.6082694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:30.6083451Z     return forward_fn(*input_tensors)
2025-08-14T22:18:30.6084249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:18:30.6085079Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.6085980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:18:30.6086790Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:18:30.6087038Z 
2025-08-14T22:18:30.6087165Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6087554Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6088486Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6089390Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6090149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6090885Z     layer_outputs = layer(
2025-08-14T22:18:30.6091575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6092316Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6093039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6093807Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6094578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1198, in forward
2025-08-14T22:18:30.6095864Z     query_vectors = self.query(hidden_states)
2025-08-14T22:18:30.6096138Z 
2025-08-14T22:18:30.6096355Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6097370Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6098369Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6099196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6099992Z     layer_outputs = layer(
2025-08-14T22:18:30.6100749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6101556Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6102333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6103467Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6104329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1199, in forward
2025-08-14T22:18:30.6105162Z     key_vectors = self.key(hidden_states)
2025-08-14T22:18:30.6105429Z 
2025-08-14T22:18:30.6105566Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6105951Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6106385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6107426Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6108439Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6109294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6110121Z     layer_outputs = layer(
2025-08-14T22:18:30.6110885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6111714Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6112516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6113368Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6113952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:18:30.6114466Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6115152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.6115408Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.6115422Z 
2025-08-14T22:18:30.6115544Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6115672Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6115840Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6116499Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6116640Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6117156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6117264Z     layer_outputs = layer(
2025-08-14T22:18:30.6117776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6117920Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6118436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6118583Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6119105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1265, in forward
2025-08-14T22:18:30.6119417Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6119961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.6120085Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.6120099Z 
2025-08-14T22:18:30.6120270Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6120927Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6121099Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6121612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6121721Z     layer_outputs = layer(
2025-08-14T22:18:30.6122234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6122355Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6122872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6123014Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6123535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:18:30.6123792Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.6123806Z 
2025-08-14T22:18:30.6123979Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6124645Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6124787Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6125308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6125412Z     layer_outputs = layer(
2025-08-14T22:18:30.6125984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6126118Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6126636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6126801Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6127315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1272, in forward
2025-08-14T22:18:30.6127569Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.6127583Z 
2025-08-14T22:18:30.6127769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6128425Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6128587Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6129104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6129247Z     layer_outputs = layer(
2025-08-14T22:18:30.6129777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6129895Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6130409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6130568Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6131087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1200, in forward
2025-08-14T22:18:30.6131234Z     value_vectors = self.value(hidden_states)
2025-08-14T22:18:30.6131248Z 
2025-08-14T22:18:30.6131380Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6131508Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6131693Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6132353Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6132537Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6133055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6133164Z     layer_outputs = layer(
2025-08-14T22:18:30.6133691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6133811Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6134331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6134491Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6135010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1266, in forward
2025-08-14T22:18:30.6135369Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6135916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.6136170Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.6136185Z 
2025-08-14T22:18:30.6136326Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6136450Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6136637Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6137346Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6137493Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6138031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6138141Z     layer_outputs = layer(
2025-08-14T22:18:30.6138660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6138794Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6139310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6139470Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6139990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:18:30.6140182Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.6140196Z 
2025-08-14T22:18:30.6140381Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6141083Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6141239Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6141757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6141866Z     layer_outputs = layer(
2025-08-14T22:18:30.6142394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6142513Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6143309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6143470Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6144207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1308, in forward
2025-08-14T22:18:30.6144543Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.6144560Z 
2025-08-14T22:18:30.6144758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6145516Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6145679Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6146267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6146405Z     layer_outputs = layer(
2025-08-14T22:18:30.6146994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6147128Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6147729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6147895Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6148490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1324, in forward
2025-08-14T22:18:30.6148907Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:18:30.6149578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:18:30.6149919Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:18:30.6149935Z 
2025-08-14T22:18:30.6150132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6150886Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6151056Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6151640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6151774Z     layer_outputs = layer(
2025-08-14T22:18:30.6152357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6152500Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6153083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:18:30.6153783Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:18:30.6154388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:18:30.6154619Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.6154635Z 
2025-08-14T22:18:30.6154779Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6154989Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6155734Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6156015Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6156584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6156698Z     layer_outputs = layer(
2025-08-14T22:18:30.6157270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.6157495Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.6162987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:18:30.6163123Z     return apply_chunking_to_forward(
2025-08-14T22:18:30.6163664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:30.6163799Z     return forward_fn(*input_tensors)
2025-08-14T22:18:30.6164396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:18:30.6164539Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.6165117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:18:30.6165266Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:18:30.6165281Z 
2025-08-14T22:18:30.6165424Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6165615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6166329Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6166495Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6167062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6167184Z     layer_outputs = layer(
2025-08-14T22:18:30.6167749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6167962Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6168536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6168694Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6169260Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 540, in forward
2025-08-14T22:18:30.6169438Z     query_key_vectors = self.query_key(hidden_states)
2025-08-14T22:18:30.6169453Z 
2025-08-14T22:18:30.6169640Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6170364Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6170519Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6171086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6171215Z     layer_outputs = layer(
2025-08-14T22:18:30.6171775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6171948Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6172507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6172665Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6173233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.6173502Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.6174107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 749, in _hash_vectors
2025-08-14T22:18:30.6174473Z     random_rotations = torch.randn(rotations_shape, device=vectors.device, dtype=vectors.dtype)
2025-08-14T22:18:30.6174488Z 
2025-08-14T22:18:30.6174676Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6175408Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6175594Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6176170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6176290Z     layer_outputs = layer(
2025-08-14T22:18:30.6176954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6177092Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6177644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6177794Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6178345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.6178611Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.6179189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 751, in _hash_vectors
2025-08-14T22:18:30.6179464Z     rotated_vectors = torch.einsum("bmtd,mdhr->bmhtr", vectors, random_rotations)
2025-08-14T22:18:30.6179479Z 
2025-08-14T22:18:30.6179657Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6180360Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6180567Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6181121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6181237Z     layer_outputs = layer(
2025-08-14T22:18:30.6181781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6181911Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6182457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6182688Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6183410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.6183679Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.6184458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 754, in _hash_vectors
2025-08-14T22:18:30.6184732Z     rotated_vectors = torch.cat([rotated_vectors, -rotated_vectors], dim=-1)
2025-08-14T22:18:30.6184785Z 
2025-08-14T22:18:30.6184988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6185726Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6185886Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6186475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6186595Z     layer_outputs = layer(
2025-08-14T22:18:30.6187172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6187314Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6187890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6188064Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6188671Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 578, in forward
2025-08-14T22:18:30.6188949Z     buckets = self._hash_vectors(query_key_vectors, num_hashes, attention_mask)
2025-08-14T22:18:30.6189566Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 755, in _hash_vectors
2025-08-14T22:18:30.6189734Z     buckets = torch.argmax(rotated_vectors, dim=-1)
2025-08-14T22:18:30.6189750Z 
2025-08-14T22:18:30.6189953Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6190694Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6190855Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6191444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6191567Z     layer_outputs = layer(
2025-08-14T22:18:30.6192155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6192285Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6192862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6193037Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6193610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.6194055Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.6194937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.6195229Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.6195942Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 182, in _stable_argsort
2025-08-14T22:18:30.6196201Z     scaled_vector = vector.shape[dim] * vector + (scale_offset % vector.shape[dim])
2025-08-14T22:18:30.6196216Z 
2025-08-14T22:18:30.6196342Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6196524Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6197184Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6197338Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6197860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6197998Z     layer_outputs = layer(
2025-08-14T22:18:30.6198526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6198644Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6199163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6199309Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6199822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 587, in forward
2025-08-14T22:18:30.6200168Z     sorted_bucket_idx, undo_sorted_bucket_idx = self._get_sorted_bucket_idx_and_undo_sorted_bucket_idx(
2025-08-14T22:18:30.6200855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 796, in _get_sorted_bucket_idx_and_undo_sorted_bucket_idx
2025-08-14T22:18:30.6201049Z     sorted_bucket_idx = _stable_argsort(buckets, dim=-1)
2025-08-14T22:18:30.6201613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 183, in _stable_argsort
2025-08-14T22:18:30.6201757Z     return torch.argsort(scaled_vector, dim=dim)
2025-08-14T22:18:30.6201771Z 
2025-08-14T22:18:30.6201904Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6202030Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6202200Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6202867Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6203011Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6203535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6203644Z     layer_outputs = layer(
2025-08-14T22:18:30.6204160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6204281Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6204795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6204941Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6205459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6205674Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6206190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:18:30.6206557Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6207109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.6207372Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.6207387Z 
2025-08-14T22:18:30.6207511Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6207641Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6207813Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6208472Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6208625Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6209144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6209293Z     layer_outputs = layer(
2025-08-14T22:18:30.6209807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6209922Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6210444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6210594Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6211102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6211277Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6211790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 859, in _attend
2025-08-14T22:18:30.6212167Z     key_value_bucket_idx = self._look_adjacent(query_bucket_idx, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6212741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.6212858Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.6212872Z 
2025-08-14T22:18:30.6213004Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6213172Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6213839Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6213980Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6214503Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6214621Z     layer_outputs = layer(
2025-08-14T22:18:30.6215132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6215265Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6215777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6215921Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6216442Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 541, in forward
2025-08-14T22:18:30.6216573Z     value_vectors = self.value(hidden_states)
2025-08-14T22:18:30.6216587Z 
2025-08-14T22:18:30.6216755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6217475Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6217617Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6218151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6218259Z     layer_outputs = layer(
2025-08-14T22:18:30.6218774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6218900Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6219413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6219568Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6220087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6220470Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6227322Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:18:30.6228363Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6229948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.6230683Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.6230724Z 
2025-08-14T22:18:30.6231082Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6231579Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6233196Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6233355Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6233950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6234106Z     layer_outputs = layer(
2025-08-14T22:18:30.6234789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6234915Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6235475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6235641Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6236198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6236392Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6236951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 844, in _attend
2025-08-14T22:18:30.6237302Z     key_vectors = self._look_adjacent(key_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6237904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 400, in _look_adjacent
2025-08-14T22:18:30.6238032Z     return torch.cat(slices, dim=3)
2025-08-14T22:18:30.6238047Z 
2025-08-14T22:18:30.6238243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6239058Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6239203Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6239785Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6239895Z     layer_outputs = layer(
2025-08-14T22:18:30.6240410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6240532Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6241048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6241201Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6241712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 595, in forward
2025-08-14T22:18:30.6242073Z     query_key_vectors = self._gather_by_expansion(query_key_vectors, sorted_bucket_idx_per_hash, num_hashes)
2025-08-14T22:18:30.6242672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1099, in _gather_by_expansion
2025-08-14T22:18:30.6242820Z     return torch.gather(vectors, 2, expanded_idxs)
2025-08-14T22:18:30.6242834Z 
2025-08-14T22:18:30.6243017Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6243698Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6243842Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6244367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6244472Z     layer_outputs = layer(
2025-08-14T22:18:30.6244995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6245110Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6245628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6245782Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6246290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6246485Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6247005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 849, in _attend
2025-08-14T22:18:30.6247255Z     query_key_dots = torch.matmul(query_vectors, key_vectors.transpose(-1, -2))
2025-08-14T22:18:30.6247269Z 
2025-08-14T22:18:30.6247448Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6248105Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6248254Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6248792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6248901Z     layer_outputs = layer(
2025-08-14T22:18:30.6249426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6249542Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6250054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6250209Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6250720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6250897Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6251470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 845, in _attend
2025-08-14T22:18:30.6251810Z     value_vectors = self._look_adjacent(value_vectors, self.num_chunks_before, self.num_chunks_after)
2025-08-14T22:18:30.6252369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 399, in _look_adjacent
2025-08-14T22:18:30.6252620Z     slices.append(torch.cat([vectors[:, :, i:, ...], vectors[:, :, :i, ...]], dim=2))
2025-08-14T22:18:30.6252635Z 
2025-08-14T22:18:30.6252769Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6252941Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6254195Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6254367Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6254945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6255061Z     layer_outputs = layer(
2025-08-14T22:18:30.6255708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6255837Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6256404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6256564Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6257121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6257312Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6257875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:18:30.6258088Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.6258104Z 
2025-08-14T22:18:30.6258289Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6259049Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6259212Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6259775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6259893Z     layer_outputs = layer(
2025-08-14T22:18:30.6260459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6260583Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6261152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6261311Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6261864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 637, in forward
2025-08-14T22:18:30.6262056Z     out_vectors, logits, attention_probs = self._attend(
2025-08-14T22:18:30.6262694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 931, in _attend
2025-08-14T22:18:30.6263079Z     out_vectors = torch.matmul(attention_probs, value_vectors)
2025-08-14T22:18:30.6263095Z 
2025-08-14T22:18:30.6263236Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6263431Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6264271Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6264434Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6265017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6265151Z     layer_outputs = layer(
2025-08-14T22:18:30.6265732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6265870Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6266450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1417, in forward
2025-08-14T22:18:30.6266614Z     self_attention_outputs = self.self_attention(
2025-08-14T22:18:30.6267193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 692, in forward
2025-08-14T22:18:30.6267608Z     out_vectors = self._merge_hidden_size_dims(out_vectors, self.num_attention_heads, self.attention_head_size)
2025-08-14T22:18:30.6268279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 415, in _merge_hidden_size_dims
2025-08-14T22:18:30.6268584Z     return torch.reshape(x, (x.size()[0], -1, num_attn_heads * attn_head_size))
2025-08-14T22:18:30.6268600Z 
2025-08-14T22:18:30.6268792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6269540Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6269697Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6270289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6270406Z     layer_outputs = layer(
2025-08-14T22:18:30.6270986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1587, in forward
2025-08-14T22:18:30.6271123Z     attn_outputs = self.attention(
2025-08-14T22:18:30.6271703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1457, in forward
2025-08-14T22:18:30.6272012Z     attention_output = self.output(self_attention_outputs.hidden_states)
2025-08-14T22:18:30.6272591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1371, in forward
2025-08-14T22:18:30.6272740Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.6272755Z 
2025-08-14T22:18:30.6272905Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6273100Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6273840Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6274010Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6274689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6274821Z     layer_outputs = layer(
2025-08-14T22:18:30.6275388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.6275608Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.6276179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1509, in forward
2025-08-14T22:18:30.6276313Z     return apply_chunking_to_forward(
2025-08-14T22:18:30.6276854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:30.6276984Z     return forward_fn(*input_tensors)
2025-08-14T22:18:30.6277628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1518, in forward_chunk
2025-08-14T22:18:30.6277785Z     hidden_states = self.dense(hidden_states)
2025-08-14T22:18:30.6278351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1481, in forward
2025-08-14T22:18:30.6278494Z     hidden_states = self.act_fn(hidden_states)
2025-08-14T22:18:30.6278522Z 
2025-08-14T22:18:30.6278659Z cudagraph partition due to non gpu ops
2025-08-14T22:18:30.6278845Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6279568Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6279724Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6280293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1722, in forward
2025-08-14T22:18:30.6280417Z     layer_outputs = layer(
2025-08-14T22:18:30.6280979Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1612, in forward
2025-08-14T22:18:30.6281243Z     hidden_states = hidden_states + self.feed_forward(attn_output)
2025-08-14T22:18:30.6281259Z 
2025-08-14T22:18:30.6281443Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:30.6282157Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1841, in torch_dynamo_resume_in_forward_at_1837
2025-08-14T22:18:30.6282318Z     hidden_states = _ReversibleFunction.apply(
2025-08-14T22:18:30.6282952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1753, in forward
2025-08-14T22:18:30.6283259Z     return torch.cat([attn_output, hidden_states], dim=-1)
2025-08-14T22:18:30.6283281Z 
2025-08-14T22:18:36.2303102Z cudagraph partition due to non gpu ops
2025-08-14T22:18:36.2304125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:18:36.2306021Z    File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 2495, in torch_dynamo_resume_in_forward_at_2481
2025-08-14T22:18:36.2308281Z     logits = self.lm_head(sequence_output)
2025-08-14T22:18:36.2309865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1886, in forward
2025-08-14T22:18:36.2312000Z     return apply_chunking_to_forward(self.forward_chunk, self.chunk_size_lm_head, self.seq_len_dim, hidden_states)
2025-08-14T22:18:36.2314026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:18:36.2315653Z     return forward_fn(*input_tensors)
2025-08-14T22:18:36.2317281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/reformer/modeling_reformer.py", line 1889, in forward_chunk
2025-08-14T22:18:36.2318883Z     hidden_states = self.decoder(hidden_states)
2025-08-14T22:18:36.2319336Z 
2025-08-14T22:18:37.3052331Z Compilation time (from dynamo_timed): 25.207530953
2025-08-14T22:18:37.3053090Z pass
2025-08-14T22:18:37.3054456Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:37.3057480Z TIMING: gc:0.01343 entire_frame_compile:25.20753 _recursive_pre_grad_passes:0.06589 _recursive_joint_graph_passes:0.55397 _recursive_post_grad_passes:0.11006 async_compile.wait:4.58765 code_gen:12.18879 inductor_compile:15.78338 backend_compile:21.4053 total_wall_time:25.20753
2025-08-14T22:18:37.3061352Z STATS: call_* op count: 478 | FakeTensorMode.__torch_dispatch__:19830 | ProxyTorchDispatchMode.__torch_dispatch__:4665 | FakeTensor.__torch_dispatch__:3629
2025-08-14T22:18:37.3063977Z Dynamo produced 7 graphs covering 478 ops with 8 graph breaks (4 unique)
2025-08-14T22:18:42.5248811Z 
2025-08-14T22:18:43.5723376Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:18:43.5723854Z 
2025-08-14T22:18:43.5797150Z config.json:   0% 0.00/615 [00:00<?, ?B/s]
2025-08-14T22:18:43.5797792Z config.json: 100% 615/615 [00:00<00:00, 84.5kB/s]
2025-08-14T22:18:52.6067994Z 
2025-08-14T22:18:52.6068617Z loading model: 0it [00:10, ?it/s]
2025-08-14T22:18:52.6090973Z cpu  eval  hf_Roberta_base                    
2025-08-14T22:18:57.2926993Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:18:59.7835619Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:02.2348575Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:17.9219249Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9221781Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9224555Z     return mod(**inputs)
2025-08-14T22:19:17.9226533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9229040Z     outputs = self.roberta(
2025-08-14T22:19:17.9230027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:19:17.9231011Z     embedding_output = self.embeddings(
2025-08-14T22:19:17.9231938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-14T22:19:17.9233179Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-14T22:19:17.9234834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1576, in create_position_ids_from_input_ids
2025-08-14T22:19:17.9235878Z     mask = input_ids.ne(padding_idx).int()
2025-08-14T22:19:17.9236260Z 
2025-08-14T22:19:17.9236426Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9236925Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9237436Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9237828Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9238202Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9238699Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9239137Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9239580Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9240027Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9240400Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9240896Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9241287Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9241725Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9242560Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9243302Z     return mod(**inputs)
2025-08-14T22:19:17.9244148Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9245100Z     outputs = self.roberta(
2025-08-14T22:19:17.9246002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:19:17.9246935Z     embedding_output = self.embeddings(
2025-08-14T22:19:17.9247828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-14T22:19:17.9249098Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-14T22:19:17.9250639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1577, in create_position_ids_from_input_ids
2025-08-14T22:19:17.9252038Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-14T22:19:17.9252706Z 
2025-08-14T22:19:17.9252919Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9254290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9254973Z     return mod(**inputs)
2025-08-14T22:19:17.9255883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9256828Z     outputs = self.roberta(
2025-08-14T22:19:17.9257618Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 817, in forward
2025-08-14T22:19:17.9258578Z     embedding_output = self.embeddings(
2025-08-14T22:19:17.9259584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 90, in forward
2025-08-14T22:19:17.9260785Z     position_ids = create_position_ids_from_input_ids(input_ids, self.padding_idx, past_key_values_length)
2025-08-14T22:19:17.9262272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1577, in create_position_ids_from_input_ids
2025-08-14T22:19:17.9263964Z     incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
2025-08-14T22:19:17.9264588Z 
2025-08-14T22:19:17.9264803Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9265207Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9265605Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9266103Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9266550Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9266954Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9267458Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9267899Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9268777Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9269556Z     return mod(**inputs)
2025-08-14T22:19:17.9270666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9271677Z     outputs = self.roberta(
2025-08-14T22:19:17.9272491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9273457Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9274297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9275261Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9276011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9276737Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9277678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9278662Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9279555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9280338Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9281217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9282169Z     self_outputs = self.self(
2025-08-14T22:19:17.9283113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9283864Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9284668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9285622Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9285987Z 
2025-08-14T22:19:17.9286144Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9286521Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9286961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9287663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9288302Z     return mod(**inputs)
2025-08-14T22:19:17.9289069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9289899Z     outputs = self.roberta(
2025-08-14T22:19:17.9290685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9291503Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9292357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9293185Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9293871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9294580Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9295414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9296269Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9297077Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9297873Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9298758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9299770Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9300689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9301596Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9302351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9303102Z     return self.act(input)
2025-08-14T22:19:17.9303371Z 
2025-08-14T22:19:17.9303514Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9304079Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9304475Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9304874Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9305270Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9305662Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9306050Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9306442Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9306891Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9307607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9308263Z     return mod(**inputs)
2025-08-14T22:19:17.9309067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9309912Z     outputs = self.roberta(
2025-08-14T22:19:17.9310842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9311706Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9312549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9313397Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9314103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9314959Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9315799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9316639Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9317408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9318158Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9318950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9319774Z     self_outputs = self.self(
2025-08-14T22:19:17.9320488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9321275Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9322055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9323002Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9323365Z 
2025-08-14T22:19:17.9323521Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9323914Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9324337Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9325050Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9325690Z     return mod(**inputs)
2025-08-14T22:19:17.9326459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9327325Z     outputs = self.roberta(
2025-08-14T22:19:17.9328110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9328945Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9329745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9330574Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9331256Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9331966Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9333049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9333907Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9334716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9335503Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9336383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9337442Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9338363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9339259Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9340088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9340773Z     return self.act(input)
2025-08-14T22:19:17.9340979Z 
2025-08-14T22:19:17.9341121Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9341520Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9341913Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9342301Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9342771Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9343338Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9343734Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9344114Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9344566Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9345294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9345940Z     return mod(**inputs)
2025-08-14T22:19:17.9346748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9347608Z     outputs = self.roberta(
2025-08-14T22:19:17.9348414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9349304Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9350138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9350989Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9351678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9352423Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9353709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9354607Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9355488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9356238Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9357123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9357949Z     self_outputs = self.self(
2025-08-14T22:19:17.9358649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9359395Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9360192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9361120Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9361495Z 
2025-08-14T22:19:17.9361643Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9362031Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9362468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9363159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9363800Z     return mod(**inputs)
2025-08-14T22:19:17.9364582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9365512Z     outputs = self.roberta(
2025-08-14T22:19:17.9366274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9367086Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9367877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9368784Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9369452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9370155Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9370959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9371788Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9372573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9373349Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9374355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9375342Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9376271Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9377179Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9377966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9378643Z     return self.act(input)
2025-08-14T22:19:17.9378848Z 
2025-08-14T22:19:17.9378998Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9379375Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9379760Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9380147Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9380632Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9381002Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9381385Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9381770Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9382198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9382987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9383629Z     return mod(**inputs)
2025-08-14T22:19:17.9384649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9385504Z     outputs = self.roberta(
2025-08-14T22:19:17.9386315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9387165Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9387990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9388845Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9389552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9390294Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9391141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9392026Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9392818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9393579Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9394396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9399663Z     self_outputs = self.self(
2025-08-14T22:19:17.9400388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9401126Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9401999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9402944Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9403315Z 
2025-08-14T22:19:17.9403473Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9403856Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9404300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9405007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9405633Z     return mod(**inputs)
2025-08-14T22:19:17.9406414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9407245Z     outputs = self.roberta(
2025-08-14T22:19:17.9408029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9408851Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9409670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9410533Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9411203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9412020Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9412831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9413659Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9414432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9415210Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9416071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9417025Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9417939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9418810Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9419545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9420192Z     return self.act(input)
2025-08-14T22:19:17.9420404Z 
2025-08-14T22:19:17.9420542Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9420929Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9421308Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9421666Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9422042Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9422416Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9422859Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9423421Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9423880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9424599Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9425260Z     return mod(**inputs)
2025-08-14T22:19:17.9426068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9426922Z     outputs = self.roberta(
2025-08-14T22:19:17.9427718Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9428572Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9429478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9430332Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9431021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9431786Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9432651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9433531Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9434311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9435183Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9435959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9436769Z     self_outputs = self.self(
2025-08-14T22:19:17.9441471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9442357Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9443181Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9444120Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9444508Z 
2025-08-14T22:19:17.9444656Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9445054Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9445486Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9446197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9446843Z     return mod(**inputs)
2025-08-14T22:19:17.9447639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9448467Z     outputs = self.roberta(
2025-08-14T22:19:17.9449286Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9450165Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9450967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9451796Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9452481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9453651Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9454490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9455350Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9456158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9456945Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9462873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9464067Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9465016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9465941Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9466719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9467424Z     return self.act(input)
2025-08-14T22:19:17.9467637Z 
2025-08-14T22:19:17.9467893Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9468288Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9468689Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9469085Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9469466Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9469861Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9470256Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9470637Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9471085Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9471812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9472458Z     return mod(**inputs)
2025-08-14T22:19:17.9473267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9474126Z     outputs = self.roberta(
2025-08-14T22:19:17.9475024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9475934Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9476821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9477658Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9478436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9479127Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9479939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9480773Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9481512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9482240Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9483016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9483864Z     self_outputs = self.self(
2025-08-14T22:19:17.9484547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9485271Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9486045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9487082Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9487437Z 
2025-08-14T22:19:17.9487579Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9487963Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9488397Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9489072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9489697Z     return mod(**inputs)
2025-08-14T22:19:17.9490461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9491271Z     outputs = self.roberta(
2025-08-14T22:19:17.9492020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9492830Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9493622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9494415Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9495108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9495811Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9496621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9497443Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9498232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9499008Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9499850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9500806Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9501700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9502652Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9503627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9504366Z     return self.act(input)
2025-08-14T22:19:17.9504593Z 
2025-08-14T22:19:17.9504737Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9505142Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9505524Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9505917Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9506311Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9506691Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9507090Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9507483Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9507920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9508654Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9509316Z     return mod(**inputs)
2025-08-14T22:19:17.9510121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9511006Z     outputs = self.roberta(
2025-08-14T22:19:17.9511817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9512670Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9513496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9514357Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9515160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9515972Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9516772Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9517601Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9518360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9519095Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9520267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9521103Z     self_outputs = self.self(
2025-08-14T22:19:17.9521822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9522559Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9523360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9524343Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9524711Z 
2025-08-14T22:19:17.9524867Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9525246Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9525689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9526393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9527020Z     return mod(**inputs)
2025-08-14T22:19:17.9527799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9528631Z     outputs = self.roberta(
2025-08-14T22:19:17.9529413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9530236Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9531051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9531881Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9532590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9533348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9534184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9535038Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9535833Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9536629Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9537511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9538497Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9539513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9540427Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9541163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9541824Z     return self.act(input)
2025-08-14T22:19:17.9542026Z 
2025-08-14T22:19:17.9542164Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9542613Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9543161Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9543539Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9544102Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9544504Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9544890Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9545287Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9545738Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9546457Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9547120Z     return mod(**inputs)
2025-08-14T22:19:17.9547924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9548782Z     outputs = self.roberta(
2025-08-14T22:19:17.9549577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9550432Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9551273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9552161Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9552851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9553996Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9554875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9555860Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9556629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9557382Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9558182Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9558997Z     self_outputs = self.self(
2025-08-14T22:19:17.9559713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9560461Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9561327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9562319Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9562696Z 
2025-08-14T22:19:17.9562839Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9563229Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9563656Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9564367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9565014Z     return mod(**inputs)
2025-08-14T22:19:17.9565889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9566702Z     outputs = self.roberta(
2025-08-14T22:19:17.9567469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9568285Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9569108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9569911Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9570571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9571269Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9572071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9572899Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9573692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9574628Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9575510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9576502Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9577438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9578335Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9579089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9579780Z     return self.act(input)
2025-08-14T22:19:17.9579986Z 
2025-08-14T22:19:17.9580139Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9580520Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9580957Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9581348Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9581721Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9582180Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9582837Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9583386Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9583843Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9584579Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9585244Z     return mod(**inputs)
2025-08-14T22:19:17.9586044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9586954Z     outputs = self.roberta(
2025-08-14T22:19:17.9587786Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9588639Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9589552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9590448Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9591154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9591884Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9592745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9593627Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9594421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9595275Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9596075Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9596905Z     self_outputs = self.self(
2025-08-14T22:19:17.9597609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9598394Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9599190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9600130Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9600495Z 
2025-08-14T22:19:17.9600635Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9601027Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9601463Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9602157Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9602799Z     return mod(**inputs)
2025-08-14T22:19:17.9603689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9604506Z     outputs = self.roberta(
2025-08-14T22:19:17.9605257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9606063Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9606855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9607663Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9608316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9609015Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9609853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9610677Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9611468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9612250Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9613110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9614050Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9614944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9615823Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9616555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9617206Z     return self.act(input)
2025-08-14T22:19:17.9617418Z 
2025-08-14T22:19:17.9617589Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9618000Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9618365Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9618735Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9619106Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9619465Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9619839Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9620212Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9620635Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9621308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9621929Z     return mod(**inputs)
2025-08-14T22:19:17.9622781Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9623791Z     outputs = self.roberta(
2025-08-14T22:19:17.9624602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9625500Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9626337Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9627175Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9627876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9628617Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9629464Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9630345Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9631139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9631913Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9632725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9633584Z     self_outputs = self.self(
2025-08-14T22:19:17.9634320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9635199Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9635983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9636922Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9637286Z 
2025-08-14T22:19:17.9637473Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9637855Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9638293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9639094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9639721Z     return mod(**inputs)
2025-08-14T22:19:17.9640467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9641275Z     outputs = self.roberta(
2025-08-14T22:19:17.9642033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9642831Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9643620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9644609Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9650548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9651319Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9652194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9653054Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9654213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9655021Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9655912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9656900Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9657820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9658736Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9659573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9660260Z     return self.act(input)
2025-08-14T22:19:17.9660468Z 
2025-08-14T22:19:17.9660611Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9661011Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9661401Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9661773Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9662160Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9662646Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9663196Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9663595Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9664053Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9664791Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9665443Z     return mod(**inputs)
2025-08-14T22:19:17.9666254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9667109Z     outputs = self.roberta(
2025-08-14T22:19:17.9667904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9668758Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9669598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9670453Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9671201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9671944Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9672806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9673692Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9674577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9675419Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9676200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9676991Z     self_outputs = self.self(
2025-08-14T22:19:17.9677685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9678408Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9679183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9680133Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9680540Z 
2025-08-14T22:19:17.9680679Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9681061Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9681479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9682166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9682790Z     return mod(**inputs)
2025-08-14T22:19:17.9683552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9684353Z     outputs = self.roberta(
2025-08-14T22:19:17.9685305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9686233Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9687016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9687853Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9688515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9689214Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9690009Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9690839Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9691625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9692400Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9693245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9705953Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9706982Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9712863Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9713644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9714366Z     return self.act(input)
2025-08-14T22:19:17.9714583Z 
2025-08-14T22:19:17.9714732Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9715139Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9715538Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9716052Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9716513Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9716901Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9717289Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9717664Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9718113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9718827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9719457Z     return mod(**inputs)
2025-08-14T22:19:17.9720245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9721084Z     outputs = self.roberta(
2025-08-14T22:19:17.9721869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9722692Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9723516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9724341Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9725057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9725823Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9726658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 540, in forward
2025-08-14T22:19:17.9727509Z     self_attention_outputs = self.attention(
2025-08-14T22:19:17.9728268Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9729027Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9729829Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 467, in forward
2025-08-14T22:19:17.9730656Z     self_outputs = self.self(
2025-08-14T22:19:17.9731361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-08-14T22:19:17.9732114Z     return func(*args, **kwargs)
2025-08-14T22:19:17.9732947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 389, in forward
2025-08-14T22:19:17.9733879Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:19:17.9734258Z 
2025-08-14T22:19:17.9734400Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9734787Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9735227Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9736020Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9736641Z     return mod(**inputs)
2025-08-14T22:19:17.9737402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1094, in forward
2025-08-14T22:19:17.9738199Z     outputs = self.roberta(
2025-08-14T22:19:17.9738965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 881, in forward
2025-08-14T22:19:17.9739779Z     encoder_outputs = self.encoder(
2025-08-14T22:19:17.9740572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 632, in forward
2025-08-14T22:19:17.9741369Z     layer_outputs = layer_module(
2025-08-14T22:19:17.9742034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:19:17.9742833Z     return super().__call__(*args, **kwargs)
2025-08-14T22:19:17.9743819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 570, in forward
2025-08-14T22:19:17.9744906Z     layer_output = apply_chunking_to_forward(
2025-08-14T22:19:17.9745744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/pytorch_utils.py", line 251, in apply_chunking_to_forward
2025-08-14T22:19:17.9746574Z     return forward_fn(*input_tensors)
2025-08-14T22:19:17.9747470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 578, in feed_forward_chunk
2025-08-14T22:19:17.9748480Z     intermediate_output = self.intermediate(attention_output)
2025-08-14T22:19:17.9749433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 494, in forward
2025-08-14T22:19:17.9750364Z     hidden_states = self.intermediate_act_fn(hidden_states)
2025-08-14T22:19:17.9751136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:19:17.9751841Z     return self.act(input)
2025-08-14T22:19:17.9752051Z 
2025-08-14T22:19:17.9752213Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9752603Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9753041Z cudagraph partition due to non gpu ops
2025-08-14T22:19:17.9753980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:19:17.9754719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:19:17.9755370Z     return mod(**inputs)
2025-08-14T22:19:17.9756299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1108, in forward
2025-08-14T22:19:17.9757193Z     prediction_scores = self.lm_head(sequence_output)
2025-08-14T22:19:17.9758065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/xlm_roberta/modeling_xlm_roberta.py", line 1148, in forward
2025-08-14T22:19:17.9758887Z     x = self.decoder(x)
2025-08-14T22:19:17.9759086Z 
2025-08-14T22:19:30.1404213Z Compilation time (from dynamo_timed): 21.822639895
2025-08-14T22:19:30.4738973Z pass
2025-08-14T22:19:30.4739646Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:30.4741319Z TIMING: _recursive_pre_grad_passes:0.05062 _recursive_joint_graph_passes:0.60241 _recursive_post_grad_passes:0.10741 async_compile.wait:0.88586 code_gen:7.41589 inductor_compile:11.0112 backend_compile:17.77788 gc:0.00034 entire_frame_compile:21.82264 total_wall_time:21.82264
2025-08-14T22:19:30.4743734Z STATS: call_* op count: 293 | FakeTensorMode.__torch_dispatch__:23980 | FakeTensor.__torch_dispatch__:3811 | ProxyTorchDispatchMode.__torch_dispatch__:5284
2025-08-14T22:19:30.4744941Z Dynamo produced 1 graphs covering 293 ops with 0 graph breaks (0 unique)
2025-08-14T22:19:35.8594991Z 
2025-08-14T22:19:36.9054883Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:19:36.9055202Z 
2025-08-14T22:19:36.9123843Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-14T22:19:36.9124347Z config.json: 100% 1.21k/1.21k [00:00<00:00, 171kB/s]
2025-08-14T22:19:39.7457252Z 
2025-08-14T22:19:39.7457717Z loading model: 0it [00:03, ?it/s]
2025-08-14T22:19:39.7473899Z cpu  eval  hf_T5                              
2025-08-14T22:19:41.3559806Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:42.1584042Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:19:42.9004448Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:20:00.5821493Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5822276Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5823025Z     return mod(**inputs)
2025-08-14T22:20:00.5823738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.5824927Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.5825709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5826672Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5827445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5828194Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5828966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5829750Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5830506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5831285Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5832057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-14T22:20:00.5832846Z     position_bias = position_bias + causal_mask
2025-08-14T22:20:00.5833135Z 
2025-08-14T22:20:00.5833442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5834233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5834901Z     return mod(**inputs)
2025-08-14T22:20:00.5835643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5837030Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5837887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5838719Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5839389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5840121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5840958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5841943Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5842888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5843652Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5844409Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.5845151Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.5845425Z 
2025-08-14T22:20:00.5845617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5846324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5846969Z     return mod(**inputs)
2025-08-14T22:20:00.5847648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5848557Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5849291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5850028Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5850716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5851442Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5852189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5852934Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5854136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5855113Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5856213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.5857331Z     key_states = self.k(current_states)
2025-08-14T22:20:00.5857828Z 
2025-08-14T22:20:00.5858143Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5859451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5860587Z     return mod(**inputs)
2025-08-14T22:20:00.5861684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5863373Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5864725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5866152Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5867425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5868775Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5870329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5871926Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5873307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5874811Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5876172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.5877582Z     value_states = self.v(current_states)
2025-08-14T22:20:00.5877982Z 
2025-08-14T22:20:00.5878221Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.5878923Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.5879708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5880927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5881766Z     return mod(**inputs)
2025-08-14T22:20:00.5883102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5884478Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5885221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5885975Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5886651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5887379Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5888122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5889018Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5889927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5890686Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5891435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.5892166Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.5892425Z 
2025-08-14T22:20:00.5892618Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5893319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5893957Z     return mod(**inputs)
2025-08-14T22:20:00.5894629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5895380Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5896158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5896894Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5897579Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5898298Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5899038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.5899797Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.5900564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.5901389Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.5902199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.5903206Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.5903504Z 
2025-08-14T22:20:00.5903747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5904508Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5905156Z     return mod(**inputs)
2025-08-14T22:20:00.5905871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5906648Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5907390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5908163Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5908863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5909604Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5910356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.5911151Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.5911976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.5912827Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.5913655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.5914541Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.5914804Z 
2025-08-14T22:20:00.5915005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5915694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5916332Z     return mod(**inputs)
2025-08-14T22:20:00.5917023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5917769Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5918481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5919227Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5919907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5920610Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5921351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.5922120Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.5922886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.5923732Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.5924555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.5925308Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.5925571Z 
2025-08-14T22:20:00.5925772Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5926460Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5927096Z     return mod(**inputs)
2025-08-14T22:20:00.5927783Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5928518Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5929245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5929990Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5930670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5931377Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5932154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5932963Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5933695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5934457Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5935205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.5935951Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.5936203Z 
2025-08-14T22:20:00.5936392Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5937100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5937740Z     return mod(**inputs)
2025-08-14T22:20:00.5938429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5939200Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5939928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5940670Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5941342Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5942063Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5942889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5943848Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5944624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5945405Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5946168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.5946943Z     key_states = self.k(current_states)
2025-08-14T22:20:00.5947199Z 
2025-08-14T22:20:00.5947408Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5948120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5948784Z     return mod(**inputs)
2025-08-14T22:20:00.5949491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5950266Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5951042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5957183Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5957886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5958613Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5959349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5960108Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5960860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5961610Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5962365Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.5963117Z     value_states = self.v(current_states)
2025-08-14T22:20:00.5963373Z 
2025-08-14T22:20:00.5963535Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.5963915Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.5964451Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5965207Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5965836Z     return mod(**inputs)
2025-08-14T22:20:00.5966524Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5967274Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5968001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5968830Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5969491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5970191Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5970904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.5971635Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.5972408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.5973242Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.5973915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.5974792Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.5975030Z 
2025-08-14T22:20:00.5975230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5975902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5976525Z     return mod(**inputs)
2025-08-14T22:20:00.5977190Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5977916Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5978612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5979334Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5979996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5980677Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5981399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.5982150Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.5983159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.5984062Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.5984915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.5985698Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.5985969Z 
2025-08-14T22:20:00.5986179Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5986890Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5987550Z     return mod(**inputs)
2025-08-14T22:20:00.5988261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.5989022Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.5989770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.5990537Z     layer_outputs = layer_module(
2025-08-14T22:20:00.5991241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.5991972Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.5992773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.5993605Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.5994492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.5995424Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.5996220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.5996954Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.5997209Z 
2025-08-14T22:20:00.5997395Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.5998078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.5998695Z     return mod(**inputs)
2025-08-14T22:20:00.5999359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6000106Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6000811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6001529Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6002175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6002870Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6003594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6004340Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6005076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6005874Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6006669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6007404Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6007656Z 
2025-08-14T22:20:00.6007844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6008529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6009151Z     return mod(**inputs)
2025-08-14T22:20:00.6009802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6010527Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6011261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6011979Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6012631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6013335Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6020296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6022258Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6024033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6024823Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6025598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6026356Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6026634Z 
2025-08-14T22:20:00.6026835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6027631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6028314Z     return mod(**inputs)
2025-08-14T22:20:00.6029031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6029807Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6030562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6031315Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6032023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6032770Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6033525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6034412Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6035261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6036032Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6036749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6037475Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6037731Z 
2025-08-14T22:20:00.6037917Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6038603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6039213Z     return mod(**inputs)
2025-08-14T22:20:00.6039883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6040618Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6041317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6042040Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6042706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6043403Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6044111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6044842Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6045565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6046283Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6047207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6047955Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6048212Z 
2025-08-14T22:20:00.6048366Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6048745Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6049188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6049891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6050518Z     return mod(**inputs)
2025-08-14T22:20:00.6051209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6051957Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6052682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6053791Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6054482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6055208Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6056033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6056842Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6057594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6058353Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6059094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6059840Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6060086Z 
2025-08-14T22:20:00.6060295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6061010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6061633Z     return mod(**inputs)
2025-08-14T22:20:00.6062316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6064786Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6065527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6066297Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6067000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6067741Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6068493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6069290Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6070084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6070923Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6071767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6072548Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6072815Z 
2025-08-14T22:20:00.6073026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6073738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6074500Z     return mod(**inputs)
2025-08-14T22:20:00.6075288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6076018Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6077163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6077984Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6078673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6079385Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6080125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6080898Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6081665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6082473Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6083290Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6084047Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6084309Z 
2025-08-14T22:20:00.6084518Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6085213Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6085894Z     return mod(**inputs)
2025-08-14T22:20:00.6086621Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6087358Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6088086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6088829Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6089509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6090218Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6090964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6091729Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6092481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6093336Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6094153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6094916Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6095174Z 
2025-08-14T22:20:00.6095364Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6096284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6096876Z     return mod(**inputs)
2025-08-14T22:20:00.6097491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6098185Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6098857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6099540Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6100157Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6100819Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6101510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6102209Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6103116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6103885Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6104864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6105623Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6105901Z 
2025-08-14T22:20:00.6106104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6106839Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6107503Z     return mod(**inputs)
2025-08-14T22:20:00.6108197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6108976Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6109733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6110491Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6111193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6111934Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6112701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6113497Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6114300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6115171Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6115885Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6116694Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6116933Z 
2025-08-14T22:20:00.6117106Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6117752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6118326Z     return mod(**inputs)
2025-08-14T22:20:00.6118954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6119643Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6120315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6121015Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6121639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6122297Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6122964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6123656Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6124340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6125037Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6125711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6126395Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6126637Z 
2025-08-14T22:20:00.6126781Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6127127Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6127533Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6128183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6128769Z     return mod(**inputs)
2025-08-14T22:20:00.6129389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6130078Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6130747Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6131445Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6132074Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6132737Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6133419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6134106Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6134788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6135482Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6136155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6136836Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6137074Z 
2025-08-14T22:20:00.6137250Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6137893Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6138494Z     return mod(**inputs)
2025-08-14T22:20:00.6139830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6140590Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6141320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6142054Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6142818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6143731Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6144485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6145264Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6146039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:20:00.6146922Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:20:00.6147345Z 
2025-08-14T22:20:00.6147541Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6148264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6148918Z     return mod(**inputs)
2025-08-14T22:20:00.6149610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6150380Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6151132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6151896Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6152586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6153708Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6154489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6155391Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6156145Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6156968Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6157787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6158528Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6158801Z 
2025-08-14T22:20:00.6158990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6159776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6160422Z     return mod(**inputs)
2025-08-14T22:20:00.6161098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6161859Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6162591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6163323Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6164011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6164730Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6165598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6166300Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6167013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6167812Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6168606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6169289Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6169544Z 
2025-08-14T22:20:00.6169721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6170375Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6170954Z     return mod(**inputs)
2025-08-14T22:20:00.6171583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6172281Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6172956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6173624Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6174428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6175179Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6175890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6176641Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6177387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6178188Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6178968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6179696Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6179946Z 
2025-08-14T22:20:00.6180140Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6180828Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6181441Z     return mod(**inputs)
2025-08-14T22:20:00.6182105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6182913Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6183794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6184721Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6185422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6186165Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6186958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6187739Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6188509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6189284Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6190053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6190817Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6191077Z 
2025-08-14T22:20:00.6191284Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6191994Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6192649Z     return mod(**inputs)
2025-08-14T22:20:00.6193355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6194230Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6194989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6195764Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6196447Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6197151Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6198000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6198742Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6199471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6200195Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6221710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6222669Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6222920Z 
2025-08-14T22:20:00.6223294Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6224272Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6224938Z     return mod(**inputs)
2025-08-14T22:20:00.6225650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6226433Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6227189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6227946Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6228656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6229402Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6230172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6230944Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6231714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6232494Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6233252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6234025Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6234301Z 
2025-08-14T22:20:00.6234447Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6234954Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6235484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6236307Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6236898Z     return mod(**inputs)
2025-08-14T22:20:00.6237523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6238215Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6238888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6239572Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6240189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6240853Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6241541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6242235Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6242914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6243650Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6244403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6245077Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6245314Z 
2025-08-14T22:20:00.6245489Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6246139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6246727Z     return mod(**inputs)
2025-08-14T22:20:00.6247345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6248030Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6248701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6249370Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6250000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6250715Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6251402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6252098Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6252803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6254215Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6255032Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6255799Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6256071Z 
2025-08-14T22:20:00.6256262Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6256969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6257601Z     return mod(**inputs)
2025-08-14T22:20:00.6258287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6259037Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6259766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6260494Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6261173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6261896Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6262800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6268557Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6269428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6270286Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6271117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6271894Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6272165Z 
2025-08-14T22:20:00.6272369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6273095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6273736Z     return mod(**inputs)
2025-08-14T22:20:00.6274448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6275329Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6276116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6276935Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6277613Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6278332Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6279058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6279826Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6280588Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6281398Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6282215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6282967Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6283333Z 
2025-08-14T22:20:00.6283580Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6284250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6284868Z     return mod(**inputs)
2025-08-14T22:20:00.6285655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6286333Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6287001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6287886Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6288546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6289233Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6289958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6290695Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6291425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6292146Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6292868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6293593Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6293837Z 
2025-08-14T22:20:00.6294025Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6294710Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6295362Z     return mod(**inputs)
2025-08-14T22:20:00.6296031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6296744Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6297458Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6298175Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6298819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6299617Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6300300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6300987Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6301660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6302353Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6303354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6304147Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6304417Z 
2025-08-14T22:20:00.6304613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6305334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6305992Z     return mod(**inputs)
2025-08-14T22:20:00.6306682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6307449Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6308189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6308950Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6309632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6310375Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6311176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6311942Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6312709Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6313487Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6314263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6315115Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6315490Z 
2025-08-14T22:20:00.6315619Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6315982Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6316374Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6317024Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6317807Z     return mod(**inputs)
2025-08-14T22:20:00.6318475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6319185Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6319883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6320599Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6321244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6321944Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6322689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6323418Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6324133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6324875Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6325599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6326620Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6326959Z 
2025-08-14T22:20:00.6327151Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6327860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6328501Z     return mod(**inputs)
2025-08-14T22:20:00.6329172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6329926Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6330693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6331470Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6332136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6332858Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6333601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6334341Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6335087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6335847Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6336594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6337327Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6337590Z 
2025-08-14T22:20:00.6337783Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6338520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6339145Z     return mod(**inputs)
2025-08-14T22:20:00.6339830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6340578Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6341304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6342045Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6342784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6343695Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6344461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6345229Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6346003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6346790Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6347562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6348317Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6348593Z 
2025-08-14T22:20:00.6348740Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6349138Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6349835Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6350578Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6351232Z     return mod(**inputs)
2025-08-14T22:20:00.6351930Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6352685Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6353850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6354620Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6355422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6356118Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6356850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6357594Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6358324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6359070Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6359884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6360676Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6360917Z 
2025-08-14T22:20:00.6361104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6361795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6362423Z     return mod(**inputs)
2025-08-14T22:20:00.6363088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6363824Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6364541Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6365267Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6365999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6366690Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6367358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6368032Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6368701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6369392Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6370067Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6370735Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6370972Z 
2025-08-14T22:20:00.6371141Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6371771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6372347Z     return mod(**inputs)
2025-08-14T22:20:00.6372962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6373638Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6374466Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6375169Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6375814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6376500Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6377205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6377954Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6378672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6379396Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6380103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6380801Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6381040Z 
2025-08-14T22:20:00.6381217Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6381891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6382486Z     return mod(**inputs)
2025-08-14T22:20:00.6383394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6384313Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6385059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6385836Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6386562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6387289Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6388028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6388914Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6389742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:20:00.6390607Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:20:00.6390984Z 
2025-08-14T22:20:00.6391173Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6391892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6392537Z     return mod(**inputs)
2025-08-14T22:20:00.6393216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6394019Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6394752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6395497Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6396282Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6396989Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6397725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6398481Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6399216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6400030Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6400836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6401560Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6401822Z 
2025-08-14T22:20:00.6402007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6402695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6403315Z     return mod(**inputs)
2025-08-14T22:20:00.6403975Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6404708Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6405446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6406163Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6406827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6407534Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6408367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6409208Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6409889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6410625Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6411358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6412026Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6412269Z 
2025-08-14T22:20:00.6412436Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6413090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6413685Z     return mod(**inputs)
2025-08-14T22:20:00.6414304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:20:00.6414981Z     encoder_outputs = self.encoder(
2025-08-14T22:20:00.6415633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6416294Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6416905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6417556Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6418221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6418922Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6419614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6421083Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6421886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6422714Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6423143Z 
2025-08-14T22:20:00.6423346Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6424062Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6424698Z     return mod(**inputs)
2025-08-14T22:20:00.6425401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6426161Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6426891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6427736Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6428788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6429721Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6430544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6431310Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6432073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6432837Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6433655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6434422Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6434683Z 
2025-08-14T22:20:00.6435003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6435687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6436312Z     return mod(**inputs)
2025-08-14T22:20:00.6436985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6437725Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6438431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6439163Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6439838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6440545Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6441309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6442092Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6442832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6443575Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6444319Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6445057Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6445309Z 
2025-08-14T22:20:00.6445449Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6445829Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6446257Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6446952Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6447572Z     return mod(**inputs)
2025-08-14T22:20:00.6448252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6449032Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6449742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6450478Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6456527Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6457486Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6458214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6458971Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6459712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6460464Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6461213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6461947Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6462190Z 
2025-08-14T22:20:00.6462386Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6463357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6464007Z     return mod(**inputs)
2025-08-14T22:20:00.6464717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6465472Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6466308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6467064Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6467762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6468490Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6469244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6470024Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6470806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6471638Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6472471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6473246Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6473508Z 
2025-08-14T22:20:00.6473702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6474581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6475259Z     return mod(**inputs)
2025-08-14T22:20:00.6475935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6476663Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6477386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6478120Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6478794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6479504Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6480229Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6480989Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6481749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6482602Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6483412Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6484156Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6484416Z 
2025-08-14T22:20:00.6484616Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6485305Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6486031Z     return mod(**inputs)
2025-08-14T22:20:00.6486688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6487395Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6488089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6488800Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6489451Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6490127Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6490835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6491574Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6492306Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6493120Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6493905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6494622Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6494873Z 
2025-08-14T22:20:00.6495055Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6495720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6496326Z     return mod(**inputs)
2025-08-14T22:20:00.6496974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6497677Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6498368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6499074Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6499717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6500405Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6501151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6501908Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6502691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6503597Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6504511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6505268Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6505524Z 
2025-08-14T22:20:00.6505715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6506427Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6507071Z     return mod(**inputs)
2025-08-14T22:20:00.6507761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6508559Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6509297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6510050Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6510732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6511460Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6512213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6512973Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6519021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6520779Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6521528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6522262Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6522519Z 
2025-08-14T22:20:00.6522708Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6523404Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6524026Z     return mod(**inputs)
2025-08-14T22:20:00.6524700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6525439Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6526151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6526923Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6527596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6528307Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6529042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6529781Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6530514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6531354Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6532058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6532857Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6533092Z 
2025-08-14T22:20:00.6533219Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6533574Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6533961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6534625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6535224Z     return mod(**inputs)
2025-08-14T22:20:00.6535837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6536509Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6537166Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6537836Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6538441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6539090Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6539928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6540644Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6541360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6542116Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6542908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6543800Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6544045Z 
2025-08-14T22:20:00.6544409Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6545117Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6545753Z     return mod(**inputs)
2025-08-14T22:20:00.6546450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6547209Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6547945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6548698Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6549383Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6550111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6550867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6551625Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6552385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6553540Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6554404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6555171Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6555445Z 
2025-08-14T22:20:00.6555644Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6556472Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6557092Z     return mod(**inputs)
2025-08-14T22:20:00.6557768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6558513Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6559226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6559956Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6560628Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6561337Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6562106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6562893Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6563641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6564388Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6565136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6565970Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6566213Z 
2025-08-14T22:20:00.6566399Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6567066Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6567681Z     return mod(**inputs)
2025-08-14T22:20:00.6568334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6569052Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6569787Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6570495Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6571139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6571818Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6572525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6573248Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6573959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6574681Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6575410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6576410Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6576671Z 
2025-08-14T22:20:00.6576878Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6577270Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6577694Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6578384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6579005Z     return mod(**inputs)
2025-08-14T22:20:00.6579683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6580423Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6581189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6581926Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6582680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6583587Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6584343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6585121Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6585887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6586655Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6587425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6588177Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6588427Z 
2025-08-14T22:20:00.6588631Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6589377Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6590065Z     return mod(**inputs)
2025-08-14T22:20:00.6590771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6591543Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6592276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6593040Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6593742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6594570Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6595419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6596167Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6597025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6597798Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6598549Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6599235Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6599471Z 
2025-08-14T22:20:00.6599646Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6600290Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6600877Z     return mod(**inputs)
2025-08-14T22:20:00.6601504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6602345Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6603053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6603777Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6604425Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6605124Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6605844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6606594Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6607325Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6608125Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6608951Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6609688Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6609946Z 
2025-08-14T22:20:00.6610131Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6610815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6611436Z     return mod(**inputs)
2025-08-14T22:20:00.6612089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6612818Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6613523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6614245Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6614891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6615694Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6616399Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6617122Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6617819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6618574Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6619321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6619997Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6620247Z 
2025-08-14T22:20:00.6620420Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6621064Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6621650Z     return mod(**inputs)
2025-08-14T22:20:00.6622265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6622393Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6623115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6623250Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6623741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6623885Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6624394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6624540Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6625040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6625199Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6625698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6625841Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6625870Z 
2025-08-14T22:20:00.6626062Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6626464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6626590Z     return mod(**inputs)
2025-08-14T22:20:00.6627090Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6627223Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6627734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6627896Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6628379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6628521Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6629024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6629181Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6629676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6629823Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6630334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6630467Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6630482Z 
2025-08-14T22:20:00.6630689Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6631094Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6631206Z     return mod(**inputs)
2025-08-14T22:20:00.6631748Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6631906Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6632404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6632541Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6633005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6633153Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6633653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6633796Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6634309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6634458Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6635096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6635225Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6635240Z 
2025-08-14T22:20:00.6635373Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6635514Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6635814Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6636169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6636285Z     return mod(**inputs)
2025-08-14T22:20:00.6636731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6636861Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6637308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6637427Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6637850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6637975Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6638413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6638842Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6639539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6639688Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6640208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6640340Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6640355Z 
2025-08-14T22:20:00.6640552Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6640948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6641061Z     return mod(**inputs)
2025-08-14T22:20:00.6641560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6641689Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6642183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6642305Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6642759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6642911Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6643394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6643573Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6644087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:20:00.6644326Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:20:00.6644341Z 
2025-08-14T22:20:00.6644540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6644932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6645048Z     return mod(**inputs)
2025-08-14T22:20:00.6645546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6645675Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6646172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6646298Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6646794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6646941Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6647424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6647578Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6648059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6648208Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6648701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6648837Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6648852Z 
2025-08-14T22:20:00.6649042Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6649444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6649558Z     return mod(**inputs)
2025-08-14T22:20:00.6650061Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6650184Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6650670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6650805Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6651250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6651387Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6651912Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6652057Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6652555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6652709Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6653550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6653705Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6653722Z 
2025-08-14T22:20:00.6653914Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6654318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6654435Z     return mod(**inputs)
2025-08-14T22:20:00.6654924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6655063Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6655654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6655817Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6656281Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6656422Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6656916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6657059Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6657540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6657707Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6658194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6658331Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6658361Z 
2025-08-14T22:20:00.6658539Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6658675Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6658873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6659264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6659378Z     return mod(**inputs)
2025-08-14T22:20:00.6659879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6660005Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6660489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6660622Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6661073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6661221Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6661708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6661850Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6662334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6662482Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6663262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6663398Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6663413Z 
2025-08-14T22:20:00.6663609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6664073Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6664193Z     return mod(**inputs)
2025-08-14T22:20:00.6664701Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6664845Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6665349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6665486Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6665949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6666091Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6666598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6666761Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6667262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6667522Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6668049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6668200Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6668216Z 
2025-08-14T22:20:00.6668407Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6668810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6668935Z     return mod(**inputs)
2025-08-14T22:20:00.6669436Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6669577Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6670078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6670202Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6670678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6670851Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6671351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6671523Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6672023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6672250Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6672745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6672889Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6672905Z 
2025-08-14T22:20:00.6673110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6673513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6673641Z     return mod(**inputs)
2025-08-14T22:20:00.6674146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6674383Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6674977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6675097Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6675533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6675676Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6676171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6676340Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6676813Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6677015Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6677496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6677633Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6677647Z 
2025-08-14T22:20:00.6677837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6678217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6678328Z     return mod(**inputs)
2025-08-14T22:20:00.6678810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6678940Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6679441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6679601Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6680039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6680180Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6680649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6680786Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6681261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6681403Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6681873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6682012Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6682056Z 
2025-08-14T22:20:00.6682243Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6682633Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6682743Z     return mod(**inputs)
2025-08-14T22:20:00.6683216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6683350Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6683822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6683944Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6684392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6684525Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6685004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6685145Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6685735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6685884Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6686326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6686458Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6686472Z 
2025-08-14T22:20:00.6686641Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6686995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6687132Z     return mod(**inputs)
2025-08-14T22:20:00.6687583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6687701Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6688156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6688268Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6688690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6688812Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6689252Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6689387Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6689828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6689957Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6690434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6690594Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6690608Z 
2025-08-14T22:20:00.6690746Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6690869Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6691040Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6691407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6691511Z     return mod(**inputs)
2025-08-14T22:20:00.6691971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6692092Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6692536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6692665Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6693082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6693231Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6693687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6693815Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6694262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6694394Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6694834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6694965Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6694979Z 
2025-08-14T22:20:00.6695153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6695512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6695630Z     return mod(**inputs)
2025-08-14T22:20:00.6696078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6696202Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6696648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6696761Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6697180Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6697305Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6697784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6697917Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6698361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6698504Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6698945Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6699066Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6699080Z 
2025-08-14T22:20:00.6699261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6699621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6699736Z     return mod(**inputs)
2025-08-14T22:20:00.6700184Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6700303Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6700784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6700925Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6706655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6706817Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6707324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6707486Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6707987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6708143Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6708655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6708791Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6708806Z 
2025-08-14T22:20:00.6709015Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6709465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6709584Z     return mod(**inputs)
2025-08-14T22:20:00.6710093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6710224Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6710724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6710861Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6711323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6711478Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6711977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6712128Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6712635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6712788Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6713284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6713435Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6713450Z 
2025-08-14T22:20:00.6713590Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6713744Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6713935Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6714480Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6714608Z     return mod(**inputs)
2025-08-14T22:20:00.6715096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6715232Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6715734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6715854Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6716316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6716449Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6716926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6717080Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6717561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6717751Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6718264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6718392Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6718407Z 
2025-08-14T22:20:00.6718609Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6719000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6719110Z     return mod(**inputs)
2025-08-14T22:20:00.6719830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6719948Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6720401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6720515Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6720929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6721094Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6721536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6721664Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6722115Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:20:00.6722333Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:20:00.6722347Z 
2025-08-14T22:20:00.6722528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6722888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6734163Z     return mod(**inputs)
2025-08-14T22:20:00.6734737Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6734877Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6735341Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6735460Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6735890Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6736020Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6736467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6736612Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6737150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6737347Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6737807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6737939Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6737954Z 
2025-08-14T22:20:00.6738132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6738504Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6738612Z     return mod(**inputs)
2025-08-14T22:20:00.6739060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6739190Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6739637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6739762Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6740210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6740370Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6740819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6740962Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6741401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6741604Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6742048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6742187Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6742202Z 
2025-08-14T22:20:00.6742378Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6742856Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6743145Z     return mod(**inputs)
2025-08-14T22:20:00.6743673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6743813Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6744478Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6744605Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6745082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6745224Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6745723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6745894Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6746393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6746621Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6747116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6747258Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6747273Z 
2025-08-14T22:20:00.6747479Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6747882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6748009Z     return mod(**inputs)
2025-08-14T22:20:00.6748510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6748672Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6749187Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6749315Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6749784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6749933Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6750429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6750584Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6751080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6751224Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6751732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6751865Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6751880Z 
2025-08-14T22:20:00.6752115Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6752556Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6752674Z     return mod(**inputs)
2025-08-14T22:20:00.6753629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6753775Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6754279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6754412Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6754875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6755027Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6755529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6755675Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6756370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6756514Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6756993Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6757130Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6757146Z 
2025-08-14T22:20:00.6757335Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6757733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6757846Z     return mod(**inputs)
2025-08-14T22:20:00.6758334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6758473Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6758962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6759090Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6759550Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6759686Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6760175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6760314Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6760795Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6760990Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6761474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6761618Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6761638Z 
2025-08-14T22:20:00.6761776Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6761910Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6762104Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6762495Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6762606Z     return mod(**inputs)
2025-08-14T22:20:00.6763104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6763233Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6768876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6769350Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6770695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6771166Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6772445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6772866Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6773359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6773502Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6773994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6774124Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6774139Z 
2025-08-14T22:20:00.6774331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6774733Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6774847Z     return mod(**inputs)
2025-08-14T22:20:00.6775370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6775509Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6775995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6776126Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6776575Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6776709Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6777201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6777345Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6777842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6777992Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6778468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6778608Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6778623Z 
2025-08-14T22:20:00.6778811Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6779199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6779325Z     return mod(**inputs)
2025-08-14T22:20:00.6779810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6779948Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6780461Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6780587Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6781051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6781187Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6781669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6781823Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6782302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6782458Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6783017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6783148Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6783163Z 
2025-08-14T22:20:00.6783362Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6783795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6784119Z     return mod(**inputs)
2025-08-14T22:20:00.6784623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6784752Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6785262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6785388Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6785852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6786000Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6786500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6786656Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6787153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6787340Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6787844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6787980Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6787995Z 
2025-08-14T22:20:00.6788149Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6788289Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6788484Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6788896Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6789015Z     return mod(**inputs)
2025-08-14T22:20:00.6789517Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6789662Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6790165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6790302Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6790767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6790906Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6791414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6791561Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6792088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6792253Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6792751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6792900Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6792915Z 
2025-08-14T22:20:00.6793108Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6793509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6793634Z     return mod(**inputs)
2025-08-14T22:20:00.6794243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6794371Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6794972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6795097Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6795544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6795704Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6796297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6796456Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6796897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6797102Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6797542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6797666Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6797679Z 
2025-08-14T22:20:00.6797864Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6798222Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6798327Z     return mod(**inputs)
2025-08-14T22:20:00.6798791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6798937Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6799394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6799506Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6799914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6800050Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6800491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6800635Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6801089Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6801282Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6801739Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6801864Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6801878Z 
2025-08-14T22:20:00.6802048Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6802412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6802516Z     return mod(**inputs)
2025-08-14T22:20:00.6802973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6803093Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6803574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6803701Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6804113Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6804241Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6804689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6804828Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6805274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6805464Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6805908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6806044Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6806058Z 
2025-08-14T22:20:00.6806228Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6806623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6806753Z     return mod(**inputs)
2025-08-14T22:20:00.6807200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6807328Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6807771Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6807883Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6808308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6808432Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6808880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6809024Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6809494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-14T22:20:00.6809710Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-14T22:20:00.6809724Z 
2025-08-14T22:20:00.6809894Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6810262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6810365Z     return mod(**inputs)
2025-08-14T22:20:00.6810811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6810943Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6811390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6811502Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6811926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6812056Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6812506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6812634Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6813076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6813221Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6813662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6813810Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6813824Z 
2025-08-14T22:20:00.6814007Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6814370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6814652Z     return mod(**inputs)
2025-08-14T22:20:00.6815127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6815254Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6815733Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6815850Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6816288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6816437Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6816908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6817054Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6817551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6817717Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6818194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6818321Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6818335Z 
2025-08-14T22:20:00.6818528Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6818908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6819016Z     return mod(**inputs)
2025-08-14T22:20:00.6819669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6819799Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6820287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6820451Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6820900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6821043Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6821526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6821665Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6822158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6822306Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6822872Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6823020Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6823035Z 
2025-08-14T22:20:00.6823178Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6823330Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6823522Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6824112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6824239Z     return mod(**inputs)
2025-08-14T22:20:00.6824744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6824888Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6825389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6825517Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6826029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6826306Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6826879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:20:00.6827040Z     self_attention_outputs = self.layer[0](
2025-08-14T22:20:00.6827538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:20:00.6827695Z     attention_output = self.SelfAttention(
2025-08-14T22:20:00.6828193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6828330Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6828346Z 
2025-08-14T22:20:00.6828553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6828962Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6829079Z     return mod(**inputs)
2025-08-14T22:20:00.6829634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6829797Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6830308Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6830433Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6830897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6831047Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6831544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6831703Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6832199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6832352Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6832865Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:20:00.6833034Z     query_states = self.q(hidden_states)
2025-08-14T22:20:00.6833050Z 
2025-08-14T22:20:00.6833248Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6833662Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6833780Z     return mod(**inputs)
2025-08-14T22:20:00.6834296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6834428Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6834929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6835064Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6835534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6835679Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6836295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6836437Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6836928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6837075Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6837555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:20:00.6837701Z     key_states = self.k(current_states)
2025-08-14T22:20:00.6837716Z 
2025-08-14T22:20:00.6837937Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6838331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6838454Z     return mod(**inputs)
2025-08-14T22:20:00.6838946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6839075Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6839567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6839691Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6840149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6840282Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6840765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6840918Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6841428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6841608Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6842099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:20:00.6842230Z     value_states = self.v(current_states)
2025-08-14T22:20:00.6842246Z 
2025-08-14T22:20:00.6842393Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6842528Z cudagraph partition due to non gpu ops
2025-08-14T22:20:00.6842715Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6843116Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6843229Z     return mod(**inputs)
2025-08-14T22:20:00.6843732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6843855Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6844339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6844510Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6844956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6845091Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6845585Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:20:00.6845725Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:20:00.6846216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:20:00.6846364Z     attention_output = self.EncDecAttention(
2025-08-14T22:20:00.6846843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:20:00.6846985Z     attn_output = self.o(attn_output)
2025-08-14T22:20:00.6847004Z 
2025-08-14T22:20:00.6847188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6847574Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6847698Z     return mod(**inputs)
2025-08-14T22:20:00.6848183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6848319Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6848804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6848921Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6849408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6849545Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6850039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6850198Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6850679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6850897Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6851379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:20:00.6851515Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:20:00.6851530Z 
2025-08-14T22:20:00.6851726Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6852145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6852264Z     return mod(**inputs)
2025-08-14T22:20:00.6852780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6852937Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6853814Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6853947Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6854402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6854549Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6855036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6855201Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6855690Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6855902Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6856397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:20:00.6856611Z     hidden_states = self.act(hidden_states)
2025-08-14T22:20:00.6856626Z 
2025-08-14T22:20:00.6856822Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6857212Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6857324Z     return mod(**inputs)
2025-08-14T22:20:00.6857823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:20:00.6857951Z     decoder_outputs = self.decoder(
2025-08-14T22:20:00.6858441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:20:00.6858572Z     layer_outputs = layer_module(
2025-08-14T22:20:00.6859025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:20:00.6859171Z     return super().__call__(*args, **kwargs)
2025-08-14T22:20:00.6859652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:20:00.6859806Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:20:00.6860295Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:20:00.6860501Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:20:00.6860994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:20:00.6861130Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:20:00.6861145Z 
2025-08-14T22:20:00.6862735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:20:00.6863352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:20:00.6863477Z     return mod(**inputs)
2025-08-14T22:20:00.6863987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-14T22:20:00.6864152Z     lm_logits = self.lm_head(sequence_output)
2025-08-14T22:20:00.6864168Z 
2025-08-14T22:20:08.2150021Z Compilation time (from dynamo_timed): 23.066632294
2025-08-14T22:20:08.2401481Z pass
2025-08-14T22:20:08.2402074Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:20:08.2403861Z TIMING: _recursive_pre_grad_passes:0.08923 _recursive_joint_graph_passes:0.94272 _recursive_post_grad_passes:0.10374 async_compile.wait:0.69024 code_gen:6.13843 inductor_compile:10.10506 backend_compile:18.76292 gc:0.00035 entire_frame_compile:23.06663 total_wall_time:23.06663
2025-08-14T22:20:08.2405931Z STATS: call_* op count: 806 | FakeTensorMode.__torch_dispatch__:30446 | FakeTensor.__torch_dispatch__:3865 | ProxyTorchDispatchMode.__torch_dispatch__:9012
2025-08-14T22:20:08.2407003Z Dynamo produced 1 graphs covering 806 ops with 0 graph breaks (0 unique)
2025-08-14T22:20:13.5315511Z 
2025-08-14T22:20:14.6920406Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:20:14.6920764Z 
2025-08-14T22:20:14.7001991Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-14T22:20:14.7002876Z config.json: 100% 1.21k/1.21k [00:00<00:00, 164kB/s]
2025-08-14T22:20:35.0055804Z 
2025-08-14T22:20:35.0056405Z loading model: 0it [00:21, ?it/s]
2025-08-14T22:20:35.0092648Z cpu  eval  hf_T5_base                         
2025-08-14T22:21:18.5299950Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:21:36.6463772Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:21:54.7109825Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:22:25.5093594Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5104984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5105726Z     return mod(**inputs)
2025-08-14T22:22:25.5106477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.5107672Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.5108947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5110073Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5110791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5111561Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5112328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5113122Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5113914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5114786Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5115707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 546, in forward
2025-08-14T22:22:25.5116484Z     position_bias = position_bias + causal_mask
2025-08-14T22:22:25.5116776Z 
2025-08-14T22:22:25.5116988Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5117686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5118333Z     return mod(**inputs)
2025-08-14T22:22:25.5119199Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5119973Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5120702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5121456Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5122299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5123139Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5124000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5124885Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5125639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5126429Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5127188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5128137Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5128546Z 
2025-08-14T22:22:25.5128746Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5129519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5130226Z     return mod(**inputs)
2025-08-14T22:22:25.5130906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5131669Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5132403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5133143Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5133832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5134562Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5135316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5136112Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5136867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5137643Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5138386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5139233Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5139506Z 
2025-08-14T22:22:25.5139702Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5140415Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5141071Z     return mod(**inputs)
2025-08-14T22:22:25.5141803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5142662Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5143648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5144549Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5145323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5146121Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5146957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5147809Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5148698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5149494Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5150267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5151048Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5151316Z 
2025-08-14T22:22:25.5151477Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5151871Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5152324Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5153056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5154235Z     return mod(**inputs)
2025-08-14T22:22:25.5154947Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5155956Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5156760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5157759Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5158520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5159246Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5159995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5160746Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5161490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5162247Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5162981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5163844Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5164108Z 
2025-08-14T22:22:25.5164302Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5165009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5165780Z     return mod(**inputs)
2025-08-14T22:22:25.5166480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5167308Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5168053Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5168796Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5169481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5170278Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5171015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5171798Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5172573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5173413Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5174370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5175138Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5175400Z 
2025-08-14T22:22:25.5175608Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5176390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5177091Z     return mod(**inputs)
2025-08-14T22:22:25.5177860Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5178621Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5179347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5180101Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5180789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5181665Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5182460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5183653Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5184502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5185482Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5186334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5187173Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5187557Z 
2025-08-14T22:22:25.5187771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5188552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5189220Z     return mod(**inputs)
2025-08-14T22:22:25.5189992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5190847Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5191650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5192489Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5193275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5194235Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5195719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5197193Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5198632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5200138Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5201562Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5202930Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5203402Z 
2025-08-14T22:22:25.5203745Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5205016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5206184Z     return mod(**inputs)
2025-08-14T22:22:25.5207427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5208784Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5210121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5211485Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5212729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5214056Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5215406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5216797Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5218236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5219553Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5225424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5226886Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5227348Z 
2025-08-14T22:22:25.5227697Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5229069Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5229914Z     return mod(**inputs)
2025-08-14T22:22:25.5230632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5231392Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5232149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5232912Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5233688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5234593Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5235344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5236102Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5236838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5237598Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5238349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5239081Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5239344Z 
2025-08-14T22:22:25.5239537Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5240239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5240879Z     return mod(**inputs)
2025-08-14T22:22:25.5241593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5242340Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5243068Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5243799Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5244479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5245201Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5245946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5246691Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5247440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5248204Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5248950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5249684Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5249952Z 
2025-08-14T22:22:25.5250093Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5250481Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5250903Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5251607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5252249Z     return mod(**inputs)
2025-08-14T22:22:25.5252972Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5254162Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5254905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5255662Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5256333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5257054Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5257803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5258558Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5259291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5260050Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5260802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5261616Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5261932Z 
2025-08-14T22:22:25.5262125Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5263119Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5263787Z     return mod(**inputs)
2025-08-14T22:22:25.5264489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5265267Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5266022Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5266905Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5267622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5268377Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5269151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5269998Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5270799Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5271659Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5272516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5273284Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5273570Z 
2025-08-14T22:22:25.5273769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5274705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5275335Z     return mod(**inputs)
2025-08-14T22:22:25.5276030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5276796Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5277528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5278261Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5278946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5279674Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5280402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5281176Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5282060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5283027Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5283834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5284591Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5284851Z 
2025-08-14T22:22:25.5285054Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5285755Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5286380Z     return mod(**inputs)
2025-08-14T22:22:25.5287129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5287880Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5288596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5289343Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5290071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5290835Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5291568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5292338Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5293103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5293915Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5294732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5295480Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5295737Z 
2025-08-14T22:22:25.5295945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5296636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5297280Z     return mod(**inputs)
2025-08-14T22:22:25.5298000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5298753Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5299469Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5300214Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5300903Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5301613Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5302359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5303373Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5304216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5304998Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5305776Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5306549Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5306809Z 
2025-08-14T22:22:25.5307008Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5307732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5308389Z     return mod(**inputs)
2025-08-14T22:22:25.5309094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5309889Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5310644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5311410Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5312103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5312846Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5313617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5314504Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5315235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5315992Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5316847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5317570Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5317813Z 
2025-08-14T22:22:25.5318029Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5318742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5319365Z     return mod(**inputs)
2025-08-14T22:22:25.5320017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5320748Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5321452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5322175Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5322915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5323583Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5324272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5324961Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5325689Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5326389Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5327073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5327746Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5327991Z 
2025-08-14T22:22:25.5328122Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5328481Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5328872Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5329518Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5330106Z     return mod(**inputs)
2025-08-14T22:22:25.5330740Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5331420Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5332091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5332771Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5333388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5334050Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5334738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5335440Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5336168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5336869Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5337564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5338255Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5338481Z 
2025-08-14T22:22:25.5338659Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5339311Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5339902Z     return mod(**inputs)
2025-08-14T22:22:25.5340520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5341213Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5341884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5342645Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5343475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5344263Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5345237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5346019Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5346818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5347673Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5348518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5349281Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5349560Z 
2025-08-14T22:22:25.5349760Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5350485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5351148Z     return mod(**inputs)
2025-08-14T22:22:25.5351882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5352661Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5353848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5354608Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5355315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5356152Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5356898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5357662Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5358437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5359269Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5360078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5360834Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5361108Z 
2025-08-14T22:22:25.5361297Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5362001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5362629Z     return mod(**inputs)
2025-08-14T22:22:25.5363316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5364145Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5364884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5365730Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5366402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5367109Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5367824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5368671Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5369378Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5370136Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5370879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5371570Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5371807Z 
2025-08-14T22:22:25.5372058Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5372743Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5373334Z     return mod(**inputs)
2025-08-14T22:22:25.5374025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5374772Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5375428Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5376106Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5376732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5377399Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5378070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5378769Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5379510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5380197Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5380886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5381572Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5381805Z 
2025-08-14T22:22:25.5381995Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5382688Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5383487Z     return mod(**inputs)
2025-08-14T22:22:25.5384200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5384962Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5385715Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5386489Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5404357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5405227Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5405985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5406892Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5412720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5413588Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5414348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5415100Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5415359Z 
2025-08-14T22:22:25.5415567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5416262Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5416904Z     return mod(**inputs)
2025-08-14T22:22:25.5417594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5418345Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5419058Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5419806Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5420494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5421203Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5421984Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5422876Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5423835Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5424608Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5425387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5426161Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5426424Z 
2025-08-14T22:22:25.5426570Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5426972Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5427427Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5428153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5428804Z     return mod(**inputs)
2025-08-14T22:22:25.5429512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5430326Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5431065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5431834Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5432534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5433275Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5434029Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5435010Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5435815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5436501Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5437191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5437872Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5438095Z 
2025-08-14T22:22:25.5438283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5438914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5439496Z     return mod(**inputs)
2025-08-14T22:22:25.5440125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5440812Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5441499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5442182Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5442809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5443461Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5444143Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5444837Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5445523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.5446293Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.5446647Z 
2025-08-14T22:22:25.5446825Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5447479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5448059Z     return mod(**inputs)
2025-08-14T22:22:25.5448722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5449441Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5450106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5450774Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5451402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5452071Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5452742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5454049Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5454901Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5455732Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5456642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5457404Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5457680Z 
2025-08-14T22:22:25.5457871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5458576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5459205Z     return mod(**inputs)
2025-08-14T22:22:25.5459896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5460650Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5461370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5462117Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5462899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5463824Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5464578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5465376Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5466173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5467030Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5467857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5468699Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5468974Z 
2025-08-14T22:22:25.5469186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5475166Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5476861Z     return mod(**inputs)
2025-08-14T22:22:25.5478643Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5480762Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5482638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5484478Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5485159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5485866Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5486719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5487468Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5488274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5489109Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5489904Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5490641Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5490891Z 
2025-08-14T22:22:25.5491214Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5491849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5492438Z     return mod(**inputs)
2025-08-14T22:22:25.5493072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5493745Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5494418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5495138Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5495764Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5496408Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5497093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5497790Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5498465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5499161Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5499848Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5500534Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5500768Z 
2025-08-14T22:22:25.5500945Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5501595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5502180Z     return mod(**inputs)
2025-08-14T22:22:25.5502880Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5503839Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5504596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5505367Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5506103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5506848Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5507612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5508400Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5509158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5509941Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5510719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5511474Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5511743Z 
2025-08-14T22:22:25.5511938Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5512663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5513325Z     return mod(**inputs)
2025-08-14T22:22:25.5514015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5514927Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5515702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5516408Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5517069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5517767Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5518586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5519266Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5519952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5520649Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5521326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5522041Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5522288Z 
2025-08-14T22:22:25.5522418Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5522774Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5523167Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5523813Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5524406Z     return mod(**inputs)
2025-08-14T22:22:25.5525028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5525721Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5526396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5527075Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5527688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5528353Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5529040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5529733Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5530419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5531104Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5532004Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5533174Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5533462Z 
2025-08-14T22:22:25.5533671Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5534366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5535013Z     return mod(**inputs)
2025-08-14T22:22:25.5535705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5536443Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5537178Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5537921Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5538603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5539310Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5540054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5540827Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5541632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5542478Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5543558Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5544335Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5544602Z 
2025-08-14T22:22:25.5544797Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5545521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5546182Z     return mod(**inputs)
2025-08-14T22:22:25.5546887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5547651Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5548405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5549212Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5549900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5550641Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5551407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5552205Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5552981Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5554250Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5555212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5555968Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5556232Z 
2025-08-14T22:22:25.5556425Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5557129Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5557769Z     return mod(**inputs)
2025-08-14T22:22:25.5558445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5559193Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5559920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5560665Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5561336Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5562136Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5562893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5563659Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5564427Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5565252Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5566152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5566834Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5567088Z 
2025-08-14T22:22:25.5567263Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5567909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5568500Z     return mod(**inputs)
2025-08-14T22:22:25.5569118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5569849Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5570576Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5571247Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5571878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5572544Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5573231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5573916Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5574802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5575541Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5576262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5577030Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5577288Z 
2025-08-14T22:22:25.5577473Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5578158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5578768Z     return mod(**inputs)
2025-08-14T22:22:25.5579438Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5580161Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5580856Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5581578Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5582239Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5583195Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5583961Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5584743Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5585515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5586298Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5587059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5587829Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5588087Z 
2025-08-14T22:22:25.5588295Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5589042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5589704Z     return mod(**inputs)
2025-08-14T22:22:25.5590411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5591186Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5591922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5592685Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5593384Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5594114Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5595054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5595933Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5596682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5597468Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5598249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5599000Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5599257Z 
2025-08-14T22:22:25.5599413Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5599787Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5600225Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5600930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5601556Z     return mod(**inputs)
2025-08-14T22:22:25.5602244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5603000Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5603719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5604502Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5605185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5605912Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5606642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5607407Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5608159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5608922Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5609665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5610414Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5610658Z 
2025-08-14T22:22:25.5610866Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5611563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5612206Z     return mod(**inputs)
2025-08-14T22:22:25.5612887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5613747Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5614445Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5615287Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5615914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5616597Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5617279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5617977Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5618666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.5619437Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.5619788Z 
2025-08-14T22:22:25.5619963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5620606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5621191Z     return mod(**inputs)
2025-08-14T22:22:25.5621808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5622498Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5623446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5624235Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5624965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5625713Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5626477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5627254Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5628047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5628898Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5629734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5630514Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5630793Z 
2025-08-14T22:22:25.5630990Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5631708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5632371Z     return mod(**inputs)
2025-08-14T22:22:25.5633066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5633826Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5634559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5635630Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5636233Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5636870Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5637526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5638225Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5638915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5639652Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5640374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5641052Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5641290Z 
2025-08-14T22:22:25.5641467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5642088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5642661Z     return mod(**inputs)
2025-08-14T22:22:25.5643309Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5643982Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5644634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5645305Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5645914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5646554Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5647224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5647917Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5648604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5649338Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5650099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5650805Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5651037Z 
2025-08-14T22:22:25.5651729Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5652354Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5652930Z     return mod(**inputs)
2025-08-14T22:22:25.5654104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5654843Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5655557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5656288Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5657023Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5662715Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5663634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5664507Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5665265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5666035Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5666791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5667555Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5667810Z 
2025-08-14T22:22:25.5668013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5668719Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5669366Z     return mod(**inputs)
2025-08-14T22:22:25.5670059Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5670826Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5671557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5672311Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5672998Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5673720Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5674574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5675319Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5676110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5676853Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5677598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5678336Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5678684Z 
2025-08-14T22:22:25.5678880Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5679541Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5680155Z     return mod(**inputs)
2025-08-14T22:22:25.5680801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5681506Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5682202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5682907Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5683603Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5684319Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5685031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5685757Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5686462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5687182Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5687899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5688611Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5688858Z 
2025-08-14T22:22:25.5688992Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5689358Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5689769Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5690436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5691070Z     return mod(**inputs)
2025-08-14T22:22:25.5691719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5692707Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5693411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5694138Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5694807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5695503Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5696236Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5696987Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5697727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5698461Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5699197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5699934Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5700172Z 
2025-08-14T22:22:25.5700369Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5701052Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5701681Z     return mod(**inputs)
2025-08-14T22:22:25.5702382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5703367Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5704110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5704873Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5705564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5706284Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5707039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5707829Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5708595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5709437Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5710272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5711066Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5711363Z 
2025-08-14T22:22:25.5711553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5712267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5712920Z     return mod(**inputs)
2025-08-14T22:22:25.5713602Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5714473Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5715289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5716093Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5716700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5717348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5718020Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5718741Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5720047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5720866Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5721668Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5722401Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5722670Z 
2025-08-14T22:22:25.5722853Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5723551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5724179Z     return mod(**inputs)
2025-08-14T22:22:25.5724913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5725660Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5726377Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5727096Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5727767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5728473Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5729201Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5729946Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5730742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5731555Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5732362Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5733096Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5733359Z 
2025-08-14T22:22:25.5733545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5734236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5734857Z     return mod(**inputs)
2025-08-14T22:22:25.5735533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5736270Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5736991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5737709Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5738601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5739280Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5739948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5740631Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5741304Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5741986Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5742720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5743602Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5743857Z 
2025-08-14T22:22:25.5744060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5744775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5745413Z     return mod(**inputs)
2025-08-14T22:22:25.5746140Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5746899Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5747626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5748372Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5749055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5749778Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5750522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5751291Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5752050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5752812Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5753991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5754752Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5755004Z 
2025-08-14T22:22:25.5755204Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5756002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5756629Z     return mod(**inputs)
2025-08-14T22:22:25.5757305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5758106Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5758826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5759563Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5760243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5760943Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5761680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5762420Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5763156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5763893Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5764626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5765360Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5765721Z 
2025-08-14T22:22:25.5765851Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5766292Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5766837Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5767510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5768112Z     return mod(**inputs)
2025-08-14T22:22:25.5768894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5769572Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5770215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5770881Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5771494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5772144Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5772805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5773539Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5774386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5775105Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5775819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5776532Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5776763Z 
2025-08-14T22:22:25.5776957Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5777617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5778223Z     return mod(**inputs)
2025-08-14T22:22:25.5778878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5779585Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5780279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5780991Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5781636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5783012Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5783934Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5784706Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5785518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.5786391Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.5786857Z 
2025-08-14T22:22:25.5787061Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5787795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5788446Z     return mod(**inputs)
2025-08-14T22:22:25.5789153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5789928Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5790684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5791435Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5792136Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5792884Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5793672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5794610Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5795380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5796210Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5797013Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5797764Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5798023Z 
2025-08-14T22:22:25.5798216Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5798902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5799520Z     return mod(**inputs)
2025-08-14T22:22:25.5800195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5801038Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5801766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5802574Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5803185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5804012Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5804719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5805462Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5806197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5806975Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5807757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5808480Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5808733Z 
2025-08-14T22:22:25.5808928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5809592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5810197Z     return mod(**inputs)
2025-08-14T22:22:25.5810858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5811592Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5812278Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5813013Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5813670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5814348Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5815062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5815975Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5816726Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5817532Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5818326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5819061Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5819314Z 
2025-08-14T22:22:25.5819502Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5820195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5820849Z     return mod(**inputs)
2025-08-14T22:22:25.5821543Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5822279Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5823242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5824005Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5824684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5825412Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5826169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5826945Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5827699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5828462Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5829255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5830019Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5830277Z 
2025-08-14T22:22:25.5830467Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5831181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5831830Z     return mod(**inputs)
2025-08-14T22:22:25.5832515Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5833278Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5834024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5834782Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5835559Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5836278Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5837012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5837746Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5838484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5839225Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5839966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5840723Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5840971Z 
2025-08-14T22:22:25.5841153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5841837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5842467Z     return mod(**inputs)
2025-08-14T22:22:25.5843125Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5843854Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5844649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5855715Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5856396Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5857108Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5857843Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5858588Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5859419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5860208Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5860943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5861685Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5861945Z 
2025-08-14T22:22:25.5862081Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5862456Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5863153Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5863871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5864521Z     return mod(**inputs)
2025-08-14T22:22:25.5865208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5865978Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5866768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5867514Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5868197Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5868931Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5869692Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5870446Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5871198Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5871969Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5872734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5873481Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5873736Z 
2025-08-14T22:22:25.5873932Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5874849Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5875450Z     return mod(**inputs)
2025-08-14T22:22:25.5876094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5876819Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5877516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5878212Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5878906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5879603Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5880312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5881047Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5881779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5882567Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5883348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5884063Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5884320Z 
2025-08-14T22:22:25.5884496Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5885167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5885874Z     return mod(**inputs)
2025-08-14T22:22:25.5886520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5888505Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5889149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5889823Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5890435Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5891080Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5891741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5892438Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5893127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5893868Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5894648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5895319Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5895550Z 
2025-08-14T22:22:25.5895730Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5896348Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5896916Z     return mod(**inputs)
2025-08-14T22:22:25.5897534Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5898202Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5898851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5899519Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5900126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5900767Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5901439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5902132Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5902905Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5903904Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5904728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5905529Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5905790Z 
2025-08-14T22:22:25.5905986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5906698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5907538Z     return mod(**inputs)
2025-08-14T22:22:25.5908238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5908995Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5909745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5910503Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5911200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5911343Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5911844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5912002Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5912536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5912712Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5913220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5913354Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5913370Z 
2025-08-14T22:22:25.5913567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5913967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5914082Z     return mod(**inputs)
2025-08-14T22:22:25.5914597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5914731Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5915245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5915517Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5915969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5916109Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5916590Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5916729Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5917216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5917359Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5917852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5917983Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5918001Z 
2025-08-14T22:22:25.5918191Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5918592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5918707Z     return mod(**inputs)
2025-08-14T22:22:25.5919202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5919325Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5919811Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5919939Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5920415Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5920552Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5921047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5921189Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5921682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5921820Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5922305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5922445Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5922460Z 
2025-08-14T22:22:25.5922593Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5922725Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5922918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5923308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5923433Z     return mod(**inputs)
2025-08-14T22:22:25.5923948Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5924106Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5924600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5924719Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5925168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5925316Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5925900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5926047Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5926516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5926775Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5927253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5927368Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5927382Z 
2025-08-14T22:22:25.5927563Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5927922Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5928020Z     return mod(**inputs)
2025-08-14T22:22:25.5928472Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5928588Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5929033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5929150Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5929565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5929703Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5930146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5930272Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5942267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.5942679Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.5942695Z 
2025-08-14T22:22:25.5942889Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5943564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5943686Z     return mod(**inputs)
2025-08-14T22:22:25.5944224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5944369Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5944877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5945009Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5945482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5945628Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5946139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5946297Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5946796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5947018Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5947582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5947770Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5947786Z 
2025-08-14T22:22:25.5947980Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5948382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5948513Z     return mod(**inputs)
2025-08-14T22:22:25.5949016Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5949150Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5949663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5949789Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5950269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5950446Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5950941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5951110Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5951605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5951831Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5952326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5952465Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5952481Z 
2025-08-14T22:22:25.5952684Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5953089Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5953659Z     return mod(**inputs)
2025-08-14T22:22:25.5954191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5954325Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5954832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5954956Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5955528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5955672Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5956231Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5956386Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5956881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5957096Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5957584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5957720Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5957736Z 
2025-08-14T22:22:25.5957925Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5958324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5958437Z     return mod(**inputs)
2025-08-14T22:22:25.5958935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5959067Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5959597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5959781Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5960237Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5960375Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5960863Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5961003Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5961493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5961636Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5962118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5962260Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5962276Z 
2025-08-14T22:22:25.5962466Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5962913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5963023Z     return mod(**inputs)
2025-08-14T22:22:25.5963509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5963645Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5964127Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5964248Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5964702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5964841Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5965329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5965471Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5966045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5966184Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5966623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5966740Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5966765Z 
2025-08-14T22:22:25.5966934Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5967292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5967405Z     return mod(**inputs)
2025-08-14T22:22:25.5967877Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5967999Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5968454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5968566Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5968980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5969274Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5970086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5970238Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5970720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5970866Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5971352Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.5971521Z     value_states = self.v(current_states)
2025-08-14T22:22:25.5971566Z 
2025-08-14T22:22:25.5971718Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5971851Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.5972037Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5972435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5972548Z     return mod(**inputs)
2025-08-14T22:22:25.5973033Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5973170Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5973657Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5973783Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5974294Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5974472Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5974965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5975104Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5975581Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5975728Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5976206Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.5976338Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.5976353Z 
2025-08-14T22:22:25.5976544Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5976933Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5977055Z     return mod(**inputs)
2025-08-14T22:22:25.5977546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5977679Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5978160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5978281Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5978738Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5978873Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5979354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5979542Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5980028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5980249Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5980729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.5980864Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.5980880Z 
2025-08-14T22:22:25.5981073Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5981462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5981573Z     return mod(**inputs)
2025-08-14T22:22:25.5982069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5982199Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5982791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5983114Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5983611Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5983755Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5984251Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5984425Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5984920Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5985134Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5985641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.5985781Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.5985797Z 
2025-08-14T22:22:25.5985991Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5986438Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5986555Z     return mod(**inputs)
2025-08-14T22:22:25.5987069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5987196Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5987693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5987826Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5988292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5988443Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5988940Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.5989099Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.5989606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.5989822Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.5990314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.5990458Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.5990474Z 
2025-08-14T22:22:25.5990664Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5991078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5991192Z     return mod(**inputs)
2025-08-14T22:22:25.5991722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5991867Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5992370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5992497Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5992967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5993105Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5993610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5993751Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5994349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5994499Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5995103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.5995273Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.5995289Z 
2025-08-14T22:22:25.5995460Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5995818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5995928Z     return mod(**inputs)
2025-08-14T22:22:25.5996368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.5996485Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.5996937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.5997049Z     layer_outputs = layer_module(
2025-08-14T22:22:25.5997467Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.5997590Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.5998036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.5998206Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.5998644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.5998774Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.5999216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.5999333Z     key_states = self.k(current_states)
2025-08-14T22:22:25.5999347Z 
2025-08-14T22:22:25.5999521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.5999880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.5999981Z     return mod(**inputs)
2025-08-14T22:22:25.6000430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.6000547Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.6000996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6001105Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6001512Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6001639Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6002076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6002200Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6002670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6002799Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6003249Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6003373Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6003387Z 
2025-08-14T22:22:25.6003511Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6003643Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6003812Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6004169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6004277Z     return mod(**inputs)
2025-08-14T22:22:25.6004723Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6004849Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6005289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6005436Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6005884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6006004Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6006444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6006579Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6007017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 598, in forward
2025-08-14T22:22:25.6007201Z     normed_hidden_states = self.layer_norm(hidden_states)
2025-08-14T22:22:25.6007641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 261, in forward
2025-08-14T22:22:25.6007761Z     return self.weight * hidden_states
2025-08-14T22:22:25.6007774Z 
2025-08-14T22:22:25.6007960Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6008498Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6008645Z     return mod(**inputs)
2025-08-14T22:22:25.6009121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6009242Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6009722Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6009840Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6010275Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6010415Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6010882Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6011027Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6011501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6011636Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6012110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6012236Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6012250Z 
2025-08-14T22:22:25.6012439Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6012816Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6012923Z     return mod(**inputs)
2025-08-14T22:22:25.6013434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6013560Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6014031Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6014163Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6014599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6014737Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6015202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6015337Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6015809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6015947Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6016416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6016578Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6016620Z 
2025-08-14T22:22:25.6016803Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6017189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6017298Z     return mod(**inputs)
2025-08-14T22:22:25.6017770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6017902Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6018373Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6018499Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6018939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6019070Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6019546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6019709Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6020296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6020434Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6020875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6021000Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6021014Z 
2025-08-14T22:22:25.6021138Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6021262Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6021441Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6021799Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6021901Z     return mod(**inputs)
2025-08-14T22:22:25.6022356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6022474Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6023185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6023319Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6023784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6023934Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6024430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6024605Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6025111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6025261Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6025774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6025902Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6025917Z 
2025-08-14T22:22:25.6026110Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6026521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6026634Z     return mod(**inputs)
2025-08-14T22:22:25.6027146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6027275Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6027774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6027909Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6028403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6028572Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6029078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6029223Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6029727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6029876Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6030367Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6030511Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6030526Z 
2025-08-14T22:22:25.6030721Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6031133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6031280Z     return mod(**inputs)
2025-08-14T22:22:25.6031807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.6031988Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.6032598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6032736Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6033202Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6033347Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6033846Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6033989Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6034489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6034639Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6035131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6035270Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6035286Z 
2025-08-14T22:22:25.6035587Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6035984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6036093Z     return mod(**inputs)
2025-08-14T22:22:25.6036614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.6036808Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.6037300Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6037425Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6037881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6038017Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6038502Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6038639Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6039118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.6039359Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6039375Z 
2025-08-14T22:22:25.6039567Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6039998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6040140Z     return mod(**inputs)
2025-08-14T22:22:25.6040632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.6040765Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.6041247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6041368Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6041823Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6041959Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6042453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6042606Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6043091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6043341Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6043822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6043961Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6043987Z 
2025-08-14T22:22:25.6044170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6044561Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6044679Z     return mod(**inputs)
2025-08-14T22:22:25.6045165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.6045291Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.6045782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6045902Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6046359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6046489Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6046970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6047131Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6047607Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6047814Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6048340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6048584Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6048598Z 
2025-08-14T22:22:25.6048788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6049284Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6049384Z     return mod(**inputs)
2025-08-14T22:22:25.6049832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1725, in forward
2025-08-14T22:22:25.6049946Z     encoder_outputs = self.encoder(
2025-08-14T22:22:25.6050401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6050512Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6050923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6051055Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6051522Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6051693Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6052141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6052328Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6052777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6052898Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6052912Z 
2025-08-14T22:22:25.6053080Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6053966Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6054085Z     return mod(**inputs)
2025-08-14T22:22:25.6054574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6054715Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6055288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6055422Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6055873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6056006Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6056493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6056634Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6057121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6057273Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6057751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6057892Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6057907Z 
2025-08-14T22:22:25.6058094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6058487Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6058608Z     return mod(**inputs)
2025-08-14T22:22:25.6059093Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6059224Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6059705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6059826Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6060323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6060459Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6060941Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6061089Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6061567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6061718Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6062193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6062325Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6062340Z 
2025-08-14T22:22:25.6062482Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6062705Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6062905Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6063519Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6063675Z     return mod(**inputs)
2025-08-14T22:22:25.6064189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6064317Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6064817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6064946Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6065407Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6065553Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6066050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6066195Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6066696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6066877Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6067368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6067506Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6067522Z 
2025-08-14T22:22:25.6067709Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6068113Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6068225Z     return mod(**inputs)
2025-08-14T22:22:25.6068725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6068865Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6069361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6069498Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6069965Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6070102Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6070604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6070764Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6071258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6071485Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6072006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6072155Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6072170Z 
2025-08-14T22:22:25.6072363Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6072767Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6072892Z     return mod(**inputs)
2025-08-14T22:22:25.6073393Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6073522Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6074028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6074151Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6074704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6074837Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6075332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6075520Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6075990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6076197Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6076664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6076797Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6076812Z 
2025-08-14T22:22:25.6076997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6077372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6077478Z     return mod(**inputs)
2025-08-14T22:22:25.6077952Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6078077Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6078584Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6078699Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6079130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6079269Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6079729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6079880Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6080350Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6080552Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6081026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6081164Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6081179Z 
2025-08-14T22:22:25.6081356Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6081741Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6081850Z     return mod(**inputs)
2025-08-14T22:22:25.6082330Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6082451Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6082923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6083075Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6083511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6083644Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6084124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6084262Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6084741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6084879Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6085343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6085481Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6085619Z 
2025-08-14T22:22:25.6085791Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6086158Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6086258Z     return mod(**inputs)
2025-08-14T22:22:25.6086734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6086889Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6087333Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6087442Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6087857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6087978Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6088422Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6088549Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6088989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6089129Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6089610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6089725Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6089747Z 
2025-08-14T22:22:25.6089916Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6090270Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6090377Z     return mod(**inputs)
2025-08-14T22:22:25.6090821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6090936Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6091389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6091502Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6091922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6092053Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6092492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6092626Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6093065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6093193Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6093637Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6093758Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6093798Z 
2025-08-14T22:22:25.6093929Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6094054Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6094627Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6104775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6104895Z     return mod(**inputs)
2025-08-14T22:22:25.6105401Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6105540Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6106045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6106179Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6106644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6106787Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6107292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6107481Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6108012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6108163Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6108660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6108796Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6108812Z 
2025-08-14T22:22:25.6109005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6109408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6109534Z     return mod(**inputs)
2025-08-14T22:22:25.6110040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6110178Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6110679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6110839Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6111316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6111456Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6111954Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6112107Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6112599Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6112760Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6113250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6113382Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6113401Z 
2025-08-14T22:22:25.6113601Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6114004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6114129Z     return mod(**inputs)
2025-08-14T22:22:25.6114828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6115065Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6115518Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6115630Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6116065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6116196Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6116633Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6116773Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6117212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6117343Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6117794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6117911Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6117925Z 
2025-08-14T22:22:25.6118094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6118459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6118559Z     return mod(**inputs)
2025-08-14T22:22:25.6119037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6119181Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6119623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6119742Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6120149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6120268Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6120712Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6120840Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6121284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6121417Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6121854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6122013Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6122027Z 
2025-08-14T22:22:25.6122151Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6122280Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6122452Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6122806Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6122914Z     return mod(**inputs)
2025-08-14T22:22:25.6123359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6123475Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6123927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6124038Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6124460Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6124583Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6125024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6125160Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6125598Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6125730Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6126172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6126311Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6126325Z 
2025-08-14T22:22:25.6126500Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6126859Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6126962Z     return mod(**inputs)
2025-08-14T22:22:25.6127410Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6127525Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6127973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6128079Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6128489Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6128614Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6129050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6129214Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6129681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6129870Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6130313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6130434Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6130448Z 
2025-08-14T22:22:25.6130613Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6130974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6131077Z     return mod(**inputs)
2025-08-14T22:22:25.6131521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6131640Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6132084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6132230Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6132638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6132759Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6133205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6133344Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6133789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6133979Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6134416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6134553Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6134571Z 
2025-08-14T22:22:25.6134739Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6135093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6135199Z     return mod(**inputs)
2025-08-14T22:22:25.6135639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6135761Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6136205Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6136319Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6136789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6136912Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6137351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6137501Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6137937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6138129Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6138565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6138687Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6138701Z 
2025-08-14T22:22:25.6138876Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6139229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6139333Z     return mod(**inputs)
2025-08-14T22:22:25.6139800Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6139952Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6140402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6140510Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6140915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6141042Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6141481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6141609Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6142046Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6142172Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6142691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6142843Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6142857Z 
2025-08-14T22:22:25.6143211Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6143600Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6143713Z     return mod(**inputs)
2025-08-14T22:22:25.6144376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6144506Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6145012Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6145140Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6145604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6145752Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6146245Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6146384Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6146884Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6147027Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6147521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6147654Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6147669Z 
2025-08-14T22:22:25.6147900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6148298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6148415Z     return mod(**inputs)
2025-08-14T22:22:25.6148923Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6149050Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6149545Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6149670Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6150129Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6150269Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6150765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6150903Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6151431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6151604Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6152106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6152238Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6152253Z 
2025-08-14T22:22:25.6152394Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6152537Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6152724Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6153122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6153642Z     return mod(**inputs)
2025-08-14T22:22:25.6154155Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6154295Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6154797Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6154997Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6155468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6155603Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6156203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6156344Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6156879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6157028Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6157606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6157733Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6157753Z 
2025-08-14T22:22:25.6157944Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6158330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6158438Z     return mod(**inputs)
2025-08-14T22:22:25.6158929Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6159053Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6159538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6159657Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6160158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6160299Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6160782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6160927Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6161404Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.6161640Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6161656Z 
2025-08-14T22:22:25.6161844Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6162229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6162338Z     return mod(**inputs)
2025-08-14T22:22:25.6162830Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6162953Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6163477Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6163640Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6164088Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6164228Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6164707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6164847Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6165329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6165474Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6165957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6166083Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6166098Z 
2025-08-14T22:22:25.6166285Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6166708Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6166816Z     return mod(**inputs)
2025-08-14T22:22:25.6167302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6167427Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6167907Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6168029Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6168474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6168606Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6169091Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6169231Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6169711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6169853Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6170327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6170460Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6170475Z 
2025-08-14T22:22:25.6170658Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6171047Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6171155Z     return mod(**inputs)
2025-08-14T22:22:25.6171666Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6171800Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6172283Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6172400Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6172858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6172988Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6173471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6173606Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6174083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6174233Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6174734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6174892Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6174914Z 
2025-08-14T22:22:25.6175049Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6175181Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6175371Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6175758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6175863Z     return mod(**inputs)
2025-08-14T22:22:25.6176354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6176479Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6177069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6177192Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6177630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6177800Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6178265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6178396Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6178867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6179007Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6179479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6179599Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6179614Z 
2025-08-14T22:22:25.6179796Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6180181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6180289Z     return mod(**inputs)
2025-08-14T22:22:25.6180757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6180887Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6181354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6181477Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6181910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6182036Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6182532Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6182761Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6183414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6183644Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6184138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6184278Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6184294Z 
2025-08-14T22:22:25.6184482Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6184878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6184995Z     return mod(**inputs)
2025-08-14T22:22:25.6185492Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6185631Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6186171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6186320Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6186791Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6186925Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6187416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6187578Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6188070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6188289Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6188782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6188922Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6188938Z 
2025-08-14T22:22:25.6189134Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6189566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6189687Z     return mod(**inputs)
2025-08-14T22:22:25.6190185Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6190313Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6190822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6190943Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6191403Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6191549Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6192045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6192213Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6192702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6192913Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6193413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6193549Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6193565Z 
2025-08-14T22:22:25.6193758Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6194268Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6194405Z     return mod(**inputs)
2025-08-14T22:22:25.6195007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6195131Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6195705Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6195817Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6196226Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6196353Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6196789Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6196916Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6197360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6197487Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6197949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6198096Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6198110Z 
2025-08-14T22:22:25.6198279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6198637Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6198735Z     return mod(**inputs)
2025-08-14T22:22:25.6199175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6199294Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6199736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6199843Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6200257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6200379Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6200851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6200975Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6201414Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6201545Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6201983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6202101Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6202114Z 
2025-08-14T22:22:25.6202281Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6202636Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6202742Z     return mod(**inputs)
2025-08-14T22:22:25.6203186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6203302Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6203749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6203856Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6204266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6204390Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6204828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6204959Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6205420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6205553Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6205997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6206113Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6206127Z 
2025-08-14T22:22:25.6206256Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6206378Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6206546Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6206902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6207001Z     return mod(**inputs)
2025-08-14T22:22:25.6207449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6207561Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6208030Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6208175Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6208586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6208707Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6209150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6209274Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6209716Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6209841Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6210279Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6210402Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6210415Z 
2025-08-14T22:22:25.6210588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6210973Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6211083Z     return mod(**inputs)
2025-08-14T22:22:25.6211526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6211643Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6212083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6212192Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6212606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6212732Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6213176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6213302Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6213744Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6213882Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6214317Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6214432Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6214446Z 
2025-08-14T22:22:25.6214619Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6214971Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6215075Z     return mod(**inputs)
2025-08-14T22:22:25.6215539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6215655Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6216105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6216216Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6216626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6216751Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6217186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6217317Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6217753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6217886Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6218324Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6218463Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6218504Z 
2025-08-14T22:22:25.6218677Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6219028Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6219314Z     return mod(**inputs)
2025-08-14T22:22:25.6220207Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6220331Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6220815Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6220938Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6221385Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6221521Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6222002Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6222179Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6222720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6222867Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6223525Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6223662Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6223678Z 
2025-08-14T22:22:25.6223817Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6223957Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6224150Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6224617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6224737Z     return mod(**inputs)
2025-08-14T22:22:25.6225240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6225366Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6225873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6225996Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6226462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6226595Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6227087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6227284Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6227778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6227936Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6228424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6228555Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6228571Z 
2025-08-14T22:22:25.6228766Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6229164Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6229275Z     return mod(**inputs)
2025-08-14T22:22:25.6229779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6229904Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6230413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6230571Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6231062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6231210Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6231704Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6231845Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6232346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:22:25.6232583Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6232599Z 
2025-08-14T22:22:25.6232795Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6233195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6233309Z     return mod(**inputs)
2025-08-14T22:22:25.6233820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6233979Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6234587Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6234705Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6235149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6235286Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6235760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6235916Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6236405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6236611Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6237097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6237230Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6237245Z 
2025-08-14T22:22:25.6237538Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6237898Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6237998Z     return mod(**inputs)
2025-08-14T22:22:25.6238450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6238567Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6239035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6239155Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6239572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6239696Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6240139Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6240276Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6240717Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6240905Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6241338Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6241469Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6241483Z 
2025-08-14T22:22:25.6241653Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6242041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6242171Z     return mod(**inputs)
2025-08-14T22:22:25.6242612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6242733Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6243176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6243283Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6243698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6243819Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6244262Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6244401Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6244839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6245061Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6245495Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6245615Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6245634Z 
2025-08-14T22:22:25.6245800Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6246153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6246262Z     return mod(**inputs)
2025-08-14T22:22:25.6246706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6246819Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6247266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6247378Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6247788Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6247909Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6248345Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6248472Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6248906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6249032Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6249499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6249618Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6249633Z 
2025-08-14T22:22:25.6249806Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6250159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6250258Z     return mod(**inputs)
2025-08-14T22:22:25.6250707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6250820Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6251266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6251386Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6251796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6251928Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6252391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6252545Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6252995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6253122Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6254130Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6254262Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6254277Z 
2025-08-14T22:22:25.6254465Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6254869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6254983Z     return mod(**inputs)
2025-08-14T22:22:25.6255468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6255610Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6256167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6256300Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6256749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6256881Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6257370Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6257508Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6257987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6258130Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6258610Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6258747Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6258762Z 
2025-08-14T22:22:25.6258895Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6259028Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6259221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6259610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6259721Z     return mod(**inputs)
2025-08-14T22:22:25.6260208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6260332Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6260858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6260981Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6261429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6261572Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6262048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6262192Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6262761Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6262903Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6263572Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6263704Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6263720Z 
2025-08-14T22:22:25.6263912Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6264365Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6264519Z     return mod(**inputs)
2025-08-14T22:22:25.6265025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6265153Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6265654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6265780Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6266263Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6266478Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6266999Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6267142Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6267651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6267854Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6268348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6268490Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6268506Z 
2025-08-14T22:22:25.6268696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6269100Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6269215Z     return mod(**inputs)
2025-08-14T22:22:25.6269714Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6269853Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6270354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6270481Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6270949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6271085Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6271586Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6271727Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6272219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6272374Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6272893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6273025Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6273048Z 
2025-08-14T22:22:25.6273239Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6273641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6273758Z     return mod(**inputs)
2025-08-14T22:22:25.6274361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6274485Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6275076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6275194Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6275634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6275762Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6276265Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6276433Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6276899Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6277039Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6277507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6277632Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6277646Z 
2025-08-14T22:22:25.6277781Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6277909Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6278088Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6278469Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6278575Z     return mod(**inputs)
2025-08-14T22:22:25.6279210Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6279447Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6280153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6280317Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6281024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6281162Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6281651Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6281839Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6282457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6282611Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6283092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6283231Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6283247Z 
2025-08-14T22:22:25.6283433Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6283821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6283935Z     return mod(**inputs)
2025-08-14T22:22:25.6284419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6284551Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6285086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6285211Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6285672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6285810Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6286291Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6286514Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6286995Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6287215Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6287691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6287826Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6287844Z 
2025-08-14T22:22:25.6288043Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6288470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6288622Z     return mod(**inputs)
2025-08-14T22:22:25.6289111Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6289236Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6289731Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6289850Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6290298Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6290441Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6290922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6291082Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6291564Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6291803Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6292289Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6292424Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6292439Z 
2025-08-14T22:22:25.6292632Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6293021Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6293133Z     return mod(**inputs)
2025-08-14T22:22:25.6293622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6293752Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6294248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6294440Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6295085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6295271Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6295891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6296045Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6296533Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6296738Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6297258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6297406Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6297422Z 
2025-08-14T22:22:25.6297607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6298009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6298118Z     return mod(**inputs)
2025-08-14T22:22:25.6298604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6298739Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6299221Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6299348Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6299793Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6299928Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6300449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6300630Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6301108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-14T22:22:25.6301340Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-14T22:22:25.6301356Z 
2025-08-14T22:22:25.6301539Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6301932Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6302040Z     return mod(**inputs)
2025-08-14T22:22:25.6302523Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6302745Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6303408Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6303536Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6304041Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6304177Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6304677Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6304817Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6305307Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6305463Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6305958Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6306099Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6306115Z 
2025-08-14T22:22:25.6306308Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6306711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6306830Z     return mod(**inputs)
2025-08-14T22:22:25.6307328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6307454Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6307962Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6308084Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6308555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6308725Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6309220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6309372Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6309870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6310013Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6310510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6310640Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6310655Z 
2025-08-14T22:22:25.6310851Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6311250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6311361Z     return mod(**inputs)
2025-08-14T22:22:25.6311875Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6312005Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6312538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6312705Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6313168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6313313Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6313809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6313949Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6314552Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6314694Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6315277Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6315406Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6315481Z 
2025-08-14T22:22:25.6315612Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6315744Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6315926Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6316304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6316418Z     return mod(**inputs)
2025-08-14T22:22:25.6316893Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6317019Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6317490Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6317610Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6318055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6318189Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6318669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6318803Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6319443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6319592Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6320071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6320194Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6320209Z 
2025-08-14T22:22:25.6320430Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6320822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6320942Z     return mod(**inputs)
2025-08-14T22:22:25.6321430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6321560Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6322050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6322171Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6322624Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6322764Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6323242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6323388Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6323869Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6324075Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6324568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6324698Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6324713Z 
2025-08-14T22:22:25.6324904Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6325291Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6325397Z     return mod(**inputs)
2025-08-14T22:22:25.6325888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6326012Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6326498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6326622Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6327070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6327242Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6327719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6327858Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6328349Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6328492Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6328968Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6329102Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6329118Z 
2025-08-14T22:22:25.6329300Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6329695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6329809Z     return mod(**inputs)
2025-08-14T22:22:25.6330292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6330422Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6331011Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6331137Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6331571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6331698Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6332193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6332329Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6332794Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6332943Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6333406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6333533Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6333548Z 
2025-08-14T22:22:25.6333679Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6333809Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6333997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6334372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6334479Z     return mod(**inputs)
2025-08-14T22:22:25.6334953Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6335101Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6335604Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6335720Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6336150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6336282Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6336746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6336880Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6337353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6337493Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6337970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6338122Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6338137Z 
2025-08-14T22:22:25.6338317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6338698Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6338802Z     return mod(**inputs)
2025-08-14T22:22:25.6339276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6339393Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6339861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6339986Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6340421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6340551Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6341028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6341174Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6341645Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6341846Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6342312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6342448Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6342462Z 
2025-08-14T22:22:25.6342717Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6343320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6343437Z     return mod(**inputs)
2025-08-14T22:22:25.6343943Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6344088Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6344665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6355018Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6355519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6355659Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6356171Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6356339Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6356931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6357234Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6357762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6357899Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6357924Z 
2025-08-14T22:22:25.6358113Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6358500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6358619Z     return mod(**inputs)
2025-08-14T22:22:25.6359109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6359233Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6359728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6359851Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6360315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6361573Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6362054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6362215Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6362699Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6362904Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6363391Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6363531Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6363546Z 
2025-08-14T22:22:25.6363740Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6364132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6364246Z     return mod(**inputs)
2025-08-14T22:22:25.6364741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6364867Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6365351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6365476Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6366037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6366178Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6366796Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6366928Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6367381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6367512Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6367957Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6368075Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6368089Z 
2025-08-14T22:22:25.6368261Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6368625Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6368727Z     return mod(**inputs)
2025-08-14T22:22:25.6369172Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6369293Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6369779Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6369931Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6370340Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6370465Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6370909Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6371034Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6371474Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6371617Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6372060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6372191Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6372207Z 
2025-08-14T22:22:25.6372413Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6372769Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6372879Z     return mod(**inputs)
2025-08-14T22:22:25.6373321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6373449Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6373888Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6373999Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6374606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6374737Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6375208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6375358Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6375822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6375968Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6386135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6386336Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6386366Z 
2025-08-14T22:22:25.6386516Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6386656Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6386857Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6387370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6387494Z     return mod(**inputs)
2025-08-14T22:22:25.6388028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6388163Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6388670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6388807Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6389270Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6389410Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6389914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6390057Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6390551Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6390736Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6391264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6391405Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6391422Z 
2025-08-14T22:22:25.6391617Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6392017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6392139Z     return mod(**inputs)
2025-08-14T22:22:25.6392639Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6392776Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6393276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6393400Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6393873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6394045Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6394642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6394790Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6395372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.6395716Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6395730Z 
2025-08-14T22:22:25.6395900Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6396260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6396372Z     return mod(**inputs)
2025-08-14T22:22:25.6396817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6396940Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6397387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6397496Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6397918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6398037Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6398475Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6398609Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6399070Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6399213Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6399652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6399775Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6399789Z 
2025-08-14T22:22:25.6399963Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6400316Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6400416Z     return mod(**inputs)
2025-08-14T22:22:25.6400864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6400978Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6401432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6401541Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6401977Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6402135Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6402574Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6402702Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6403146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6403278Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6403724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6403840Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6403855Z 
2025-08-14T22:22:25.6404027Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6404391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6404494Z     return mod(**inputs)
2025-08-14T22:22:25.6404973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6405086Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6405526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6405646Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6406051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6406173Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6406809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6407162Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6407886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6408088Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6408569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6408706Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6408722Z 
2025-08-14T22:22:25.6408861Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6409003Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6409188Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6409577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6409698Z     return mod(**inputs)
2025-08-14T22:22:25.6410224Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6410351Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6410853Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6410978Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6411432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6411562Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6412043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6412192Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6412669Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6412814Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6413303Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6413457Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6413502Z 
2025-08-14T22:22:25.6413701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6414090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6414201Z     return mod(**inputs)
2025-08-14T22:22:25.6414693Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6414816Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6415297Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6415421Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6415868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6416008Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6416487Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6416672Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6417158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6417365Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6417851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6417983Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6417998Z 
2025-08-14T22:22:25.6418182Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6418582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6418693Z     return mod(**inputs)
2025-08-14T22:22:25.6419179Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6419322Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6419806Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6419939Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6420388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6420519Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6421003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6421152Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6421700Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6421917Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6422398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6422616Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6422639Z 
2025-08-14T22:22:25.6422842Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6423417Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6423539Z     return mod(**inputs)
2025-08-14T22:22:25.6424038Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6424180Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6424681Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6424805Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6425305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6425477Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6425974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6426142Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6426631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6426851Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6427343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6427478Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6427494Z 
2025-08-14T22:22:25.6427691Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6428093Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6428219Z     return mod(**inputs)
2025-08-14T22:22:25.6428749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6428879Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6429380Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6429504Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6429964Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6430111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6430609Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6430756Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6431250Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6431399Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6431896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6432026Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6432041Z 
2025-08-14T22:22:25.6432230Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6432641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6432753Z     return mod(**inputs)
2025-08-14T22:22:25.6433261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6433419Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6433916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6434050Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6434616Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6434866Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6435429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6435552Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6435992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6436120Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6436560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6436680Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6436694Z 
2025-08-14T22:22:25.6436892Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6437283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6437386Z     return mod(**inputs)
2025-08-14T22:22:25.6437826Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6437946Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6438386Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6438496Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6438913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6439032Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6439481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6439606Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6440071Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6440205Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6440641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6440768Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6440781Z 
2025-08-14T22:22:25.6440903Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6441023Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6441198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6441552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6441654Z     return mod(**inputs)
2025-08-14T22:22:25.6442109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6442226Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6442678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6442783Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6443191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6443316Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6443749Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6443876Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6444351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6444484Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6444936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6445056Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6445070Z 
2025-08-14T22:22:25.6445241Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6445602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6445700Z     return mod(**inputs)
2025-08-14T22:22:25.6446156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6446269Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6446708Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6446829Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6447235Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6447380Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6447851Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6447980Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6448426Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6448558Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6448992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6449120Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6449134Z 
2025-08-14T22:22:25.6449305Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6449665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6449775Z     return mod(**inputs)
2025-08-14T22:22:25.6450220Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6450376Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6450818Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6450928Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6451344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6451465Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6451913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6452040Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6452479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6452622Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6453060Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6453724Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6453742Z 
2025-08-14T22:22:25.6453959Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6454369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6454495Z     return mod(**inputs)
2025-08-14T22:22:25.6454985Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6455112Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6455680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6455805Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6456257Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6456406Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6456887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6457036Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6457516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6457662Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6458152Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6458283Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6458298Z 
2025-08-14T22:22:25.6458445Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6458614Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6458839Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6459235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6459343Z     return mod(**inputs)
2025-08-14T22:22:25.6459831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6459966Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6460452Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6460583Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6461027Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6461161Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6461652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6461847Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6462326Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6462479Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6463217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6463362Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6463378Z 
2025-08-14T22:22:25.6463569Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6463967Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6464092Z     return mod(**inputs)
2025-08-14T22:22:25.6464592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6464724Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6465241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6465366Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6465837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6465973Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6466465Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6466616Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6467108Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:22:25.6467396Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6467412Z 
2025-08-14T22:22:25.6467607Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6468011Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6468135Z     return mod(**inputs)
2025-08-14T22:22:25.6468640Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6468768Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6469329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6469460Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6475222Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6475593Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6476873Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6477393Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6478736Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6479279Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6480563Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6480909Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6480950Z 
2025-08-14T22:22:25.6481445Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6482464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6482752Z     return mod(**inputs)
2025-08-14T22:22:25.6484049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6484378Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6485680Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6486072Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6487264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6487394Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6487861Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6488017Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6488480Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6488691Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6489158Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6489291Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6489308Z 
2025-08-14T22:22:25.6489497Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6489874Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6489991Z     return mod(**inputs)
2025-08-14T22:22:25.6490583Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6490698Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6491150Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6491261Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6491698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6491831Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6492273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6492426Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6492862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6493052Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6493496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6493620Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6493634Z 
2025-08-14T22:22:25.6493805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6494169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6494268Z     return mod(**inputs)
2025-08-14T22:22:25.6494773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6494918Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6495364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6495486Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6495896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6496030Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6496471Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6496598Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6497050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6497181Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6497649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6497777Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6497791Z 
2025-08-14T22:22:25.6497961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6498323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6498422Z     return mod(**inputs)
2025-08-14T22:22:25.6498866Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6498990Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6499433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6499545Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6499967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6500096Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6500539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6500665Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6501102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6501238Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6501676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6501801Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6501843Z 
2025-08-14T22:22:25.6502013Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6502369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6502481Z     return mod(**inputs)
2025-08-14T22:22:25.6503173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6503309Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6503810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6503931Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6504568Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6504703Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6505203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6505352Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6505879Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6506057Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6506561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6506696Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6506711Z 
2025-08-14T22:22:25.6506857Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6506994Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6507185Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6507595Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6507707Z     return mod(**inputs)
2025-08-14T22:22:25.6508214Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6508349Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6508852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6509019Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6509482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6509620Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6510124Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6510268Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6510777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6510924Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6511424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6511569Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6511589Z 
2025-08-14T22:22:25.6511781Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6512181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6512301Z     return mod(**inputs)
2025-08-14T22:22:25.6512805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6512948Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6513443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6513566Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6514065Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6514205Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6514703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6514969Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6515448Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6515605Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6516084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6516215Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6516230Z 
2025-08-14T22:22:25.6516424Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6516811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6516931Z     return mod(**inputs)
2025-08-14T22:22:25.6517443Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6517612Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6518104Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6518223Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6518672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6518813Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6519292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6519439Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6519919Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6520064Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6520557Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6520713Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6520728Z 
2025-08-14T22:22:25.6520922Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6521309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6521418Z     return mod(**inputs)
2025-08-14T22:22:25.6521914Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6522037Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6522626Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6522756Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6523302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6523436Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6523874Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6524002Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6524450Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6524587Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6525025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6525152Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6525166Z 
2025-08-14T22:22:25.6525319Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6525454Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6525623Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6525984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6526100Z     return mod(**inputs)
2025-08-14T22:22:25.6526547Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6526661Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6527112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6527226Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6527644Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6527770Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6528212Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6528375Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6528870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6529017Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6529453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6529569Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6529583Z 
2025-08-14T22:22:25.6529762Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6530120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6530224Z     return mod(**inputs)
2025-08-14T22:22:25.6530676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6530789Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6531244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6531384Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6532056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6532420Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6532906Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6533059Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6533546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6533755Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6534246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6534382Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6534401Z 
2025-08-14T22:22:25.6534590Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6534990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6535103Z     return mod(**inputs)
2025-08-14T22:22:25.6535601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6535725Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6536208Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6536336Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6536887Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6537028Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6537519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6537677Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6538165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6538373Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6538852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6538996Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6539011Z 
2025-08-14T22:22:25.6539198Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6539597Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6539710Z     return mod(**inputs)
2025-08-14T22:22:25.6540223Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6540386Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6540870Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6540992Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6541446Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6541582Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6542069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6542220Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6542805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6543191Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6543686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6543864Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6543889Z 
2025-08-14T22:22:25.6544078Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6544479Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6544603Z     return mod(**inputs)
2025-08-14T22:22:25.6545103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6545234Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6545743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6545869Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6546347Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6546488Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6546986Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6547154Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6547652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 343, in forward
2025-08-14T22:22:25.6547886Z     hidden_states = hidden_states + self.dropout(forwarded_states)
2025-08-14T22:22:25.6547902Z 
2025-08-14T22:22:25.6548103Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6548505Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6548662Z     return mod(**inputs)
2025-08-14T22:22:25.6549170Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6549304Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6549817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6549942Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6550406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6550552Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6551048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6551201Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6551696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6551840Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6552374Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6552537Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6552553Z 
2025-08-14T22:22:25.6552755Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6553552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6553690Z     return mod(**inputs)
2025-08-14T22:22:25.6554209Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6554338Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6554840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6555087Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6555535Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6555685Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6556244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6556385Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6556876Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6557017Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6557498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6557634Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6557649Z 
2025-08-14T22:22:25.6557834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6558235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6558347Z     return mod(**inputs)
2025-08-14T22:22:25.6558831Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6558976Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6559459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6559590Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6560037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6560169Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6560658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6560837Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6561321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6561472Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6561956Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6562097Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6562112Z 
2025-08-14T22:22:25.6562251Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6562388Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6562583Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6562972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6563081Z     return mod(**inputs)
2025-08-14T22:22:25.6563577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6563702Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6564244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6564401Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6564852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6564993Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6565593Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6565731Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6566168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6566297Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6566745Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6566861Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6566875Z 
2025-08-14T22:22:25.6567050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6567444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6567545Z     return mod(**inputs)
2025-08-14T22:22:25.6568000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6568113Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6568555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6568671Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6569080Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6569205Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6569660Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6569791Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6570241Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6570375Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6570812Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6570939Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6570953Z 
2025-08-14T22:22:25.6571123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6571485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6571586Z     return mod(**inputs)
2025-08-14T22:22:25.6572056Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6572182Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6572627Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6572743Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6573160Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6573283Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6573734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6573862Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6574539Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6574682Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6575154Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6575309Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6575334Z 
2025-08-14T22:22:25.6575505Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6575863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6575977Z     return mod(**inputs)
2025-08-14T22:22:25.6576421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6576539Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6576992Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6577104Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6577529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6577652Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6578096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6578267Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6578706Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6578841Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6579288Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6579408Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6579422Z 
2025-08-14T22:22:25.6579558Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6579678Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6579850Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6580214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6580318Z     return mod(**inputs)
2025-08-14T22:22:25.6580766Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6580888Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6581332Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6581452Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6581862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6581983Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6582457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6582644Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6583285Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6583453Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6583949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6584090Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6584105Z 
2025-08-14T22:22:25.6584299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6584834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6584956Z     return mod(**inputs)
2025-08-14T22:22:25.6585453Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6585594Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6586092Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6586253Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6586757Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6586896Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6587390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6587557Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6588051Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6588274Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6588768Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6588906Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6588922Z 
2025-08-14T22:22:25.6589128Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6589565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6589690Z     return mod(**inputs)
2025-08-14T22:22:25.6590186Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6590314Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6590822Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6590944Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6591406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6591555Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6592050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6592221Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6592719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6592935Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6593439Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6593579Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6593595Z 
2025-08-14T22:22:25.6593804Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6594235Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6594399Z     return mod(**inputs)
2025-08-14T22:22:25.6595042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6595177Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6595804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6595926Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6596375Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6596516Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6596994Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6597157Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6597638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6597847Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6598369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6598534Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6598550Z 
2025-08-14T22:22:25.6598747Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6599136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6599247Z     return mod(**inputs)
2025-08-14T22:22:25.6599742Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6599872Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6600353Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6600483Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6600933Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6601083Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6601570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6601736Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6602228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6602368Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6602844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6602984Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6602999Z 
2025-08-14T22:22:25.6603186Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6603586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6603700Z     return mod(**inputs)
2025-08-14T22:22:25.6604188Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6604327Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6604807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6604936Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6605392Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6605523Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6606007Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6606145Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6606665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6606821Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6607302Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6607442Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6607457Z 
2025-08-14T22:22:25.6607647Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6608031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6608154Z     return mod(**inputs)
2025-08-14T22:22:25.6608636Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6608760Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6609254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6609374Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6609857Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6610021Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6610499Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6610646Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6611227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6611370Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6611834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6611957Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6611972Z 
2025-08-14T22:22:25.6612114Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6612243Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6612423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6612840Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6612944Z     return mod(**inputs)
2025-08-14T22:22:25.6613538Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6613656Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6614096Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6614215Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6614623Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6614747Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6615194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6615319Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6615767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6615896Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6616331Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6616453Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6616466Z 
2025-08-14T22:22:25.6616634Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6616998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6617101Z     return mod(**inputs)
2025-08-14T22:22:25.6617569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6617694Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6618138Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6618252Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6618670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6618790Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6619244Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6619372Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6619808Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 609, in forward
2025-08-14T22:22:25.6620038Z     hidden_states = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6620052Z 
2025-08-14T22:22:25.6620222Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6620604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6620749Z     return mod(**inputs)
2025-08-14T22:22:25.6621193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6621318Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6621762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6621869Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6622292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6622414Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6623105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6623256Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6623775Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6623975Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6624470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6624606Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6624621Z 
2025-08-14T22:22:25.6624826Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6625226Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6625352Z     return mod(**inputs)
2025-08-14T22:22:25.6625855Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6625984Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6626496Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6626622Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6627086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6627235Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6627727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6627880Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6628372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6628521Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6629052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6629183Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6629202Z 
2025-08-14T22:22:25.6629405Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6629810Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6629920Z     return mod(**inputs)
2025-08-14T22:22:25.6630429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6630555Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6631049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6631183Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6631642Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6631791Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6632313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6632486Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6632990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6633137Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6633629Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6633777Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6633793Z 
2025-08-14T22:22:25.6633931Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6634081Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6634274Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6634677Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6634910Z     return mod(**inputs)
2025-08-14T22:22:25.6635510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6635663Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6636107Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6636215Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6636634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6636755Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6637191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6637330Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6637765Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6637909Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6638351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6638466Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6638480Z 
2025-08-14T22:22:25.6638660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6639014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6639116Z     return mod(**inputs)
2025-08-14T22:22:25.6639569Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6639685Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6640164Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6640273Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6640687Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6640824Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6641261Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6641406Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6641844Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6642035Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6642483Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6642607Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6642621Z 
2025-08-14T22:22:25.6642792Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6643185Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6643313Z     return mod(**inputs)
2025-08-14T22:22:25.6643769Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6643883Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6644323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6644443Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6644850Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6644971Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6645421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6645560Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6646006Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6646233Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6646670Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6646805Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6646819Z 
2025-08-14T22:22:25.6646986Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6647349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6647454Z     return mod(**inputs)
2025-08-14T22:22:25.6647898Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6648020Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6648462Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6648576Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6648997Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6649120Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6649567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6649706Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6650146Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6650345Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6650810Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6650941Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6650957Z 
2025-08-14T22:22:25.6651132Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6651488Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6651598Z     return mod(**inputs)
2025-08-14T22:22:25.6652045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6652158Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6652614Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6652723Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6653488Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6653797Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6654357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6654549Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6655028Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6655169Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6655658Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6655784Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6655799Z 
2025-08-14T22:22:25.6655997Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6656387Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6656501Z     return mod(**inputs)
2025-08-14T22:22:25.6657069Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6661959Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6662528Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6662756Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6663379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6663525Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6664025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6664166Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6664672Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6664817Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6665321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6665459Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6665475Z 
2025-08-14T22:22:25.6665667Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6666077Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6666191Z     return mod(**inputs)
2025-08-14T22:22:25.6666691Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6666832Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6667328Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6667509Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6667974Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6668111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6668617Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6668756Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6669254Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6669398Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6669891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6670031Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6670046Z 
2025-08-14T22:22:25.6670183Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6670322Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6670523Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6670953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6671105Z     return mod(**inputs)
2025-08-14T22:22:25.6671606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6671732Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6672238Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6672360Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6672817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6672961Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6673456Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 681, in forward
2025-08-14T22:22:25.6673606Z     self_attention_outputs = self.layer[0](
2025-08-14T22:22:25.6674406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 599, in forward
2025-08-14T22:22:25.6674590Z     attention_output = self.SelfAttention(
2025-08-14T22:22:25.6675084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6675209Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6675225Z 
2025-08-14T22:22:25.6675423Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6675811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6675921Z     return mod(**inputs)
2025-08-14T22:22:25.6676416Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6676545Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6677133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6677264Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6677695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6677955Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6678394Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6678521Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6678966Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6679098Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6679565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 490, in forward
2025-08-14T22:22:25.6679696Z     query_states = self.q(hidden_states)
2025-08-14T22:22:25.6679711Z 
2025-08-14T22:22:25.6679884Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6680256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6680359Z     return mod(**inputs)
2025-08-14T22:22:25.6680803Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6680929Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6681372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6681481Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6681900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6682022Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6682470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6682628Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6683097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6683245Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6683682Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 510, in forward
2025-08-14T22:22:25.6683809Z     key_states = self.k(current_states)
2025-08-14T22:22:25.6683823Z 
2025-08-14T22:22:25.6683996Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6684349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6684460Z     return mod(**inputs)
2025-08-14T22:22:25.6684908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6685024Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6685481Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6685617Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6686034Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6686157Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6686595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6686733Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6687168Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6687305Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6687756Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 511, in forward
2025-08-14T22:22:25.6687874Z     value_states = self.v(current_states)
2025-08-14T22:22:25.6687892Z 
2025-08-14T22:22:25.6688027Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6688150Z cudagraph partition due to non gpu ops
2025-08-14T22:22:25.6688320Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6688687Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6688785Z     return mod(**inputs)
2025-08-14T22:22:25.6689242Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6689358Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6689827Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6689946Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6690357Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6690489Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6690939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6691066Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6691514Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 635, in forward
2025-08-14T22:22:25.6691646Z     attention_output = self.EncDecAttention(
2025-08-14T22:22:25.6692078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 569, in forward
2025-08-14T22:22:25.6692201Z     attn_output = self.o(attn_output)
2025-08-14T22:22:25.6692215Z 
2025-08-14T22:22:25.6692385Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6692738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6692875Z     return mod(**inputs)
2025-08-14T22:22:25.6693358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6693483Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6693924Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6694031Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6694454Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6694574Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6695025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 705, in forward
2025-08-14T22:22:25.6695154Z     cross_attention_outputs = self.layer[1](
2025-08-14T22:22:25.6695589Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 647, in forward
2025-08-14T22:22:25.6695842Z     layer_output = hidden_states + self.dropout(attention_output[0])
2025-08-14T22:22:25.6695857Z 
2025-08-14T22:22:25.6696026Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6696380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6696493Z     return mod(**inputs)
2025-08-14T22:22:25.6696936Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6697063Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6697504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6697619Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6698036Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6698161Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6698606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6698758Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6699191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6699391Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6699828Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 287, in forward
2025-08-14T22:22:25.6699950Z     hidden_states = self.wi(hidden_states)
2025-08-14T22:22:25.6699964Z 
2025-08-14T22:22:25.6700170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6700525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6700636Z     return mod(**inputs)
2025-08-14T22:22:25.6701083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6701200Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6701653Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6701763Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6702173Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6702307Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6702821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6703151Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6703685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6703932Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6704440Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 288, in forward
2025-08-14T22:22:25.6704584Z     hidden_states = self.act(hidden_states)
2025-08-14T22:22:25.6704599Z 
2025-08-14T22:22:25.6704805Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6705206Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6705326Z     return mod(**inputs)
2025-08-14T22:22:25.6705841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1762, in forward
2025-08-14T22:22:25.6705973Z     decoder_outputs = self.decoder(
2025-08-14T22:22:25.6706479Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1092, in forward
2025-08-14T22:22:25.6706619Z     layer_outputs = layer_module(
2025-08-14T22:22:25.6707087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:22:25.6707263Z     return super().__call__(*args, **kwargs)
2025-08-14T22:22:25.6707759Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 731, in forward
2025-08-14T22:22:25.6707919Z     hidden_states = self.layer[-1](hidden_states)
2025-08-14T22:22:25.6708418Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 342, in forward
2025-08-14T22:22:25.6708633Z     forwarded_states = self.DenseReluDense(forwarded_states)
2025-08-14T22:22:25.6709132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 296, in forward
2025-08-14T22:22:25.6709282Z     hidden_states = self.wo(hidden_states)
2025-08-14T22:22:25.6709297Z 
2025-08-14T22:22:25.6709494Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:22:25.6709906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass
2025-08-14T22:22:25.6710024Z     return mod(**inputs)
2025-08-14T22:22:25.6710526Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/t5/modeling_t5.py", line 1791, in forward
2025-08-14T22:22:25.6710684Z     lm_logits = self.lm_head(sequence_output)
2025-08-14T22:22:25.6710699Z 
2025-08-14T22:22:48.7865700Z Compilation time (from dynamo_timed): 41.389595018
2025-08-14T22:22:48.7867807Z pass
2025-08-14T22:22:48.7869984Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:22:48.7880361Z TIMING: _recursive_pre_grad_passes:0.15933 _recursive_joint_graph_passes:1.68911 _recursive_post_grad_passes:0.17354 async_compile.wait:0.87601 code_gen:10.27407 inductor_compile:15.83503 backend_compile:32.57654 gc:0.00014 entire_frame_compile:41.3896 total_wall_time:41.3896
2025-08-14T22:22:48.7882250Z STATS: call_* op count: 1514 | FakeTensorMode.__torch_dispatch__:58538 | FakeTensor.__torch_dispatch__:7309 | ProxyTorchDispatchMode.__torch_dispatch__:17400
2025-08-14T22:22:48.7883281Z Dynamo produced 1 graphs covering 1514 ops with 0 graph breaks (0 unique)
2025-08-14T22:22:54.7061176Z 
2025-08-14T22:22:55.7908305Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:22:55.7908652Z 
2025-08-14T22:22:55.7994272Z config.json:   0% 0.00/1.21k [00:00<?, ?B/s]
2025-08-14T22:22:55.7994773Z config.json: 100% 1.21k/1.21k [00:00<00:00, 159kB/s]
2025-08-14T22:23:13.7693471Z 
2025-08-14T22:23:13.7693916Z loading model: 0it [00:19, ?it/s]
2025-08-14T22:23:13.7760466Z cpu  eval  hf_T5_large                        
2025-08-14T22:23:14.0441266Z Compilation time (from dynamo_timed): 0
2025-08-14T22:23:14.0441860Z pass_due_to_skip
2025-08-14T22:23:14.0442801Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:23:14.0443516Z TIMING: total_wall_time:0
2025-08-14T22:23:14.0444036Z STATS: call_* op count: 0
2025-08-14T22:23:14.0444596Z Dynamo produced 0 graphs covering 0 ops with 0 graph breaks (0 unique)
2025-08-14T22:23:18.9317728Z 
2025-08-14T22:23:19.9632404Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:23:19.9635728Z 
2025-08-14T22:23:19.9638460Z config.json: 0.00B [00:00, ?B/s]
2025-08-14T22:23:19.9638875Z config.json: 2.26kB [00:00, 13.7MB/s]
2025-08-14T22:23:30.9502496Z 
2025-08-14T22:23:30.9503044Z loading model: 0it [00:12, ?it/s]
2025-08-14T22:23:30.9539019Z cpu  eval  hf_distil_whisper                  
2025-08-14T22:23:49.1318777Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:23:57.7895866Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:24:06.4424112Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:24:33.2672982Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2673797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2675145Z     return mod(*inputs)
2025-08-14T22:24:33.2676437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2677757Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2678802Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-14T22:24:33.2679820Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-14T22:24:33.2680184Z 
2025-08-14T22:24:33.2680435Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2681273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2682012Z     return mod(*inputs)
2025-08-14T22:24:33.2682782Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2683739Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2684686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 677, in forward
2025-08-14T22:24:33.2685603Z     inputs_embeds = nn.functional.gelu(self.conv1(input_features))
2025-08-14T22:24:33.2686073Z 
2025-08-14T22:24:33.2686282Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2687068Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2687771Z     return mod(*inputs)
2025-08-14T22:24:33.2690054Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2691058Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2691910Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 678, in forward
2025-08-14T22:24:33.2693026Z     inputs_embeds = nn.functional.gelu(self.conv2(inputs_embeds))
2025-08-14T22:24:33.2693383Z 
2025-08-14T22:24:33.2693553Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2694170Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2694869Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2695677Z     return mod(*inputs)
2025-08-14T22:24:33.2696530Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2697338Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2698293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2699197Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2700049Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2700960Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2701900Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2703384Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2704243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.2705269Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.2705737Z 
2025-08-14T22:24:33.2705885Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2706355Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2706818Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2707212Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2707611Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2708189Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2709016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2709752Z     return mod(*inputs)
2025-08-14T22:24:33.2710647Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2711474Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2712400Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2713353Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2714153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2715015Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2715938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2716899Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2717837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2718729Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2719741Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.2720834Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.2721201Z 
2025-08-14T22:24:33.2721461Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2722250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2723021Z     return mod(*inputs)
2025-08-14T22:24:33.2739734Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2740804Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2741725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2742694Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2743567Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2744532Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2745455Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2746451Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2747432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2748608Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2749728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.2750740Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.2751231Z 
2025-08-14T22:24:33.2751386Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2751794Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2752331Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2753111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2754303Z     return mod(*inputs)
2025-08-14T22:24:33.2755211Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2756313Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2757097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2758168Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2758969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2759753Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2760729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.2761703Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.2762546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.2763376Z     return self.act(input)
2025-08-14T22:24:33.2763600Z 
2025-08-14T22:24:33.2763746Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2764192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2765071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2765873Z     return mod(*inputs)
2025-08-14T22:24:33.2766622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2767435Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2768215Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2769019Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2769707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2770437Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2771315Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 425, in forward
2025-08-14T22:24:33.2772148Z     hidden_states = residual + hidden_states
2025-08-14T22:24:33.2772420Z 
2025-08-14T22:24:33.2772578Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2773006Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2773712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2774418Z     return mod(*inputs)
2025-08-14T22:24:33.2775189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2776116Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2777000Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2777874Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2778650Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2779504Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2780529Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2781472Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2782361Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.2783546Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.2784294Z 
2025-08-14T22:24:33.2784444Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2784856Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2785321Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2785749Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2786491Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2787003Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2787742Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2788620Z     return mod(*inputs)
2025-08-14T22:24:33.2789513Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2790581Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2791501Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2792456Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2793274Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2794025Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2795100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2796100Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2796927Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2797946Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2799014Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.2800094Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.2800461Z 
2025-08-14T22:24:33.2800655Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2801466Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2802193Z     return mod(*inputs)
2025-08-14T22:24:33.2803048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2804038Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2804847Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2805776Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2806606Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2807338Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2808243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2809246Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2810116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2811083Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2812192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.2813260Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.2813599Z 
2025-08-14T22:24:33.2813747Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2814250Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2814701Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2815496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2816138Z     return mod(*inputs)
2025-08-14T22:24:33.2817001Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2817895Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2818678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2819487Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2820213Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2820924Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2821778Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.2822742Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.2823521Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.2824365Z     return self.act(input)
2025-08-14T22:24:33.2824592Z 
2025-08-14T22:24:33.2824736Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2825144Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2825581Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2826314Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2826972Z     return mod(*inputs)
2025-08-14T22:24:33.2827809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2828743Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2829561Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2830386Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2831082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2831833Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2832713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2833577Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2834421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.2835442Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.2836009Z 
2025-08-14T22:24:33.2836164Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2836543Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2836930Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2837312Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2837697Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2838123Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2838836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2839477Z     return mod(*inputs)
2025-08-14T22:24:33.2840243Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2841125Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2841913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2842711Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2843387Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2844111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2844913Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2845735Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2846565Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2847412Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2848314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.2849303Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.2849680Z 
2025-08-14T22:24:33.2849871Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2850572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2851209Z     return mod(*inputs)
2025-08-14T22:24:33.2851939Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2852756Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2853996Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2854794Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2855491Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2856220Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2857025Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2857844Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2858676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2859522Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2860419Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.2861399Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.2861735Z 
2025-08-14T22:24:33.2861880Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2862276Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2862788Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2863681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2864340Z     return mod(*inputs)
2025-08-14T22:24:33.2865105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2865929Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2866743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2867570Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2868267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2869011Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2869902Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.2870863Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.2871648Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.2872358Z     return self.act(input)
2025-08-14T22:24:33.2872568Z 
2025-08-14T22:24:33.2872729Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2873119Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2873570Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2874410Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2875039Z     return mod(*inputs)
2025-08-14T22:24:33.2875784Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2876598Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2877433Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2878225Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2878915Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2879636Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2880444Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2881265Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2882102Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.2883096Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.2883539Z 
2025-08-14T22:24:33.2883690Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2884087Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2884472Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2884857Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2885226Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2885662Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2886367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2886994Z     return mod(*inputs)
2025-08-14T22:24:33.2887735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2888543Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2889354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2890223Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2896234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2896959Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2897758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2898599Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2899432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2900279Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2901165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.2902130Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.2902494Z 
2025-08-14T22:24:33.2902834Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2903787Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2904430Z     return mod(*inputs)
2025-08-14T22:24:33.2905196Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2906036Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2906834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2907661Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2908368Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2909108Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2909928Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2910823Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2911685Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2912544Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2913470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.2914528Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.2915068Z 
2025-08-14T22:24:33.2915211Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2915559Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2915964Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2916609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2917195Z     return mod(*inputs)
2025-08-14T22:24:33.2917868Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2918610Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2919327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2920049Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2920679Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2921342Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2922114Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.2922921Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.2923632Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.2924257Z     return self.act(input)
2025-08-14T22:24:33.2924443Z 
2025-08-14T22:24:33.2924570Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2924929Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2925333Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2925984Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2926556Z     return mod(*inputs)
2025-08-14T22:24:33.2927234Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2927978Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2928688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2929423Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2930076Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2930769Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2931493Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2932256Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2933017Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.2933921Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.2934323Z 
2025-08-14T22:24:33.2934452Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2934814Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2935166Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2935507Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2935858Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2936293Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2936927Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2937511Z     return mod(*inputs)
2025-08-14T22:24:33.2938192Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2938936Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2939840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2940616Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2941287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2941977Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2942842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2943867Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2944725Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2945581Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2946507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.2947510Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.2947885Z 
2025-08-14T22:24:33.2948097Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2948848Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2949507Z     return mod(*inputs)
2025-08-14T22:24:33.2950276Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2951109Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2951917Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2952818Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2958698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2959416Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2960232Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2961079Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2962005Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2962886Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2963792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.2964724Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.2965039Z 
2025-08-14T22:24:33.2965196Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2965573Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2966005Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2966712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2967335Z     return mod(*inputs)
2025-08-14T22:24:33.2968087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2968901Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2969676Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2970703Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2971334Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2971998Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2972729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.2973545Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.2974424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.2975085Z     return self.act(input)
2025-08-14T22:24:33.2975282Z 
2025-08-14T22:24:33.2975416Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2975792Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2976221Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2976891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2977508Z     return mod(*inputs)
2025-08-14T22:24:33.2978227Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2979011Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2979760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2980542Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2981246Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2981938Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2982809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2983833Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2984695Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.2985693Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.2986162Z 
2025-08-14T22:24:33.2986306Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2986709Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2987090Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2987485Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2987875Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.2988328Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.2989045Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.2989741Z     return mod(*inputs)
2025-08-14T22:24:33.2990540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.2991363Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.2992175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.2993002Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.2993713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.2994557Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.2995573Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.2996336Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.2997083Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.2997902Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.2998727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.2999618Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.2999952Z 
2025-08-14T22:24:33.3000127Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3000775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3001362Z     return mod(*inputs)
2025-08-14T22:24:33.3002048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3002782Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3003506Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3004244Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3004858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3005522Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3006264Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3007030Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3007777Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3008552Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3009405Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3010256Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3010550Z 
2025-08-14T22:24:33.3010680Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3011048Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3011456Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3012107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3012680Z     return mod(*inputs)
2025-08-14T22:24:33.3013364Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3014111Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3015026Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3016207Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3016959Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3017720Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3018516Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3019413Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3020191Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3020874Z     return self.act(input)
2025-08-14T22:24:33.3021080Z 
2025-08-14T22:24:33.3021222Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3021619Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3022066Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3022861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3023670Z     return mod(*inputs)
2025-08-14T22:24:33.3024441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3025318Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3026118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3026948Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3027662Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3028402Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3029218Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3030081Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3030937Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3031939Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3032408Z 
2025-08-14T22:24:33.3032552Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3032950Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3033348Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3033728Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3034118Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3034771Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3035538Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3036128Z     return mod(*inputs)
2025-08-14T22:24:33.3036838Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3037583Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3038293Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3039033Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3039663Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3040311Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3041050Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3041816Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3042578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3043534Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3044437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3045408Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3045763Z 
2025-08-14T22:24:33.3045961Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3046632Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3047246Z     return mod(*inputs)
2025-08-14T22:24:33.3047967Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3048739Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3049500Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3050276Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3050946Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3051633Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3052449Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3053785Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3054631Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3055467Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3056369Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3057294Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3057611Z 
2025-08-14T22:24:33.3057756Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3058147Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3058588Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3059298Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3059924Z     return mod(*inputs)
2025-08-14T22:24:33.3060664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3061474Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3062248Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3063309Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3064021Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3064836Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3065656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3066580Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3067379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3068065Z     return self.act(input)
2025-08-14T22:24:33.3068293Z 
2025-08-14T22:24:33.3068438Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3068846Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3069299Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3070015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3070671Z     return mod(*inputs)
2025-08-14T22:24:33.3071434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3072258Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3073112Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3073981Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3074886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3075574Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3076354Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3077167Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3078376Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3079357Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3079816Z 
2025-08-14T22:24:33.3079960Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3080358Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3080737Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3081176Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3081564Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3082004Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3082696Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3083335Z     return mod(*inputs)
2025-08-14T22:24:33.3084078Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3084883Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3085678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3086486Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3087177Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3087893Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3088702Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3089541Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3090356Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3091206Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3092109Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3093114Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3093481Z 
2025-08-14T22:24:33.3093673Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3094376Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3095107Z     return mod(*inputs)
2025-08-14T22:24:33.3095807Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3096570Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3097431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3098148Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3098753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3099402Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3100126Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3100914Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3101683Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3102446Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3103577Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3104672Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3104993Z 
2025-08-14T22:24:33.3105133Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3105521Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3105954Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3106664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3107314Z     return mod(*inputs)
2025-08-14T22:24:33.3108072Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3108930Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3109720Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3110528Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3111217Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3111932Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3112743Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3113650Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3114434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3115213Z     return self.act(input)
2025-08-14T22:24:33.3115526Z 
2025-08-14T22:24:33.3115666Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3116036Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3116442Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3117112Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3117714Z     return mod(*inputs)
2025-08-14T22:24:33.3118411Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3119179Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3119931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3120736Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3121381Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3122066Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3122837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3123638Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3124429Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3125370Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3125805Z 
2025-08-14T22:24:33.3125940Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3126310Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3126662Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3127020Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3127380Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3127920Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3128580Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3129157Z     return mod(*inputs)
2025-08-14T22:24:33.3129816Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3130546Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3131258Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3131983Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3132597Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3133245Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3133970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3134725Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3135497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3136256Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3137066Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3137934Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3138271Z 
2025-08-14T22:24:33.3138444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3139074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3139647Z     return mod(*inputs)
2025-08-14T22:24:33.3145931Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3146778Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3147600Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3148426Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3149123Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3149865Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3150703Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3151552Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3152459Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3153753Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3154694Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3155734Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3156068Z 
2025-08-14T22:24:33.3156212Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3156608Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3157035Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3157744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3158388Z     return mod(*inputs)
2025-08-14T22:24:33.3159133Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3159936Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3160728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3161607Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3162327Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3163048Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3163858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3164751Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3165509Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3166194Z     return self.act(input)
2025-08-14T22:24:33.3166398Z 
2025-08-14T22:24:33.3166552Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3166951Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3167377Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3168078Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3168863Z     return mod(*inputs)
2025-08-14T22:24:33.3169667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3170411Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3171132Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3171864Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3172482Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3173140Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3173886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3174833Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3175641Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3176597Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3177023Z 
2025-08-14T22:24:33.3177173Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3177541Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3177917Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3178289Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3178646Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3179068Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3179800Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3180423Z     return mod(*inputs)
2025-08-14T22:24:33.3181131Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3181920Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3182767Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3183724Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3184595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3185340Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3186175Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3187027Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3187895Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3188801Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3189760Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3190746Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3191134Z 
2025-08-14T22:24:33.3191329Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3192056Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3192700Z     return mod(*inputs)
2025-08-14T22:24:33.3193463Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3194414Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3195301Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3196175Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3196809Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3197501Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3198228Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3198993Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3199752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3200527Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3201339Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3202184Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3208118Z 
2025-08-14T22:24:33.3208515Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3209534Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3210638Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3212467Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3213767Z     return mod(*inputs)
2025-08-14T22:24:33.3214497Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3215309Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3216100Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3216905Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3217630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3218358Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3219167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3220048Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3220894Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3221521Z     return self.act(input)
2025-08-14T22:24:33.3221707Z 
2025-08-14T22:24:33.3221846Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3222192Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3222661Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3223544Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3224341Z     return mod(*inputs)
2025-08-14T22:24:33.3225106Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3226015Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3226836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3227654Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3228366Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3229111Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3229944Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3230797Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3231656Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3232666Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3233127Z 
2025-08-14T22:24:33.3233325Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3233728Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3234130Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3234529Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3235014Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3235444Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3236241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3236811Z     return mod(*inputs)
2025-08-14T22:24:33.3237498Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3238247Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3238971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3239693Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3240329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3240994Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3241721Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3242489Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3243253Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3244029Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3244864Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3245748Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3246083Z 
2025-08-14T22:24:33.3246273Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3246915Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3247485Z     return mod(*inputs)
2025-08-14T22:24:33.3248167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3248912Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3249620Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3250349Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3250980Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3251640Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3252398Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3253728Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3254578Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3255413Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3256311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3257237Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3257553Z 
2025-08-14T22:24:33.3257708Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3258084Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3258530Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3259234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3259875Z     return mod(*inputs)
2025-08-14T22:24:33.3260684Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3261498Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3262287Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3263340Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3264055Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3264802Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3265798Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3266708Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3267507Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3268215Z     return self.act(input)
2025-08-14T22:24:33.3268430Z 
2025-08-14T22:24:33.3268576Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3268978Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3281232Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3281951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3282585Z     return mod(*inputs)
2025-08-14T22:24:33.3283323Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3284109Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3285095Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3285975Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3286596Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3287260Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3287991Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3288741Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3289494Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3290374Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3290772Z 
2025-08-14T22:24:33.3290902Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3291239Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3291574Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3291953Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3292327Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3292718Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3293355Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3293932Z     return mod(*inputs)
2025-08-14T22:24:33.3294595Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3295328Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3296037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3296743Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3297363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3298010Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3298735Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3299517Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3300266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3301031Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3301837Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3302816Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3303347Z 
2025-08-14T22:24:33.3303545Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3304258Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3304895Z     return mod(*inputs)
2025-08-14T22:24:33.3305649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3306476Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3307273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3308074Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3308762Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3309493Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3310310Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3311192Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3312040Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3312901Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3313805Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3314743Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3315167Z 
2025-08-14T22:24:33.3315421Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3315899Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3316283Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3316914Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3317490Z     return mod(*inputs)
2025-08-14T22:24:33.3318151Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3318884Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3319625Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3320377Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3320990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3321645Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3322372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3323170Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3323862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3324472Z     return self.act(input)
2025-08-14T22:24:33.3324659Z 
2025-08-14T22:24:33.3324791Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3325135Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3325561Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3326197Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3326763Z     return mod(*inputs)
2025-08-14T22:24:33.3327841Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3328816Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3329592Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3330370Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3331048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3331753Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3332537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3333364Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3334194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3335161Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3335597Z 
2025-08-14T22:24:33.3335732Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3336105Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3336476Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3336844Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3337206Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3337668Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3338360Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3338975Z     return mod(*inputs)
2025-08-14T22:24:33.3339710Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3340512Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3341272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3342059Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3342820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3343724Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3344537Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3345387Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3346266Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3347177Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3348087Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3349072Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3349446Z 
2025-08-14T22:24:33.3349652Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3350358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3350999Z     return mod(*inputs)
2025-08-14T22:24:33.3351751Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3352580Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3353824Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3354728Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3355520Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3356229Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3357008Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3357834Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3358649Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3359479Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3360363Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3361276Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3361593Z 
2025-08-14T22:24:33.3361740Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3362103Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3362531Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3363219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3363834Z     return mod(*inputs)
2025-08-14T22:24:33.3364560Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3365359Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3366240Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3366961Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3367580Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3368230Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3368955Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3369745Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3370434Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3371046Z     return self.act(input)
2025-08-14T22:24:33.3371231Z 
2025-08-14T22:24:33.3371356Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3371700Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3372094Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3372725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3373288Z     return mod(*inputs)
2025-08-14T22:24:33.3373989Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3374956Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3375697Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3376462Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3377110Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3377795Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3378554Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3379356Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3380162Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3381128Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3381561Z 
2025-08-14T22:24:33.3381694Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3382065Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3382425Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3382858Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3383398Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3383827Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3384691Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3385338Z     return mod(*inputs)
2025-08-14T22:24:33.3386098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3386920Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3387711Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3388529Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3389219Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3390010Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3395612Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3396568Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3397397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3398275Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3399169Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3400129Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3400489Z 
2025-08-14T22:24:33.3400687Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3401370Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3402002Z     return mod(*inputs)
2025-08-14T22:24:33.3402729Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3403515Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3404292Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3405078Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3405780Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3406614Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3407388Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3408187Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3408983Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3409784Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3410770Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3411605Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3411894Z 
2025-08-14T22:24:33.3412020Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3412368Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3412761Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3413422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3413985Z     return mod(*inputs)
2025-08-14T22:24:33.3414652Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3415380Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3416081Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3416809Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3417430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3418080Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3418801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3419615Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3420311Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3420919Z     return self.act(input)
2025-08-14T22:24:33.3421103Z 
2025-08-14T22:24:33.3421230Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3421577Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3421966Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3422674Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3423447Z     return mod(*inputs)
2025-08-14T22:24:33.3424382Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3425210Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3426003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3426818Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3427510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3428232Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3429048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3429888Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3430727Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3431720Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3432178Z 
2025-08-14T22:24:33.3432322Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3432739Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3433156Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3433534Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3433911Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3434341Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3435154Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3435871Z     return mod(*inputs)
2025-08-14T22:24:33.3436664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3437384Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3438094Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3438811Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3439423Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3440096Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3440820Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3441569Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3442313Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3443062Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3443871Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3444750Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3445080Z 
2025-08-14T22:24:33.3445247Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3445879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3446451Z     return mod(*inputs)
2025-08-14T22:24:33.3447118Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3447845Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3448548Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3449274Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3449889Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3450531Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3451284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3452040Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3459852Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3462090Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3464605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3465762Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3466086Z 
2025-08-14T22:24:33.3466230Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3466619Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3467063Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3467773Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3468416Z     return mod(*inputs)
2025-08-14T22:24:33.3469273Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3470151Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3470950Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3471767Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3472468Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3473201Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3474015Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3475116Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3475858Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3476502Z     return self.act(input)
2025-08-14T22:24:33.3476751Z 
2025-08-14T22:24:33.3476882Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3477247Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3477660Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3478322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3478930Z     return mod(*inputs)
2025-08-14T22:24:33.3479638Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3480409Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3481167Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3481938Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3482591Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3483273Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3484047Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3484849Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3485758Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3486654Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3487059Z 
2025-08-14T22:24:33.3487187Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3487538Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3487874Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3488253Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3488374Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3488553Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3488919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3489021Z     return mod(*inputs)
2025-08-14T22:24:33.3489540Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3489655Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3490163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3490279Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3490696Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3490831Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3491360Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3491536Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3492035Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3492190Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3492753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3492969Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3492983Z 
2025-08-14T22:24:33.3493162Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3493523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3493627Z     return mod(*inputs)
2025-08-14T22:24:33.3494144Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3494289Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3494790Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3494911Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3495320Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3495454Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3495949Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3496090Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3496594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3496748Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3497305Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3497491Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3497505Z 
2025-08-14T22:24:33.3497628Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3497760Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3497928Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3498286Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3498394Z     return mod(*inputs)
2025-08-14T22:24:33.3498897Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3499051Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3499556Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3499672Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3500097Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3500221Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3500719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3500923Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3501314Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3501430Z     return self.act(input)
2025-08-14T22:24:33.3501444Z 
2025-08-14T22:24:33.3501571Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3501695Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3501873Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3502260Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3502387Z     return mod(*inputs)
2025-08-14T22:24:33.3503153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3503283Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3503842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3503967Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3504594Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3504751Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3505316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3505486Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3506085Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3506398Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3506414Z 
2025-08-14T22:24:33.3506563Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3506703Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3506838Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3506983Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3507117Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3507317Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3507724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3507838Z     return mod(*inputs)
2025-08-14T22:24:33.3508420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3508554Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3509116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3509251Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3509713Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3509858Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3510420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3510579Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3511176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3511351Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3511976Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3512220Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3512236Z 
2025-08-14T22:24:33.3512428Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3512834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3512950Z     return mod(*inputs)
2025-08-14T22:24:33.3513519Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3513653Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3514216Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3514380Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3514926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3515080Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3515753Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3515916Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3516570Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3516747Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3517355Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3517555Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3517571Z 
2025-08-14T22:24:33.3517708Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3517881Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3518075Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3518468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3518588Z     return mod(*inputs)
2025-08-14T22:24:33.3519141Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3519267Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3519817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3519938Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3520390Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3520537Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3521082Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3521301Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3521728Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3521840Z     return self.act(input)
2025-08-14T22:24:33.3521856Z 
2025-08-14T22:24:33.3521999Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3522130Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3522313Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3522713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3522862Z     return mod(*inputs)
2025-08-14T22:24:33.3523420Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3523547Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3524086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3524215Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3524661Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3524803Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3525346Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3525501Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3526052Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3526387Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3526433Z 
2025-08-14T22:24:33.3526568Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3526711Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3526845Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3526982Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3527111Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3527298Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3527695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3527805Z     return mod(*inputs)
2025-08-14T22:24:33.3528358Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3528492Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3529037Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3529171Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3529655Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3529791Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3530344Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3530500Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3531039Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3531214Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3531821Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3532067Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3532086Z 
2025-08-14T22:24:33.3532271Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3532663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3532780Z     return mod(*inputs)
2025-08-14T22:24:33.3533329Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3533466Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3534116Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3534236Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3534707Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3534840Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3535470Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3535625Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3536121Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3536285Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3536836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3537010Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3537024Z 
2025-08-14T22:24:33.3537155Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3537279Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3537458Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3537842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3537969Z     return mod(*inputs)
2025-08-14T22:24:33.3538485Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3538599Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3539099Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3539219Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3539630Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3539767Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3540267Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3540460Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3540867Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3541002Z     return self.act(input)
2025-08-14T22:24:33.3541016Z 
2025-08-14T22:24:33.3541154Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3541278Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3541446Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3541812Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3541910Z     return mod(*inputs)
2025-08-14T22:24:33.3542413Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3542540Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3543299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3543447Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3543916Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3544053Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3544622Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3544785Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3545343Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3545669Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3545685Z 
2025-08-14T22:24:33.3545861Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3546015Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3546151Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3546294Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3546433Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3546622Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3547032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3547144Z     return mod(*inputs)
2025-08-14T22:24:33.3547719Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3547845Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3548406Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3548538Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3549003Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3549172Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3549774Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3549940Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3550504Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3550679Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3551299Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3551546Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3551562Z 
2025-08-14T22:24:33.3551757Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3552168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3552280Z     return mod(*inputs)
2025-08-14T22:24:33.3552883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3553020Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3554042Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3554176Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3554654Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3554795Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3555372Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3555638Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3556183Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3556369Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3556973Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3557172Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3557188Z 
2025-08-14T22:24:33.3557323Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3557457Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3557735Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3558127Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3558235Z     return mod(*inputs)
2025-08-14T22:24:33.3558862Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3558989Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3559546Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3559670Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3560119Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3560264Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3560804Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3561016Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3561457Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3561573Z     return self.act(input)
2025-08-14T22:24:33.3561588Z 
2025-08-14T22:24:33.3561736Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3561904Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3562129Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3562529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3562635Z     return mod(*inputs)
2025-08-14T22:24:33.3563193Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3563316Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3563854Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3563986Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3564437Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3564570Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3565122Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3565333Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3565883Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3566189Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3566205Z 
2025-08-14T22:24:33.3566338Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3566481Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3566610Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3566737Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3566877Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3567060Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3567465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3567579Z     return mod(*inputs)
2025-08-14T22:24:33.3568348Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3568473Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3568970Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3569082Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3569505Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3569631Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3570159Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3570303Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3570801Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3570962Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3571511Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3571732Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3571746Z 
2025-08-14T22:24:33.3571918Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3572277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3572384Z     return mod(*inputs)
2025-08-14T22:24:33.3572891Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3573008Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3573544Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3573685Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3574103Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3574393Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3574918Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3575074Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3575601Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3575772Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3576359Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3576572Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3576587Z 
2025-08-14T22:24:33.3576725Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3576855Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3577034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3577660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3577775Z     return mod(*inputs)
2025-08-14T22:24:33.3578484Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3578614Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3579163Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3579297Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3579752Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3579891Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3580441Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3580652Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3581086Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3581201Z     return self.act(input)
2025-08-14T22:24:33.3581217Z 
2025-08-14T22:24:33.3581355Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3581498Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3581720Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3582125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3582235Z     return mod(*inputs)
2025-08-14T22:24:33.3582878Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3583187Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3583746Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3583874Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3584351Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3584489Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3585063Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3585226Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3585817Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3586171Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3586187Z 
2025-08-14T22:24:33.3586326Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3586474Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3586611Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3586745Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3586889Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3587082Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3587485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3587604Z     return mod(*inputs)
2025-08-14T22:24:33.3588176Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3588308Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3588881Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3589037Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3589510Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3589648Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3590203Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3590366Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3590926Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3591104Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3591732Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3591976Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3591992Z 
2025-08-14T22:24:33.3592192Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3592594Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3592704Z     return mod(*inputs)
2025-08-14T22:24:33.3593284Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3593415Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3594010Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3594138Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3594698Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3594842Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3595389Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3595555Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3596195Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3596349Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3596908Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3597082Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3597096Z 
2025-08-14T22:24:33.3597219Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3597346Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3597542Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3597934Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3598032Z     return mod(*inputs)
2025-08-14T22:24:33.3598536Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3598659Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3599156Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3599268Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3599686Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3599808Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3600312Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3600534Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3600922Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3601036Z     return self.act(input)
2025-08-14T22:24:33.3601050Z 
2025-08-14T22:24:33.3601173Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3601300Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3601468Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3601821Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3601927Z     return mod(*inputs)
2025-08-14T22:24:33.3602432Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3602545Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3603048Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3603162Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3603582Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3603706Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3604200Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3604347Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3604840Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3605150Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3605164Z 
2025-08-14T22:24:33.3605289Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3605413Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3605547Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3605667Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3605785Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3605962Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3606319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3606416Z     return mod(*inputs)
2025-08-14T22:24:33.3606935Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3607049Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3607555Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3607669Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3608105Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3608276Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3608773Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3608926Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3609421Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3609575Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3610135Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3610349Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3610364Z 
2025-08-14T22:24:33.3610540Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3610900Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3611034Z     return mod(*inputs)
2025-08-14T22:24:33.3611542Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3611658Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3612153Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3612275Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3612688Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3612819Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3613316Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3613460Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3613969Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3614118Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3614667Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3614847Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3614861Z 
2025-08-14T22:24:33.3614984Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3615109Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3615279Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3615664Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3615768Z     return mod(*inputs)
2025-08-14T22:24:33.3616272Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3616399Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3616896Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3617006Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3617424Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3617546Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3618043Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3618244Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3618635Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3619601Z     return self.act(input)
2025-08-14T22:24:33.3619646Z 
2025-08-14T22:24:33.3619774Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3619896Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3620076Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3620433Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3620532Z     return mod(*inputs)
2025-08-14T22:24:33.3621044Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3621158Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3621665Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3621775Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3622189Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3622351Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3623098Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3623262Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3623839Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3624151Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3624167Z 
2025-08-14T22:24:33.3624315Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3624451Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3624588Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3624728Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3624859Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3625050Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3625468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3625577Z     return mod(*inputs)
2025-08-14T22:24:33.3626149Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3626277Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3626834Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3626967Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3627430Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3627606Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3628165Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3628326Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3628886Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3629056Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3629673Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3629918Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3629935Z 
2025-08-14T22:24:33.3630126Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3630535Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3630649Z     return mod(*inputs)
2025-08-14T22:24:33.3631247Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3631410Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3631971Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3632106Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3632571Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3632710Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3633269Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3633429Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3633990Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3634167Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3634792Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3635120Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3635135Z 
2025-08-14T22:24:33.3635266Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3635395Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3635696Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3636055Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3636160Z     return mod(*inputs)
2025-08-14T22:24:33.3636664Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3636780Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3637296Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3637417Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3637832Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3637972Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3638476Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3638688Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3639084Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3639196Z     return self.act(input)
2025-08-14T22:24:33.3639210Z 
2025-08-14T22:24:33.3639389Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3639516Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3639855Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3645351Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3645473Z     return mod(*inputs)
2025-08-14T22:24:33.3646045Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3646177Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3646724Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3646867Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3647321Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3647463Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3648024Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3648227Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3648819Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 336, in forward
2025-08-14T22:24:33.3649128Z     key_states = self.k_proj(current_states).view(bsz, -1, self.num_heads, self.head_dim)
2025-08-14T22:24:33.3649143Z 
2025-08-14T22:24:33.3649284Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3649432Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3649567Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3649711Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3649844Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3650034Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3650447Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3650562Z     return mod(*inputs)
2025-08-14T22:24:33.3651117Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3651291Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3651836Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3651979Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3652431Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3652571Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3653128Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3653705Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3654255Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3654445Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3655057Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward
2025-08-14T22:24:33.3655313Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-08-14T22:24:33.3655329Z 
2025-08-14T22:24:33.3655521Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3655919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3656049Z     return mod(*inputs)
2025-08-14T22:24:33.3656605Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3656828Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3657379Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3657509Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3657987Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3658128Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3658678Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 410, in forward
2025-08-14T22:24:33.3658852Z     hidden_states, attn_weights = self.self_attn(
2025-08-14T22:24:33.3659397Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 351, in forward
2025-08-14T22:24:33.3659580Z     attn_output, attn_weights = attention_interface(
2025-08-14T22:24:33.3660194Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward
2025-08-14T22:24:33.3660388Z     attn_output = attn_output.transpose(1, 2).contiguous()
2025-08-14T22:24:33.3660455Z 
2025-08-14T22:24:33.3660645Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3660786Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3660987Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3661382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3661495Z     return mod(*inputs)
2025-08-14T22:24:33.3662062Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1596, in forward
2025-08-14T22:24:33.3662192Z     encoder_outputs = self.encoder(
2025-08-14T22:24:33.3662842Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 708, in forward
2025-08-14T22:24:33.3663163Z     layer_outputs = encoder_layer(
2025-08-14T22:24:33.3663634Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-08-14T22:24:33.3663792Z     return super().__call__(*args, **kwargs)
2025-08-14T22:24:33.3664402Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 421, in forward
2025-08-14T22:24:33.3664620Z     hidden_states = self.activation_fn(self.fc1(hidden_states))
2025-08-14T22:24:33.3665073Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 69, in forward
2025-08-14T22:24:33.3665194Z     return self.act(input)
2025-08-14T22:24:33.3665210Z 
2025-08-14T22:24:33.3665351Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3665500Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3665635Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3665838Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:24:33.3666246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:24:33.3666355Z     return mod(*inputs)
2025-08-14T22:24:33.3666938Z   File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/whisper/modeling_whisper.py", line 1613, in forward
2025-08-14T22:24:33.3667093Z     pooled_output = hidden_states.mean(dim=1)
2025-08-14T22:24:33.3667109Z 
2025-08-14T22:24:33.3667256Z cudagraph partition due to non gpu ops
2025-08-14T22:24:33.3667394Z cudagraph partition due to non gpu ops
2025-08-14T22:24:53.2586878Z Compilation time (from dynamo_timed): 37.368230658
2025-08-14T22:24:53.2587359Z pass
2025-08-14T22:24:53.2589046Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:24:53.2590889Z TIMING: _recursive_pre_grad_passes:0.1086 _recursive_joint_graph_passes:0.99918 _recursive_post_grad_passes:0.19942 async_compile.wait:0.84146 code_gen:11.70163 inductor_compile:17.09643 backend_compile:31.13185 gc:0.00074 entire_frame_compile:37.36823 total_wall_time:37.36823
2025-08-14T22:24:53.2592763Z STATS: call_* op count: 781 | FakeTensorMode.__torch_dispatch__:47981 | FakeTensor.__torch_dispatch__:7832 | ProxyTorchDispatchMode.__torch_dispatch__:9216
2025-08-14T22:24:53.2593765Z Dynamo produced 1 graphs covering 781 ops with 0 graph breaks (0 unique)
2025-08-14T22:24:59.1409321Z 
2025-08-14T22:24:59.2926496Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:24:59.2926927Z loading model: 0it [00:00, ?it/s]
2025-08-14T22:24:59.2927303Z cpu  eval  lennard_jones                      
2025-08-14T22:24:59.2945123Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:24:59.2973573Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:24:59.2983902Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:25:03.2888488Z cudagraph partition due to non gpu ops
2025-08-14T22:25:03.2889033Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:25:03.2890009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:25:03.2890836Z     return mod(*inputs)
2025-08-14T22:25:03.2891025Z 
2025-08-14T22:25:03.2891184Z cudagraph partition due to non gpu ops
2025-08-14T22:25:03.2891615Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:25:03.2892321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:25:03.2892956Z     return mod(*inputs)
2025-08-14T22:25:03.2893143Z 
2025-08-14T22:25:03.2893283Z cudagraph partition due to non gpu ops
2025-08-14T22:25:03.2893723Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:25:03.2894420Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:25:03.2895047Z     return mod(*inputs)
2025-08-14T22:25:03.2895237Z 
2025-08-14T22:25:03.2895377Z cudagraph partition due to non gpu ops
2025-08-14T22:25:03.2895816Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:25:03.2896516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:25:03.2897209Z     return mod(*inputs)
2025-08-14T22:25:03.2897410Z 
2025-08-14T22:25:03.2897549Z cudagraph partition due to non gpu ops
2025-08-14T22:25:03.2897992Z cudagraph partition due to non gpu ops. Found from : 
2025-08-14T22:25:03.2898690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass
2025-08-14T22:25:03.2899307Z     return mod(*inputs)
2025-08-14T22:25:03.2899503Z 
2025-08-14T22:25:06.5263496Z Compilation time (from dynamo_timed): 5.993004454
2025-08-14T22:25:06.5264579Z pass
2025-08-14T22:25:06.5269396Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-08-14T22:25:06.5271072Z TIMING: _recursive_pre_grad_passes:0.00622 _recursive_joint_graph_passes:0.19639 _recursive_post_grad_passes:0.02577 async_compile.wait:0.74953 code_gen:3.136 inductor_compile:5.10079 backend_compile:5.74296 gc:0.00108 entire_frame_compile:5.993 total_wall_time:5.993
2025-08-14T22:25:06.5272923Z STATS: call_* op count: 9 | FakeTensor.__torch_dispatch__:57 | FakeTensorMode.__torch_dispatch__:1109 | ProxyTorchDispatchMode.__torch_dispatch__:240
2025-08-14T22:25:06.5273916Z Dynamo produced 1 graphs covering 9 ops with 0 graph breaks (0 unique)
2025-08-14T22:25:07.7108667Z accuracy            pass_rate=91.43%
2025-08-14T22:25:07.7114993Z calls_captured      gmean=0.00x mean=320.429x
2025-08-14T22:25:07.7119089Z unique_graphs       gmean=0.00x mean=2.771x
2025-08-14T22:25:07.7123192Z graph_breaks        gmean=0.00x mean=1.686x
2025-08-14T22:25:07.7127235Z unique_graph_breaks gmean=0.00x mean=0.429x
2025-08-14T22:25:07.7131394Z autograd_captures   gmean=0.00x mean=0.000x
2025-08-14T22:25:07.7135923Z autograd_compiles   gmean=0.00x mean=0.000x
2025-08-14T22:25:07.7139657Z cudagraph_skips     gmean=0.00x mean=2.457x
2025-08-14T22:25:07.7141499Z compilation_latency mean=21.671 seconds
2025-08-14T22:25:08.3863735Z + 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_freezing_torchbench_inference.csv
2025-08-14T22:25:08.8056819Z BERT_pytorch                        PASS
2025-08-14T22:25:08.8059020Z Background_Matting                  XFAIL
2025-08-14T22:25:08.8064838Z LearningToPaint                     PASS
2025-08-14T22:25:08.8070767Z Super_SloMo                         PASS
2025-08-14T22:25:08.8077393Z alexnet                             PASS
2025-08-14T22:25:08.8082428Z basic_gnn_edgecnn                   PASS
2025-08-14T22:25:08.8093452Z basic_gnn_gcn                       PASS
2025-08-14T22:25:08.8099004Z basic_gnn_gin                       PASS
2025-08-14T22:25:08.8105115Z basic_gnn_sage                      PASS
2025-08-14T22:25:08.8111090Z dcgan                               PASS
2025-08-14T22:25:08.8116927Z demucs                              PASS
2025-08-14T22:25:08.8122836Z densenet121                         PASS
2025-08-14T22:25:08.8128348Z dlrm                                PASS
2025-08-14T22:25:08.8134012Z doctr_det_predictor                 PASS
2025-08-14T22:25:08.8139691Z doctr_reco_predictor                PASS
2025-08-14T22:25:08.8145893Z drq                                 PASS
2025-08-14T22:25:08.8161459Z fastNLP_Bert                        PASS
2025-08-14T22:25:08.8167143Z functorch_dp_cifar10                PASS
2025-08-14T22:25:08.8172854Z functorch_maml_omniglot             PASS
2025-08-14T22:25:08.8178550Z hf_Albert                           PASS
2025-08-14T22:25:08.8184642Z hf_Bart                             PASS
2025-08-14T22:25:08.8190501Z hf_Bert                             PASS
2025-08-14T22:25:08.8196399Z hf_Bert_large                       PASS
2025-08-14T22:25:08.8202084Z hf_BigBird                          PASS
2025-08-14T22:25:08.8207753Z hf_DistilBert                       PASS
2025-08-14T22:25:08.8214512Z hf_GPT2                             PASS
2025-08-14T22:25:08.8219661Z hf_GPT2_large                       XFAIL
2025-08-14T22:25:08.8225810Z hf_Longformer                       PASS
2025-08-14T22:25:08.8231729Z hf_Reformer                         PASS
2025-08-14T22:25:08.8237532Z hf_Roberta_base                     PASS
2025-08-14T22:25:08.8243234Z hf_T5                               PASS
2025-08-14T22:25:08.8248921Z hf_T5_base                          PASS
2025-08-14T22:25:08.8255215Z hf_T5_large                         XFAIL
2025-08-14T22:25:08.8270470Z hf_distil_whisper                   PASS
2025-08-14T22:25:08.8271148Z lennard_jones                       PASS
2025-08-14T22:25:08.8751123Z + 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_freezing_torchbench_inference.csv
2025-08-14T22:25:09.2927068Z BERT_pytorch                        PASS
2025-08-14T22:25:09.2928930Z Background_Matting                  PASS
2025-08-14T22:25:09.2934753Z LearningToPaint                     PASS
2025-08-14T22:25:09.2940392Z Super_SloMo                         PASS
2025-08-14T22:25:09.2946633Z alexnet                             PASS
2025-08-14T22:25:09.2952516Z basic_gnn_edgecnn                   PASS
2025-08-14T22:25:09.2963329Z basic_gnn_gcn                       PASS
2025-08-14T22:25:09.2965470Z basic_gnn_gin                       PASS
2025-08-14T22:25:09.2971228Z basic_gnn_sage                      PASS
2025-08-14T22:25:09.2976935Z dcgan                               PASS
2025-08-14T22:25:09.2982701Z demucs                              PASS
2025-08-14T22:25:09.2989011Z densenet121                         PASS
2025-08-14T22:25:09.2994965Z dlrm                                PASS
2025-08-14T22:25:09.3000709Z doctr_det_predictor                 PASS
2025-08-14T22:25:09.3006617Z doctr_reco_predictor                PASS
2025-08-14T22:25:09.3012179Z drq                                 PASS
2025-08-14T22:25:09.3017867Z fastNLP_Bert                        PASS
2025-08-14T22:25:09.3031778Z functorch_dp_cifar10                PASS
2025-08-14T22:25:09.3037651Z functorch_maml_omniglot             PASS
2025-08-14T22:25:09.3043402Z hf_Albert                           PASS
2025-08-14T22:25:09.3049078Z hf_Bart                             PASS
2025-08-14T22:25:09.3055530Z hf_Bert                             PASS
2025-08-14T22:25:09.3061318Z hf_Bert_large                       PASS
2025-08-14T22:25:09.3067572Z hf_BigBird                          PASS
2025-08-14T22:25:09.3073441Z hf_DistilBert                       PASS
2025-08-14T22:25:09.3079247Z hf_GPT2                             PASS
2025-08-14T22:25:09.3095255Z hf_GPT2_large                       PASS
2025-08-14T22:25:09.3103037Z hf_Longformer                       PASS
2025-08-14T22:25:09.3109242Z hf_Reformer                         PASS
2025-08-14T22:25:09.3115252Z hf_Roberta_base                     PASS
2025-08-14T22:25:09.3120820Z hf_T5                               PASS
2025-08-14T22:25:09.3126708Z hf_T5_base                          PASS
2025-08-14T22:25:09.3132307Z hf_T5_large                         PASS
2025-08-14T22:25:09.3138015Z hf_distil_whisper                   PASS
2025-08-14T22:25:09.3144074Z lennard_jones                       PASS
2025-08-14T22:25:09.3632077Z + sccache_epilogue
2025-08-14T22:25:09.3632713Z + echo '::group::Sccache Compilation Log'
2025-08-14T22:25:09.3633709Z ##[group]Sccache Compilation Log
2025-08-14T22:25:09.3634144Z + echo '=================== sccache compilation log ==================='
2025-08-14T22:25:09.3634631Z =================== sccache compilation log ===================
2025-08-14T22:25:09.3635471Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-08-14T22:25:09.3950707Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-08-14T22:25:09.3951557Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-08-14T22:25:09.3952142Z + sccache --show-stats
2025-08-14T22:25:09.3985181Z Compile requests                    475
2025-08-14T22:25:09.3985747Z Compile requests executed             0
2025-08-14T22:25:09.3986394Z Cache hits                            0
2025-08-14T22:25:09.3986974Z Cache misses                          0
2025-08-14T22:25:09.3987614Z Cache hits rate                       -
2025-08-14T22:25:09.3988275Z Cache timeouts                        0
2025-08-14T22:25:09.3988745Z Cache read errors                     0
2025-08-14T22:25:09.3989116Z Forced recaches                       0
2025-08-14T22:25:09.3989483Z Cache write errors                    0
2025-08-14T22:25:09.3989833Z Cache errors                          0
2025-08-14T22:25:09.3990198Z Compilations                          0
2025-08-14T22:25:09.3990585Z Compilation failures                  0
2025-08-14T22:25:09.3990958Z Non-cacheable compilations            0
2025-08-14T22:25:09.3991339Z Non-cacheable calls                  32
2025-08-14T22:25:09.3991723Z Non-compilation calls               443
2025-08-14T22:25:09.3992118Z Unsupported compiler calls            0
2025-08-14T22:25:09.3992496Z Average cache write               0.000 s
2025-08-14T22:25:09.3992888Z Average compiler                  0.000 s
2025-08-14T22:25:09.3993275Z Average cache read hit            0.000 s
2025-08-14T22:25:09.3993661Z Failed distributed compilations       0
2025-08-14T22:25:09.3993938Z 
2025-08-14T22:25:09.3994060Z Non-cacheable reasons:
2025-08-14T22:25:09.3994483Z -E                                   32
2025-08-14T22:25:09.3994724Z 
2025-08-14T22:25:09.3994998Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T22:25:09.3995523Z Version (client)                0.10.0
2025-08-14T22:25:09.3995886Z + sccache --stop-server
2025-08-14T22:25:09.4009218Z Stopping sccache server...
2025-08-14T22:25:09.4009618Z Compile requests                    475
2025-08-14T22:25:09.4010007Z Compile requests executed             0
2025-08-14T22:25:09.4010386Z Cache hits                            0
2025-08-14T22:25:09.4010734Z Cache misses                          0
2025-08-14T22:25:09.4011096Z Cache hits rate                       -
2025-08-14T22:25:09.4011456Z Cache timeouts                        0
2025-08-14T22:25:09.4011813Z Cache read errors                     0
2025-08-14T22:25:09.4012161Z Forced recaches                       0
2025-08-14T22:25:09.4012521Z Cache write errors                    0
2025-08-14T22:25:09.4012880Z Cache errors                          0
2025-08-14T22:25:09.4013225Z Compilations                          0
2025-08-14T22:25:09.4013602Z Compilation failures                  0
2025-08-14T22:25:09.4013983Z Non-cacheable compilations            0
2025-08-14T22:25:09.4014345Z Non-cacheable calls                  32
2025-08-14T22:25:09.4014718Z Non-compilation calls               443
2025-08-14T22:25:09.4015093Z Unsupported compiler calls            0
2025-08-14T22:25:09.4015570Z Average cache write               0.000 s
2025-08-14T22:25:09.4016006Z Average compiler                  0.000 s
2025-08-14T22:25:09.4016389Z Average cache read hit            0.000 s
2025-08-14T22:25:09.4016781Z Failed distributed compilations       0
2025-08-14T22:25:09.4017038Z 
2025-08-14T22:25:09.4017159Z Non-cacheable reasons:
2025-08-14T22:25:09.4017465Z -E                                   32
2025-08-14T22:25:09.4017700Z 
2025-08-14T22:25:09.4017987Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-08-14T22:25:09.4018508Z Version (client)                0.10.0
2025-08-14T22:25:09.4018886Z + echo ::endgroup::
2025-08-14T22:25:09.4019434Z ##[endgroup]
2025-08-14T22:25:09.4019791Z + cleanup_workspace
2025-08-14T22:25:09.4022681Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-08-14T22:25:09.4023779Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-08-14T22:25:09.4024538Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-08-14T22:25:09.4025178Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-08-14T22:25:09.4025810Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-08-14T22:25:09.4026521Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-08-14T22:25:09.4027091Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-08-14T22:25:10.1348892Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-14T22:25:10.1349477Z with:
2025-08-14T22:25:10.1349776Z   benchmark-results-dir: test/test-reports
2025-08-14T22:25:10.1350164Z   dry-run: false
2025-08-14T22:25:10.1350432Z   schema-version: v3
2025-08-14T22:25:10.1350988Z   github-token: ***
2025-08-14T22:25:10.1351275Z env:
2025-08-14T22:25:10.1351520Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:10.1352083Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:10.1352681Z ##[endgroup]
2025-08-14T22:25:10.1372698Z ##[group]Run set -eux
2025-08-14T22:25:10.1373019Z set -eux
2025-08-14T22:25:10.1373431Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T22:25:10.1373912Z 
2025-08-14T22:25:10.1374327Z DEVICE_NAME=""
2025-08-14T22:25:10.1374619Z DEVICE_TYPE=""
2025-08-14T22:25:10.1374911Z 
2025-08-14T22:25:10.1375226Z if command -v nvidia-smi; then
2025-08-14T22:25:10.1375756Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-14T22:25:10.1376417Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-14T22:25:10.1377042Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-14T22:25:10.1377542Z   python3 -mpip install torch==2.7.1
2025-08-14T22:25:10.1377946Z elif command -v rocminfo; then
2025-08-14T22:25:10.1378444Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-14T22:25:10.1379102Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-14T22:25:10.1379750Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-14T22:25:10.1380311Z   # GPU device name coming from rocminfo instead
2025-08-14T22:25:10.1380733Z   DEVICE_NAME=rocm
2025-08-14T22:25:10.1381293Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-14T22:25:10.1381877Z fi
2025-08-14T22:25:10.1382115Z 
2025-08-14T22:25:10.1382432Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-14T22:25:10.1383015Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-14T22:25:10.1393437Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:10.1393979Z env:
2025-08-14T22:25:10.1394248Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:10.1394792Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:10.1395498Z ##[endgroup]
2025-08-14T22:25:10.1429352Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T22:25:10.4234483Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:25:11.6345892Z Collecting boto3==1.35.33
2025-08-14T22:25:11.6543767Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-14T22:25:12.0191123Z Collecting psutil==7.0.0
2025-08-14T22:25:12.0241574Z   Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB)
2025-08-14T22:25:12.0584381Z Collecting pynvml==12.0.0
2025-08-14T22:25:12.0618433Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-14T22:25:12.1176237Z Collecting s3transfer<0.11.0,>=0.10.0
2025-08-14T22:25:12.1214929Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-08-14T22:25:13.4579683Z Collecting botocore<1.36.0,>=1.35.33
2025-08-14T22:25:13.4619846Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-08-14T22:25:13.6508509Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0)
2025-08-14T22:25:13.7036880Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-08-14T22:25:13.7090676Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-14T22:25:13.7207849Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1)
2025-08-14T22:25:13.7218503Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10)
2025-08-14T22:25:13.8957123Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0)
2025-08-14T22:25:14.0492349Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-08-14T22:25:14.6673270Z   Attempting uninstall: nvidia-ml-py
2025-08-14T22:25:14.6676223Z     Found existing installation: nvidia-ml-py 11.525.84
2025-08-14T22:25:14.6693214Z     Uninstalling nvidia-ml-py-11.525.84:
2025-08-14T22:25:14.6921069Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-08-14T22:25:14.7627409Z   Attempting uninstall: psutil
2025-08-14T22:25:14.7627918Z     Found existing installation: psutil 5.9.8
2025-08-14T22:25:14.7720429Z     Uninstalling psutil-5.9.8:
2025-08-14T22:25:14.7725920Z       Successfully uninstalled psutil-5.9.8
2025-08-14T22:25:14.9722428Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4
2025-08-14T22:25:15.0795116Z + DEVICE_NAME=
2025-08-14T22:25:15.0795489Z + DEVICE_TYPE=
2025-08-14T22:25:15.0795784Z + command -v nvidia-smi
2025-08-14T22:25:15.0796314Z + command -v rocminfo
2025-08-14T22:25:15.0796628Z + echo DEVICE_NAME=
2025-08-14T22:25:15.0796956Z + echo DEVICE_TYPE=
2025-08-14T22:25:15.0821972Z ##[group]Run set -eux
2025-08-14T22:25:15.0822285Z set -eux
2025-08-14T22:25:15.0822643Z 
2025-08-14T22:25:15.0828613Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-14T22:25:15.0829691Z   echo "Missing github-token input"
2025-08-14T22:25:15.0830641Z   exit 1
2025-08-14T22:25:15.0831300Z fi
2025-08-14T22:25:15.0840315Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:15.0840730Z env:
2025-08-14T22:25:15.0840960Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:15.0841642Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:15.0842211Z   DEVICE_NAME: 
2025-08-14T22:25:15.0842470Z   DEVICE_TYPE: 
2025-08-14T22:25:15.0842963Z   GITHUB_TOKEN: ***
2025-08-14T22:25:15.0843235Z ##[endgroup]
2025-08-14T22:25:15.0871628Z + [[ -z *** ]]
2025-08-14T22:25:15.0918530Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-14T22:25:15.0919093Z with:
2025-08-14T22:25:15.0919666Z   github-token: ***
2025-08-14T22:25:15.0919945Z env:
2025-08-14T22:25:15.0920185Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:15.0920981Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:15.0921561Z   DEVICE_NAME: 
2025-08-14T22:25:15.0921814Z   DEVICE_TYPE: 
2025-08-14T22:25:15.0922089Z ##[endgroup]
2025-08-14T22:25:15.0937683Z ##[group]Run set -eux
2025-08-14T22:25:15.0937970Z set -eux
2025-08-14T22:25:15.0938214Z 
2025-08-14T22:25:15.0938714Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T22:25:15.0945661Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:15.0946112Z env:
2025-08-14T22:25:15.0946381Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:15.0946921Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:15.0947616Z   DEVICE_NAME: 
2025-08-14T22:25:15.0952806Z   DEVICE_TYPE: 
2025-08-14T22:25:15.0953747Z   GITHUB_TOKEN: ***
2025-08-14T22:25:15.0954038Z ##[endgroup]
2025-08-14T22:25:15.0981167Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976338999 i-0332fb71a7b8c21e0
2025-08-14T22:25:16.5711453Z setting job-id=48128301926
2025-08-14T22:25:16.5712469Z setting job-name=linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T22:25:16.5839053Z ##[group]Run set -eux
2025-08-14T22:25:16.5839386Z set -eux
2025-08-14T22:25:16.5839666Z 
2025-08-14T22:25:16.5840133Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-14T22:25:16.5840736Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-14T22:25:16.5841153Z   --repo "${REPO}" \
2025-08-14T22:25:16.5841550Z   --head-branch "${HEAD_BRANCH}" \
2025-08-14T22:25:16.5841936Z   --head-sha "${HEAD_SHA}" \
2025-08-14T22:25:16.5842341Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-14T22:25:16.5842768Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-14T22:25:16.5843164Z   --job-id "${JOB_ID}" \
2025-08-14T22:25:16.5843521Z   --job-name "${JOB_NAME}"
2025-08-14T22:25:16.5850018Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:16.5850467Z env:
2025-08-14T22:25:16.5850719Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:16.5851257Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:16.5851831Z   DEVICE_NAME: 
2025-08-14T22:25:16.5852085Z   DEVICE_TYPE: 
2025-08-14T22:25:16.5852362Z   SCHEMA_VERSION: v3
2025-08-14T22:25:16.5852665Z   REPO: pytorch/pytorch
2025-08-14T22:25:16.5852962Z   HEAD_BRANCH: refs/heads/main
2025-08-14T22:25:16.5854174Z   HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:25:16.5854670Z   WORKFLOW_RUN_ID: 16976338999
2025-08-14T22:25:16.5855007Z   RUN_ATTEMPT: 1
2025-08-14T22:25:16.5855276Z   JOB_ID: 48128301926
2025-08-14T22:25:16.5856066Z   JOB_NAME: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T22:25:16.5856918Z ##[endgroup]
2025-08-14T22:25:16.5896445Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976338999 --run-attempt 1 --job-id 48128301926 --job-name 'linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)'
2025-08-14T22:25:16.6285257Z ##[group]Run set -eux
2025-08-14T22:25:16.6285694Z set -eux
2025-08-14T22:25:16.6286058Z 
2025-08-14T22:25:16.6286472Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-14T22:25:16.6292797Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:16.6293215Z env:
2025-08-14T22:25:16.6293443Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:16.6293969Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:16.6294514Z   DEVICE_NAME: 
2025-08-14T22:25:16.6294768Z   DEVICE_TYPE: 
2025-08-14T22:25:16.6295064Z ##[endgroup]
2025-08-14T22:25:16.6327276Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-14T22:25:16.6827961Z INFO:root:Fail to import torch to get the device name
2025-08-14T22:25:16.6931182Z ##[group]Run set -eux
2025-08-14T22:25:16.6931455Z set -eux
2025-08-14T22:25:16.6931695Z 
2025-08-14T22:25:16.6932030Z # TODO (huydhn): Implement this part
2025-08-14T22:25:16.6932439Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:25:16.6938183Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:16.6938598Z env:
2025-08-14T22:25:16.6938847Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:16.6939501Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:16.6940060Z   DEVICE_NAME: 
2025-08-14T22:25:16.6940320Z   DEVICE_TYPE: 
2025-08-14T22:25:16.6940572Z ##[endgroup]
2025-08-14T22:25:16.6966428Z + echo 'dependencies={}'
2025-08-14T22:25:16.6988240Z ##[group]Run set -eux
2025-08-14T22:25:16.6988572Z set -eux
2025-08-14T22:25:16.6988846Z 
2025-08-14T22:25:16.6989167Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-14T22:25:16.6989697Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-14T22:25:16.6990272Z   # We don't want the job to fail if the directory doesn't exist
2025-08-14T22:25:16.6990761Z   exit 0
2025-08-14T22:25:16.6991033Z fi
2025-08-14T22:25:16.6991274Z 
2025-08-14T22:25:16.6991563Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-14T22:25:16.6992132Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T22:25:16.6992793Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T22:25:16.6993305Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T22:25:16.6993730Z     --runners "${RUNNER_INFO}" \
2025-08-14T22:25:16.6994259Z     --dependencies "${DEPENDENCIES}" \
2025-08-14T22:25:16.6994632Z     --dry-run
2025-08-14T22:25:16.6994921Z else
2025-08-14T22:25:16.6995361Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T22:25:16.6996090Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T22:25:16.6996575Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T22:25:16.6996972Z     --runners "${RUNNER_INFO}" \
2025-08-14T22:25:16.6997359Z     --dependencies "${DEPENDENCIES}"
2025-08-14T22:25:16.6997704Z fi
2025-08-14T22:25:16.7003049Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:16.7003453Z env:
2025-08-14T22:25:16.7003688Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:16.7004183Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:16.7004715Z   DEVICE_NAME: 
2025-08-14T22:25:16.7004945Z   DEVICE_TYPE: 
2025-08-14T22:25:16.7005219Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-14T22:25:16.7005558Z   DRY_RUN: false
2025-08-14T22:25:16.7007200Z   BENCHMARK_METADATA: {"timestamp": 1755210316, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301926}
2025-08-14T22:25:16.7010053Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 40, "avail_mem_in_gb": 157, "extra_info": {"hostname": "ip-10-0-31-67.ec2.internal"}, "name": "", "type": ""}]
2025-08-14T22:25:16.7010786Z   DEPENDENCIES: {}
2025-08-14T22:25:16.7011072Z ##[endgroup]
2025-08-14T22:25:16.7036347Z + [[ ! -d test/test-reports ]]
2025-08-14T22:25:16.7036705Z + [[ false == \t\r\u\e ]]
2025-08-14T22:25:16.7040189Z + 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": 1755210316, "schema_version": "v3", "name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976338999, "run_attempt": 1, "job_id": 48128301926}' --runners '[{"cpu_info": "x86_64", "cpu_count": 40, "avail_mem_in_gb": 157, "extra_info": {"hostname": "ip-10-0-31-67.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-14T22:25:16.8788966Z INFO:root:Upload test/test-reports/inference_torchbench.json to s3://ossci-benchmarks/v3/pytorch/pytorch/16976338999/48128301926/inference_torchbench.json
2025-08-14T22:25:16.9217415Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-08-14T22:25:17.1658144Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-14T22:25:17.1658623Z cat test/**/*_toprint.log || true
2025-08-14T22:25:17.1665268Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:17.1665728Z env:
2025-08-14T22:25:17.1665991Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:17.1666534Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:17.1667156Z   DEVICE_NAME: 
2025-08-14T22:25:17.1667432Z   DEVICE_TYPE: 
2025-08-14T22:25:17.1667701Z ##[endgroup]
2025-08-14T22:25:17.1772694Z cat: 'test/**/*_toprint.log': No such file or directory
2025-08-14T22:25:17.1802657Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-08-14T22:25:17.1803043Z kill "$MONITOR_SCRIPT_PID"
2025-08-14T22:25:17.1809100Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:17.1809529Z env:
2025-08-14T22:25:17.1809783Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:17.1810292Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:17.1810855Z   DEVICE_NAME: 
2025-08-14T22:25:17.1811112Z   DEVICE_TYPE: 
2025-08-14T22:25:17.1811382Z   MONITOR_SCRIPT_PID: 48841
2025-08-14T22:25:17.1811672Z ##[endgroup]
2025-08-14T22:25:17.1984852Z Prepare all required actions
2025-08-14T22:25:17.1985359Z Getting action download info
2025-08-14T22:25:17.3348561Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T22:25:17.5987790Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-14T22:25:18.1248722Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-14T22:25:18.1249119Z with:
2025-08-14T22:25:18.1249599Z   file-suffix: test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T22:25:18.1250173Z   s3-bucket: gha-artifacts
2025-08-14T22:25:18.1250454Z env:
2025-08-14T22:25:18.1250686Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.1251185Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.1251740Z   DEVICE_NAME: 
2025-08-14T22:25:18.1251985Z   DEVICE_TYPE: 
2025-08-14T22:25:18.1252215Z ##[endgroup]
2025-08-14T22:25:18.1283786Z ##[group]Run # Remove any previous test jsons if they exist
2025-08-14T22:25:18.1284605Z # Remove any previous test jsons if they exist
2025-08-14T22:25:18.1285022Z rm -f test-jsons-*.zip
2025-08-14T22:25:18.1285618Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-08-14T22:25:18.1291458Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:18.1291847Z env:
2025-08-14T22:25:18.1292081Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.1292567Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.1293084Z   DEVICE_NAME: 
2025-08-14T22:25:18.1293319Z   DEVICE_TYPE: 
2025-08-14T22:25:18.1293786Z   FILE_SUFFIX: test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T22:25:18.1294327Z ##[endgroup]
2025-08-14T22:25:18.1498966Z   adding: test/test-reports/inference_torchbench.json (deflated 99%)
2025-08-14T22:25:18.1524831Z ##[group]Run # Remove any previous test reports if they exist
2025-08-14T22:25:18.1525489Z # Remove any previous test reports if they exist
2025-08-14T22:25:18.1526256Z rm -f test-reports-*.zip
2025-08-14T22:25:18.1526795Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-08-14T22:25:18.1532862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:18.1533287Z env:
2025-08-14T22:25:18.1533536Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.1534046Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.1534613Z   DEVICE_NAME: 
2025-08-14T22:25:18.1534869Z   DEVICE_TYPE: 
2025-08-14T22:25:18.1535368Z   FILE_SUFFIX: test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T22:25:18.1535930Z ##[endgroup]
2025-08-14T22:25:18.1594617Z   adding: test/test-reports/inference_torchbench.csv (deflated 60%)
2025-08-14T22:25:18.1600994Z   adding: test/test-reports/inference_torchbench_graph_breaks.csv (deflated 94%)
2025-08-14T22:25:18.1603016Z   adding: test/test-reports/inference_torchbench_graph_break_deduped.csv (deflated 80%)
2025-08-14T22:25:18.1628604Z ##[group]Run # Remove any previous usage logs if they exist
2025-08-14T22:25:18.1629407Z # Remove any previous usage logs if they exist
2025-08-14T22:25:18.1629848Z rm -f logs-*.zip
2025-08-14T22:25:18.1630262Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-08-14T22:25:18.1635695Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-08-14T22:25:18.1641818Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:18.1642258Z env:
2025-08-14T22:25:18.1642504Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.1643047Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.1643631Z   DEVICE_NAME: 
2025-08-14T22:25:18.1643887Z   DEVICE_TYPE: 
2025-08-14T22:25:18.1644571Z   FILE_SUFFIX: test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T22:25:18.1645179Z ##[endgroup]
2025-08-14T22:25:18.1738997Z   adding: usage_log.txt (deflated 97%)
2025-08-14T22:25:18.1750642Z 
2025-08-14T22:25:18.1751176Z zip error: Nothing to do! (logs-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip)
2025-08-14T22:25:18.1777389Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-08-14T22:25:18.1777999Z # Remove any previous debugging artifacts if they exist
2025-08-14T22:25:18.1778460Z rm -f debug-*.zip
2025-08-14T22:25:18.1779050Z if [ -d 'test/debug' ]; then
2025-08-14T22:25:18.1779466Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-08-14T22:25:18.1779866Z fi
2025-08-14T22:25:18.1785844Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:18.1786296Z env:
2025-08-14T22:25:18.1786558Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.1787116Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.1787818Z   DEVICE_NAME: 
2025-08-14T22:25:18.1788097Z   DEVICE_TYPE: 
2025-08-14T22:25:18.1788612Z   FILE_SUFFIX: test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926
2025-08-14T22:25:18.1789228Z ##[endgroup]
2025-08-14T22:25:18.1988736Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:25:18.1989127Z with:
2025-08-14T22:25:18.1989402Z   s3-bucket: gha-artifacts
2025-08-14T22:25:18.1989790Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-14T22:25:18.1990197Z   retention-days: 14
2025-08-14T22:25:18.1990507Z   if-no-files-found: warn
2025-08-14T22:25:18.1990834Z   path: test-jsons-*.zip
2025-08-14T22:25:18.1991129Z   name: artifact
2025-08-14T22:25:18.1991406Z   region: us-east-1
2025-08-14T22:25:18.1991678Z env:
2025-08-14T22:25:18.1991922Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.1992495Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.1993099Z   DEVICE_NAME: 
2025-08-14T22:25:18.1993468Z   DEVICE_TYPE: 
2025-08-14T22:25:18.1993728Z ##[endgroup]
2025-08-14T22:25:18.6133217Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T22:25:18.6135228Z With the provided path, there will be 1 file uploaded
2025-08-14T22:25:18.6135761Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact
2025-08-14T22:25:18.6183329Z Starting upload of test-jsons-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:18.7483892Z Finished upload of test-jsons-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:18.7674775Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:25:18.7675159Z with:
2025-08-14T22:25:18.7675425Z   s3-bucket: gha-artifacts
2025-08-14T22:25:18.7675802Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-14T22:25:18.7676199Z   retention-days: 14
2025-08-14T22:25:18.7676522Z   if-no-files-found: error
2025-08-14T22:25:18.7676849Z   path: test-reports-*.zip
2025-08-14T22:25:18.7677154Z   name: artifact
2025-08-14T22:25:18.7677420Z   region: us-east-1
2025-08-14T22:25:18.7677689Z env:
2025-08-14T22:25:18.7677923Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:18.7678460Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:18.7679045Z   DEVICE_NAME: 
2025-08-14T22:25:18.7679305Z   DEVICE_TYPE: 
2025-08-14T22:25:18.7679549Z ##[endgroup]
2025-08-14T22:25:19.1495807Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T22:25:19.1496521Z With the provided path, there will be 1 file uploaded
2025-08-14T22:25:19.1497049Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact
2025-08-14T22:25:19.1552909Z Starting upload of test-reports-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:19.3324178Z Finished upload of test-reports-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:19.3524905Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:25:19.3525306Z with:
2025-08-14T22:25:19.3525577Z   s3-bucket: gha-artifacts
2025-08-14T22:25:19.3525957Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-14T22:25:19.3526367Z   retention-days: 14
2025-08-14T22:25:19.3526657Z   if-no-files-found: ignore
2025-08-14T22:25:19.3526975Z   path: logs-*.zip
2025-08-14T22:25:19.3527249Z   name: artifact
2025-08-14T22:25:19.3527505Z   region: us-east-1
2025-08-14T22:25:19.3527771Z env:
2025-08-14T22:25:19.3528024Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:19.3528548Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:19.3529130Z   DEVICE_NAME: 
2025-08-14T22:25:19.3529396Z   DEVICE_TYPE: 
2025-08-14T22:25:19.3529751Z ##[endgroup]
2025-08-14T22:25:19.7338222Z NOTE: s3-prefix specified, ignoring name parameter
2025-08-14T22:25:19.7338817Z With the provided path, there will be 1 file uploaded
2025-08-14T22:25:19.7339359Z Uploading to s3 prefix: pytorch/pytorch/16976338999/1/artifact
2025-08-14T22:25:19.7397874Z Starting upload of logs-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:19.9171225Z Finished upload of logs-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:19.9364610Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-08-14T22:25:19.9364993Z with:
2025-08-14T22:25:19.9365258Z   s3-bucket: gha-artifacts
2025-08-14T22:25:19.9365636Z   s3-prefix: pytorch/pytorch/16976338999/1/artifact

2025-08-14T22:25:19.9366034Z   retention-days: 14
2025-08-14T22:25:19.9366337Z   if-no-files-found: ignore
2025-08-14T22:25:19.9366660Z   path: debug-*.zip
2025-08-14T22:25:19.9366924Z   name: artifact
2025-08-14T22:25:19.9367201Z   region: us-east-1
2025-08-14T22:25:19.9367588Z env:
2025-08-14T22:25:19.9367823Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:19.9368374Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:19.9368952Z   DEVICE_NAME: 
2025-08-14T22:25:19.9369324Z   DEVICE_TYPE: 
2025-08-14T22:25:19.9369571Z ##[endgroup]
2025-08-14T22:25:20.3097381Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-08-14T22:25:20.3297460Z ##[group]Run # shellcheck disable=SC2156
2025-08-14T22:25:20.3297906Z # shellcheck disable=SC2156
2025-08-14T22:25:20.3298572Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-08-14T22:25:20.3305375Z shell: /usr/bin/bash -e {0}
2025-08-14T22:25:20.3305704Z env:
2025-08-14T22:25:20.3305953Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:20.3306509Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:20.3307104Z   DEVICE_NAME: 
2025-08-14T22:25:20.3307374Z   DEVICE_TYPE: 
2025-08-14T22:25:20.3307631Z ##[endgroup]
2025-08-14T22:25:20.6840458Z Prepare all required actions
2025-08-14T22:25:20.6840918Z Getting action download info
2025-08-14T22:25:20.8023631Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-14T22:25:20.8024256Z with:
2025-08-14T22:25:20.8024503Z   job_id: 48128301926
2025-08-14T22:25:20.8025310Z   job_name: linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T22:25:20.8026215Z   workflow_name: inductor-periodic
2025-08-14T22:25:20.8026591Z   workflow_run_id: 16976338999
2025-08-14T22:25:20.8026916Z   workflow_attempt: 1
2025-08-14T22:25:20.8027210Z env:
2025-08-14T22:25:20.8027474Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:20.8028019Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:20.8028628Z   DEVICE_NAME: 
2025-08-14T22:25:20.8028906Z   DEVICE_TYPE: 
2025-08-14T22:25:20.8029167Z ##[endgroup]
2025-08-14T22:25:20.8047214Z ##[group]Run echo "workflow_id: 16976338999"
2025-08-14T22:25:20.8047612Z echo "workflow_id: 16976338999"
2025-08-14T22:25:20.8048009Z echo "workflow_attempt: 1"
2025-08-14T22:25:20.8048414Z echo "workflow_Name: inductor-periodic"
2025-08-14T22:25:20.8048822Z echo "job_id: 48128301926"
2025-08-14T22:25:20.8049677Z echo "job_name:  linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)"
2025-08-14T22:25:20.8050568Z echo "artifact_prefix: "
2025-08-14T22:25:20.8050923Z python3 --version
2025-08-14T22:25:20.8059819Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:20.8060270Z env:
2025-08-14T22:25:20.8060534Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:20.8061078Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:20.8061653Z   DEVICE_NAME: 
2025-08-14T22:25:20.8061924Z   DEVICE_TYPE: 
2025-08-14T22:25:20.8062204Z ##[endgroup]
2025-08-14T22:25:20.8090101Z workflow_id: 16976338999
2025-08-14T22:25:20.8090479Z workflow_attempt: 1
2025-08-14T22:25:20.8091059Z workflow_Name: inductor-periodic
2025-08-14T22:25:20.8091407Z job_id: 48128301926
2025-08-14T22:25:20.8092198Z job_name:  linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)
2025-08-14T22:25:20.8093036Z artifact_prefix: 
2025-08-14T22:25:20.8105790Z Python 3.9.23
2025-08-14T22:25:20.8146837Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:25:20.8147195Z with:
2025-08-14T22:25:20.8147448Z   shell: bash
2025-08-14T22:25:20.8147726Z   timeout_minutes: 5
2025-08-14T22:25:20.8148011Z   max_attempts: 5
2025-08-14T22:25:20.8148309Z   retry_wait_seconds: 30
2025-08-14T22:25:20.8148967Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-08-14T22:25:20.8149680Z   polling_interval_seconds: 1
2025-08-14T22:25:20.8150024Z   warning_on_retry: true
2025-08-14T22:25:20.8150348Z   continue_on_error: false
2025-08-14T22:25:20.8150663Z env:
2025-08-14T22:25:20.8151003Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:20.8151563Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:20.8152166Z   DEVICE_NAME: 
2025-08-14T22:25:20.8152426Z   DEVICE_TYPE: 
2025-08-14T22:25:20.8152701Z ##[endgroup]
2025-08-14T22:25:21.2085394Z Defaulting to user installation because normal site-packages is not writeable
2025-08-14T22:25:21.2934613Z Collecting python-dateutil==2.8.2
2025-08-14T22:25:21.3140824Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-14T22:25:22.4832894Z Collecting boto3==1.35.42
2025-08-14T22:25:22.4875713Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-14T22:25:23.0841218Z Collecting pandas==2.1.3
2025-08-14T22:25:23.0884134Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-08-14T22:25:23.2617046Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-08-14T22:25:23.2647018Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-08-14T22:25:23.2707684Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4)
2025-08-14T22:25:23.2713174Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0)
2025-08-14T22:25:23.2717752Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99)
2025-08-14T22:25:23.3848544Z Collecting tzdata>=2022.1
2025-08-14T22:25:23.3891564Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-14T22:25:24.3768718Z Collecting numpy<2,>=1.22.4
2025-08-14T22:25:24.3823293Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-08-14T22:25:24.6213294Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-08-14T22:25:24.6257533Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-08-14T22:25:24.6261877Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-08-14T22:25:24.6332934Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10)
2025-08-14T22:25:24.6461811Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0)
2025-08-14T22:25:24.6594449Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-08-14T22:25:24.6598399Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1)
2025-08-14T22:25:24.8542331Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-08-14T22:25:30.7147831Z   Attempting uninstall: boto3
2025-08-14T22:25:30.7148472Z     Found existing installation: boto3 1.35.33
2025-08-14T22:25:30.7272355Z     Uninstalling boto3-1.35.33:
2025-08-14T22:25:30.7287993Z       Successfully uninstalled boto3-1.35.33
2025-08-14T22:25:30.7984554Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-08-14T22:25:30.9170106Z Command completed after 1 attempt(s).
2025-08-14T22:25:30.9224276Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T22:25:30.9225125Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T22:25:30.9225744Z   --workflow-run-id "16976338999" \
2025-08-14T22:25:30.9226264Z   --workflow-name "inductor-periodic" \
2025-08-14T22:25:30.9226705Z   --workflow-run-attempt "1" \
2025-08-14T22:25:30.9227091Z   --job-id "48128301926" \
2025-08-14T22:25:30.9227999Z   --job-name "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)" \
2025-08-14T22:25:30.9228913Z   --local-path "" \
2025-08-14T22:25:30.9229263Z   --artifact-prefix ""
2025-08-14T22:25:30.9242590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:30.9243700Z env:
2025-08-14T22:25:30.9244337Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:30.9245727Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:30.9247556Z   DEVICE_NAME: 
2025-08-14T22:25:30.9248217Z   DEVICE_TYPE: 
2025-08-14T22:25:30.9248858Z ##[endgroup]
2025-08-14T22:25:32.4415818Z repo: pytorch/pytorch
2025-08-14T22:25:32.4416306Z Search for test log in s3 bucket: ossci-utilization
2025-08-14T22:25:32.4417071Z Downloading logs-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:32.4418150Z extracting usage_log.txt from zip file logs-test-cpu_inductor_freezing_avx2_torchbench-1-2-linux.10xlarge.avx2_48128301926.zip
2025-08-14T22:25:32.4418941Z Converted Log Model: UtilizationMetadata:
2025-08-14T22:25:32.4421224Z  UtilizationMetadata(level='metadata', workflow_id='16976338999', job_id='48128301926', workflow_name='inductor-periodic', job_name='linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1755207097, gpu_count=0, cpu_count=40, gpu_type=None, error=None)
2025-08-14T22:25:32.4423561Z [Db Segments] detected pytest cmd: 11, generated segments: 11
2025-08-14T22:25:32.4424052Z [db model] Peek db timeseries 
2025-08-14T22:25:32.4424383Z :{
2025-08-14T22:25:32.4424635Z     "created_at": 1755210332,
2025-08-14T22:25:32.4425006Z     "type": "utilization",
2025-08-14T22:25:32.4425341Z     "tags": [
2025-08-14T22:25:32.4425624Z         "record"
2025-08-14T22:25:32.4425886Z     ],
2025-08-14T22:25:32.4426128Z     "time_stamp": 1755207097,
2025-08-14T22:25:32.4426469Z     "repo": "pytorch/pytorch",
2025-08-14T22:25:32.4426812Z     "workflow_id": 16976338999,
2025-08-14T22:25:32.4427134Z     "run_attempt": 1,
2025-08-14T22:25:32.4427434Z     "job_id": 48128301926,
2025-08-14T22:25:32.4427774Z     "workflow_name": "inductor-periodic",
2025-08-14T22:25:32.4428769Z     "job_name": "linux-jammy-cpu-py3.9-gcc11-periodic-dynamo-benchmarks / test (cpu_inductor_freezing_avx2_torchbench, 1, 2, linux.10xlarge.avx2)",
2025-08-14T22:25:32.4429631Z     "json_data": "{}"
2025-08-14T22:25:32.4429910Z }
2025-08-14T22:25:32.4430505Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301926/metadata
2025-08-14T22:25:32.4431758Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/16976338999/1/48128301926/metadata 
2025-08-14T22:25:32.4432869Z Writing 638 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301926/time_series
2025-08-14T22:25:32.4434001Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/16976338999/1/48128301926/time_series 
2025-08-14T22:25:32.5459547Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-08-14T22:25:32.5460071Z with:
2025-08-14T22:25:32.5460321Z env:
2025-08-14T22:25:32.5460569Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:32.5461118Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:32.5461707Z   DEVICE_NAME: 
2025-08-14T22:25:32.5461967Z   DEVICE_TYPE: 
2025-08-14T22:25:32.5462235Z ##[endgroup]
2025-08-14T22:25:32.5480312Z ##[group]Run set -eou pipefail
2025-08-14T22:25:32.5480772Z set -eou pipefail
2025-08-14T22:25:32.5481064Z 
2025-08-14T22:25:32.5481447Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-08-14T22:25:32.5481947Z for _ in $(seq 1440); do
2025-08-14T22:25:32.5482314Z     # Break if no ssh session exists anymore
2025-08-14T22:25:32.5491208Z     if [ "$(who)" = "" ]; then
2025-08-14T22:25:32.5492076Z       break
2025-08-14T22:25:32.5492934Z     fi
2025-08-14T22:25:32.5493582Z     echo "."
2025-08-14T22:25:32.5494290Z     sleep 5
2025-08-14T22:25:32.5494985Z done
2025-08-14T22:25:32.5502647Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:32.5503269Z env:
2025-08-14T22:25:32.5503539Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:32.5504114Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:32.5504696Z   DEVICE_NAME: 
2025-08-14T22:25:32.5504985Z   DEVICE_TYPE: 
2025-08-14T22:25:32.5505255Z ##[endgroup]
2025-08-14T22:25:32.5532336Z Holding runner for 2 hours until all ssh sessions have logged out
2025-08-14T22:25:32.5640012Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:25:32.5640654Z # ignore expansion of "docker ps -q" since it could be empty
2025-08-14T22:25:32.5641123Z # shellcheck disable=SC2046
2025-08-14T22:25:32.5641676Z docker stop $(docker ps -q) || true
2025-08-14T22:25:32.5642076Z # Prune all of the docker images
2025-08-14T22:25:32.5642438Z docker system prune -af
2025-08-14T22:25:32.5648045Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:32.5648476Z env:
2025-08-14T22:25:32.5648716Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:25:32.5649246Z   DOCKER_CONTAINER_ID: 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:32.5649814Z   DEVICE_NAME: 
2025-08-14T22:25:32.5650068Z   DEVICE_TYPE: 
2025-08-14T22:25:32.5650335Z ##[endgroup]
2025-08-14T22:25:43.6812615Z 4383cee6f1c5
2025-08-14T22:25:44.2608949Z Deleted Containers:
2025-08-14T22:25:44.2609481Z 4383cee6f1c5edf32245a3144c006412be3347ec936b3fcbd4cb1e1d0695ba29
2025-08-14T22:25:44.2609888Z 
2025-08-14T22:25:56.2416393Z Deleted Images:
2025-08-14T22:25:56.2420483Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.9-gcc11-inductor-benchmarks-bfa89110622ba7202628e9faac705f183070defe
2025-08-14T22:25:56.2422043Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:4236794baba289041d240d08fd393bbd57497c3012e5e0ccd9fd98f61ebf35c6
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2025-08-14T22:25:56.2486165Z deleted: sha256:90a2bf02e851326fc70d05470553ed33e578342d6e06bfa0cfaf331c4079b7e4
2025-08-14T22:25:56.2486567Z 
2025-08-14T22:25:56.2486743Z Total reclaimed space: 53.04GB
2025-08-14T22:25:56.2583402Z Post job cleanup.
2025-08-14T22:25:56.2629549Z Post job cleanup.
2025-08-14T22:25:56.3748349Z [command]/usr/bin/git version
2025-08-14T22:25:56.3803117Z git version 2.47.1
2025-08-14T22:25:56.3846880Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/b9c54385-f988-4291-bcc1-971963e5d92c/.gitconfig'
2025-08-14T22:25:56.3857477Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/b9c54385-f988-4291-bcc1-971963e5d92c' before making global git config changes
2025-08-14T22:25:56.3858575Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T22:25:56.3863180Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-08-14T22:25:56.3907553Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T22:25:56.3951458Z [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' || :"
2025-08-14T22:25:56.4310413Z Entering 'android/libs/fbjni'
2025-08-14T22:25:56.4378449Z Entering 'third_party/FP16'
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2025-08-14T22:25:56.4505158Z Entering 'third_party/NNPACK'
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2025-08-14T22:25:56.4708880Z Entering 'third_party/XNNPACK'
2025-08-14T22:25:56.4790727Z Entering 'third_party/aiter'
2025-08-14T22:25:56.4861952Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:25:56.4942473Z Entering 'third_party/benchmark'
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2025-08-14T22:25:56.5096864Z Entering 'third_party/cpp-httplib'
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2025-08-14T22:25:56.5373036Z Entering 'third_party/fbgemm'
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2025-08-14T22:25:56.5782280Z Entering 'third_party/fbgemm/external/hipify_torch'
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2025-08-14T22:25:56.5929234Z Entering 'third_party/flash-attention'
2025-08-14T22:25:56.5996444Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:25:56.6065476Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:25:56.6146935Z Entering 'third_party/flatbuffers'
2025-08-14T22:25:56.6222824Z Entering 'third_party/fmt'
2025-08-14T22:25:56.6288894Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:25:56.6351310Z Entering 'third_party/gloo'
2025-08-14T22:25:56.6427788Z Entering 'third_party/googletest'
2025-08-14T22:25:56.6499657Z Entering 'third_party/ideep'
2025-08-14T22:25:56.6563024Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:25:56.6636771Z Entering 'third_party/ittapi'
2025-08-14T22:25:56.6703782Z Entering 'third_party/kineto'
2025-08-14T22:25:56.6766488Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:25:56.6843626Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:25:56.6908645Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-08-14T22:25:56.7044329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:25:56.7106810Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:25:56.7183174Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:25:56.7249997Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:25:56.7328784Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:25:56.7408910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:25:56.7473209Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:25:56.7544038Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:25:56.7618226Z Entering 'third_party/kleidiai'
2025-08-14T22:25:56.7684819Z Entering 'third_party/mimalloc'
2025-08-14T22:25:56.7761069Z Entering 'third_party/nlohmann'
2025-08-14T22:25:56.7826702Z Entering 'third_party/onnx'
2025-08-14T22:25:56.7907153Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:25:56.7973195Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:25:56.8040180Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:25:56.8106307Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:25:56.8175450Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:25:56.8249132Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:25:56.8329478Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:25:56.8393399Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:25:56.8455497Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:25:56.8531080Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:25:56.8599634Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:25:56.8663561Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:25:56.8749130Z Entering 'third_party/pocketfft'
2025-08-14T22:25:56.8814370Z Entering 'third_party/protobuf'
2025-08-14T22:25:56.8903228Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:25:56.8964356Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:25:56.9039865Z Entering 'third_party/psimd'
2025-08-14T22:25:56.9105156Z Entering 'third_party/pthreadpool'
2025-08-14T22:25:56.9175436Z Entering 'third_party/pybind11'
2025-08-14T22:25:56.9241098Z Entering 'third_party/python-peachpy'
2025-08-14T22:25:56.9304903Z Entering 'third_party/sleef'
2025-08-14T22:25:56.9377299Z Entering 'third_party/tensorpipe'
2025-08-14T22:25:56.9441297Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:25:56.9512825Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:25:56.9583438Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:25:56.9643727Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:25:56.9705513Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:25:56.9787421Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T22:25:56.9809971Z http.https://github.com/.extraheader
2025-08-14T22:25:56.9821517Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-14T22:25:56.9857647Z [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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2025-08-14T22:25:57.0290463Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.0373105Z http.https://github.com/.extraheader
2025-08-14T22:25:57.0412284Z Entering 'third_party/FXdiv'
2025-08-14T22:25:57.0464192Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.0559124Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.0644915Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.0731598Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.1457478Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.3104247Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.3323916Z Entering 'third_party/kineto'
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2025-08-14T22:25:57.3488186Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
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2025-08-14T22:25:57.3750336Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:25:57.3798401Z http.https://github.com/.extraheader
2025-08-14T22:25:57.3843930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-08-14T22:25:57.3928911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
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2025-08-14T22:25:57.4018022Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
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2025-08-14T22:25:57.4099788Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
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2025-08-14T22:25:57.4204512Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
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2025-08-14T22:25:57.5224307Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
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2025-08-14T22:25:57.5326385Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
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2025-08-14T22:25:57.5460145Z http.https://github.com/.extraheader
2025-08-14T22:25:57.5500280Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
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2025-08-14T22:25:57.5579788Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
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2025-08-14T22:25:57.5889764Z http.https://github.com/.extraheader
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2025-08-14T22:25:57.6427456Z http.https://github.com/.extraheader
2025-08-14T22:25:57.6481742Z Entering 'third_party/pybind11'
2025-08-14T22:25:57.6533058Z http.https://github.com/.extraheader
2025-08-14T22:25:57.6574917Z Entering 'third_party/python-peachpy'
2025-08-14T22:25:57.6615187Z http.https://github.com/.extraheader
2025-08-14T22:25:57.6656040Z Entering 'third_party/sleef'
2025-08-14T22:25:57.6706939Z http.https://github.com/.extraheader
2025-08-14T22:25:57.6745230Z Entering 'third_party/tensorpipe'
2025-08-14T22:25:57.6793058Z http.https://github.com/.extraheader
2025-08-14T22:25:57.6831209Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:25:57.6872425Z http.https://github.com/.extraheader
2025-08-14T22:25:57.6911892Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:25:57.6961045Z http.https://github.com/.extraheader
2025-08-14T22:25:57.7001248Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:25:57.7046956Z http.https://github.com/.extraheader
2025-08-14T22:25:57.7089150Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:25:57.7131230Z http.https://github.com/.extraheader
2025-08-14T22:25:57.7181344Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:25:57.7226246Z http.https://github.com/.extraheader
2025-08-14T22:25:57.7381616Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-14T22:25:57.7399511Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-08-14T22:25:57.7405369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:25:57.7405819Z ##[endgroup]
2025-08-14T22:25:57.7498469Z [!ALERT!] Swap in detected! [!ALERT!]
2025-08-14T22:26:10.1915277Z [!ALERT!] Swap out detected [!ALERT!]
2025-08-14T22:26:31.1985504Z Cleaning up orphan processes